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Data Science

Associate Data Scientist
Forecasting & ML Systems

Ideal for someone early in their career who wants to dive deep into applied ML - learning to build production systems that run at scale, not just prototypes in notebooks.

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Role

Associate Data Scientist

Location

Remote

Experience

0-2 years

About the Role

As a Data Scientist on our Core ML team, you'll work alongside experienced team members to build and improve the forecasting and ML systems that power our platform. This is hands-on technical work: time-series modeling, feature engineering, model productization, and MLOps.

This is an ideal role for someone early in their career who wants to dive deep into applied ML - learning to build production systems that run at scale, not just prototypes in notebooks. You'll receive mentorship from our Lead DS while contributing meaningfully to real projects from day one.

What You Will Do

1

Implement and test time-series forecasting models (statistical and ML-based) for demand prediction

2

Build feature engineering pipelines for structured and unstructured data

3

Develop data quality checks and anomaly detection components

4

Write production-quality Python code: refactor notebooks into config-driven, testable modules

5

Run experiments, analyze model performance, and document findings

6

Contribute to MLOps infrastructure: experiment tracking, testing, documentation

7

Learn and apply AI-assisted development tools (Cursor, Claude Code) in daily workflow

Must Have

  • Bachelor's or Master's in Computer Science, Statistics, Mathematics, or related quantitative field
  • Fresh graduate or 0-2 years of experience in data science, ML, or related roles
  • Strong Python skills demonstrated through coursework, projects, or internships
  • Foundational understanding of ML concepts: supervised learning, overfitting, cross-validation, evaluation metrics
  • Exposure to time-series data or forecasting (academic projects count)
  • Familiarity with pandas, numpy, and at least one ML framework (scikit-learn, PyTorch, or TensorFlow)
  • Basic SQL knowledge for data querying
  • Strong problem-solving skills and ability to learn quickly
  • Comfortable working independently in a remote-first environment

Nice to Have

  • Internship experience in data science or ML engineering
  • Projects involving time-series analysis, demand forecasting, or anomaly detection
  • Exposure to version control (git) and collaborative development practices
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Interest in supply chain, manufacturing, or logistics domains

Why Join Us

Learn production ML

Move beyond coursework - your code runs in production for Fortune 500 customers

Mentorship

Work directly with the Lead DS, get hands-on guidance on real problems

Technical depth

Specialize in time-series and forecasting - build expertise that's in high demand

AI-native workflow

Learn modern development practices with Claude, Cursor, and other AI tools

Growth trajectory

As the team scales, early hires grow into senior roles and shape technical direction

Small team, real impact

Your contributions matter from day one

Remote-first

Flexible work from anywhere, with occasional meetups

Compensation

Competitive with India market rates. Equity participation for full-time hires.

Ready to Start Your Career?

Join our team and learn from experienced engineers while building production ML systems for Fortune 500 customers.

Apply on LinkedIn