Data Scientist II

5 - 10 years

8 - 12 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Partner with Product, Marketing and Engineering teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
  • Develop and implement advanced predictive and prescriptive models using machine learning algorithms to drive marketing and product decisions
  • Understand our customer needs and design metrics to analyze how our customers are using product and optimize products and features
  • Conduct experiments, causal studies and A/B tests to measure the impact of marketing and product
  • Leverage data to understand product performance and to identify improvement opportunities
  • Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations
  • Effectively present analysis to teams and give data-based recommendations to encourage data-driven decisions, assisting in product ideation and feature launch decisions
  • Think strategically on how to scale your work
  • Identify areas for further investigation
  • Drive a data culture within the Product, Marketing and Engineering teams

You Have:

  • Bachelors degree and 5+ years of experience (or 7+ years of experience)
  • Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems and experimental design
  • Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
  • Strong programming skills in Python or R
  • Proficient in SQL and skilled in visualization tools (ex. Tableau)
  • Strong track record of forming effective cross-functional partnerships
  • Experience using data to meaningfully impact product, marketing strategy and execution
  • Experience communicating analysis clearly to others
  • Ability to research and learn new technologies, tools, and methodologies
  • Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments

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