Lead Data Scientist

Lead Data Scientist

Location:

What youll 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 were 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

Faclon Labs

ownership, fast iterations, and big ideas