Senior Analyst

Posted Yesterday
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Pune, Mahārāshtra, IND
Hybrid
Senior level
Analytics
The Role
Design, build, and deploy predictive ML models; perform EDA and data wrangling; implement model explainability, experimentation, versioning, and MLOps workflows; maintain documentation; collaborate with engineering for production integration and present results to client stakeholders.
Summary Generated by Built In
Data Scientist
Experience & Qualifications
  • Professional Experience: 4–5 years of proven experience in Data Science roles.

  • Client Communication: Collaborate directly with client teams, present complex technical findings using intuitive visuals especially for non-technical senior stakeholders, and proactively propose innovative ideas for process and model improvement.

Technical Requirements & Responsibilities
  • Predictive Modeling: Build and deploy traditional Machine Learning (ML) solutions to help solve business problems.

  • Modeling Best Practices: Implement model explainability, rigorous experimentation, prompt engineering, feature engineering, cross-validation, hyperparameter tuning, bias detection, and robust MLOps deployment workflows.

  • Operational Excellence: Maintain comprehensive technical documentation, track historical requirements and design changes, enforce strict model versioning (data/code/weights), and implement reproducible research standards.

  • Data Preparation: Perform exploratory data analysis (EDA) and data wrangling on complex datasets.

  • Production Integration: Collaborate with engineering teams to integrate models into live systems.

  • (Preferred) Statistical Analysis: Apply fundamental statistics to validate models and run experiments.

Skills Required

  • 4-5 years of professional Data Science experience
  • Collaborate with client teams and present technical findings to non-technical senior stakeholders
  • Build and deploy traditional Machine Learning solutions
  • Implement model explainability, experimentation, prompt engineering, feature engineering, cross-validation, hyperparameter tuning, and bias detection
  • Develop and maintain robust MLOps deployment workflows and strict model versioning (data/code/weights)
  • Maintain comprehensive technical documentation and reproducible research standards
  • Perform exploratory data analysis (EDA) and data wrangling on complex datasets
  • Collaborate with engineering teams to integrate models into live systems
  • Apply fundamental statistical analysis to validate models and run experiments

eClerx LLC Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eClerx LLC and has not been reviewed or approved by eClerx LLC.

  • Healthcare Strength Feedback suggests U.S. employees have access to medical, dental, and vision coverage, with HSA/FSA options and life insurance included. An Employee Assistance Program also appears in the public benefits profile supporting wellbeing.
  • Retirement Support Feedback suggests a 401(k) is part of the U.S. package, with some mentions of an employer match. Retirement provision is consistently cited across company profiles and listings.
  • Leave & Time Off Breadth Feedback suggests paid holidays, sick leave, and PTO are part of the offering, alongside parental leave. Parental leave is also highlighted in public benefits profiles.

eClerx LLC Insights

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The Company
HQ: Mumbai, Maharashtra
12,544 Employees
Year Founded: 2000

What We Do

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. Incorporated in 2000, eClerx is today traded on both the Bombay and National Stock Exchanges of India. The firm employs 16,000+ people across Australia, Canada, Germany, India, Italy, Netherlands, Philippines, Singapore, Thailand, UK, and the USA.

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