Mars

Senior Data Scientist

Mars

full-time

Posted on:

Location Type: Hybrid

Location: McLean • Virginia • United States

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

NumpyPandasPySparkPython

About the role

  • Turn Product briefs to Data Science briefs – evaluating and managing resources, timelines, budgets and ongoing costs in the process.
  • Delivery of Analytics Products to predefined timeline and ability to manage ongoing products to predefined costs
  • Management of multiple projects
  • Management of Data Science quality of products over the product lifecycle - developing and deploying associated monitoring and enhancements
  • Managing business through analytic change with from historic models to new deployments
  • Ability to engage and lead a strong data science team – providing leadership and support, technical and career development for data scientists and broader DT associates
  • Ability to innovate Data Science in Mars, bringing outside in perspective to drive best practice.
  • A DS thought leader, developing the right mix of internal and external tooling to drive DS transformation
  • Ability to lead hybrid internal and external data teams for common goals
  • Ability to flex across technical and business functions to develop ideas and solutions to business problems
  • Able to innovate quickly and cheaply as well as lead innovation to scalable solutions (from MVP to stable product)

Requirements

  • Master’s degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline; nice to have – PhD with computing, scientific, statistical, or mathematical component
  • 10+ years varied technical experience in delivering statistical analytics, data science and insight on large-scale consumer data sets across multiple sectors, including packaged goods and retail
  • Demonstrable experience using data science and advanced analytics to generate business value and change
  • Extensive usage of Python (numpy, pandas, etc) is required; Familiarity with PySpark is also desirable
  • Strong communication skills to interact effectively with all levels of technical internal business stakeholders and partners, as well as engagement and product leads, to take them on the Insight journey
  • Superior planning, project management and organizational orchestration skills and a strong attention to detail
  • 3+ years experience writing productional level code
  • Ability to write re-usable code
  • Experience writing and running unit tests
  • Experience writing code documentation
  • Experience with embedding Data Science tools (e.g. data robot) for DS efficiency
  • LLM experience preferred
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencestatistical analyticsPythonnumpypandasPySparkproductional level codeunit testscode documentationembedding Data Science tools
Soft Skills
leadershipcommunication skillsproject managementorganizational skillsattention to detailinnovationteam managementflexibilityengagementcollaboration
Certifications
Master’s degree in Data SciencePhD in computingPhD in scientific disciplinePhD in statistical disciplinePhD in mathematical discipline