Senior Manager, Data Science Job Description

Senior Manager, Data Science Job Description Template

Our company is looking for a Senior Manager, Data Science to join our team.

Responsibilities:

  • Collaborate with product, engineering and design teams;
  • Research product opportunities and help build business cases;
  • Design A/B experiments in a fast moving environment;
  • Structure a medium to large sized data team for success;
  • Manage a team of diverse data skill sets including Data Scientists and Business Analysts;
  • Serve as the data point of contact for the entire Product organization;
  • Architect and build technical platforms for our algorithmic engines to run at scale;
  • Develop quantitative models, leveraging machine learning and advanced data analysis techniques;
  • Uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how act on findings;
  • Leverage our work in order to increase adoption across our business partners, to drive real business value;
  • Provide technical leadership and strategic initiatives for your team;
  • Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers;
  • Deliver presentations to high level business stakeholders that tell cohesive, logical stories using data;
  • Serve as a consultative partner to the marketing team to understand needs and conduct analyses that will help determine targeting strategy;
  • Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value.

Requirements:

  • Strong coding experience and knowledge of object oriented programming;
  • Hands on experience with large scale data processing software and tools (Hadoop, Spark, MapReduce etc);
  • 5+ years experience in Data Science, Business Analytics, Deep Learning, Statistical Research or a related field;
  • Bachelor’s degree in Statistics, Computer Science, Engineering, or equivalent experience;
  • Bachelor’s degree in Statistics, Computer Science, Engineering, or equivalent experience.