Senior Data Scientist – Builder
Puma Energy —Mumbai, Maharashtra
- Full-time
- Management
- Master's degree
- SQL
Director, AI Data Engineering Tech Lead
Pfizer —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- Management
- Doctoral degree
3d
Lead Technical Architect – Planview
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
13d
AI Infrastructure Architect
Accenture —Mumbai, Maharashtra
- Full-time
- Computer Science
- Java
- Databases
Full Stack Developer
IRIS Business Services Ltd —Navi Mumbai, Maharashtra
- Azure
- SQL
- AWS
Quick apply
Senior Intelligent Automation Engineer-ServiceNow
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- Azure
- Customer service
- SQL
Senior Specialist - Software Engineering (AWS & Java)
NASDAQ —Mumbai, Maharashtra
- Full-time
- Computer Science
- DevOps
- English
GenAI & Agentic AI Lead / Architect (C2)
Capgemini —Navi Mumbai, Maharashtra
- Azure
- SQL
- AWS
- Health insurance
GenAI & Agentic AI Lead / Architect (C2)
Capgemini Sogeti —Navi Mumbai, Maharashtra
- Azure
- SQL
- AWS
- Health insurance

Related jobs to explore

Based on your search for production support engineer (python, sql)

Data Engineer
Capgemini —Mumbai, Maharashtra
At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental…
Data Engineer - IGA
Capgemini Sogeti —Navi Mumbai, Maharashtra
Strong data engineering mindset with an understanding of data pipelines and automation. Proficiency with SQL (Oracle) and working with relational databases.

I want to receive the latest job alerts for production support engineer (python, sql) in sakinaka mumbai maharashtra

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

production support engineer (python, sql) jobs near sakinaka mumbai maharashtra

Full Stack Developer jobs in Navi Mumbai, Maharashtra

Ai Architect jobs in Navi Mumbai, Maharashtra

Technical Lead jobs in Mumbai, Maharashtra

Senior Data Scientist jobs in Mumbai, Maharashtra

Senior Java Developer jobs in Mumbai, Maharashtra

Full Stack Developer jobs in Porur, Chennai, Tamil Nadu

Full Stack Developer jobs in Hitec City, Hyderabad, Telangana

Night Time, Full Time jobs in Kakinada, Andhra Pradesh

Python Developer jobs in Kerala

Full Stack Developer jobs in Malad, Mumbai, Maharashtra

Full Time jobs in Haldwani, Uttarakhand

Full Stack Developer jobs in Sainikpuri, Hyderabad, Telangana

Full Stack Developer jobs in Nashik, Maharashtra

Excel With Ai jobs in Remote

Ai Freshers jobs in Chennai, Tamil Nadu

Ai Architect jobs in Kerala

Ai Architect jobs in Mumbai, Maharashtra

Ai Architect jobs in Thane, Maharashtra

Fresher, Cse, Ai, Ml jobs in Hyderabad, Telangana

Ai Startup Company jobs in Indiranagar, Bengaluru, Karnataka

Senior Data Scientist – Builder

Puma Energy -
Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Power BI
Management
Law
Spark
Git
Tableau
Master's degree
SQL
AWS
Machine learning
Terraform
Continuous integration
A/B testing
Data science
Data visualization
AI
Communication skills
Python
Analytics

Full job description

About Puma Energy

At Puma Energy, data is at the core of how we transform our global operations and deliver value across the energy value chain. Our Data & Analytics team is building a modern cloud-native data platform on AWS and Databricks, enabling trusted, scalable data products that power analytics, AI, and business-critical decision making.

We are looking for a Senior Data Scientist who is fundamentally a builder — someone who personally designs, ships, and owns machine learning and agentic automation systems in production, and who also raises the technical bar for the wider team through hands-on mentorship and sound methodology. This is not a purely strategic or advisory role: you will be in the code, in the data, and in the model — while also guiding other data scientists and engineers on the right approach to take. You will partner closely with our Data Engineering function (which builds our scalable data products on Databricks/AWS/Spark) and with commercial, retail, supply, and trading stakeholders.

This role goes beyond model-building in a notebook. You will:

Own data science products end-to-end — from framing an ambiguous business problem to shipping and monitoring a production model.
Build and deploy applied agentic automation solutions that augment or replace manual analytical/operational workflows.
Guide teams on the right technical approach — modeling technique, architecture, and productionization strategy — without taking on formal people management.
Partner with business stakeholders to translate complex problems into scalable, measurable data science and automation solutions.
Continuously raise the bar on experimentation rigor, reproducibility, and production discipline across the team.

