Data Scientist

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