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

14 Jul, 26

Salary

0.0

Posted On

15 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Deep Learning, Time Series Analysis, Optimization, SQL, Python, Scikit-learn, TensorFlow, PyTorch, Pandas, Tableau, Power BI, AWS, GCP, Azure, Git

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, and deploying advanced predictive machine learning models to solve complex business problems. You will also perform deep statistical analysis, generate strategic insights, and present findings to client stakeholders.