668 Data Science jobs in San Bruno
Data-Science
Posted 3 days ago
Job Viewed
Job Description
Nextracker is the leading provider of intelligent solar tracking systems, offering advanced solutions that optimize the performance and reliability of utility-scale solar power plants around the world. Our technology enables maximum energy yield, grid resilience, and operational efficiency-supporting a more sustainable energy future.
Key Responsibilities:
- Assist in the development and evaluation of machine learning models for image-based object detection and tracking.
- Preprocess and annotate image datasets for training and validation.
- Implement and fine-tune deep learning architectures (e.g., CNNs, YOLO, Faster R-CNN) for real-time image recognition tasks.
- Collaborate on model deployment pipelines using tools such as TensorFlow Serving, ONNX, or Docker.
- Analyze model performance and contribute to iterative improvements.
- Document findings, experiments, and best practices.
- Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Strong foundation in Python and machine learning libraries (e.g., TensorFlow, PyTorch, OpenCV).
- Familiarity with image processing techniques and computer vision concepts.
- Experience with version control (Git) and cloud platforms (AWS, GCP, or Azure) is a plus.
- Excellent problem-solving skills and a collaborative mindset.
The hourly rate for this position is $45-50/hr
At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services.
For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations.
Nextracker is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Culture is our Passion
Data Science Lead
Posted 4 days ago
Job Viewed
Job Description
Data Science Lead
Description -
Job Summary
• This role is responsible for overseeing a team of machine learning engineers and data scientists, guiding the development of machine learning models, and aligning them with business goals. The Data Science Lead designs and builds robust models to support business decisions and strategies. The role triages new AI/ML use cases and formulates a plan for delivery. The role communicates technical development progress, challenges, and outcomes to stakeholders and senior management. The role provides technical guidance and mentorship to team members and fosters a culture of continuous professional growth.
Responsibilities
• Provides direct and ongoing leadership for a team of individual contributors that design, deploy, maintain and monitor machine learning models, pipelines, and systems.
• Collaborates with business stakeholders to understand use cases, user experience requirements, and goals. Then establishes development plans commensurate with these requirements.
• Oversees end-to-end machine learning model lifecycle, from data collection and preprocessing to model selection and optimization, to deployment and ongoing maintenance.
• Drives the selection and application of appropriate machine learning algorithms, techniques, tools, and CI/CD pipelines.
• Manages headcount, deliverables, schedules, and costs for multiple ongoing products, ensuring that resources are appropriately allocated, and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.
• Communicates technical development status and escalates issues to direct managers, program managers, and internal and external development partners.
• Manages relationships with internal and external partners, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating.
• Regularly evaluates and considers new applications, use cases, and proofs of concept to keep the organization at the forefront of AI and ML technology.
• Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development.
• Ensures that proper knowledge and career development tools are in place to support ongoing team member and process development.
Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of job-related experience or 5-7 years of management experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
Preferred Experience
• Developing Generative AI solutions
• Experience deploying Deep Learning Neural Network Models
Knowledge & Skills
• Agile Methodology
• Algorithms
• Generative Pretrained Transformers
• Apache Spark
• Artificial Intelligence
• Automation
• Reinforcement Learning
• Computer Science
• Data Science
• Deep Learning
• Machine Learning
• Microsoft Azure
• Natural Language Processing
• Python (Programming Language)
• PyTorch (Machine Learning Library)
• Scikit-learn (Machine Learning Library)
• Software Engineering
• TensorFlow
Cross-Org Skills
• Customer Centricity
• Prioritization
• Resilience
• Team Management
• Strategic Thinking
Impact & Scope
• Impacts function and leads projects requiring understanding of multiple disciplines or areas of HP.
Complexity
• Uses managerial concepts and company objectives to resolve issues in creative and effective ways.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Software
Schedule -
Full time
Shift -
Shift 1, 0% premium (United States of America)
Travel -
25%
Relocation -
No
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement
Data Science Intern
Posted 7 days ago
Job Viewed
Job Description
Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad targeting using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms.
That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while enabling companies to stay independent and scale.
An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. We were recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. That same year, we also received Google's Cloud DevOps Dreamers Award, given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work!
Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo.
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to carry out our mission, to empower businesses of all sizes to grow through operational machine learning.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You'll Be Contributing to Moloco:
Data Science and Analytics (DSA) is the global team of Data Scientists and Analysts. As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution.
