Description

Develop and deploy machine learning models to solve complex business problems through statistical analysis and data engineering.

You will own the end-to-end analytical cycle, from hypothesis formulation and feature engineering to model deployment and stakeholder communication.

Responsibilities

• Research and build custom ML models for recommendation, forecasting, insight generation, and anomaly detection.
• Develop data pipelines to supply high-quality data to production environments.
• Perform data quality checks, feature engineering, and visualization throughout the analytical cycle.
• Write reports based on exploratory data analysis and communicate technical insights to product owners.
• Write scalable scripts to fetch or modify data from API endpoints.

Required Skills

• 2+ years of proven experience as a Data Scientist.
• Proficiency in Python, SQL, and data wrangling with large datasets.
• Strong foundation in mathematics, including statistics, probability, linear algebra, and time series analysis.
• Applied knowledge of regression, clustering, classification, and supervised/unsupervised learning.
• Experience with machine learning frameworks including TensorFlow, Prophet, and Jupyter.
• Practical experience with LSTM, hypothesis testing, and time-series forecasting.
• Working knowledge of MS SQL Server.

Preferred Skills

• Experience with Azure ML and cloud technologies.

Key Skills

Education

Any Graduate