82 Data Science jobs in Eden Prairie

For more than 14 years Synergisticit has helped Jobseekers stand out from other Jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.

In this market also our candidates get multiple job offers and $100k + salaries.

please check the below links :








Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT

Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT

All Positions are open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates
For data Science/Machine learning Positions
REQUIRED SKILLS
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Project work on the technologies needed
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow

REQUIRED SKILLS For Java /Full stack/Software Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Project work on the skills
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, Docker, Jenkins and REST API's experience
Excellent written and verbal communication skills

If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.

No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

**Job Description**
**The Program:**
Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!
**The Company:**
Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.
**What You'll Do:**
Data Scientist Intern responsibilities may include, but are not limited to:
Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.
Develop models to build solutions to tackle real-world business problems
Interact with product and service teams to identify questions and issues for data analysis and experiments
Communicate your analysis findings to product, service, and business managers
We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle.
**What You'll Bring (Objective Minimum Qualifications):**
To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript.
Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the school year.
Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2026.
Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages:
Python, Java, R, SQL, PL/SQL.
Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries:
Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark
Have completed coursework, projects, internships, and/or research in **two or more** of the following:
Algorithms
Artificial Intelligence
Big Data Query
Data Mining
Data Modeling
Machine Learning
Statistical Inference/Analysis
Attend a university in the US.
Authorized to work in the US in 2026.
No visa sponsorship available
Must be enrolled in a university prior to and following internship completion
What We'll Give You:
**High-impact projects:** You'll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain.
**Mentors that care:** Work with industry-leading professionals and award-winning engineers. On top of your project supervisor, you'll be assigned a peer mentor-a recent hire who can help you navigate the internship experience. You'll also be paired with intern buddies to ensure 360 degree support and engagement.
**World-class training:** Grow from once-in-a-lifetime learning opportunities and exposure to the newest technologies. You'll benefit from comprehensive on-boarding and job-specific training that will help you get the most out of your time with us. Leadership training will help you build your eye for business.
**A fun-filled summer:** Enjoy a close-knit, community experience alongside your class of fellow summer interns. Our interns work across the length and breadth of our business but come together for fun weekly events like tech talks, networking, volunteering, and fun social happenings.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from $19.62 to $3.00 per hour; from: 40,800 to 110,240 per annum.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC0
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Our client is launching an exciting Graduate Associate program, seeking ambitious and analytically minded individuals to join their team in Minneapolis, Minnesota, US . This is an exceptional opportunity for recent graduates to gain hands-on experience in the field of Data Science and contribute to real-world projects. As a Graduate Associate, you will work alongside experienced data scientists and analysts, learning and applying cutting-edge techniques in data mining, machine learning, statistical modeling, and data visualization. Your responsibilities will include data collection, cleaning, and preprocessing; building and evaluating predictive models; assisting in the interpretation of data findings; and presenting insights to stakeholders. You will gain exposure to various tools and technologies used in data science, such as Python, R, SQL, and data visualization platforms. This program is designed to foster professional growth, offering mentorship, training, and opportunities to develop a strong foundation in data-driven decision-making. We are looking for individuals who are passionate about uncovering insights from data, possess strong problem-solving skills, and are eager to learn and contribute in a collaborative team environment. A hybrid work schedule will provide a balanced experience, combining collaborative in-office work with the flexibility of remote access to resources and tasks. This program is ideal for individuals looking to kickstart a career in data science and make a tangible impact.

Responsibilities:

• Assist in the collection, cleaning, and transformation of large datasets.
• Support the development and implementation of machine learning models and statistical analyses.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Assist in the visualization of data and the creation of reports and dashboards.
• Collaborate with senior data scientists on various projects.
• Learn and apply new data science techniques and tools.
• Contribute to the documentation of data processes and model methodologies.
• Participate in team meetings and present findings as required.
• Help in testing and validating data models and algorithms.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong understanding of fundamental statistical concepts and machine learning algorithms.
• Proficiency in at least one programming language commonly used in data science, such as Python or R.
• Familiarity with SQL for database querying.
• Basic knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively both independently and as part of a team.

