Dahl Consulting
Job Description
Title
: Data Scientist Location
: Brooklyn Park, MN | Hybrid onsite Tuesday & Wednesday Job Type
: Contract Compensation
: $60.00 - $90.00 per hour (W2) Industry
: Retail
About the Role We are seeking a highly skilled
Data Scientist
to join a leading organization in the retail and consumer goods industry. This role focuses on leveraging advanced analytics and
Generative AI (GenAI)
technologies to drive innovation and deliver impactful business solutions. You will work on cutting‑edge projects involving
Large Language Models (LLMs)
and context engineering to enhance customer experiences and optimize operations.
Job Description As a Data Scientist, you will:
Develop innovative solutions through exploratory data analysis of complex, high‑dimensional datasets.
Apply expertise in
statistics, machine learning, programming, data modeling, simulation, and advanced mathematics
to identify patterns, uncover opportunities, and answer critical business questions.
Design, develop, and evaluate predictive models and advanced algorithms to maximize data value.
Collaborate with cross‑functional teams to deploy solutions that have large‑scale business impact.
Maintain and improve large codebases using industry best practices, including CI/CD pipelines.
Qualifications Required
Bachelors, Masters, or Ph.D. in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields, with strong foundations in mathematical/statistical concepts and optimization.
4+ years of experience in data science or advanced analytics, leveraging Generative AI (GenAI) and Large Language Models (LLMs) for innovative solutions.
Demonstrate ability to clean, transform, and analyze large datasets for actionable insights, using context engineering and advanced data visualization techniques.
Possess strong programming skills and experience in collaborative development environments, ensuring scalable and maintainable code.
Exhibit expertise in GenAI, LLMs, prompt engineering strategies, and evaluation techniques to design and optimize AI‑driven solutions.
Apply knowledge of machine learning methods (supervised and unsupervised) and their applications to solve complex business problems.
Deliver solutions with measurable business impact, integrating optimization algorithms and simulation techniques where applicable.
Be self‑driven and results‑oriented, capable of meeting tight deadlines in fast‑paced environments.
Preferred
Experience in retail or consumer goods analytics, applying context engineering for domain‑specific insights.
Familiarity with cloud platforms and scalable data solutions to support enterprise‑level deployments.
Advanced knowledge of simulation techniques and optimization algorithms for predictive modeling and decision‑making.
Benefits Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.
How to Apply Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile‑friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps! For questions or more information about this role, please call our office at (651) 772‑9225.
Equal Opportunity Statement As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
Company Description Our promise is simple. DAHL has proven year after year that we are flexible, consistent and easy to work with, which is why our clients and consultants have stayed with us, and we’ve continued to grow throughout the years. Our clients know they can depend on our efforts, as we hold their priorities in high regard. We genuinely care about each and every relationship and promise to work with the utmost of respect, integrity and high energy, as we continually strive to build long‑term relationships.
#J-18808-Ljbffr
: Data Scientist Location
: Brooklyn Park, MN | Hybrid onsite Tuesday & Wednesday Job Type
: Contract Compensation
: $60.00 - $90.00 per hour (W2) Industry
: Retail
About the Role We are seeking a highly skilled
Data Scientist
to join a leading organization in the retail and consumer goods industry. This role focuses on leveraging advanced analytics and
Generative AI (GenAI)
technologies to drive innovation and deliver impactful business solutions. You will work on cutting‑edge projects involving
Large Language Models (LLMs)
and context engineering to enhance customer experiences and optimize operations.
Job Description As a Data Scientist, you will:
Develop innovative solutions through exploratory data analysis of complex, high‑dimensional datasets.
Apply expertise in
statistics, machine learning, programming, data modeling, simulation, and advanced mathematics
to identify patterns, uncover opportunities, and answer critical business questions.
Design, develop, and evaluate predictive models and advanced algorithms to maximize data value.
Collaborate with cross‑functional teams to deploy solutions that have large‑scale business impact.
Maintain and improve large codebases using industry best practices, including CI/CD pipelines.
Qualifications Required
Bachelors, Masters, or Ph.D. in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields, with strong foundations in mathematical/statistical concepts and optimization.
4+ years of experience in data science or advanced analytics, leveraging Generative AI (GenAI) and Large Language Models (LLMs) for innovative solutions.
Demonstrate ability to clean, transform, and analyze large datasets for actionable insights, using context engineering and advanced data visualization techniques.
Possess strong programming skills and experience in collaborative development environments, ensuring scalable and maintainable code.
Exhibit expertise in GenAI, LLMs, prompt engineering strategies, and evaluation techniques to design and optimize AI‑driven solutions.
Apply knowledge of machine learning methods (supervised and unsupervised) and their applications to solve complex business problems.
Deliver solutions with measurable business impact, integrating optimization algorithms and simulation techniques where applicable.
Be self‑driven and results‑oriented, capable of meeting tight deadlines in fast‑paced environments.
Preferred
Experience in retail or consumer goods analytics, applying context engineering for domain‑specific insights.
Familiarity with cloud platforms and scalable data solutions to support enterprise‑level deployments.
Advanced knowledge of simulation techniques and optimization algorithms for predictive modeling and decision‑making.
Benefits Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.
How to Apply Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile‑friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps! For questions or more information about this role, please call our office at (651) 772‑9225.
Equal Opportunity Statement As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
Company Description Our promise is simple. DAHL has proven year after year that we are flexible, consistent and easy to work with, which is why our clients and consultants have stayed with us, and we’ve continued to grow throughout the years. Our clients know they can depend on our efforts, as we hold their priorities in high regard. We genuinely care about each and every relationship and promise to work with the utmost of respect, integrity and high energy, as we continually strive to build long‑term relationships.
#J-18808-Ljbffr