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Director Data Science Analytics Jobs in Minnesota

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... with analytics techniques to collect, explore, and extract insights from structured and ...

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Provides data insights for business problems that can be approached with analytics techniques to ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Provides data insights for business problems that can be approached with analytics techniques to ...

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Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Provides data insights for business problems that can be approached with analytics techniques to ...

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... direct marketing campaigns that deliver highly targeted, performance driven results. This position is responsible for supporting the data foundation behind campaign execution and advanced analytics ...

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Director Data Science Analytics information

Is 40 too late for data science?

For a Director of Data Science Analytics, starting a career at 40 is not too late, as many professionals transition into data roles later in life. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data management. Age is less important than demonstrated expertise and adaptability in the field.

What does a director of data analytics do?

A director of data analytics oversees the development and implementation of data analysis strategies to support business goals. They lead teams of data scientists and analysts, manage data projects, and ensure the accuracy and integrity of data insights, often using tools like SQL, Python, or Tableau. This role requires strong leadership, strategic thinking, and expertise in data management and analytics techniques.

What is the salary of head of data science and analytics?

The salary for a Director of Data Science and Analytics typically ranges from $120,000 to $180,000 annually, depending on experience, industry, and location. Senior roles may also include bonuses, stock options, and other benefits, with higher compensation for those with advanced skills in machine learning, statistical analysis, and leadership.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently, making it a useful concept for data analysis and feature selection. Understanding this rule helps data scientists prioritize efforts and optimize resources in analytics projects.
What are the most commonly searched types of Data Science Analytics jobs in Minnesota? The most popular types of Data Science Analytics jobs in Minnesota are:
What cities in Minnesota are hiring for Director Data Science Analytics jobs? Cities in Minnesota with the most Director Data Science Analytics job openings:
Data Science, AI & Analytics Lead with Security Clearance

Data Science, AI & Analytics Lead with Security Clearance

Forward Edge AI, Inc

Saint Paul, MN • On-site

Other

Posted 25 days ago


Job description

Data Science, AI & Analytics Lead Location: Fort Snelling, MN Work Arrangement: Hybrid (Must reside within 50 miles of Fort Snelling, MN)
Clearance: Active Secret Clearance Required
Employment Type: Full-Time Position Overview Forward Edge-AI is seeking a Data Science, AI & Analytics Lead to support the U.S. Army Reserve CIO/G-6. This position will lead enterprise data analytics, artificial intelligence, machine learning, visualization, and data governance initiatives that enable data-driven decision-making, operational readiness, and digital transformation across the Army Reserve enterprise. The ideal candidate will provide technical leadership for advanced analytics programs, develop executive-level dashboards and reporting solutions, guide AI/ML implementation efforts, and ensure compliance with enterprise data governance and quality standards. This role requires the ability to communicate complex analytical findings to senior military and civilian leadership and translate data into actionable business insights. Work Location Requirement This is a hybrid position. Candidates must reside within 50 miles of Fort Snelling, MN and be available to work on-site as required to support meetings, stakeholder engagements, workshops, and Government-directed activities. Candidates must be able to obtain and maintain installation access. Key Responsibilities * Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions * Design and deliver executive dashboards, reports, scorecards, and visualizations using Power BI and other approved analytics platforms * Analyze structured and unstructured data to support operational readiness, strategic planning, and executive decision-making * Oversee enterprise data integration, ETL processes, API development, and data engineering activities * Establish and maintain data governance frameworks, metadata standards, and data quality controls * Identify authoritative data sources and ensure compliance with Army and DoD data strategies * Evaluate emerging technologies and recommend innovative solutions that support enterprise modernization initiatives * Brief senior military and civilian leadership on analytical findings, recommendations, and program performance * Collaborate with stakeholders, data engineers, analysts, and technical teams to deliver mission-focused solutions * Support Agile, DevSecOps, and modern data platform practices * Provide technical leadership and mentorship to analytics and data teams Required Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field * Minimum of five (5) years of experience in data science, analytics, AI/ML, business intelligence, or related disciplines * Experience developing predictive models, machine learning solutions, and advanced analytics products * Proficiency with Python, SQL, Power BI, Azure Machine Learning, Databricks, or similar analytics platforms * Experience with data integration, ETL development, and enterprise data management * Strong understanding of data governance, data quality, metadata management, and data stewardship * Experience supporting federal agencies, Department of Defense organizations, or large enterprise environments * Active Secret Security Clearance * U.S. Citizenship required * Ability to communicate complex technical concepts to executive and non-technical audiences Preferred Qualifications * Experience supporting Army, DoD, or federal data and analytics programs * Experience with Army Vantage, Advana, Azure cloud environments, or similar enterprise platforms * Microsoft, Azure, AI/ML, Data Analytics, Agile, or Project Management certifications * Experience leading cross-functional technical teams * Experience briefing General Officer, Senior Executive Service, or executive-level stakeholders Why Forward Edge-AI At Forward Edge-AI, you will work alongside mission-focused professionals delivering cutting-edge AI, analytics, and data solutions that directly support national defense objectives. Join a team committed to innovation, collaboration, and advancing the future of data-driven decision-making across the Department of Defense.