Job Description

POSITION SUMMARY:

The Senior Manager of Data Science, you will play a pivotal role in shaping and driving the strategy, execution, and support of cutting-edge NMDP data and analytics solutions. The role is responsible for leading the team in the design, development, and delivery of operational intelligence, predictive modeling and machine learning solutions. Your role will help set the vision for the team function, advancing internal processes, and partnering closely with stakeholders to deliver proactive, value-add business insights focused on advancing business performance. As a Senior Manager, you will play a critical role in harnessing the power of data to drive innovation, optimize strategies, and deliver actionable insights, ultimately contributing to our company's continued growth and success.

This individual will have tremendous passion for data and leveraging it to create material value for the organization. This individual is someone who is bound to lead with a high-performance caliber mindset - guiding their team to deliver extraordinary results. This person will be comfortable challenging the status quo, bringing forward innovative ideas, and fostering a continuous improvement culture.

ACCOUNTABILITIES:

Delivering Business Analytics Capabilities:

• Offers visionary thinking and strategic insight to shape and construct the enterprise's data strategy and vision.
• Partners closely with leaders of business units to deliver value add insights to inform future business planning, improve operations, increase efficiencies, and save more lives.
• Develop a deep understanding of available data to drive analysis and answer questions - prepare and champion business cases to expand data sets including 3rd party data assets.
• Strengthen and expand data science capabilities including methodology, best practices, and engagement model that delivers material outcomes including predictive models.
• Promote and deliver a wide range of analytics techniques such as data aggregation, mining, profiling, statistics, forecasting, and predictive analytics, machine learning and artificial intelligence (AI) to solve relevant business needs.
• Deliver varying analyses, key insights, and recommendation through compelling visualizations to support key customers across the entire value chain.
• Manage centralized intake and prioritization channels; ensures robust and effective processes are in place cultivating strong partnerships.
• Identifies opportunities for increased efficiencies. Designs and leads process and technology improvements to optimize efficiency and performance of the team.
• Partner with other leaders to develop and implement programs and resources to enhance data fluency across the organization, ensuring that team members at all levels are proficient in understanding and utilizing data effectively.
• Creates and maintains a solid understanding of the analytics industry - key advancements, emerging trends, and challenges in the space.

Leading People:

• Directly supervises 4-7 data scientist and analyst team members in day-to-day activities to ensure the timely delivery of consistent quality data solutions.
• Hires, trains, mentors, supervises, and evaluates the performance of staff.
• Analyzes strengths and growth opportunities in staff and creates environment of continual learning and growth using short and long-term goal setting.
• Fosters a strong performance culture; continually assesses engagement levels and devises actionable retention plans.
• Manages and leads 3rd party, contractor or offshore team members when needed.

REQUIRED QUALIFICATIONS:

Knowledge of:

• Extensive experience in leveraging statistical models to identify patterns and trends; expertise and/or demonstrated experience with business analytics tools such as SAS or R.
• AI, machine learning and algorithmic background with good understanding one or more of the following areas: supervised & unsupervised learning, embeddings, reinforcement learning, deep learning, Gen AI
• Strong understanding of relational database structures, theories, principles, and practices, including proficiency in SQL.
• Data visualization and dash-boarding experience using Tableau, Looker, or similar.
• Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validation of results.

Ability to:

• Establish and articulate a vision, set goals, develop, and execute strategies, and track and measure results.
• Prioritize and execute tasks in a dynamic environment.
• Communicate ideas in both technical and user-friendly language.
• Effectively write, present, and communicate analytics results with recommendations to leadership across the organization
• Demonstrate a high degree of both technical and business aptitude.
• Demonstrate superior analytical, communication, and problem-solving abilities.
• Build, lead, and motivate high performance teams.

