Looking for a Sr. Data Scientist with 5+ years of work experience training and deploying ML models. In addition, you should have at least three years of industry experience developing and deploying ML models for predictive and condition-based maintenance in production.

A few examples of the problems that you will be addressing with Data Science, ML and LLMs:

- Increase Service Engineer/Technical Support Specialist productivity
- Reduce Mean-Time-to-Repair
- Increase First-Time-Fix-Rate
- Increase Mean-Time-Between-Failures
- Reduce unplanned device downtime
- Increase device utilization

You will own the complete end-to-end ML workflow:

- Develop domain expertise and in-depth understanding of different types of medical devices
- Understand and conduct EDA on medical device operational (non-patient) data
- Formulate a business problem into a ML / Data Science problem
- Determine the best ML algorithm and statistical technique for a given problem and dataset
- ETL, cleanse and prepare system data for Machine Learning
- Train, evaluate, deploy, monitor, and manage ML models in production

Requirements





The ideal candidate is an experienced Data Scientist highly skilled in:

- Framing a business problem into a ML / Data Science problem
- Analyzing and preparing complex messy unstructured data for ML
- Training, evaluating, and deploying Failure Prediction and Anomaly Detection models

Minimum (must-have)

- 5+ years' work experience as a Data Scientist developing production-grade ML models
- 3+ years' work experience training and deploying Failure Prediction models in production
- 2+ years' work experience training and deploying Anomaly Detection models in production
- In-depth knowledge of ML algorithms, frameworks, libraries, and related tools
- Excellent exploratory data analysis, data prep and feature engineering skills
- Robust knowledge of statistics and time series data analysis
- 2+ years' work experience using Python and SQL
- Master’s or Ph.D. in Statistics, Computer Science, or another quantitative field

📌 Data Scientist (Bengaluru)
🏢 Brick Force Consulting Services Bangalore
📍 Bengaluru