Some examples of past intern projects are:
- Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing.
- Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco's complex bidding system.
- Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs.
- Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling.
- Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.
- Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges
- Able and willing to work from our Redwood City, CA. office.
- Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September).
- Currently enrolled in a Bachelor's, Master's or PhD program in a technical or quantitative discipline.
- Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2027.
- Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations.
- Ability to work independently, owning projects end-to-end, solving problems without much guidance.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail.
- Moloco Company Blog
- Moloco Leadership
- Moloco Newsroom
Equal Opportunity:
Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.
Data Science Manager
Posted today
Job Viewed
Job Description
We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You'll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.
**Required Skills:**
Data Science Manager Responsibilities:
1. Labeling spend management: Inform and drive multi-billion spend management and optimizations
2. develop and execute a comprehensive data science strategy that aligns with the organization's overall goals and objectives
3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
**Minimum Qualifications:**
Minimum Qualifications:
8. 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
9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
11. Experience communicating both in low-level technical details as well as high-level strategies
12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
13. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
14. Expertise in AI Agentic solutions, LLM performance and evals
15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
16. Communication skills in VP-level leadership forums
**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
Data Science Director
Posted 1 day ago
Job Viewed
Job Description
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/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
Data Science Director
Posted 1 day ago
Job Viewed
Job Description
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/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
Vice President Data Science
Posted 1 day ago
Job Viewed
Job Description
Home to iconic brands recognized by audiences everywhere for entertainment, inspiration, and innovation, Disney has brought exceptional storytelling and experiences to life for more than 100 years in a way that only we can. Imagine being part of this story. Imagine where a career at Disney can take you! GLOBAL OPPORTUNITIES The Walt Disney Company entertains, informs and inspires people around the globe through the power of unparalleled storytelling to create experiences that are both universally and locally cherished. NORTH AMERICA From humble beginnings as a cartoon studio in the 1920s to a preeminent name in the entertainment industry today, we proudly continue our legacy of creating world-class stories and experiences for every member of the family. Our operations in North America span over 10 decades and encompass our three core business segments: Disney Entertainment, ESPN and Disney Experiences. We are the leading family entertainment company in Latin America and have been present in the region since the 1940s when Walt Disney himself first traveled to the area to create the company's sixth animated film Saludos Amigos. Today, the business is expansive with offices in Argentina, Brazil, Mexico and the U.S. (Miami) - all working together to enrich people's lives through storytelling and experiences. In Europe, Middle East and Africa, we have been creating exceptional entertainment experiences for over 90 years. Through our diverse portfolio of businesses, we focus on delivering our unique brand of world-class storytelling to millions of consumers across more than 130 countries in strategic and locally relevant ways, employing thousands throughout the region. For more than 70 years, we have been entertaining consumers in Asia Pacific. Today's consumer can discover new branded experiences in so many ways - from Disney to our movies, consumer products, stores, parks, games, books and so much more. Our talented team of employees operates across the Asia-Pacific region, in Australia, New Zealand, Greater China, Japan, Korea and Southeast Asia. Featuring top honors across industries to exciting announcements from around the world, check out the latest on how we're leading the way in media, entertainment and experiences. At Disney, our world-class portfolio of brands and businesses work in unison to deliver the creative excellence, innovative technologies, and unforgettable experiences that audiences of all ages have come to cherish for over 100 years. Explore where the next chapter of your career story could begin. Our people are at the heart of everything we do here at Disney. They fuel our business, power our storytelling, uphold our strong legacy, and foster good in our communities. We are committed to being a welcoming, respectful, and empowering home to talent from all around the world. At Disney, we want everyone to belong and thrive. Creating a welcoming and respectful environment for our employees and guests is core to our company culture and our business. Because our employees and cast members are at the heart of everything we do, Disney offers a competitive total rewards package that includes pay, health and savings benefits, time-off programs, educational opportunities and more. Through financial contributions, collaboration with nonprofit organizations, in-kind donations and employee volunteering, we bring positive, meaningful, and measurable impact to our communities around the world. COMMUNITY Through financial contributions, collaboration with nonprofit organizations, in-kind donations and employee volunteering, we bring positive, meaningful, and measurable impact to our communities around the world. Learn More Sign Up for Job Alerts Get the latest job opportunities as they become available. Notice on Recruitment Scams We have been made aware of recent internet scams involving individuals falsely stating that they are recruiting for positions within The Walt Disney Company asking for personal information and/or money as part of our interview process. Our recruiters will only contact you from an official company email address including: @disney.com, @espn.com, @lucasfilm.com, @ilm.com, @pixar.com or @abc.com. They will not request funds or payment in any form or personal information such as photos of government-issued identification. If you receive a suspicious email, we advise you to mark the email as junk or spam so that your email provider will block them. J-18808-Ljbffr
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Data Science Practitioner - Remote
Posted 2 days ago
Job Viewed
Job Description
Location: Remote - PST
Duration: 03+ Months
Job Description
- We are seeking an experienced Data Science Practitioner to join our team. In this role, you will design, develop, and deliver advanced AI and machine learning-based frameworks that drive data-informed business decisions. You will collaborate with cross-functional teams, manage and mentor team members, and ensure the effective implementation of AI-driven solutions that deliver measurable business value.
