Data Scientist
2 months ago
Location: Atlanta, GA or Chicago, IL
Duration/Term: Fulltime
Description:
Responsibilities:
- Work with Data Science Strategy Leader to define data science use cases with a bias towards problems requiring prescriptive analytics, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans
- Build Proof-of-Concept data science models: acquire, cleanse, and harmonize data, analyze, and identify appropriate optimization algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs
- Engage stakeholders, including product and business teams, through frequent check-ins, progress updates, visualizations, and interactive dashboards designed for non-technical audiences
- Interpret model outputs, draw actionable insights, present findings, and make recommendations to cross-functional and senior leadership teams
- Collaborate with Enterprise AI/ML product teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are required
- Effective, clear and compelling communication skills to engage stakeholders and maintain their engagement throughout the process
- Experience grounding muddy and fuzzy analytics problems with an open, inquisitive mind to seek information and challenge the status quo
- Comfort in making reasonable assumptions to push forward when faced with less than complete data, known and unknown unknowns, in a fail-fast fail-forward environment
- Very strong academic curiosity to research and learn new approaches, thrive in a culture of innovation, be opened to challenge, and be challenged
- Self-starter who can see the big picture, look ahead to identify opportunities, and prioritize your work to make the largest impact on the businesses and customer's vision and requirements
- 3+ years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred)
- A bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience.
- Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA - knowledge of optimization engines such as CPLEX or Gurobi is a plus)
- Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)
- Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.)
- Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)
Key Skills:
Data Science, AI/ML, SQL, R, Python, C++, Minitab, SAS, Matlab, Power BI, Tableau, Qlik
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