Data Science Manager Job Description

Data Science Manager manages the daily activities of the team responsible for identifying business trends and problems through big data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Being a Data Science Manager manages the design and implementation of big data solutions for the organization. May require extensive knowledge of big data tools like Hadoop, Hbase, Hive, Zookeeper, etc. Requires a bachelor’s degree in related area. Additionally, Data Science Manager typically reports to senior management. The Data Science Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Science Manager typically requires 5 years experience in the related area as an individual contributor. 1 – 3 years supervisory experience may be required. Extensive knowledge of the function and department processes.

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Data Science Manager Job Description Template

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

Responsibilities:

  • Lead a team of data scientists on both technical and business issues;
  • Maintain independent relationships with senior leadership to support overall company strategy;
  • Evaluate and experiment with new technologies and tools prior to wider adoption by the team;
  • Follow legal policies as directed;
  • Operate at level of sophistication in statistics, machine learning, or computer science that is publication-worthy;
  • Remove obstacles and enable teams to work productively in a constructive environment;
  • Manage scope and pace of execution across multiple projects for high quality and on time delivery;
  • Communicate project status to key stakeholders on an ongoing basis;
  • Build and manage the data science pipeline and roadmap;
  • Regularly monitor pull requests, perform code reviews, and produce excellent peer reviews on projects prior to shipping to Product & Engineering;
  • Design, operationalize and execute the strategy for data science at Burning Glass;
  • Prepare and present monthly and quarterly reports for the executive team;
  • Advertising technologies, personalization, marketing, CRM, and supply chain;
  • Help create long term vision for business enhancement;
  • Perform offline evaluation of models, customer engagement, and business processes.

Requirements:

  • Experience effectively turning research results into applications and features that drive business impact;
  • Able to explore ambiguous or poorly defined problems, suggest acceptance criteria, and prioritize work to deliver projects on time;
  • Experience or familiarity in cross device/ID graph solution is a plus;
  • Intermediate-level or higher Continuous Improvement knowledge, skills, and certifications;
  • Experience in workforce planning, team engagement, budget planning, contract negotiations, and vendor management;
  • Great communication and teamwork skills;
  • Ability to come up with creative solutions and quickly prototype them;
  • Experience with consumer behavior and insights analysis (transactional and usage.);
  • Knowledge or background in data engineering is a plus;
  • Frequent user of cloud computing platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform;
  • Experience in data science, machine learning, data mining, and related fields;
  • Proven ability to collaborate, build consensus and navigate complex environments;
  • 3+ years experience in a Data Science/Machine Learning role;
  • Understanding of Big Data and cloud-based data architecture;
  • Proficient with relational databases (e.g. SQL), Python, R, Linux Shell scripting.