What Jobs are available for Data Science in Boise?

**Summary:**
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Our Mission**
As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*Comscore, Total Visits, March 2025)
**Day to Day**
At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Director of Data Science to define and drive our data science endeavors for Indeed's Marketing organization. The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams.
Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day.
As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers.
**Responsibilities**
+ Define and oversee the data science roadmap, aligning with broader company goals
+ Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Intercementality testing.
+ Manage teams of data scientists and data engineers, nurturing their growth and ensuring delivery of key projects
+ Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization
+ Collaborate with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences
+ Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements
**Skills/Competencies**
+ Bachelor's Degree in Computer Science, Mathematics, Statistics
+ 10+ years of experience in data science, analytics, or a related field with 5+ years in a leadership role overseeing data science teams
+ A deep understanding of machine learning, statistical modeling, and predictive analytics.
+ Experience with LLMs
+ Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale
+ Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with product teams to drive business growth
+ Experience communicating and influencing product, technical, and business direction across all levels of a large organization
**Salary Range Transparency**
US Remote 204,000 - 296,000 USD per year
Austin Metro Area 204,000 - 296,000 USD per year
NYC Metro Area 224,000 - 324,000 USD per year
Seattle Metro Area 237,000 - 343,000 USD per year
San Francisco Bay Area 244,000 - 354,000 USD per year
**Salary Range Disclaimer**
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
**Benefits - Health, Work/Life Harmony, & Wellbeing**
We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at Opportunities and Accommodations Statement**
Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds.
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For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page ( & Belonging**
Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.
Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
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**Reference ID:** **46207**
**The deadline to apply to this position is (11/5/2025). Job postings may be extended at the hiring team's discretion based on applicant volume.**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Reference ID: 46207

