Data Scientist : Predictive Modelling & Forecasting

OneWay.Cab (Baroda Taxi Cabs Pvt. Ltd.); Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading transportation service provider is seeking a data professional with expertise in Python, statistical modelling, and data pipelines. The ideal candidate will build statistical models, develop forecasting models, and work with large datasets. If you have 2-5 years of experience in Data Science or ML Engineering, we encourage you to apply for this full-time position.

Qualifications

• 2–5 years in Data Science, ML Engineering, Analytics, or related fields.
• Built predictive or forecasting models in a previous role.
• Developed ML pipelines from raw data to deployment.

Responsibilities

• Build and evaluate statistical & machine learning models.
• Develop forecasting models for performance and operational metrics.
• Design clean, reliable data pipelines.
• Analyse large datasets to identify patterns and insights.
• Translate analytical questions into structured modelling tasks.
• Document processes and communicate findings clearly.

Skills

Experience with ML models (XGBoost / LightGBM / CatBoost)

Experience with regression, classification, and predictive modelling

Time-series forecasting (Prophet, SARIMA, or similar)

Strong SQL: joins, window functions, analytical queries

Ability to work with large datasets and build end-to-end pipelines

Knowledge of data validation, evaluation metrics, and model monitoring

Education

Degree in Engineering, Computer Science, Statistics, Mathematics, or equivalent

Tools

APIs & third‑party data sources

Cloud data warehouses (BigQuery/Redshift/Snowflake)

Dashboards (Power BI/Looker/Tableau)

Airflow/Prefect workflows

Job description

We are looking for a data professional with strong expertise in Python, statistical modelling, forecasting, and building scalable data pipelines. The ideal candidate can work with large datasets, build predictive models, and create analytical systems that support decision‑making and optimisation.

Key Responsibilities

• Build and evaluate statistical & machine learning models
• Develop forecasting models for performance and operational metrics.
• Design clean, reliable data pipelines and feature engineering workflows.
• Analyse large datasets to identify patterns, drivers, and insights.
• Translate ambiguous analytical questions into structured modelling tasks.
• Document processes and communicate findings clearly.

Core Skills (Required)

• Experience with ML models (XGBoost / LightGBM / CatBoost)
• Experience with regression, classification, and predictive modelling.
• Time-series forecasting (Prophet, SARIMA, or similar).
• Strong SQL: joins, window functions, analytical queries.
• Ability to work with large datasets and build end-to-end pipelines.
• Knowledge of data validation, evaluation metrics, and model monitoring.

Preferred (Nice but not required)

• Experience integrating APIs, or working with any third‑party data sources.
• Familiarity with cloud data warehouses (BigQuery / Redshift / Snowflake).
• Experience with dashboards (Power BI, Looker, Tableau).
• Exposure to experimentation (A/B tests) or uplift modelling.
• Familiarity with feature stores or workflow schedulers (Airflow/Prefect)

Prior Experience Candidates should have experience in at least 2–3 of the following:

• Built predictive or forecasting models in a previous role.
• Worked with large‑scale numeric datasets (product, sales, operational, etc.).
• Developed ML pipelines from raw data to deployment.
• Created statistical models for KPIs like conversions, transactions, orders, or performance metrics.
• Implemented ETL/ELT data processes.

Background

• 2–5 years in Data Science, ML Engineering, Analytics, or related fields.
• Degree in Engineering, Computer Science, Statistics, Mathematics, or equivalent.

Soft Skills

• Strong analytical mindset.
• Ability to work independently with minimal guidance.
• Clear communication and structured problem‑solving ability.
• Comfortable working in a fast‑paced environment.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Truck Transportation