Data Scientist - Deputy Manager
Data Scientist - Deputy Manager
Ahmedabad, Gujarat, India
TRENDING
RESPONSIBILITIES
1 Business Understanding & Solution Design
Engage business SPOCs to define problem statements, success criteria and decision workflows; convert them into analytical use cases.
Prepare Business Requirement Documents, Solution Design Documents and approach notes; obtain sign-off from business and techno-functional owners.
Define KPIs, accuracy thresholds and acceptance criteria before development begins.
- 2 Data Engineering & Governance
Source, reconcile, and validate data across internal systems, SCADA/market feeds, weather, and third-party sources.
Apply data quality controls — unique-key checks, missing-block detection, completeness checks, duplicate handling, time-zone standardization and mapping validation — before model training and reporting.
Build reproducible feature pipelines including lagged, rolling, calendar and exogenous features.
- 3 Model Development & Validation
Develop and tune machine learning and time-series models (tree-based, boosting, statistical and deep learning methods) for demand, price, sales and footfall forecasting.
Deliver computer vision and NLP solutions for compliance checks, monitoring and document/resume intelligence use cases.
Develop Generative AI and Agentic AI solutions using LLMs, RAG and tool-enabled agents to automate enterprise workflows and support intelligent decision-making.
Perform back-testing, ensemble comparison, error attribution and block-level validation; benchmark against existing baselines using MAPE, bias and unexplained variance.
- 4 Deployment & MLOps
Deploy models on Databricks and Azure with scheduled jobs, automated retraining triggers and outputs published to the Unity Catalog.
Remove manual dependencies through automation; ensure monitoring, versioning and fallback logic for production runs.
Coordinate with data engineering and IT for integration, UAT and production rollout.
- 5 Reporting, Stakeholder & Project Management
Present results, accuracy trends and recommendations to business heads and senior leadership; publish minutes of meeting and track actions.
Manage delivery through JIRA — break down epics into stories and tasks, track dependencies, risks and timelines in an Agile cadence.
Mentor junior data scientists and interns; review code, methodology and documentation.
QUALIFICATIONS
Postgraduate degree in Data Science, Big Data Analytics, Statistics, Computer Science, Engineering or a related quantitative discipline.
3–6 years of applied data science experience with at least one solution deployed to production.
Preferred
Domain exposure to power and energy markets, utilities, manufacturing, cement or aviation.
Certifications in Databricks, Azure Data Engineering / AI, or cloud ML platforms.
Publications or conference presentations in applied analytics or operations research.
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JOB INFO
Job Identification
59262
Job Category
Data Analytics & Business Intelligence (BI)
Posting Date
09/30/2026, 02:16 PM
Locations
Shantigram, Ahmedabad, Gujarat, 382421, IN
Apply Before
11/26/2026, 02:16 PM
Job Schedule
Full time
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