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 9/30/2026. 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 9/30/2026. Work You'll ...
Principal Data Scientist - Marketing Analytics
Arden Hills, MN · On-site
$125 - $150/hr
Master's degree in data science, Statistics, Economics, Computer Science, Engineering, or a related field. * 8+ years of experience in data science, clinical analytics, health care analytics or a ...
Principal Data Scientist - Marketing Analytics
Arden Hills, MN · On-site
$125 - $150/hr
Master's degree in data science, Statistics, Economics, Computer Science, Engineering, or a related field. * 8+ years of experience in data science, clinical analytics, health care analytics or a ...
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 ...
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 ...
Sr Principal Data Scientist - Remote
Minnetonka, MN · On-site +1
In this role, you will serve as a senior technical authority and strategic thought partner, applying deep expertise in data science, AI/ML, statistical modeling, experimentation, and decision science ...
Sr Principal Data Scientist - Remote
Minnetonka, MN · On-site +1
In this role, you will serve as a senior technical authority and strategic thought partner, applying deep expertise in data science, AI/ML, statistical modeling, experimentation, and decision science ...
Sr. Data Scientist
Minneapolis, MN · On-site
In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...
Quick apply
Sr. Data Scientist
Minneapolis, MN · On-site
In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...
Data Scientist
Minneapolis, MN · On-site
$92K - $138K/yr
Minimum of 1-4 years of experience in data science * Proficiency with data mining, predictive modeling, and statistical analysis * Full proficiency in SQL, Python, R, or similar coding languages and ...
Data Scientist
Minneapolis, MN · On-site
$92K - $138K/yr
Minimum of 1-4 years of experience in data science * Proficiency with data mining, predictive modeling, and statistical analysis * Full proficiency in SQL, Python, R, or similar coding languages and ...
Senior Data Scientist - Hybrid, Minnesota
Minneapolis, MN · On-site +1
$105K - $140K/yr
This role will report to the Sr. Manager, Data Science & Insights and will be instrumental in supporting the organization to achieve its five-year strategy. If you have ever desired to be part of a ...
Senior Data Scientist - Hybrid, Minnesota
Minneapolis, MN · On-site +1
$105K - $140K/yr
This role will report to the Sr. Manager, Data Science & Insights and will be instrumental in supporting the organization to achieve its five-year strategy. If you have ever desired to be part of a ...
This can include previous work in data science teams, business intelligence, financial reporting or analytics environments * 5 years of experience working as a key SME to executive or C-Suite ...
This can include previous work in data science teams, business intelligence, financial reporting or analytics environments * 5 years of experience working as a key SME to executive or C-Suite ...
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...
Principal Data Scientist
Eden Prairie, MN · On-site
This can include previous work in data science teams, business intelligence, financial reporting or analytics environments * 5+ years of experience working as a key SME to executive or C-Suite ...
Principal Data Scientist
Eden Prairie, MN · On-site
This can include previous work in data science teams, business intelligence, financial reporting or analytics environments * 5+ years of experience working as a key SME to executive or C-Suite ...
Supervisory Data Scientist
Bloomington, MN · On-site
$107K/yr
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...
Supervisory Data Scientist
Bloomington, MN · On-site
$107K/yr
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...
The Senior Director, Applied AI & Data Science is a strategic business and technology leader responsible for identifying, shaping, and delivering AI-driven transformations across the Medicare ...
The Senior Director, Applied AI & Data Science is a strategic business and technology leader responsible for identifying, shaping, and delivering AI-driven transformations across the Medicare ...
The Senior Director, Applied AI & Data Science is a strategic business and technology leader responsible for identifying, shaping, and delivering AI-driven transformations across the Medicare ...
The Senior Director, Applied AI & Data Science is a strategic business and technology leader responsible for identifying, shaping, and delivering AI-driven transformations across the Medicare ...
The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...
The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...
Supports projects under close supervision of senior data analysts or data scientists. Types of work include descriptive analytics, data query scripting, data analysis, data engineering ...
Supports projects under close supervision of senior data analysts or data scientists. Types of work include descriptive analytics, data query scripting, data analysis, data engineering ...
Supports projects under close supervision of senior data analysts or data scientists. Types of work include descriptive analytics, data query scripting, data analysis, data engineering ...
Supports projects under close supervision of senior data analysts or data scientists. Types of work include descriptive analytics, data query scripting, data analysis, data engineering ...
Data Scientist II
Minneapolis, MN · On-site
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required. Other: * Must be able to travel occasionally should a business need arise. For ...
Data Scientist II
Minneapolis, MN · On-site
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required. Other: * Must be able to travel occasionally should a business need arise. For ...
Sr. Data Scientist (Remote Eligible)
Minneapolis, MN · On-site +1
$110K - $184K/yr
Bachelor's degree in data science, Computer Science, Engineering, Math, Statistics or other related fields * 6+ years of relevant experience with at least 2 years of relevant experience in Data ...
Sr. Data Scientist (Remote Eligible)
Minneapolis, MN · On-site +1
$110K - $184K/yr
Bachelor's degree in data science, Computer Science, Engineering, Math, Statistics or other related fields * 6+ years of relevant experience with at least 2 years of relevant experience in Data ...
Senior Data Scientist
Chaska, MN · On-site
Master's degree in Data Science, Computer Science, Electrical Engineering, Statistics, Artificial Intelligence, Machine Learning, or a related technical field. * 5+ years of experience developing ...
Senior Data Scientist
Chaska, MN · On-site
Master's degree in Data Science, Computer Science, Electrical Engineering, Statistics, Artificial Intelligence, Machine Learning, or a related technical field. * 5+ years of experience developing ...
Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...
Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...
Weekend Data Science information
What is a weekend data science?
What skills and qualifications are needed to thrive as a weekend data scientist?
What challenges do data scientists working on weekends face, and how can they be managed?
What is the difference between Weekend Data Science vs Part-Time Data Analyst?
| Aspect | Weekend Data Science | Part-Time Data Analyst |
|---|---|---|
| Credentials | Typically requires a degree in data science, statistics, or related field | Often requires a degree or relevant experience in data analysis or related fields |
| Work Environment | Project-based, flexible hours, often remote or on-site during weekends | Flexible hours, may be remote or on-site, often with less technical complexity |
| Industry Usage | Used in tech, finance, healthcare, and startups for specialized projects | Common in retail, marketing, and small businesses for routine data tasks |
Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.
Do weekend data scientists work on weekends?
What are the most commonly searched types of Data Science jobs in Minnesota?
The most popular types of Data Science jobs in Minnesota are:
What are popular job titles related to Weekend Data Science jobs in Minnesota?
For Weekend Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Minnesota look for?
The top searched job categories for Weekend Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Weekend Data Science jobs?
Cities in Minnesota with the most Weekend Data Science job openings:

Full-time
Re-posted 19 days ago
Deloitte rating
8.2
Based on 93 frontline employees who took The Breakroom Quiz
48th of 154 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 9/30/2026.
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 9/30/2026.
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...
About Deloitte
Sourced by ZipRecruiter
Industry
Finance and insurance and business management consulting
Company size
10,000+ Employees
Headquarters location
Orlando, FL, US