Data Scientist

3 weeks ago

Hyderabad Telangana India, Telangana Tata Consultancy Services Full time

Dear Candidates,

Greeting from TCS

TCS is looking for Data Scientist

Experience: 6-10 years

Location: Hyderabad / Chennai


MUST HAVE SKILLS:

  • Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time & remediation
  • Python, R etc.
  • Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
  • Good knowledge of end-to-end data science implementation including data ingestion, integration
  • Good knowledge on channel performance, marketing strategies & Optimize customer acquisition efforts


GOOD TO HAVE SKILL:

  • Masters degree in a quantitative discipline.
  • MLOps/ DevOps
  • BI tools like Power BI


ROLES AND RESPONSIBILITIES:

  • Ability to tailor communications to a variety of internal and external audiences.
  • Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
  • Effective written and verbal communication and interpersonal skills.
  • Ability to engage with senior C-level business leaders.
  • Calm under pressure, ability to juggle multiple priorities and ambiguity.
  • Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
  • Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
  • Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
  • Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
  • Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
  • Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans

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