VDart · 3 hours ago
Sr. Data Scientist with Causal
United States
Full-time
Remote
Mid, Senior Level
3+ years exp
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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
Qualification
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Required
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)
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)
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
Preferred
An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience.
Company
VDart
VDart specializes in providing IT staffing solutions.
1001-5000 employees
H1B Sponsorship
VDart has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (9)
2022 (12)
2021 (14)
2020 (15)
Funding
Current Stage
Late StageLeadership Team
Sidd Ahmed
President & CEO
Devna Malik
Strategic Partner
Recent News
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