Responsibilities
Business Understanding and Impact
- Leads data-science projects or teams to align with business needs and deliver value.
Data Preparation and Understanding
- Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.
Modeling and Statistical Analysis
- Develops and applies ML frameworks and best practices for scalable and ethical solutions.
Evaluation
- Oversees review of data analysis and modeling techniques. Ensures selected modeling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).
Industry and Research Knowledge/Opportunity Identification
- Provides feedback, drives improvement, and shares knowledge as a data science expert.
Coding and Debugging
- Writes and debugs code for complex projects and leads solution development.
Business Management
- Leads ML and data-science partnerships and IP improvement.
Customer/Partner Orientation
- Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Preferred Qualifications;
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- Experience working as part of geographically dispersed, diverse, and virtual teams
- Enjoy travel and are comfortable with travel up to 25%
- Demonstrated ability to work with customers and collaborate across company boundaries.
- 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.