Associate Data Scientist

Pune - India

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Associate Data Scientist (Machine Learning & Statistics)

Department: Information Technology
Work Schedule: 9:30 AM – 6:30 PM (Monday–Friday)

Role Overview

We are looking for an Associate Data Scientist with strong core machine learning fundamentals and hands-on experience particularly in time series data to work end-to-end on real-world ML problems.
The role involves data exploration model development experimentation deployment support and performance tracking with direct business impact.

Exposure to LLMs / RAG systems and basic water or process-domain knowledge is a plus but the primary focus remains classical ML done well.

Key Responsibilities

Work hands-on with raw datasets to explore data frame problem statements and build strong baseline models
Design train validate and evaluate ML models with rigorous metric tracking
Extensively work with time series data (trend seasonality lag features forecasting anomaly detection)
Run structured experiments and ablation studies to improve model performance
Collaborate with engineering product and operations teams to integrate models into applications
Support model deployment monitoring and performance tracking in production environments
Clearly communicate insights results and limitations to both technical and non-technical stakeholders

Must-Have Skills & Experience

1 year of hands-on experience in Data Science / Machine Learning
Strong Python proficiency (pandas numpy scikit-learn)
Strong core machine learning fundamentals including hands-on experience with regression and classification techniques a solid understanding of the bias–variance tradeoff feature engineering and model evaluation using appropriate performance metrics.
Extensive experience working with time-series data encompassing forecasting trend and seasonality analysis creation of lag and rolling features and the application of time-aware validation strategies.
Strong understanding of statistics and quantitative reasoning
Good grasp of model interpretability bias and fairness concepts
Strong problem-solving ability and ownership mindset
Clear written and verbal communication skills

Good to Have (Nice-to-Have Not Mandatory)

Basic understanding of water / wastewater domain concepts KPIs or industrial processes
Foundational exposure to MLOps practices such as model packaging API-based model serving experiment tracking and basic model monitoring.
Experience with chemical or process analytics

Qualifications

Degree in Computer Science Statistics Mathematics Chemical Engineering Applied Chemistry or a related field or equivalent practical experience demonstrating similar technical expertise.
1 years of relevant professional experience in applied data science or machine learning

Associate Data Scientist (Machine Learning & Statistics)Department: Information TechnologyWork Schedule: 9:30 AM – 6:30 PM (Monday–Friday) Role OverviewWe are looking for an Associate Data Scientist with strong core machine learning fundamentals and hands-on experience particularly in time series da...