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Digital Science Senior Manager
| Company | 3M |
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| Location | Woodbury, MN, USA |
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| Salary | $207348 – $253425 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- Bachelor’s degree in computer science, electrical engineering, data science, software engineering, machine learning, operations research, statistics, applied mathematics, or physics (completed and verified prior to start)
- Eight (8) years of experience in Algorithm Development or Software Engineering in Machine Learning, Statistics, or Numerical Methods in a private, public, government or military environment.
Responsibilities
- Leading multiple data science projects of large scope and impact that create novel algorithms, gather, transform, and integrate large volumes of data, performing analysis, interpreting results, using machine learning to create advanced data models and analyze complex datasets identifying trends and patterns, providing actionable insights and recommendations that drive R&D effectiveness and manufacturing process improvement
- Acting as internal advisor and expert, championing long-range designs for data science projects and innovations, and serving as a strategic advisor to senior management
- Building and maintaining a Data Science and AI road map for the division, ensuring its alignment with business needs and strategy, along with a hopper of Data Science and AI projects and priorities
- Working with stakeholders to understand their needs and designing AI solutions that support decision-making and efficiencies, and effectively communicating status of projects, insights and recommendations to senior leadership and those stakeholders on a regular cadence
- Developing a team of data scientists / data engineers, ensuring they continue to grow in their roles and have the toolsets needed to perform their jobs to the fullest, teaching classes, leading technical sessions and provide technical guidance, as well as managing the team’s backlog, ensuring it is groomed with requirements and prioritized appropriately based on stakeholders’ needs
Preferred Qualifications
- Master’s or Ph.D. degree in computer science, electrical engineering, data science, software engineering, machine learning, operations research, statistics, applied mathematics, physics, or other field related to or utilizing data science from an accredited institution
- Extensive industry experience in deep learning, machine learning, natural language processing, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
- Experience utilizing cloud data science tools to deploy solutions.
- Experience analyzing large, complex, multi-dimensional datasets with a variety of tools.
- Experience applying theoretical models in an applied environment.
- Experience with a broad set of data science approaches and techniques.
- Experience with BI tools and data frameworks.
- Experience in programming languages (one or more of R, Python, C, C++, Java, JavaScript or MATLAB) and Database Programming.
- Experience in SQL for data manipulation and querying.
- Experience with business intelligence dashboard tools such as Shiny, Dash, PowerBI, or Tableau.
- Strong fundamentals in problem solving, algorithm design, and complexity analysis.
- Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns.
- Strong communication, technical writing and presentation skills.
- Ability to communicate complex statistical and machine learning concepts in a clear and actionable way to both technical and non-technical audiences.
- Proven track record in leading, mentoring, and developing teams of data scientists.