Education and/or Experience:

• 7+ years of Analytics or Data Science experience, including at least 3 years of direct people management and leadership experience.
• 3+ years professional hands-on experience operating in a data analyst / data scientist capacity; utilizing varying tools and techniques such as data mining, statistical modeling reporting tools, and querying databases to translate data into actionable insights.
• Bachelor's degree in computer science, Information Technology, Statistics, Mathematics, or equivalent experience; MBA desired.

Responsibilities

POSITION SUMMARY:

The Senior Manager of Data Science, you will play a pivotal role in shaping and driving the strategy, execution, and support of cutting-edge NMDP data and analytics solutions. The role is responsible for leading the team in the design, development, and delivery of operational intelligence, predictive modeling and machine learning solutions. Your role will help set the vision for the team function, advancing internal processes, and partnering closely with stakeholders to deliver proactive, value-add business insights focused on advancing business performance. As a Senior Manager, you will play a critical role in harnessing the power of data to drive innovation, optimize strategies, and deliver actionable insights, ultimately contributing to our company's continued growth and success.

This individual will have tremendous passion for data and leveraging it to create material value for the organization. This individual is someone who is bound to lead with a high-performance caliber mindset - guiding their team to deliver extraordinary results. This person will be comfortable challenging the status quo, bringing forward innovative ideas, and fostering a continuous improvement culture.

ACCOUNTABILITIES:

Delivering Business Analytics Capabilities:

• Offers visionary thinking and strategic insight to shape and construct the enterprise's data strategy and vision.
• Partners closely with leaders of business units to deliver value add insights to inform future business planning, improve operations, increase efficiencies, and save more lives.
• Develop a deep understanding of available data to drive analysis and answer questions - prepare and champion business cases to expand data sets including 3rd party data assets.
• Strengthen and expand data science capabilities including methodology, best practices, and engagement model that delivers material outcomes including predictive models.
• Promote and deliver a wide range of analytics techniques such as data aggregation, mining, profiling, statistics, forecasting, and predictive analytics, machine learning and artificial intelligence (AI) to solve relevant business needs.
• Deliver varying analyses, key insights, and recommendation through compelling visualizations to support key customers across the entire value chain.
• Manage centralized intake and prioritization channels; ensures robust and effective processes are in place cultivating strong partnerships.
• Identifies opportunities for increased efficiencies. Designs and leads process and technology improvements to optimize efficiency and performance of the team.
• Partner with other leaders to develop and implement programs and resources to enhance data fluency across the organization, ensuring that team members at all levels are proficient in understanding and utilizing data effectively.
• Creates and maintains a solid understanding of the analytics industry - key advancements, emerging trends, and challenges in the space.

Leading People:

• Directly supervises 4-7 data scientist and analyst team members in day-to-day activities to ensure the timely delivery of consistent quality data solutions.
• Hires, trains, mentors, supervises, and evaluates the performance of staff.
• Analyzes strengths and growth opportunities in staff and creates environment of continual learning and growth using short and long-term goal setting.
• Fosters a strong performance culture; continually assesses engagement levels and devises actionable retention plans.
• Manages and leads 3rd party, contractor or offshore team members when needed.

REQUIRED QUALIFICATIONS:

Knowledge of:

• Extensive experience in leveraging statistical models to identify patterns and trends; expertise and/or demonstrated experience with business analytics tools such as SAS or R.
• AI, machine learning and algorithmic background with good understanding one or more of the following areas: supervised & unsupervised learning, embeddings, reinforcement learning, deep learning, Gen AI
• Strong understanding of relational database structures, theories, principles, and practices, including proficiency in SQL.
• Data visualization and dash-boarding experience using Tableau, Looker, or similar.
• Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validation of results.

