Data Analyst Job Description

Skills, Responsibilities and Job Description Template for Data Analyst

Job Description

We are looking for Data Scientists with deep expertise in statistics, machine learning, optimization, and/or building data products. An ideal candidate should be able to apply innovative Machine Learning techniques to real-world problems.

We love data scientists who are motivated not only by researching new solutions, but by owning the problem end to end. There is tremendous opportunity in front of us, and joining now gives you a chance to grow your career and interests as we succeed.


  • Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
  • Analyze and extract relevant information from business data to help automate and optimize key processes
  • Design, develop and evaluate highly innovative models for predictive learning
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Research and implement novel machine learning and statistical approaches

Skills and Qualifications

  • M.S. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field
  • Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
  • Extensive experience with data tools -- Python (Pandas, scipy, numpy, scikitlearn etc), R, SQL, Octave
  • Ability to approach questions with a scientific rigor, but can execute pragmatically -- the simplest solution may be the best at times
  • A strong communicator. Explaining complex technical concepts to product managers, support, and other engineers is no problem for you

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