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 ...
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 ...
The Medical College of Wisconsin (MCW) is seeking a full-time biomedical data science and informatics faculty in the Data Science Institute. Candidates with expertise in artificial intelligence ...
The Medical College of Wisconsin (MCW) is seeking a full-time biomedical data science and informatics faculty in the Data Science Institute. Candidates with expertise in artificial intelligence ...
The Medical College of Wisconsin (MCW) is seeking a full-time biomedical data science and informatics faculty in the Data Science Institute. Candidates with expertise in artificial intelligence ...
The Medical College of Wisconsin (MCW) is seeking a full-time biomedical data science and informatics faculty in the Data Science Institute. Candidates with expertise in artificial intelligence ...
The Medical College of Wisconsin (MCW) is seeking a full-time biomedical data science and informatics faculty in the Data Science Institute. Candidates with expertise in artificial intelligence ...
The Medical College of Wisconsin (MCW) is seeking a full-time biomedical data science and informatics faculty in the Data Science Institute. Candidates with expertise in artificial intelligence ...
The Medical College of Wisconsin (MCW) is seeking a full-time biomedical data science and informatics faculty in the Data Science Institute. Candidates with expertise in artificial intelligence ...
The Medical College of Wisconsin (MCW) is seeking a full-time biomedical data science and informatics faculty in the Data Science Institute. Candidates with expertise in artificial intelligence ...
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as ...
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as ...
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as ...
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as ...
Sr Data Scientist
Milwaukee, WI · On-site
Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.
Sr Data Scientist
Milwaukee, WI · On-site
Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.
Senior Data Scientist (Level I)
$97K - $146K/yr
Independently apply data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, and ...
Senior Data Scientist (Level I)
$97K - $146K/yr
Independently apply data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, and ...
Senior Data Scientist (Level I)
$97K - $146K/yr
Independently apply data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, and ...
Senior Data Scientist (Level I)
$97K - $146K/yr
Independently apply data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, and ...
Data Modeler
Oak Creek, WI · On-site
$52.25 - $67.75/hr
You will report directly to the Manager, Business Intelligence & Data Science. How You Will Do It: * Data Model Design & Development: * Create and maintain conceptual, logical, and physical data ...
Data Modeler
Oak Creek, WI · On-site
$52.25 - $67.75/hr
You will report directly to the Manager, Business Intelligence & Data Science. How You Will Do It: * Data Model Design & Development: * Create and maintain conceptual, logical, and physical data ...
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Senior Data Analyst
Milwaukee, WI · Hybrid
$84K - $106K/yr
Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The ...
Quick apply
Senior Data Analyst
Milwaukee, WI · Hybrid
$84K - $106K/yr
Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The ...
Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI. This breadth matters because today's employers value candidates who can handle more than one ...
New
Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI. This breadth matters because today's employers value candidates who can handle more than one ...
New
CTIO - AI Engineer - Experienced Associate
Milwaukee, WI · On-site
$50K - $140K/yr
Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics ...
CTIO - AI Engineer - Experienced Associate
Milwaukee, WI · On-site
$50K - $140K/yr
Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics ...
Director, AI and Data
Milwaukee, WI · On-site
$193K - $250K/yr
Bachelor's degree in Data Science, Computer Science, or related field required. * Master's degree or MBA preferred. * 10+ years in data and analytics leadership roles, including 5+ years leading ...
Director, AI and Data
Milwaukee, WI · On-site
$193K - $250K/yr
Bachelor's degree in Data Science, Computer Science, or related field required. * Master's degree or MBA preferred. * 10+ years in data and analytics leadership roles, including 5+ years leading ...
Partner with data science and cross-functional teams to address customer questions, build a knowledge library of best practices and use cases, and advocate for product and engineering improvements ...
Partner with data science and cross-functional teams to address customer questions, build a knowledge library of best practices and use cases, and advocate for product and engineering improvements ...
S. based, data science consulting firm specializing in building mission-specific, artificial intelligence (AI) technologies to support and transform our partners and clients. Our scientists and ...
S. based, data science consulting firm specializing in building mission-specific, artificial intelligence (AI) technologies to support and transform our partners and clients. Our scientists and ...
Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment * Drive consolidation of insights across ...
Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment * Drive consolidation of insights across ...
Summary The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative ...
Summary The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative ...
Data Science information
See Racine, WI salary details
$35.2K - $48.7K
2% of jobs
$48.7K - $62.3K
3% of jobs
$62.3K - $75.8K
6% of jobs
$75.8K - $89.4K
9% of jobs
$93.7K is the 25th percentile. Wages below this are outliers.
$89.4K - $102.9K
15% of jobs
The median wage is $112K / yr.
$102.9K - $116.5K
22% of jobs
$123.9K is the 75th percentile. Wages above this are outliers.
$116.5K - $130K
32% of jobs
$130K - $143.6K
3% of jobs
$143.6K - $157.1K
4% of jobs
$157.1K - $170.7K
1% of jobs
$170.7K - $184.3K
2% of jobs
$35.2K
$115.1K
$184.3K
How much do data science jobs pay per year?
Is data science a good career?
What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?
Is 40 too late for data science?
What are some common challenges faced by data scientists when working with real-world datasets?
What is data science?
What jobs can a Data Scientist do?
What is the difference between Data Science vs Data Analyst?
| Aspect | Data Science | Data Analyst |
|---|---|---|
| Required skills | Statistics, programming (Python, R), machine learning | Data visualization, SQL, basic statistics |
| Work environment | Developing models, predictive analytics, research | Reporting, data cleaning, descriptive analysis |
| Tools used | Python, R, Jupyter, TensorFlow | Excel, SQL, Tableau, Power BI |
| Industry usage | Tech, finance, healthcare, e-commerce | Retail, marketing, finance, healthcare |
Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.
What work do you do as a Data Scientist?
What Does a Data Scientist Do?

Other
Posted 12 days ago
Deloitte rating
8.0
Based on 89 frontline employees who took The Breakroom Quiz
71st of 146 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...