Lead Data Scientist

The Lead Data Scientist manages the data science team, planning projects, and building analytics models, leveraging on large volumes of data across sources in a variety of forms. He/She is responsible for leading the development of analytics-focused products and utilizing cutting edge machine learning, natural language processing, and mathematical techniques to develop powerful sciences.

Key Responsibilities

  • Leads and manages a team of data scientists that is innovative, collaborative, and customer-focused.
  • Manages a team of data scientists, machine learning engineers and big data specialists
  • Measures business performance, develops core metrics and creates dashboards
  • Spots and manages data development challenges in the organization
  • Responsible for data science professional development and training in the use of modern data science tools.
  • Performs deep analyses and builds models to understand customer behavior, and extract key insights that impact product decisions.
  • Performs research and builds core understanding of the company performance metrics to qualitatively inform and interpret models.
  • Standardizes methods and algorithms used across the business unit.
  • Develops and maintains standard software libraries and associated documentation

Job Requirements/Qualifications:

  • Degree in Computer Science, Data Science, Mathematics or similar field
  • Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Knowledge of data management and visualization techniques
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Skills needed for this role

The Lead Data Scientist must have experience of implementing quality assurance of software-based processes and analytical outputs. He/She must have experience of using machine learning or artificial intelligence technologies. He/She must also have great communication skills, good scripting and programming skills .

Career Level

Managerial, Head

Job Specializations

Information & Technology, Business Intelligence