Y-Axis Jobs Logo
Send us feedback
telephone  +91 7670 800 001
Log in Sign up Try Premium
Senior Analyst at eClerx Career Site
, maharashtra, India -
Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Machine Learning, Deep Learning, Time Series, Optimization, Statistical Analysis, SQL, Python, Scikit-learn, TensorFlow, PyTorch, Pandas, Cloud Platforms, Git, Tableau, Power BI

Industry

IT Services and IT Consulting

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).  
Responsibilities
The role involves designing, building, validating, and deploying advanced predictive machine learning models to solve high-impact business problems. Responsibilities also include performing deep statistical analysis, ensuring data quality with engineering teams, and developing reporting systems.