Hiring for: A US-based, AI-first data solutions company founded by seasoned technology leaders.
Role: Data Scientist
Positions: 4
Experience: 5 to 7 years
Location(s): Remote (Global), Chennai
Type: In office / Permanent
Salary: Up to INR 20 LPA (Based on fitment)
Notice Period: Immediate to 15-20 Days

About the Role
We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.
The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities
- Design, develop, and deploy Machine Learning models for business-critical use cases.
- Build and optimize traditional ML models such as:




- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Gradient Boosting (XGBoost, LightGBM, CatBoost)
- Support Vector Machines
- Clustering Algorithms
- Develop forecasting solutions using:
- ARIMA / SARIMA
- Prophet
- Exponential Smoothing
- Time-Series Regression Models
- Perform exploratory data analysis (EDA), feature engineering, and data validation.
- Evaluate model performance using appropriate statistical and business metrics.
- Work with structured and semi-structured datasets from multiple sources.
- Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
- Build scalable data pipelines and support model deployment in production environments.
- Monitor model performance, identify data drift, and implement model retraining strategies.
- Present insights and recommendations to technical and non-technical stakeholders.

📌 Data Scientist (Aurangabad)
🏢 datavruti
📍 Aurangabad