Ability to:

• Establish and articulate a vision, set goals, develop, and execute strategies, and track and measure results.
• Prioritize and execute tasks in a dynamic environment.
• Communicate ideas in both technical and user-friendly language.
• Effectively write, present, and communicate analytics results with recommendations to leadership across the organization
• Demonstrate a high degree of both technical and business aptitude.
• Demonstrate superior analytical, communication, and problem-solving abilities.
• Build, lead, and motivate high performance teams.

Education and/or Experience:

• 7+ years of Analytics or Data Science experience, including at least 3 years of direct people management and leadership experience.
• 3+ years professional hands-on experience operating in a data analyst / data scientist capacity; utilizing varying tools and techniques such as data mining, statistical modeling reporting tools, and querying databases to translate data into actionable insights.
• Bachelor's degree in computer science, Information Technology, Statistics, Mathematics, or equivalent experience; MBA desired.

We anticipate the application window for this opening will close on - 15 Oct 2025
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
**A Day in the Life**
In this role, you will drive the strategic development of scalable AI and MLOps platforms for defect inspection and visual process monitoring across Medtronic's diverse product portfolio. You will convert proof-of-concepts into production-grade solutions, ensuring global scalability, reliability, and compliance in regulated manufacturing environments.
At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We're working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. 
+ Define and execute the **strategic roadmap for Analytics for Manufacturing Imaging** , including data ingestion, annotation governance, model training, deployment, and lifecycle management.
+ Architect end-to-end workflows in **AWS SageMaker,** **NVIDIA TAO Toolkit** **,** **PyTorch** **, and** **other custom training** **pipelines** , ensuring reproducibility, scalability, and regulatory compliance.
+ Develop advanced computer vision solutions, including **segmentation, anomaly detection, and transformer-based vision models** , while integrating hybrid approaches using **Halcon and** **OpenCV**
+ Prototype and adapt **foundation models** (e.g., DINOv2, SAM 2.1) using **transfer learning and self-supervised methods** , translating research into validated, domain-specific solutions for manufacturing.
+ Lead initiatives to **operationalize** **DataOps** **automation** and model-assisted annotation to accelerate high-quality ground-truth creation.
+ Plan and direct **AI/ML** **model** from experimentation to deployment, ensuring performance benchmarking, validation, and compliance with medical device quality standards.
+ Build compelling business cases supported by ROI analysisand projected operational benefits to prioritize enterprise AI/ML initiatives.
+ Provide strategic leadership for the **Manufacturing Imaging & Analytics Center of Excellence** , setting best practices and enabling adoption of AI/ML solutions at global manufacturing sites.
+ Partner with Manufacturing, Automation, Process, Quality, and IT to ensure seamless integration of AI/ML models and algorithms into production systems.
+ Engage with external vendors, integrators, and suppliers to align internal platform development with cutting-edge AI/ML and industrial technologies.
+ Champion **training, knowledge-sharing, and technical playbooks** to democratize AI/ML practices and accelerate adoption across the enterprise.
**People-centered, data-driven, connected.** We're solving the world's biggest health challenges with medical device technology. From less-invasive surgery to the world's smallest pacemaker, our technology transforms lives - powered by AI and data-driven insight.
**Must Haves**
+ Bachelor's Degree and 7+ years of AI/ML engineering experience, including computer vision and MLOps, OR advanced degree with 5+ years of experience.
**Nice to Have**
+ The ability and self-motivation to take a strategy and vision, define and manage project deliverables, anddeliver scalableproject outcomes
+ Proven track record of **designing and deploying production-grade AI/ML solutions** in manufacturing environments.
+ Expertise in **AWS SageMaker,** **PyTorch** **, and** **MLOps** **toolchains** (ClearML, GitLab CI/CD, Docker, Kubernetes/EKS, Helm, Triton Inference Server).
+ Strong Expertisein **computer vision algorithm development** , leveraging both deep learning and hybrid rules-based approaches (Halcon, OpenCV).
+ Proficiency with **data curation and annotation platforms** (Voxel51, V7) for large-scale model training.
+ Excellent communication and knowledge-sharing skills, with experience building **Centers of Excellence, technical standards, and training frameworks** .
+ Ability to collaborate effectively with a wide range of stakeholders and internal customers, from manufacturing process to quality and automation engineers
+ Knowledge of **advanced imaging** for manufacturing.
+ Experience scaling **Industry 4.0/IoT cloud-to-edge AI architectures** .
+ Experience in **validation and performance analysis** (MSA, IQ/OQ/PQ, TMV) ensuring regulatory compliance and reliability.
+ Publications or patents in AI/ML computer vision or manufacturing analytics.
+ Experience with transfer learning and training domain-specific models using self-supervised learning and foundation model adaptation.
**Physical Job Requirements**
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 
The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
**Benefits & Compensation**
**Medtronic offers a competitive Salary and flexible Benefits Package**
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
Salary ranges for U.S (excl. PR) locations (USD):$160,800.00 - $241,200.00
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).
The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program).
The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).
Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico.
Further details are available at the link below:
Medtronic benefits and compensation plans ( Medtronic**
We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
Learn more about our business, mission, and our commitment to diversity here ( .
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
If you are applying to perform work for Medtronic, Inc. ("Medtronic") in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here ( a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
**We change lives** . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.
**We build extraordinary solutions as one team** . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.
**This life-changing career is yours to engineer** . By bringing your ambitious ideas, unique perspective and contributions, you will.
+ **Build** a better future, amplifying your impact on the causes that matter to you and the world
+ **Grow** a career reflective of your passion and abilities
+ **Connect** to a dynamic and inclusive culture that welcomes the challenge of life-long learning
These commitments set our team apart from the rest:
**Experiences that put people first** . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need.
**Life-transforming technologies** . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms.
**Better outcomes for our world** . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.
**Insight-driven care** . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.
This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here ( .
For updates on job applications, please go to the candidate login page and sign in to check your application status.
If you need assistance completing your application please email
To request removal of your personal information from our systems please email

