The Senior/Lead Data Scientist will design and deploy large-scale analytics solutions that deliver measurable impact. This role leads data-driven projects from ideation through implementation, provides technical and strategic guidance, and ensures best practices in data science across the business.

Key Responsibilities:

- Lead end-to-end advanced analytics and data science projects, delivering actionable insights and predictive models.
- Manage, mentor, and provide guidance to junior and mid-level data scientists.
- Collaborate with business stakeholders to translate strategic objectives into data-driven solutions and drive the data strategy.
- Apply advanced statistical, machine learning, and deep learning techniques for problem solving.
- Oversee data management, data governance, and pipeline design to ensure high data quality and reliability.
- Develop, validate, and deploy production-grade models for business problems acrossIoT, product analytics, and AI domains.
- Hands-on solutioning knowledge of Large Language Models (LLMs), fine-tuning, and RAG (Retrieval Augmented Generation) frameworks for enterprise AI applications.
- Present findings and recommendations to business teams, including creation of transparent visualizations and non-technical reports.
- Stay abreast of the latest data science, analytics,



and AI/ML trends and industry best practices.

Required Skills:

- 7 10 years of experience in data science, analytics, or ML application roles.
- Expertise with Python, R, SQL, and advanced machine learning libraries (TensorFlow, PyTorch, Scikit-learn).
- Strong statistical and mathematical modeling background (regression, classification, clustering, deep learning, time series).
- Hands-on experience with Big Data technologies (Spark) and data pipeline design.
- Track record of leading successful analytics projects and collaborating cross- functionally.
- Excellent communication, visualization, and storytelling skills for technical and non-technical audiences.
- Proven ability to manage teams, mentor junior talent, and foster a collaborative culture.

Preferred Skills

- Experience in IoT, product engineering, or high-tech environments.
- Familiarity with cloud platforms and scalable model deployment (AWS, Azure, GCP).
- Knowledge of MLOps, containerization (Docker, Kubernetes), and version control (Git).
- Professional certifications in data science, ML/AI, or project management.

Experience

- 7-10 Years

Skills: Tensorflow, Pytorch, Sql, Python

Experience: 7.00-10.00 Years

📌 Data Scientist (Kochi)
🏢 Gadgeon Smart Systems
📍 Kochi