**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 vision is to transform how the world uses information to enrich life for** **_all_** **.**
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Micron's Data Science experts develop AI and data-driven solutions to tackle hard to solve challenges in semiconductor process and fab technology development. The team plays a key role in enabling intelligent automation and decision-making across Micron's portfolio
**Responsibilities**
+ Own the creation of AI systems optimizing semiconductor design, product engineering, verification & validation, and manufacturing workflows using large-scale data.
+ Architect and implement Agentic AI systems that integrate with Modeling tools, EDA tools, design environments, and product/manufacturing test platforms to automate tasks such as spec translation, design verification, product validation, and test log root cause analysis for components and system-level products.
+ Establish and promote Best Known Methods (BKMs) for deploying LLMs and agentic systems in live environments, ensuring reliability, efficiency, and maintainability.
+ Benchmark and evaluate model performance using structured evaluation frameworks, and continuously refine models through timely tuning, RLHF, and feedback loops.
+ Collaborate with multi-functional teams-including process engineers, design engineers, product and test engineers, and data scientists-to define high-impact problem statements and deliver scalable AI solutions.
+ Communicate technical insights and solution strategies clearly to both technical and non-technical team members through compelling data storytelling and visualizations.
**Minimum Qualifications**
+ Must have a Master's, PhD, or equivalent experience in Electrical Engineering, Computer Science, or a related field.
+ Proficient in Python, with five years of experience working with a variety of semiconductor design & process datasets. Proficient in using enterprise data platforms like Snowflake, BigQuery, MSSQL, Oracle, and AWS Redshift for scalable data processing and analysis.
+ Hands-on experience building and leading AI/ML projects involving LLMs, RAG, and Agentic workflows deployed, demonstrated expertise in ML frameworks such as PyTorch or TensorFlow.
+ Solid understanding of domain-adapted LLM training with practical experience, including pretraining, post training on in-domain synthetic datasets, and model quantization for efficient deployment
+ Must have shown cloud platform experience such as GCP, AWS, or Azure, including deployment of ML pipelines in production environments.
+ Familiarity with LLM evaluation and benchmarking techniques, including RLHF, timely tuning, and reward modeling for hardware-aware use cases.
+ Consistent track record to independently drive AI/ML projects from problem prioritization through deployment in semiconductor environments.
+ Excellent interpersonal experience with the ability to collaborate with process technology, silicon design, design verification, validation, and product engineering teams, and translate sophisticated AI/ML concepts into actionable solutions for hardware development.
**Preferred Qualifications**
+ Experience includes direct application of AI/ML to semiconductor design, processing, workflows.
+ Deep understanding of semiconductor-specific AI/ML applications.
+ Experience with CI/CD pipelines and MLOps practices for ML/LLM deployment.
+ Strong understanding of agentic AI frameworks (e.g., LangGraph, AutoGen) and evaluation tools (e.g., AgentEval).
+ Shown proficiency in translating sophisticated technical concepts into actionable insights for multi-functional teams!
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your **right to work click here. ( learn more about Micron, please visit **micron.com/careers**
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert **:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Data Engineer III - Data Science
Location:
Boise, ID, US,
The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
**Summary**
This role applies an advanced level of subject matter knowledge to solve a variety of common and complex business issues. Works on problems/projects of diverse complexity and scope, which may require in-depth evaluation of multiple data and technology disciplines. Utilizes professional concepts and theoretical knowledge acquired through specialized training, education or previous experience. Exercises independent judgment within general to broadly defined parameters or practices to determine appropriate action. Develops expertise and practical knowledge of applications within business environment. May act as a project leader providing expertise or direction for solution development. Handles most unique situations independently and has awareness of when to seek advice to make decisions on complex business or technical issues. Acts as an informed team member by providing information, analysis and recommendations in support of team efforts. Evaluates unique circumstances and makes recommendations. Provides mentoring and guidance to team members with less experience. Frequently represents the organization to external customers / clients.
Robust data from a wide variety of sources are essential to the Data Science team to create long-term differential business value. We are looking for a Data Engineer who is excited about building and supporting data pipelines in our cloud environment.
**Why This Role is Exciting**
+ _Work with Leading Tools_ : Get hands-on experience with Azure Data Factory and Databricks for data processing. Source and structure raw information to help data scientists solve complex business problems.
+ _Expand Your Expertise_ : Grow your knowledge in high-demand areas like DevOps automation, cloud platforms, and advanced data analytics.
+ _Join an Innovative Team_ : The Data Science team has delivered innovations recognized across the company and is poised to deliver more.
**Key Responsibilities**
+ Participates as a member of a data engineering team; mentors and guides other engineers.
+ Maintains and optimizes data platform performance, ensuring reliability and efficiency across development and production environments.
+ Collaborates with data scientists to deploy, monitor, and optimize machine learning models and applications.
+ Performs analysis of technical requirements of high complexity.
+ Designs and develops solutions of high complexity.
+ Completes technical work individually or through/with other data engineers.
+ Leads design and outcome reviews.
+ Designs, prepares, and executes manual and/or automated test plans and scripts.
+ Applies in-depth or broad technical knowledge of data engineering to provide maintenance and support of solutions across multiple areas.
+ Represents team to leadership, business, and technical partners.
+ Demonstrates technical leadership and exerts influence beyond immediate team.
+ Develops innovative architectural solutions to complex problems.
+ Integrates technical expertise and business understanding to create superior solutions for company and customers.
+ Manages work completed by Vendors for specific initiatives.
**Typical Education**
Bachelor's Degree (B.A. or B.S.) from 4 year college or university
**Relevant Experience**
+ 5+ years minimum related experience and/or training
+ Advanced understanding of data engineering, filling the role of Subject Matter Expert (SME), and owning issue escalations of the highest complexity.
+ Proficient in one or more programming languages such as Python or SQL.
+ Experience with Azure DevOps, Databricks, SQL, and Data Modeling.
+ Strong verbal and written communication skills, contributing to team design activities and documentation.
+ Can apply critical thinking skills to solving problems and a strong technical aptitude.
+ Experience in data collection from sensors and monitoring systems installed on industrial machinery within a manufacturing facility is ideal but not required.
+ Experience delivering data solutions through agile software development methodologies is ideal but not required.
+ Experience with scalable ML infrastructure and model lifecycle management within environments like Posit Workbench is ideal but not required.
**Required Certifications**
**Other Information**
**Job Requisition ID** : 23765
**Travel Required** :
**Location(s)** : Simplot Headquarters - Boise
**Country:** United States
***The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. ***

