
Data Scientist
Buyers Edge Platform
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Complete exploratory data analysis and hypothesis testing to uncover patterns, trends, and opportunities.
- Translate ambiguous business problems into clearly defined modeling challenges with measurable outcomes.
- Design, build, and validate statistical, predictive, and machine learning models to drive business insights and automation.
- Collaborate with relevant stakeholders to identify high-impact opportunities for modeling.
- Collaborate with engineering teams to productionize models and integrate them into business workflows and dashboards.
- Promote rigorous methodology, model interpretability, and transparent communication of findings.
- Stay current with industry trends and emerging techniques in machine learning, forecasting, and AI.
Requirements
- Education in Statistics, Computer Science, Mathematics, or a related field.
- 2-3 years of experience in data science, analytics, or applied statistics.
- Experience with analytics and modeling of large-scale datasets.
- (Preferred) Experience with MLOps, model evaluation and monitoring, or deploying models in production environments is a plus.
- (Preferred) Experience in foodservice, distribution, or supply chain domains is a plus.
- (Preferred) Familiarity with Tableau is a plus.
- Understanding of statistical modeling, time series forecasting, and/or supervised learning techniques.
- Ability to identify and evaluate hypothesis in data analysis and modeling.
- Strong proficiency in Python (e.g. pandas, scikit-learn, statsmodels) and SQL for analysis, model building, and data visualization.
- Ability to communicate insights to technical and non-technical stakeholders.
Benefits
- Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more—plus a 401(k) with company match.
- Grow with us. Enjoy strong training, development, and competitive pay.
- Work-life balance. Our flexible PTO policy lets you take time when you need it—no accrual required.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysishypothesis testingstatistical modelingpredictive modelingmachine learningMLOpstime series forecastingsupervised learningPythonSQL
Soft Skills
communicationcollaborationproblem-solvingcritical thinkingtransparency