Senior Data Scientist
About The Position
The Senior Data Scientist supports data sourcing and quality checks, applies data strategy to routine business problems, and helps deploy, evaluate, scale, and sustain analytical models. The role develops and tests code, assesses and validates models, and creates visualizations to communicate data and model outcomes to business and technical audiences. The position translates business needs into data or mathematical solutions, identifies suitable methods and tools, and develops business cases and recommendations. It performs exploratory data analysis, selects and develops analytical models, defines features, designs and conducts experiments, and uses trend and cluster analysis to generate business insights. The role also guides and mentors junior associates.
Requirements
- Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 1 year of experience in an analytics-related field; or a bachelor’s degree or equivalent in one of these fields, plus 3 years of experience in an analytics-related field.
- Experience with SQL and big-data tools for mining and transforming high-volume logistics datasets.
- Experience with Python for production-grade data science.
- Experience with time-series forecasting.
- Experience with MLOps and model productionization, including feature pipelines, model monitoring, Airflow-style orchestration, and reliability.
- Experience with experimentation and causal inference, including A/B tests and uplift modeling.
- Experience applying supervised or unsupervised machine learning to improve efficiency, cost, and experience.
- Experience with large-scale algorithm development and testing, including design, A/B evaluation, and KPI alignment.
- Experience with cross-functional communication and stakeholder management involving product, engineering, and operations.
- Experience with Tableau dashboarding and BI visualization, including executive dashboards, operational reporting, and self-service analytics.
- Experience with business intelligence, including data warehousing, ETL, KPI frameworks, and integration with tools such as Tableau.
- Experience with executive presentation and storytelling.
- Employer will accept any amount of experience with the required skills.
Responsibilities
- Identify fit-for-purpose data sources and perform initial quality checks on extracted data.
- Apply the defined data strategy to routine business problems involving a single function.
- Support deployment, evaluation, scalability, and sustainability of analytical models.
- Write and test code for required solutions and application features using recommended languages and approaches.
- Identify model evaluation metrics and apply best practices for testing and tuning models.
- Generate data visualizations and present model outcomes to business and stakeholder audiences; work with UX designers and UI engineers as needed.
- Provide recommendations to business stakeholders, develop business cases, translate requirements into projects and tasks, and connect business needs with solutions.
- Translate business problems into data-related or mathematical solutions and identify suitable methods and tools.
- Select and develop analytical models; conduct exploratory data analysis, define and refine features, and design and conduct experiments.
- Perform trend and cluster analysis to address business problems and provide recommendations and insights.
- Guide and mentor junior associates in data storytelling, modeling, and analytics techniques.
Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase plan, and company-paid life insurance.
- Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
- Short-term and long-term disability.
- Education assistance, including company-paid college degrees.
- Company discounts, military service pay, and adoption expense reimbursement.
- Annual or quarterly performance incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
