Data Scientist

3 days ago


Chicago, Illinois, United States VDart Inc Full time

Job Title: Data Scientist

Location Remote

Duration /Term: Fulltime

Description:

Responsibilities:

  • Collaborate with senior leadership to define business intelligence use cases with a focus on predictive analytics, proposing potential modeling approaches, assessing feasibility, estimating effort, and data requirements, and drafting project plans.
  • Develop and implement 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 meet 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 predictive models where enterprise-certified products are required.

Critical Soft Skills:

  • Effective, clear, and compelling communication skills to engage stakeholders and maintain their engagement throughout the process.
  • Experience grounding ambiguous and fuzzy business 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 fast-paced environment.
  • Strong academic curiosity to research and learn new approaches, thrive in a culture of innovation, be open to challenge and be challenged.
  • Self-starter who can see the big picture, look ahead to identify opportunities, and prioritize work to make the largest impact on the business and customer vision and requirements.

Critical Technical Skills:

  • 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 eCommerce 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). 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 nonlinear 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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