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Senior Analyst

5-7 Years
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Job Description

Role: Senior Data Scientist / Advanced Analytics

We are looking for an experienced Data Science professional with strong expertise in building and deploying advanced predictive ML models. The role requires hands-on ownership of model design, validation, and production deployment to solve high-impact business problems.

Key Responsibilities:

  • Design, build, validate, and deploy advanced predictive models (ML, deep learning, time series, optimization).

  • Perform deep statistical analysis and generate strategic business insights.

  • Work closely with Data Engineering teams to ensure data quality and architecture readiness.

  • Develop and maintain dashboards / reporting systems (Tableau / Power BI).

  • Act as an expert in complex SQL querying and data manipulation.

  • Present analytical findings and model outcomes directly to client stakeholders.

  • Mentor junior team members and lead multiple analytical projects.

Required Skills & Experience:

  • 5+ years of experience in Data Science / Advanced Analytics.

  • Expert-level SQL and strong Python skills (scikit-learn, TensorFlow / PyTorch, Pandas).

  • Proven experience building end-to-end production-grade ML models.

  • Exposure to cloud platforms (AWS / GCP / Azure) and Git.

  • Strong problem-solving ability and stakeholder communication skills.

Important Screening Criteria:

  • Prioritize candidates with real industry-level ML / Data Science project experience.

  • Avoid profiles heavily focused on Data Engineering, ETL, or pure dashboarding work.

  • Validate hands-on involvement in end-to-end ML model development.

  • Confirm willingness for WFO/WFH model and shift timing (1 PM 10 PM).

More Info

About Company

eClerx provides business process management, automation and analytics services to a number of Fortune 2000 enterprises, including some of the world's leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies.

Job ID: 145033887