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Senior Process Manager

Senior Process Manager

eClerx

8 - 13 years

5 - 9 Lacs

pune

Posted:2 months ago| Platform:

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Skills Required

scikit-learn numpy pandas gcp aws sales forecasting forecasting microsoft azure power bi competitive intelligence merchandising sales tableau market intelligence process management statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Process Manager Roles and responsibilities:

Design and deliver analytics models aligned with strategic objectives.
Partner with pricing, product, and assortment teams to deliver actionable ML-driven insights
Ensure robust and well-documented model lifecycle management
Present technical results in a clear and actionable manner to business stakeholders

Stakeholder Engagement

Engage cross-functional teams (merchandising, pricing, category management, leadership) to understand business needs and drive analytics projects
Communicate complex analytical concepts in an accessible way to non-technical audiences

Business Impact & ROI

Drive improvements in revenue, margin, competitive positioning, and operational efficiency through data-driven solutions
Develop KPIs to monitor model and business impact, ensuring sustainable value creation

Advanced Statistical & Machine Learning Expertise

Strong foundation in regression analysis, time-series forecasting, hypothesis testing, A/B testing, and experimental design
Hands-on experience building and deploying predictive models for pricing, assortment, sales forecasting, competitive intelligence, and product substitution mapping
Applied expertise in ML techniques: classification, clustering, regression, recommendation engines, and feature engineering

Domain-Specific Applications

Design data science solutions for market intelligence, assortment management, competitive benchmarking, pricing optimization, and digital shelf diagnostics
Translate business problems into analytical solutions with measurable business outcomes

Scalable Data Pipelines & Model Deployment

Develop scalable pipelines and workflows for model building and performance monitoring
Implement robust data validation, model explain ability, and documentation practices

Technical andFunctional Skills:

Senior Data Scientist with 8+ years of experience.
Masters degree (preferred) or Bachelors degree in Statistics, Computer Science, Data Science, Mathematics, Engineering, or related quantitative field
Additional certifications in Data Science, Machine Learning, or related technologies (AWS/Azure ML, Coursera, edX, etc.) will be an advantage
Strong proficiency in Python (Pandas, scikit-learn, NumPy, SQL Alchemy) and SQL.
Working knowledge of visualization tools: Power BI, Tableau
Exposure to cloud computing environments (Azure / AWS / GCP)

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