- Understand business problems and work on the statistical and analytical approach required for the solution.

- Work on various steps of a data science project - Data mining and Exploratory Data Analysis (EDA), Feature Engineering, Statistical modelling, integration with AI/ML platform, visualisation and result inferencing and presentation to stakeholders.

- Leverage machine learning techniques such as regression, classification, clustering, bayesian algorithms, matrix factorization, graphical models, to contribute to the execution of our vision for ML-based technology solutions.

- Collaborate with business stakeholders to effectively integrate and communicate analysis findings

Responsibilities

- 1-4 years of prior data science experience.

- Data science programming languages and querying databases:



Python, SQL/HIVE.

- Deep understanding of various statistical/ML techniques.

- Expertise in the use of cloud based infrastructure to manage the volume and veracity of complex data streams.

- Basic knowledge of API frameworks like Flask/Fastapi, version control systems like Git and cloud platform like AWS/GCP.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist (Karnataka)
🏢 Heaps Health Solutions India
📍 Karnataka