Manager - Data Science - Analytics - Mumbai - Lower Parel - JM
Eofh Open At a glance
Manager-level Data Science role at Eofh. Mumbai · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Clarify business problems with stakeholders and shape requirements into analytical methods and solution plans
- Choose statistical or machine learning methods, then build models suited to business use and clear interpretation
- Inspect data for patterns, trends and performance gaps, turning findings into recommendations for business decisions
- Take analytics projects from defining the problem through rollout and monitoring, keeping delivery on schedule and to standard
- Score accounts into risk bands, watch model stability and coordinate deployment checks with IT and data teams
What you bring
- You can apply statistical and machine learning techniques to business problems
- You can turn analytical results into clear recommendations and explain models to business stakeholders
Who this fits
This manager role suits someone who can guide analytics projects end to end and communicate findings to business and functional stakeholders. The stated location is Lower Parel, Mumbai.
From the employer
Main Accountabilities
1. Business Problem Understanding & Approach Development
• Engage stakeholders to understand problem statements
• Participate in cross-functional discussions to understand processes and identify analytical opportunities
• Translate business requirements into structured analytical approaches and solution frameworks
2. Model Development & Analytical Solutions
• Apply appropriate statistical and machine learning techniques to solve business problems
• Ensure models are robust, interpretable, and aligned with business use
3. Business Analysis & Insight Generation
• Conduct detailed data analysis to identify trends, patterns, and performance gaps
• Generate insights to support decision-making across lifecycle stages
• Translate analytical outputs into clear, actionable business recommendations
4. End-to-End Project Ownership
• Own delivery of analytics projects from problem definition to implementation and monitoring
• Manage timelines, stakeholder expectations, and delivery quality
5. Model Scoring & Performance Tracking
• Perform regular model scoring (monthly / periodic) to classify accounts into categories such as high, medium, and low risk
• Track model performance and stability over time
• Identify shifts in model behaviour and recommend recalibration where required
6. Implementation & Deployment Coordination
• Work closely with IT and data teams to deploy models into production systems
• Ensure smooth integration of models into business processes and workflows
• Validate outputs post-deployment to ensure accuracy and usability
7. Stakeholder Communication & Presentation
• Present analysis, models, and insights to business and functional stakeholders
• Explain methodologies and outputs in a clear and structured manner
• Support decision-making through data-backed recommendations
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