**Job Description:**
**AI Data Science Research Specialist**
**Collaborate with Innovative 3Mers Around the World**
Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.
**This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.**
**The Impact You'll Make in this Role**
As an **AI Data Science Research Specialist** in 3M's Corporate Research Laboratory, you will work on a team developing novel learning system frameworks. You will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. We're looking for a data researcher familiar working with statistics and experience creating data structures on neural networks who can work closely with other research scientists to implement experimental systems, simulation infrastructure, and architecture modifications. This role will create research code creating real time data management methods including parallelization. This is a great fit for someone who enjoys solving new data handling problems, creating new fundamental methods, iterative design, and working closely with other technical thinkers.
Here, you will make an impact by:
+ Write modular, testable code to implement real time data management methods, statistics, or architectural mechanisms.
+ Work from whiteboards, specs, and conversations-not product docs.
+ Extend an evolving codebase that supports structured learning experiments.
+ Help organize internal data structure for system components (e.g., experimental runners, memory modules, parameter schedulers).
+ Write structured logging and diagnostic tools to support hypothesis-driven debugging.
+ Collaborate with other researchers who define the "what"; your job is to create the "how."
**Your Skills and Expertise:**
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
+ Ph.D. in Data Science, Computer Science, Software Engineering, or a related field (completed and verified prior to start) from an accredited university.
+ Five (5) years of experience in fundamental data science **research and implementation** in academic, private, public, government, or military environment.
Additional qualifications that could help you succeed even further in this role include:
+ Strong fluency in coding, including object-oriented programming and functional idioms.
+ Experience working in scientific, data-intensive, or ML-related environments.
+ Comprehensive understanding of deep learning internals (embeddings, attention, optimization) and the ability to think critically about fundamental data structures and management.
+ Experience implementing statistics in a research environment including detection theory, frequentist and Bayesian methods, and estimation theory.
+ Working knowledge of neuro-symbolic AI systems.
+ Comfortable building and modifying systems from scratch.
+ Interest in systems that involve simulation, learning, or recursive dynamics.
+ Familiarity with fundamental concepts of data parallelization and real time management in neural networks.
+ Experience with visualization methods in structured probabilistic models.
+ Able to work on a team where the problem is evolving, and code is shared.
+ Curious, fast learner, solid communicator.
+ Strong fluency in Python.
**Work location: Remote in the United States**
**Travel: up to 20% domestic travel**
**Relocation Assistance: May be authorized for relocation to Maplewood, MN**
**Supporting Your Well-being**
3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
**Chat with Max**
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.
Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: Faith Posting Date Range 09/24/2025 To 10/24/2025 Or until filled
All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.
Learn more about 3M's creative solutions to the world's problems at or on Instagram, Facebook, and LinkedIn @3M.
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.
Pay & Benefits Overview: does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.
**Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.**
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At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at or on Twitter @3M or @3MNews.
3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

