Data Scientist (Sri Lanka)
Employer: PickMe
Industry: IT Support and Networking
Location: Sri Lanka
Responsibilities:
– Working in a fast paced collaborative agile scrum environment handling multiple technical dependencies with 5-6 scrum teams at any given time.
– A comprehensive understanding of mathematics and statistics.
– Thorough understanding of data mining algorithms & machine learning models, and the practical usage of such algorithms / models to provide solutions for business problems.
– Ability to articulate the used scientific approach and the derived analysis / model into both verbal and written communication including but not limited to, presentations, visualizations, reports, design diagrams etc.
– Mentoring and guiding junior engineers in the team.
– Involvement in the entire SDLC of new features / use cases from ideation stage to the Production deployment on a well phased and planned manner.
Requirements:
– BSc in Mathematics / Statistics or equivalent.
– MSc in Mathematics / Statistics / Machine Learning will be an added advantage.
– Minimum 5+ years experience in Data Science related positions.
– Solid communication and leadership skills.
– Experience in guiding / mentoring junior engineers.
– Preferred solid exposure in one or more of the following programming languages, Scala, Python, R, HiveQL, SQL
– Solid understanding in descriptive statistics, inferential statistics and regression.
– Solid understanding in calculus, matrix manipulations, linear algebra, eigenvaiues/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.
– Prior experience with working in a Scrum Agile delivery environment will be an added advantage.
– Prior experience in Hadoop / Spark development will be an added advantage.
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