Associate Data Scientist

Full Time On Site (Full Time) @Kaplan in Data Science
  • Bangalore View on Map
  • Post Date : February 12, 2022
  • Apply Before : March 14, 2022

Job Description

Key Responsibilities

  • Perform the full range of predictive/advanced analytics and data science methodologies,

techniques and outputs associated with the area of expertise

  • Extract, manipulate, analyze & interpret data from various corporate data sources developing

advanced analytic solutions, deriving key observations, findings, insights, and formulating

actionable recommendations

  • Generate clearly understood and intuitive data science / advanced analytics outputs
  • Participate in best practice sharing and communication platform for advancement of the

data science discipline

  • Comply with established Service Level Agreements to ensure timely, high quality deliverables

with value-add recommendations, clearly articulated key findings and observations

  • Collaborate and help other data scientists
  • Present impact, insights, outcomes & recommendations to key business partners and


  • Other duties as assigned.


  • Bachelor’s Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
  • 0-3 years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations
  • Knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel etc.
  • Basic understanding in statistical methods, statistical analysis, data visualization, and data mining techniques.
  • Basic proficiency in SQL, Excel (advanced functions & pivots), and Powerpoint.
  • Knowledge of best-in-class technology “big data” platforms and cloud based technology and experience with ML engineering is a plus.
  • Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyze data to solve problems
  • Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience
  • Strong written and verbal communications skills, as well as presentation skills

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