Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering ...
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering ...
Sr. Data Scientist
Warsaw, IN · On-site
Prepare presentations and drive cross-functional product quality and safety discussions based on ... science strategies, data management, AI, etc. - to projects with timelines ranging from hours to ...
Sr. Data Scientist
Warsaw, IN · On-site
Prepare presentations and drive cross-functional product quality and safety discussions based on ... science strategies, data management, AI, etc. - to projects with timelines ranging from hours to ...
Advisor, Sr. Product Manager - Manufacturing Intelligence
Indianapolis, IN · Hybrid
$120.90K - $159.60K/yr
Product Manager As a Product Manager for Manufacturing Intelligence, you will play a pivotal role ... Bachelor's degree in a relevant field (e.g., computer science, data science, business). Experience ...
Advisor, Sr. Product Manager - Manufacturing Intelligence
Indianapolis, IN · Hybrid
$120.90K - $159.60K/yr
Product Manager As a Product Manager for Manufacturing Intelligence, you will play a pivotal role ... Bachelor's degree in a relevant field (e.g., computer science, data science, business). Experience ...
Advisor, Sr. Product Manager - Manufacturing Intelligence
Indianapolis, IN · On-site
$120.90K - $159.60K/yr
Product Manager As a Product Manager for Manufacturing Intelligence, you will play a pivotal role ... Bachelor's degree in a relevant field (e.g., computer science, data science, business). Experience ...
Advisor, Sr. Product Manager - Manufacturing Intelligence
Indianapolis, IN · On-site
$120.90K - $159.60K/yr
Product Manager As a Product Manager for Manufacturing Intelligence, you will play a pivotal role ... Bachelor's degree in a relevant field (e.g., computer science, data science, business). Experience ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Our unique collaborative approach fosters a dynamic synergy between data science and product ... Experience with unstructured document processing (legal document analysis, contract management ...
Our unique collaborative approach fosters a dynamic synergy between data science and product ... Experience with unstructured document processing (legal document analysis, contract management ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...
Steward data product life cycle and partner with other scientists to continuously improve ... Experience in big data technologies (e.g., Hadoop, Spark) and database management systems (e.g ...
Steward data product life cycle and partner with other scientists to continuously improve ... Experience in big data technologies (e.g., Hadoop, Spark) and database management systems (e.g ...
Data Scientist III
Indianapolis, IN · On-site
Collaborate with engineering and product teams to integrate data science solutions into product workflows. * Mentor and support other data scientists, promoting knowledge sharing and best practices.
Data Scientist III
Indianapolis, IN · On-site
Collaborate with engineering and product teams to integrate data science solutions into product workflows. * Mentor and support other data scientists, promoting knowledge sharing and best practices.
Education: Bachelor's degree in computer science, Data Science, Business, or related field ... manage product strategy, backlog prioritization, and agile delivery Experience influencing ...
Education: Bachelor's degree in computer science, Data Science, Business, or related field ... manage product strategy, backlog prioritization, and agile delivery Experience influencing ...
Bachelor's degree in computer science, Data Science, Business, or related field • Experience ... manage product strategy, backlog prioritization, and agile delivery • Experience influencing ...
Bachelor's degree in computer science, Data Science, Business, or related field • Experience ... manage product strategy, backlog prioritization, and agile delivery • Experience influencing ...
Manage and mentor a diverse team of data scientists and people managers across geographies. * Foster career growth through open dialogue, performance management, and strategic development planning.
Manage and mentor a diverse team of data scientists and people managers across geographies. * Foster career growth through open dialogue, performance management, and strategic development planning.
Product Manager
Delphi, IN · On-site
Required : • Bachelor's degree in Business, Marketing, Food Science, or related field required ... data (IRI, Nielsen, Circana, etc.) • Demonstrated P&L management experience • Proven ability to ...
Product Manager
Delphi, IN · On-site
Required : • Bachelor's degree in Business, Marketing, Food Science, or related field required ... data (IRI, Nielsen, Circana, etc.) • Demonstrated P&L management experience • Proven ability to ...
Manage and mentor a diverse team of data scientists and people managers across geographies. * Foster career growth through open dialogue, performance management, and strategic development planning.
Manage and mentor a diverse team of data scientists and people managers across geographies. * Foster career growth through open dialogue, performance management, and strategic development planning.
In this role your focus will span moving data across capabilities throughout the GTM customer life-cycle-prioritizing modernization, integration alignment, and scale. Product Managers in this team ...
In this role your focus will span moving data across capabilities throughout the GTM customer life-cycle-prioritizing modernization, integration alignment, and scale. Product Managers in this team ...
Data Science Product Manager information
See Indiana salary details
$49K - $61.6K
0% of jobs
$61.6K - $74.2K
1% of jobs
$74.2K - $86.8K
3% of jobs
$86.8K - $99.4K
4% of jobs
$99.4K - $111.9K
5% of jobs
$111.9K - $124.5K
5% of jobs
$129.9K is the 25th percentile. Wages below this are outliers.
$124.5K - $137.1K
14% of jobs
$137.1K - $149.7K
5% of jobs
The median wage is $157.8K / yr.
$149.7K - $162.3K
18% of jobs
$171.9K is the 75th percentile. Wages above this are outliers.
$162.3K - $174.9K
24% of jobs
$174.9K - $187.5K
19% of jobs
$49K
$151.7K
$187.5K
How much do data science product manager jobs pay per year?
What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?
How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?
What is a Data Science Product Manager?
What is the difference between Data Science Product Manager vs Data Analyst?
| Aspect | Data Science Product Manager | Data Analyst |
|---|---|---|
| Required credentials | Background in data science, product management, or related fields; often requires experience with machine learning and data-driven product development | Typically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics |
| Work environment | Collaborates with product teams, data scientists, engineers; focuses on developing data products and strategies | Works with business units to interpret data, generate reports, and support decision-making |
| Employer and industry usage | Used in tech companies, e-commerce, and organizations developing data-driven products | Common across finance, marketing, healthcare, and business intelligence roles |
The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
60th of 138 rated financial services
Job description
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.
Recruiting for this role ends on 8/31/2026.
Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:
- Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
- Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
- Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
- Validate AI models and algorithm via code reviews, unit, and integration tests
- Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
- Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
- Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
- 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
- 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
- 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
- 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
- Live within commuting distance to one of Deloitte's consulting offices
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- 2+ years of experience working in a client-facing, consulting environment
- 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
- 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
- 1+ year of experience with AWS Sagemaker or AWS ML Studio
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 $128,000 to $252,500.
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.
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.
Recruiting for this role ends on 8/31/2026.
Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:
- Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
- Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
- Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
- Validate AI models and algorithm via code reviews, unit, and integration tests
- Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
- Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
- Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
- 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
- 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
- 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
- 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
- Live within commuting distance to one of Deloitte's consulting offices
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- 2+ years of experience working in a client-facing, consulting environment
- 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
- 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
- 1+ year of experience with AWS Sagemaker or AWS ML Studio
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 $128,000 to $252,500.
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, individu...