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Associate Data Science R Jobs in Minnesota (NOW HIRING)

Deloitte

Data Scientist

Minneapolis, MN · On-site

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

DeFiner Inc

... data science solutions. * Present and defend results to leadership audiences, both technical and ... Jupyter Notebook * (Optional) R script Experience & Qualifications * Passion in modern technology ...

Ecolab

Sr Data Scientist

Saint Paul, MN · On-site

$118K - $177K/yr

Drive experimentation and delivery of digital AI / data science product innovations aligned to the ... With annual sales of $13 billion and more than 45,000 associates, Ecolab delivers comprehensive ...

Ecolab

Sr Data Scientist

Saint Paul, MN

$118K - $177K/yr

Drive experimentation and delivery of digital AI / data science product innovations aligned to the ... With annual sales of $13 billion and more than 45,000 associates, Ecolab delivers comprehensive ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

Determining if R&R is needed, and if so, how the assessment is performed * Aiding with statistical ... Engineering or Science background with strong statistical mind set * Demonstrated ability and ...

RELX

Data Scientist

Minneapolis, MN

$77K - $128K/yr

Computer Science, Statistics, Mathematics, or related field * Experience in predictive modeling. * Proficiency in SAS, R, Python, and Big Data technologies. * Strong communication skills and ability ...

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Sr. Data Scientist - Measurement & Modeling Development

Sr. Data Scientist - Measurement & Modeling Development

Ovative Group

Minneapolis, MN • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
Ovative Group is an independent, full-funnel media, measurement, and creative firm. As the Senior Data Scientist, you will develop advanced marketing measurement and modeling capabilities, focusing on AI-assisted marketing data science and measurement solutions to maximize client value.
Responsibilities:
• Lead technical data science contributor in a high-performance multi-disciplinary team comprising data science, data engineering, and full stack members, responsible for your team’s productivity, operational excellence, and business impact.
• Drive technical advancement across measurement and modeling products — co-owning model architecture, methodology, and feature development across aspects of work from POC through production-ready deployment.
• Partner closely with Engineering and Product Management to scale your team’s innovative measurement and modeling solutions into product and service offerings.
• Contribute to product development cycles within an agile environment, including sprint planning, backlog refinement, and translating research outputs into scalable, maintainable product features.
• Provide mentoring, training, and other opportunities for effective technical development of data scientists.
• Assist with technical parts of business development as needed, including RFP response, sales, and conference presentations using AI assistance where applicable.
• Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support.
Qualifications:
Required:
• 3+ years of hands-on experience in data science or a related quantitative field, with a strong track record of delivering business value through technical innovation.
• Experience contributing to product-centric data science teams, including working within agile development cycles and translating research outputs into scalable, maintainable product features.
• Expertise in machine learning, advanced statistical modeling, and optimization algorithms, with hands-on experience in the areas listed below.
• Demonstrated expertise in object-oriented programming in Python and statistical programming in R, with industry best practices in writing scalable and maintainable code.
• Bayesian / Media Mix Modeling (MMM) experience.
• Experience with time-series modeling and/or forecasting methods.
• Expertise with linear algebra and advanced statistical modeling.
Preferred:
• Hands-on experience with optimization solvers (e.g., Gurobi, Pyomo) and the underlying algorithm classes that power them, including gradient-based, convex, and greedy method.
• Experience with attribution modeling.
• Applied experience integrating AI-assisted development practices into DS workflows, including code generation, methodology exploration, and documentation.
• Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization.
• Strong business acumen, especially within digital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.
• Excellent communicator: able to lead conversations with technical and non-technical stakeholders, including senior client partners and internal executives.
• Demonstrated leadership and mentorship skills; able to think independently, guide junior team members, and influence cross-functional teams.
Company:
Digital strategy consultants serving the retail and consumer packaged goods industry Founded in 2009, the company is headquartered in Minneapolis, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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