Senior Data Scientist

Senior Data Scientist Job Description Template

Our company is looking for a Senior Data Scientist to join our team.


  • Working in a highly-collaborative environment with other experts in data science and engineering;
  • Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis;
  • Build, improve and maintain the data pipelines that enable Data Science to deliver insight at scale to cross-functional partners;
  • respond quickly to questions/challenges to dashboardresults;
  • Identifying new opportunities to leverage our data asset;
  • Explore and build new tools to model, test, and drive innovation across our business and customer experiences;
  • Meticulous experimentation to evaluate and compare models;
  • Present findings in client-facing settings or to other external partners as needed;
  • Building data processing pipelines to quickly iterate on research ideas and put them into production;
  • Find new and unique data-first solutions in our industry to business operations, ground operations, and engineering problems;
  • Communicate key analytic findings within the business and to senior stakeholders;
  • Develop predictive algorithms across different areas with the aim of better understanding our customer and our business;
  • Be part of our research team to provide both client feedback and analysis to help guide data driven decisions to improve our products;
  • Communications : Build and manage relationships with campus partners, develop a deep understanding of problems and present solutions;
  • Lead a team of data scientists in the development of multiple analytic efforts.


  • Advance analytics in R, Python, or Julia;
  • Experience with data mining techniques;
  • Strong coding skills in one or more of Python, R, C/C++, Java, Scala, C#
  • Comfortable working in a Linux environment;
  • Experience in data collection and annotation;
  • Bachelors degree in Data Science or related field with 5+ years in a Data Scientist type role;
  • Ability to code and develop prototypes in languages such as Python, Perl, Java, C;
  • Experience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc;
  • Comfortable performing independent research to support analytics decisions as part of the product lifecycle;
  • Great communication and presentation skills;
  • Experience with big data – Cloud data warehouses, cluster computing, Spark, MapReduce/Hadoop;
  • Demonstrated analytic agility;
  • Demonstrated good proficiency / publication record in one or more of the following areas;
  • Strong communication and collaboration skills, with a proven ability to work across functions and influence senior leaders;
  • Experience visualizing complex data insights using ggplot2 in R or seaborn/matplotlib in Python.