Pickme Vacancies Private Job Vacancies in Sri Lanka

Data Scientist – Pickme vacancies 2021

Data Scientist vacancies at PickMe (Digital Mobility Solutions Lanka (PVT) Ltd)

Closing Date: 2021-06-23

Applications are invited for all candidates to fill the Data Scientist Job Opening at PickMe (Digital Mobility Solutions Lanka (PVT) Ltd)

  • Design and Development of Data products such as recommendation engines and predictive models that deliver high-quality consumer experiences.
  • Measure effectiveness of strategic feature rollouts through structured experiments.
  • Empower operational teams with performance insights on various business functions such as marketing campaigns, promotions, loyalty programs etc.
  • Communicate analysis findings to technical and non-technical audiences through various modes such as presentations, reports etc.
  • Working in a fast-paced collaborative agile scrum environment handling multiple technical dependencies with 5-6 scrum teams at any given time.
  • Collaborate closely with Product Owners, Business Analysts, Engineers and DevOps teams to deliver end-to-end solutions.
  • Involvement in the entire SDLC of new features/use cases from the ideation stage to the production deployment in a well phased and planned manner with a strong focus towards DataOps.
  • Mentoring and guiding junior engineers in the team.


  • BSc in Mathematics / Statistics or equivalent.
  • MSc in Mathematics / Statistics / Machine Learning would be an added advantage.
  • Minimum 5+ years professional experience in Data Science and Machine Learning.
  • Strong problem solving and analytical skills with a proven track record of solving complex problems
  • Thorough understanding of data mining algorithms & machine learning models, and the practical usage of such algorithms/models to provide solutions for business problems.
  • Strong foundation and hands-on experience in one or more of the following programming languages, Scala, Python, R, HiveQL and SQL
  • Solid understanding in descriptive statistics, inferential statistics and regression.
  • Solid understanding in calculus, matrix manipulations, linear algebra, eigenvalues /eigenvectors, integrals etc.
  • Solid understanding in data wrangling techniques such as string manipulations, regular expressions, mathematical transformations, parsing of common file formats such as JSONs / XMLs etc.
  • Solid understanding in experiment design including, A/B testing, Multi-Armed Bandit, Sample Size and Power Law, Confidence Level, Bayesian statistics, Bootstrapping, Simulation techniques etc.
  • Solid understanding and hands-on experience in applying supervised, unsupervised, reinforcement learning and deep learning techniques to solve real-world predictive analytics problems.
  • Solid understanding of data visualization techniques and experience in using some of the common tools.
  • Solid communication and leadership skills.
  • Experience in guiding/mentoring junior engineers.
  • Prior experience with working in a Scrum Agile delivery environment will be an added advantage.
  • Prior experience in Hadoop / Spark / Hive development will be an added advantage.

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