Dear Candidates,
Greeting from TCS!!!
TCS is looking for Data Scientist
Experience: 6-10 years
Location: Hyderabad / Chennai
MUST HAVE SKILLS:
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Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time & remediation
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Python, R etc.
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Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
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Good knowledge of end-to-end data science implementation including data ingestion, integration
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Good knowledge on channel performance, marketing strategies & Optimize customer acquisition efforts
GOOD TO HAVE SKILL:
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Masters degree in a quantitative discipline.
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MLOps/ DevOps
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BI tools like Power BI
ROLES AND RESPONSIBILITIES:
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Ability to tailor communications to a variety of internal and external audiences.
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Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
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Effective written and verbal communication and interpersonal skills.
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Ability to engage with senior C-level business leaders.
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Calm under pressure, ability to juggle multiple priorities and ambiguity.
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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
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Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
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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.
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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.
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Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
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Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans