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Faclon Labs
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Lead Data Scientist

Lead Data Scientist

Faclon Labs

4 - 5 years

19 - 22 Lacs

mumbai metropolitan region

Posted:23 hours ago| Platform:

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Skills Required

data scoping deployment reliability engineering model mentoring experimentation ml statistics algebra python xgboost aws gcp airflow spark docker fastapi analytics agile iot saas ping analysis learning ai kubernetes

Work Mode

On-site

Job Type

Full Time

Job Description

Location:

MumbaiWhat you’ll do

Manage end-to-end data science projects from scoping to deployment, ensuring accuracy, reliability and measurable business impact
Translate business needs into actionable DS tasks, lead data wrangling, feature engineering, and model optimization
Communicate insights to non-technical stakeholders to guide decisions while mentoring a 14 member DS team.
Implement scalable MLOps, automated pipelines, and reusable frameworks to accelerate delivery and experimentation

What we’re looking for

4-5 years of hands-on experience in Data Science/ML with strong foundations in statistics, Linear Algebra, and optimization
Proficient in Python (NumbPy, pandas, scikit-learn, XGBoost) and experienced with at least one cloud platform (AWS, GCP or Azure)
Skilled in building data pipelines (Airflow, Spark) and deploying models using Docker, FastAPI, etc
Adept at communicating insights effectively to both technical and non-technical audiences
Bachelor’s from any field

You might have an edge over others if

Experience with LLMs or GenAI apps
Contributions to open-source or published research
Exposure to real-time analytics and industrial datasets

You should not apply with us if

You don’t want to work in agile environments
The unpredictability and super iterative nature of startups scare you
You hate working with people who are smarter than you
You don’t thrive in self-driven, “owner mindset” environments- nothing wrong- just not our type!

About Us

We’re

Faclon Labs

– a high-growth, deep-tech startup on a mission to make infrastructure and utilities smarter using IoT and SaaS. Sounds heavy? That’s because we do heavy lifting — in tech, in thinking, and in creating real-world impact.We’re not your average startup. We don’t do corporate fluff. We do

ownership, fast iterations, and big ideas

. If you're looking for ping-pong tables, we're still saving up. But if you want to shape the soul of the company while it's being built- this is the place!
Skills:- Python, Statistical Analysis, Machine Learning (ML), Deep Learning, Generative AI, Deployment Tools, Cloud Computing and Kubernetes

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Lead Data Scientist