Responsibilities

Build & Ship Production Data Science

Design, build, and maintain machine learning models and data science solutions using Databricks, Spark (PySpark), Python, SQL, and AWS.
Own the full ML lifecycle: problem framing, data preparation, feature engineering, model training and evaluation, deployment, monitoring, and retraining.
Build reusable modeling frameworks, curated feature sets, and self-service data science assets for forecasting, optimization, segmentation, and predictive use cases.
Write clean, maintainable, production-grade code with strong testing, version control, and code-review discipline.

Applied Agentic Automation

Design and build applied agentic automation workflows (e.g., LLM/agent-based systems that plan, retrieve, reason, and take action) to automate analytical, operational, or reporting processes.
Evaluate and select appropriate agentic frameworks and tooling, balancing reliability, cost, and maintainability for production use.
Establish guardrails, evaluation, and monitoring practices for agentic systems deployed into business workflows.

Solution Design & Technical Guidance

Partner with business stakeholders to understand requirements and translate them into scalable data science and automation solutions.
Guide and mentor other data scientists and engineers through design reviews, pairing, and code/methodology review — setting the technical direction without formal management authority.
Evaluate architectural and modeling trade-offs and influence the team's technical standards and best practices.
Drive solution design from concept through production deployment.

Engineering Excellence

Build production-grade solutions with a strong focus on quality, testing, observability, and reliability.
Implement automated model validation, monitoring, and retraining pipelines in partnership with Data Engineering and MLOps.
Troubleshoot production issues and continuously improve model performance and developer experience.

Business Partnership

Collaborate with business stakeholders, product owners, analysts, architects, and engineers to solve high-impact business problems.
Communicate technical concepts and results clearly to technical and non-technical audiences.
Take end-to-end ownership of solutions from discovery and design to production support.

Required Skills & Qualifications

Core Technical Skills

6–10 years of hands-on experience in Data Science / Machine Learning, with a proven track record of building, deploying, and maintaining ML solutions in production — not solely prototyping or advisory work.
Strong, demonstrable hands-on experience with Databricks is essential for this role — this is a non-negotiable requirement, not a nice-to-have.
At least 1 year of hands-on experience building applied agentic automation solutions (e.g., LLM agents, agentic workflows, tool-using AI systems) that have been deployed or piloted in a real business context.
Strong expertise in Python, SQL, and at least one ML framework (TensorFlow, PyTorch, or scikit-learn).
Hands-on experience with Apache Spark (PySpark) and cloud-native data platforms on AWS.
Strong understanding of the end-to-end ML lifecycle: experimentation, validation, deployment, and monitoring at scale.
Strong software engineering fundamentals including Git, CI/CD, testing, and code quality.
Excellent communication skills with the ability to influence stakeholders, mentor peers, and drive technical discussions — without requiring formal people-management experience.

Nice to Have

Databricks or AWS Certifications.
Experience with MLOps tooling (MLflow, Airflow/Prefect) and Infrastructure as Code (Terraform).
Experience with experimentation / causal inference and A/B testing methodology.
Domain exposure to energy, commodities, downstream fuel/retail, or trading analytics.
Data visualization skills (Power BI, Tableau, Plotly/Dash).

What Success Looks Like

Own and deliver production-grade data science and agentic automation solutions powering business-critical decisions.
Enable at least one applied agentic automation workflow that measurably reduces manual effort or improves decision speed.
Visibly raise the technical bar of the team through mentorship, design reviews, and best practices — while remaining hands-on.
Build strong partnerships with business stakeholders and deliver measurable business outcomes.
Continuously improve model reliability, scalability, and cost efficiency on the Databricks/AWS platform.

Why Join Puma Energy

Build on a modern AWS + Databricks Lakehouse platform used across a global enterprise.
Work on challenging, high-impact data science and agentic automation problems with real business impact.
Own solutions end-to-end with autonomy and accountability — a hands-on builder role, not a purely strategic one.
Grow your career through technical leadership and mentorship, on an individual-contributor track, without being forced into people management.

Apply Now

Refine Your Search

production support engineer (python, sql) jobs in sakinaka mumbai maharashtra

Senior Data Scientist – Builder

Director, AI Data Engineering Tech Lead

Lead Technical Architect – Planview

AI Infrastructure Architect

Full Stack Developer

Senior Intelligent Automation Engineer-ServiceNow

Senior Specialist - Software Engineering (AWS & Java)

GenAI & Agentic AI Lead / Architect (C2)