Key Responsibilities
- Design and implement innovative AI and machine learning models to enhance decision-making and business outcomes.
- Collaborate with cross-functional stakeholders to integrate AI solutions into existing business processes.
- Conduct in-depth data analyses to evaluate the performance and impact of deployed AI models.
- Measure and justify the value of AI and machine learning initiatives.
- Stay current with emerging Data Science and AI trends to continuously refine strategies and methods.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
- Contribute to strategic decision-making by providing data-driven insights across multiple teams.
Required Skills & Qualifications
- Advanced proficiency in SQL for data extraction, transformation, and analysis.
- Strong proficiency in Python , with hands-on experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Expertise in Data Science, AI Strategy, and Data Analysis & Interpretation .
- Proven experience in developing and deploying scalable AI/ML models in a business environment.
- Strong analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced, cross-functional environment.
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or GCP) for data and AI services.
- Knowledge of data visualization tools (Power BI, Tableau, or similar).
- Master's degree in Computer Science, Data Science, Statistics, or a related field .
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.
Data Science Practitioner - Remote
Posted 2 days ago
Job Viewed
Job Description
Job Title: Data Science Practitioner
Location: Remote - PST
Duration: 03+ Months
Job Description
- We are seeking an experienced Data Science Practitioner to join our team. In this role, you will design, develop, and deliver advanced AI and machine learning-based frameworks that drive data-informed business decisions. You will collaborate with cross-functional teams, manage and mentor team members, and ensure the effective implementation of AI-driven solutions that deliver measurable business value.
Key Responsibilities
-
Design and implement innovative AI and machine learning models to enhance decision-making and business outcomes.
-
Collaborate with cross-functional stakeholders to integrate AI solutions into existing business processes.
-
Conduct in-depth data analyses to evaluate the performance and impact of deployed AI models.
-
Measure and justify the value of AI and machine learning initiatives.
-
Stay current with emerging Data Science and AI trends to continuously refine strategies and methods.
-
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
-
Contribute to strategic decision-making by providing data-driven insights across multiple teams.
Required Skills & Qualifications
-
Advanced proficiency in SQL for data extraction, transformation, and analysis.
-
Strong proficiency in Python , with hands-on experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
-
Expertise in Data Science, AI Strategy, and Data Analysis & Interpretation .
-
Proven experience in developing and deploying scalable AI/ML models in a business environment.
-
Strong analytical, problem-solving, and communication skills.
-
Ability to work collaboratively in a fast-paced, cross-functional environment.
Preferred Qualifications
-
Experience with cloud platforms (AWS, Azure, or GCP) for data and AI services.
-
Knowledge of data visualization tools (Power BI, Tableau, or similar).
-
Master's degree in Computer Science, Data Science, Statistics, or a related field .
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
Head of Data Science
Posted 3 days ago
Job Viewed
Job Description
Head of Data Science
About the Company
Pioneering financial technology (FinTech) company
Industry
Financial Services
Type
Privately Held
About the Role
The Head of Data Science will be responsible for providing strategic leadership to effectively lead a multifunctional team in the delivery of robust data services to clients.
Travel Percent
Less than 10%
Functions
- Data Management/Analytics
Known Requirements
- Master's degree or Ph.D. in statistics, computer science, or mathematics required
- At least 5 years' experience in a data science leadership position required
- Excellent technical skills and solid experience in ETL pipeline design and development required
- Superior written, verbal, and interpersonal communication skills required