**Company :**
Highmark Health
**Job Description :**
**JOB SUMMARY**
Solve complex healthcare challenges at the forefront of innovation. Highmark Health is seeking a Director Data Science R&D to pioneer the introduction of new analytical approaches and transform complex data into actionable insights. You'll be a catalyst for change, collaborating with senior leaders to implement data-driven strategies aligned with the Quintuple Aim. Join our dynamic Advanced Analytics group and unlock your potential to revolutionize healthcare through innovative data science.
**ESSENTIAL RESPONSIBILITIES**
+ Perform management responsibilities to include, but are not limited to: involved in hiring and termination decisions, coaching and development, rewards and recognition, performance management and staff productivity.Plan, organize, staff, direct and control the day-to-day operations of the department; develop and implement policies and programs as necessary; may have budgetary responsibility and authority.
+ Develop and deliver the vision, strategy, development, and coordinate execution of Highmark Health's data science capability.Be our main subject matter expert for data science methodologies, and advise colleagues on their correct application, and drive innovation within our data science community.Keep up to date with developments in the field of data science, and lead the coordination of technology partners and advanced analytics colleagues to ensure our data science teams have access to and are using most appropriate tools and resources, in the present and longer-term. Represent Highmark as a healthcare industry leader in the field of advanced analytics internally and externally.
+ Represent the entire Advanced Analytics group as the number one stakeholder for Highmark's analytical data products, ensuring our data colleagues aresupplying us with the most relevant, highest quality features and that all feature engineering / data exploration done with our group is fed back to the data teams to be productionized and made available to everyone.
+ Oversee delivery of novel data science use cases, which do not meet any of our existing patterns.This includes working with reports to partner with the business to understand their need and requirements, design a solution, introduce any necessary adaptations in our processes to deliver that solution, and drive implementation and adoption by the business.It also includes generalizing the use case, and maturing it into a data science pipeline (where appropriate).
+ Other duties as assigned or requested.
**EDUCATION**
**Required**
+ Doctorate degree in STEM, Health Services Research or related field **OR** Master's Degree inSTEM, Health Services Research, Business or related field with 7 years of relevant work experience
**Preferred**
+ None
**EXPERIENCE**
**Required**
+ 10 years of Advanced Statistical Analysis
+ 5 years in Management and/or Leadership role
+ 3 years of Consulting and/or working with Senior Leaders
**Preferred**
+ 3 years of Product Ownership
+ 3 years in Healthcare Industry
+ 1 year of Research and Development / Innovation
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ None
**SKILLS**
+ Data science methods
+ Data Science Tools
+ Stakeholder Management
+ Presentation
+ Communication
+ People Management
+ Project Management
+ Python
+ Spark
+ Artificial Intelligence
+ Machine Learning
+ Cloud platforms
+ Software Engineering

**Language (Other than English)**
None
**Travel Requirement**
0% - 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
Position Type
Office-Based
Teaches / trains others regularly
Frequently
Travel regularly from the office to various work sites or from site-to-site
Rarely
Works primarily out-of-the office selling products/services (sales employees)
Never
Physical work site required
No
Lifting: up to 10 pounds
Frequently
Lifting: 10 to 25 pounds
Occasionally
Lifting: 25 to 50 pounds
Rarely
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$126,400.00
**Pay Range Maximum:**
$236,000.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Manager, NFR Data Science in Non-Financial Risk for our Consulting practice.