**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

The team and the role
The Strategic Analytics team is dedicated to delivering actionable insights to finance and operational leaders, empowering them to make data-driven decisions that drive organizational success. By leveraging advanced analytical techniques and cutting-edge technologies, the team transforms complex data into clear, strategic recommendations. Our team members collaborate closely with various departments to understand their unique challenges and opportunities, ensuring that our analyses are both relevant and impactful. Join us to be at the forefront of strategic decision-making, where your analytical skills will directly contribute to shaping the future of our Firm.
Recruiting for this role ends on November 13, 2025
Key Responsibilities
+ Lead large-scale data science projects: Oversee the planning, execution, and delivery of highly complex predictive modeling initiatives that impact firm-wide strategies and practices
+ Strategic analytics & model development: Design, build, and validate predictive models to forecast critical business outcomes, ensuring solutions align with firm leadership's goals
+ Continuous improvement: Identify and implement opportunities to enhance modeling processes, data pipelines, and project methodologies to ensure ongoing innovation, efficiency, and best-in-class results
+ Data stewardship & feature engineering: Direct acquisition, preparation, and enrichment of datasets from diverse sources to maximize model accuracy and relevance
+ Model deployment & impact measurement: Guide integration of predictive models into business operations, set up monitoring systems, and refine models based on real-world feedback
+ Communication & stakeholder management: Translate analytics insights into clear, actionable recommendations for leadership, and deliver compelling visualizations and reports
The successful candidate will possess:
+ Ability to translate analytical findings into strategic business recommendations tailored for firm leadership and decision makers
+ Proven leadership in managing analytics teams or projects, including mentoring, team-building, and overseeing model deployment
+ Exceptional stakeholder engagement, collaboration, and interpersonal skills, with experience liaising between technical and business teams
Qualifications
Required:
+ Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or related field
+ Minimum 8 years in predictive analytics, data science, or related roles
+ Expertise in predictive modeling techniques, including time-series forecasting, ensemble methods, and machine learning algorithms
+ Proficiency with data science programming languages such as Python, R, and SQL, and experience using leading machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost)
+ Strong statistical analysis skills, including hypothesis testing, model validation, and performance measurement
+ Experience with data visualization tools (e.g., Tableau) and ability to communicate complex results in clear, actionable formats for executive stakeholders
+ Demonstrated project management skills, including managing deliverables, prioritizing tasks, and meeting deadlines under pressure
+ Ability to travel 0 - 5%, on average, based on the work you do and the clients and industries/sectors you serve.
+ Limited immigration sponsorship may be available
Preferred:
+ Experience in a professional services firm
+ Expertise in Tableau and DataRobot
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $253,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation:
qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

**Lead AI Innovation Lead - Data Science Lab**
**Overview**
Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution.
Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience.
Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.
In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
**Key Responsibilities Include:**
Leadership & Strategy
+ Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives.
+ Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence.
+ Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption.
+ Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner.
Innovation & Research
+ Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies.
+ Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches.
+ Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units.
+ Create patentable technologies and methodologies that drive long-term innovation.
AI/ML Development
+ Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases.
+ Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI.
+ Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs.
+ Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing.
Operational Excellence
+ Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment.
+ Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management.
+ Actively participate in proof-of-concept evaluations of new data, software, and technologies.
Collaboration & Integration
+ Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions.
+ Contribute to the standardization of data science tools, processes, and best practices across the enterprise.
+ Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences
**You are:**
+ You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
+ You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
+ You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.
+ You have demonstrated track record of managing data science teams and working with business leaders.
**You have:**
+ PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field
+ 7+ years of hands-on ML modeling/development experience
+ Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)
+ Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
+ Strong programming skills in Python including PyTorch and/or Tensorflow
+ Solid background in algorithms and a range of ML models
+ Experience leading team of Data Scientist of four or more
+ Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
+ Excellent analytical and problem-solving abilities with superb attention to detail
+ Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
**Location:**
+ Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA
+ Remote Candidates who can travel up to 20% of the time to our New York office will be considered.
**Salary Range:**
$148,940.00 - $244,685.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
**Our Promise**
At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
**Inspire Well-Being**
As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at . _Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits._
**Equal Employment Opportunity**
Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.
**Accommodations**
Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .
**Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.**
Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com .

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions.
The Team
Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth.
GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives.
Recruiting for this role ends on December 1, 2025
Work You'll Do
Client Engagement & Solution Scoping
+ Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases.
+ Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents).
+ Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation.
+ Solution Architecture & Design
+ Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.).
+ Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms).
+ Define and govern reliable, ethical, and compliant data sourcing and management.
Development & Customization
+ Lead model fine-tuning, prompt engineering, and customization for client-specific needs.
+ Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience.
+ Drive thorough validation, testing, and iteration to ensure quality and accuracy.
Implementation, Deployment & Change Management
+ Manage solution rollout, including cloud setup, configuration, and production deployment.
+ Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users.
Risk, Ethics & Compliance
+ Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes.
+ Monitor performance, implement KPIs, and manage model retraining and auditing processes.
Stakeholder Communication
+ Prepare executive-level reports, dashboards, and demos to summarize progress and impact.
+ Coordinate across internal teams, tech partners, and clients for effective project delivery.
Continuous Improvement & Thought Leadership
+ Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams.
+ Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies.
Qualifications
Required:
+ Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
+ 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI.
+ Independent thinker who can create the vision and execute on transforming data into high end client products.
+ Demonstrated accomplishments in the following areas:
+ Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering).
+ Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP).
+ Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows.
+ Knowledge of solution architecture, risk assessment, and mapping technology to business goals.
+ Familiarity with agile methodologies and iterative delivery.
+ Commitment to responsible AI, including data ethics, privacy, and regulatory compliance.
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available.
Preferred:
+ Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials.
+ Experience with data visualization tools such as Tableau
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation
qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.