Data Scientist

Data Scientist

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About Speedioo

Speedioo is building the technology platform for the used two-wheeler resale ecosystem in India.

We are digitizing and automating the complete vehicle resale journey — including customer acquisition, sales, vehicle procurement, inspection, pricing, inventory, transactions and analytics.

We are now building our data and AI capabilities to make critical business decisions more data-driven, faster and more accurate.

About the Role

• We are looking for a Data Scientist with 3–5 years of experience to build Speedioo's Pricing & Intelligence Engine.
• Your primary responsibility will be to develop a data-driven pricing and valuation system that helps Speedioo
• determine the right buying price, selling price, expected margin and expected time-to-sell for every vehicle.
• You will work at the intersection of Data Science, Machine Learning, Product and Business.
• This is a hands-on role where you will own the complete journey: Business Problem → Data → Analysis → Model →
• Production → Measurement → Continuous Improvement
• We are looking for someone who is passionate about using data to solve real business problems and can translate
• complex datasets into actionable decisions.

Key Responsibilities

Pricing & Valuation

● Develop ML models to predict used two-wheeler prices and valuations.

● Build models for recommended acquisition and selling prices.

● Predict expected resale value and gross margin.

● Develop expected days-to-sell / sales velocity models.

● Develop pricing ranges and confidence scores.

● Identify key factors influencing vehicle prices.

● Continuously improve models using actual purchase and sales outcomes.

Data Science & Modelling

● Perform exploratory data analysis to identify trends and patterns.

● Develop meaningful features from vehicle, transaction and market data.

● Build and evaluate regression and classification models.

● Experiment with different modelling techniques and algorithms.

● Perform model tuning, validation and error analysis.

● Identify data quality issues, outliers and anomalies.

● Measure model performance using both statistical and business metrics.

Data & Feature Engineering

Work with vehicle, transaction and market data including make/model/variant, age, kilometres, location, condition,

ownership/service history, inspection results, historical transaction prices, market prices, demand, inventory,

seasonality and sales velocity.

Create features and datasets that enable reliable and continuously improving predictions.

Speedioo | Data Scientist – Pricing & AI

Production & Model Deployment

● Convert analytical models into production-ready solutions.

● Work with engineering teams to integrate models into Speedioo's applications.

● Build model inference APIs and prediction pipelines.

● Maintain model versions and experiments.

● Monitor model performance and prediction accuracy.

● Identify model drift and performance degradation.

● Establish processes for model retraining as new data becomes available.

Business Analytics

● Vehicle procurement

● Pricing

● Gross margins

● Inventory turnover

● Vehicle ageing

● Demand forecasting

● Sales conversion

● Customer behaviour

● Operational efficiency

Translate analysis into clear business recommendations and measurable actions.

Future AI / ML Opportunities

● Vehicle demand prediction

● Inventory ageing prediction

● Lead scoring

● Sales conversion prediction

● Customer segmentation

● Recommendation systems

● Fraud / anomaly detection

● Automated vehicle inspection

● Image-based vehicle assessment

● Document intelligence

● Generative AI applications

Technology & Tools

Programming & Data

Python | SQL | Pandas | NumPy

Machine Learning

Scikit-learn | XGBoost | LightGBM

Experience with regression, classification, clustering, time-series modelling, ensemble methods, feature engineering, model evaluation and optimization.

AI / Deep Learning

PyTorch | TensorFlow | Hugging Face | Computer Vision | LLMs / Generative AI

Data & ML Engineering

MLflow | Git | Docker | REST APIs | AWS

Experience with Airflow, model monitoring, feature stores or similar tools is a plus.

What We Are Looking For

● 3–5 years of experience in Data Science, Machine Learning, AI or a related field.

● Strong Python programming skills.

● Strong understanding of statistics and machine learning.

● Hands-on experience with regression, classification and tree-based models.

● Strong experience with XGBoost / LightGBM / Scikit-learn or equivalent.

● Strong SQL and data analysis skills.

● Strong understanding of feature engineering and model evaluation.

● Experience working with real-world, noisy and incomplete datasets.

● Experience taking models from experimentation to production.

● Ability to understand business problems and translate them into data science problems.

● Strong analytical and problem-solving skills.

● Ability to communicate technical findings clearly to business and product stakeholders.

● Strong ownership and ability to work independently in a startup environment.

What We Expect You to Build

The long-term vision is to make pricing a core technology advantage for Speedioo.

For every vehicle, the platform should progressively be able to answer: What is this vehicle worth? What should Speedioo pay for it? What can we realistically sell it for? How quickly will it sell? What margin can we expect? How confident are we in the prediction? Should we buy this vehicle?

The goal is to build a pricing intelligence system that gets smarter with every inspection, purchase, sale and market signal.

Why Join Speedioo?

● Build a core Data Science capability from the ground up.

● Work on a high-impact pricing problem where your models directly affect purchases, margins, inventory and revenue.

● Own the journey from data and modelling to production and business impact.

● Work closely with Engineering, Product and Business leadership.

● Get the opportunity to apply AI/ML across pricing, sales, operations and vehicle intelligence.

● Join at an early stage and help shape Speedioo's data-driven technology strategy.

Education

Bachelor's / Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related discipline is preferred.

Strong practical Data Science experience and demonstrable projects will also be valued.

Core Skills

Python | SQL | Machine Learning | Statistics | Scikit-learn | XGBoost | LightGBM | Pandas | NumPy | Feature Engineering | Model Evaluation | ML Deployment | AWS