Responsibilities:

• Serve as the technical lead on projects to design and develop advanced AI/ML solutions to meet clients' unique requirements, including participation in internal and external discussions to gather business use case requirements, provide advanced analytics and data science expertise and solution options for business problems
• Engineer solutions using natural language processing and machine learning techniques to solve critical problems and improve processes for clients across capital markets and financial services businesses, including trade surveillance, electronic communications surveillance, payments fraud detection, third-party risk management and other operational risk categories
• Utilize machine learning, natural language, and statistical analysis methods, such as sentiment analysis, topic modeling, time-series analysis, regression, classification, statistical inference, and validation methods to review financial services client risks
• Perform explanatory data analyses, generate and test working hypotheses; prepare and analyze historical data and identify patterns to develop innovative solutions to financial services operational risk and regulatory compliance programs
• Lead technical teams, mentor junior data scientists, and grow data science expertise within the broader team, including offshore; collaborate with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that AI/ML solutions meet the needs and expectations of various stakeholders
• Present to key stakeholders, such as approach, data requirements, interim findings, and final solution architecture and infrastructure

Qualifications:

• Minimum six years of recent professional experience working in advanced analytics and data science; minimum two years of recent experience managing teams and delivering complex and critical projects
• Bachelor's degree from an accredited college/university in a relevant STEM field such as data science, computer science, engineering, mathematics, physics and other related fields
• Extensive experience in AI/ML algorithm development and data analysis including at least one of the following: NLP, time-series analysis, predictive modeling; experience with scripting, data structures and algorithms and ability to work with large amounts of data
• Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers)
• Excellent communication, written, presentation, and problem-solving skills
• Previous technical client service experience preferred
• Ability to travel as required (based on location and clients served)

KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at "Benefits & How We Work".

Follow this link to obtain salary ranges by city outside of CA:

