Data Scientist III (Ops & Fleet)

Description

• Leads the team in defining and developing production-ready solutions.
• Researches and resolves data inquiries and requests.
• Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences.
• Builds statistical models to enhance understanding of trends and predicts future performance.
• Educates and mentors team members on best practices for data analytics including data science techniques, statistical programming languages and packages, and data preparation.
• Documents requirements for data science and reporting projects.
• Designs experiments and interprets the results to draw detailed and actionable conclusions.
• Collaborates with other teams to gather data and build relationships.
• Provides insights and serves as a subject matter expert for department data.
• Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas.
• Finds new opportunities and novel applications for our core internal data.
• Designs, validates, and evaluates solutions using R, Python, SQL and other programming tools.
• Transforms data into actionable insights and recommendations.
• Participates in end-to-end data science project lifecycle – data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking.
• Collaborates with business leaders to define a roadmap of data science deliverables.
• Supports the development of standard data analyses, reports, and dashboards.

Requirements

• Bachelor’s Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).
• Knowledge of logistics, supply chain, and fleet management a plus. Applied experience with experimental design, time series modeling, and optimization preferred.
• 5 years of demonstrated experience working with large databases to perform complex analysis.
• Proficiency with relational databases and the ability to write SQL queries.
• Master’s degree preferred.
• Demonstrated expertise building and deploying machine learning/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment.
• Proficiency with programming in Python or R in data science and/or statistical analytics settings.
• Proficiency with cloud computer environments (e.g. AWS).
• Prior lead/mentor experience is required, experience as a Data Scientist preferred.
• Proficiency with Excel and PowerBI.
• Demonstrated expertise with common commercial analytics topics (e.g., pricing optimization, customer segmentation, customer churn/lifetime value, etc.) or operational analytics topics (e.g., logistics analytics, route optimization, maintenance optimization, etc.).
• 5 years of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments.
• 5 years of demonstrated experience with statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees.

Benefits

• Employee discount programs.
• Health care and dependent care spending accounts.
• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Life insurance and accidental death & dismemberment insurance.
• Retirement plan with a generous company match.
• Great Place to Work
• Short- and long-term disability.
• Employee and Family Assistance Program (EAP).
• Employee Stock Purchase Plan (ESPP).

Training + Development

Interview process

Visa Sponsorship

Security clearance