Senior Data Scientist

Description

The role is a senior data scientist position based at 811 Excellence Dr, Bentonville, AR 72716.

The team works with product, engineering and operations on logistics data and models.

Responsibilities

• Decide which data source best fits each purpose, weighing the priority order of requirements and service level agreements.
• Run first-pass quality checks on extracted data.
• Apply the defined data strategy to routine problems that sit within a single function.
• Help make analytical models deployable to production and assist in evaluating them.
• Help keep analytical models scalable and sustainable over time.
• Write code for the required solution and features in the recommended language, guided by business, technical and data requirements, and test it with the recommended approach.
• Choose model evaluation metrics and apply best-practice testing and tuning to judge accuracy, fit, validity and robustness, including for multi-stage models and ensembles.
• Produce charts of data and model results, and design data displays for several datasets based on customer needs.
• Work with UX designers and UI engineers when needed to build front-end applications.
• Present to team and business audiences using suitable visualization frameworks, adjusting your style to each stakeholder under guidance and backing points with reasoned arguments.
• Coach junior associates on story types, structures and techniques suited to each context.
• Recommend solutions to complex business problems for stakeholders.
• Build business cases for projects with a projected return on investment or cost savings.
• Turn business requirements into projects, tasks and domain artifacts that align with overall strategy.
• Act as the link between business needs and practical solutions and results.
• Identify and recommend business insights in your area of work.
• Co-own business problems in your discipline and restate them as data or mathematical problems.
• Select suitable methods and tools, and show with use cases and examples how they solve the problem.
• Choose the modeling technique best suited to structured, complex data and build custom analytical models.
• Carry out exploratory analysis, including basic statistics, hypothesis testing and statistical inference.
• Define and refine features based on model results, adding or revising them to improve analysis and outcomes.
• Define experiment dimensions, finalize the design, test hypotheses and run experiments.
• Perform trend and cluster analysis to answer practical business questions and give recommendations and key insights.
• Mentor junior associates on core modeling and analytics techniques for complex problems.

Requirements

• A Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or a related field, plus 1 year of analytics experience.
• Or a Bachelor's degree or equivalent in the same fields, plus 3 years of analytics experience.
• The company will accept any amount of experience with the skills listed below.
• SQL and big-data tools for mining and transforming high-volume logistics datasets.
• Python for production-grade data science.
• Time-series forecasting.
• MLOps and productionization, including feature pipelines, model monitoring, Airflow-style orchestration and reliability.
• Experimentation and causal inference, including A/B tests and uplift modeling, to turn business needs into measurable data science solutions.
• Applying supervised or unsupervised machine learning to improve efficiency, cost and experience.
• Large-scale algorithm design and testing, including A/B evaluation and KPI alignment.
• Cross-functional communication and stakeholder management with product, engineering and operations.
• Tableau dashboarding and BI visualization, including executive dashboards, operational reporting and self-service analytics.
• Business intelligence work covering data warehousing, ETL, KPI frameworks and integration with tools such as Tableau.
• Executive presentation and storytelling.

Conditions

Base pay ranges from $110,302.00 to $180,000.00 per year.

The company is an equal opportunity employer and runs a drug-free workplace with zero tolerance for illegal drugs and alcohol on the job.

Benefits

• Performance-based incentive awards, paid annually or quarterly, alongside competitive pay.
• Medical, vision and dental coverage.
• 401(k), stock purchase and company-paid life insurance.
• PTO including sick leave, parental leave, family care leave, bereavement, jury duty and voting time.
• Short-term and long-term disability cover.
• Education assistance with 100% company-paid college degrees.
• Company discounts, military service pay and adoption expense reimbursement.
• Some benefits depend on job classification and length of employment, and may be subject to plan terms and change. Details are on the company's internal benefits site.