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

**Brand:** Post Consumer Brands
**Categories:** Information Technology
**Locations:** Lakeville, Minnesota
**Position Type:** Regular Full-Time
**Remote Eligible:** No
**Req ID:** 28846
**Job Description**
**Business Unit Overview**
Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats®, PEBBLES®, Grape-Nuts® and Malt-O-Meal® cereal, and Peter Pan® peanut butter, as well as Nutrish®, Kibbles 'n Bits® and 9Lives® dog and cat food. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit and follow us on LinkedIn and Facebook for the latest news.
**Brand**
At Post Consumer Brands, we've spent generations showing up for families, starting with breakfast, the most important meal of the day. Our cereals have become a trusted part of daily routines, helping spark conversations, fuel busy mornings, and create everyday moments that bring families closer together, including their furry four-legged family members, who have recently become a part of our story. As families have evolved, so have we. What began at the breakfast table has expanded into snacks, peanut butter, and, more recently, pet food, because caring for a family means feeding every part of it. With the addition of several iconic pet brands, we've extended our purpose: to make high-quality, accessible food for everyone under the same roof.
This phase is still new, and that's what makes it exciting. As we continue to grow across grocery and pet, we're looking for people who care about good food, thoughtful work, and the kind of impact that stretches from store shelves to kitchen tables, and food bowls, across the country.
**Location Description**
Post Consumer Brands corporate headquarters in Lakeville, Minn. is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.
**Responsibilities**
**Sr. Manager, Data Science & GenAI**
Do you see patterns or opportunities in data that others don't? Are you passionate about applying advanced analytics and generative AI to solve real-world business challenges? Do you thrive on influencing cross-functional teams and senior leaders to embrace data-driven innovation?
As a Sr. Manager of Data Science and GenAI at Post Consumer Brands, you will lead the charge in transforming data into strategic insights and next-generation solutions. You'll guide a team of Data Scientists and Machine Learning Engineers, and collaborate across departments to drive adoption of GenAI and advanced analytics. This is a high-impact role for a visionary leader who combines technical depth with the ability to influence and inspire.
**Key Responsibilities**
+ **Lead Data Science Strategy & Execution** Translate complex business problems into analytical frameworks. Build and scale data science capabilities across PCB, leveraging tools and standards from Post Holdings.
+ **Champion GenAI Innovation** Stay ahead of emerging GenAI trends and technologies. Identify high-impact use cases and lead the design, development, and deployment of generative AI models that drive measurable business outcomes.
+ **Influence & Evangelize Across the Organization** Partner with senior leaders in finance, supply chain, manufacturing, sales, and marketing to prioritize opportunities and influence strategic decisions. Communicate the value of data science and GenAI in clear, compelling ways to drive adoption and alignment.
+ **Build & Mentor a High-Performing Team** Lead a team of data scientists and ML engineers, fostering a culture of innovation, collaboration, and continuous learning. Provide coaching, feedback, and development opportunities to grow technical talent.
+ **Drive Operational Excellence** Manage resources and project prioritization to align with company strategy. Oversee ML Ops, model deployment, and post-mortem analyses to ensure accuracy and continuous improvement.
+ **Develop & Communicate Insights** Create intuitive dashboards and visualizations in Tableau or Power BI. Present findings and recommendations to stakeholders in a clear, actionable format.
+ **Implement GenAI Strategy** Collaborate with IT leadership to align GenAI initiatives with enterprise goals. Ensure responsible usage and support through best practices and training.
**Qualifications**
+ Proven experience in data science, machine learning, and generative AI technologies
+ Strong track record of influencing cross-functional teams and senior leadership
+ Experience leading end-to-end data science projects from ideation to deployment
+ Familiarity with ML Ops, model evaluation, and data visualization tools
+ Passion for GenAI and its transformative potential in business
+ Demonstrated ability to mentor technical teams and foster innovation
**Qualifications**
**Education:** Bachelor's degree from four-year college or university and advanced degree preferred (Computer Science, Management Information Systems, Economics, Finance, Business, Mathematics, Statistics, or other quantitative subject a plus) or seven to 10 years related experience; or equivalent combination of education and experience.
**Experience:**
+ CPG experience preferred.
+ 6-8 years of proven experience leading collaborative data science projects with technical and non-technical stakeholders, driving and communicating tangible business value succinctly
+ 4-6 years of development experience in an object-oriented programming language (Python 3.x preferred). Knowledge of software design (libraries, classes, functions), testing (logging, debugging), and versioning (Git, continuous deployment)
+ Experience building products that use or incorporate Large Language Models.
+ Experience with machine learning platforms and cloud computing, e.g., Microsoft Azure ML (preferred), Amazon SageMaker, Google Vertex AI
+ Demonstrated expertise in open-source libraries for advanced data analysis, statistical/machine learning models, and optimization, e.g. Pandas, Sci-Kit learn, Scipy, and OR Tools for Python
+ 4-6 years of experience designing solutions with business intelligence, reporting, or data visualization software packages (Tableau, PowerBI, Qlik, Looker, Cognos, R Shiny, D3, Python matplotlib)
+ Excellent written and verbal communication skills, including the ability to concisely convey analytical interpretation and/or data issues to business functions.
+ Ability to prioritize and manage multiple projects and competing priorities, and follow-through on committed deliverables using team-based project management with both Agile and Waterfall approaches to meet deadlines and deliver high-quality work.
+ Complex relational database development, maintenance, and exception testing experience (Snowflake, Oracle, etc.).
The pay range for this position is $113,987 - $177,820 per year.
Post Holdings provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, status as a covered veteran and any other category protected under applicable federal, state, provincial and local laws.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)