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Data Scientist

Parspec

Bengaluru, Karnataka, India permanent

Posted: March 10, 2026

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Quick Summary

Data Scientist at Parspec, responsible for developing and maintaining AI-native platform for construction materials supply chain.

Job Description

About Parspec

Parspec is building the AI and digital infrastructure for the construction materials supply chain.

Construction is a $15 trillion industry, yet the systems that underpin the buying and selling of materials remain fragmented, manual, and disconnected. Distributors and rep agencies rely on spreadsheets, PDFs, phone calls, and siloed tools to find new products and quote and manage projects — creating delays, errors, and margin erosion across the supply chain.

Parspec is an AI-native platform that powers how construction products are discovered, bought, and sold. Trusted by more than 300 MEP distributors and rep agencies, Parspec helps project-driven businesses bid faster, win more work, and operate more profitably. By combining product intelligence, AI-powered workflows, and a connected ecosystem, Parspec is laying the foundation for a more intelligent, efficient construction supply chain.

Founded in 2021 and headquartered in San Mateo, California, Parspec has raised $31 million from leading deep-tech and construction-technology investors.

The Opportunity

We are looking for a passionate Data Scientist to join our growing AI team. As an early member of the team, you will play a key role in designing and building advanced AI systems that power Parspec’s platform.

This role sits at the intersection of AI engineering and applied data science, requiring strong experience working with complex and messy datasets. You will help transform raw construction product data into structured intelligence that powers search, recommendation, and automation workflows across our platform.

Preferred location: Bengaluru, with regular in-office collaboration.

What You Will Achieve and Key Responsibilities

Data Engineering & Data Science

• Work with large, messy, and unstructured datasets, transforming them into structured formats that improve model performance.

• Gather, clean, and structure datasets from multiple sources to support AI training pipelines.

• Build systems that enable the team to maintain high-quality datasets and drive model accuracy over time.
Analyze complex datasets to identify patterns, trends, and insights that improve product discovery and recommendations.

Scalable AI Infrastructure

• Design and build end-to-end data pipelines and machine learning pipelines.

• Develop scalable systems capable of handling large volumes of construction product data.

• Work with engineering teams to deploy models into production systems.

Product Development & Collaboration

• Work closely with product managers, designers, and engineers to integrate AI capabilities into Parspec’s applications.

• Own product features from concept through implementation and deployment.

• Communicate technical findings through visualizations, reports, and dashboards that support product and business decisions.

Research & Innovation

• Stay current with the latest developments in machine learning, deep learning, and AI frameworks.

• Contribute to Parspec’s broader AI research and development initiatives.

• Uphold Parspec’s culture of engineering excellence through high-quality code and thoughtful system design.

What We’re Looking For

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related technical field.

• Strong conceptual understanding of machine learning, statistics, and data modeling.

• Proven experience working with large, messy, or unstructured datasets, including cleaning, structuring, and transforming data for analysis and model training.

• Strong programming skills in Python and SQL (R is a plus).

• Experience implementing machine learning projects using libraries such as NumPy, Pandas, scikit-learn, and Matplotlib.

• Experience training deep learning models using TensorFlow/Keras or PyTorch.

• Strong knowledge of statistics, probability, and machine learning techniques such as regression, classification, and clustering.

• Ability to write clean, efficient, and maintainable code.

• Ability to take ownership of projects and drive initiatives from concept through production deployment.

Preferred Qualifications

• Experience building data pipelines and ML pipelines for production systems.

• Familiarity with AWS infrastructure and Django-based applications.

• Experience working with OCR pipelines, document processing, or PDF data extraction.

• Familiarity with data visualization tools such as Tableau or Power BI.

• Strong knowledge of algorithms and data structures.

• Participation in Kaggle competitions, competitive programming, or open-source contributions.

• Experience collaborating with distributed teams across multiple time zones.

What We Offer

• Competitive salary and benefits, including family insurance coverage, free health teleconsultations, and learning/upskilling budgets

• Equity in the company

• Flexible hours and a hybrid work setup

• Unlimited PTO

• Opportunity to grow with a fast-scaling company transforming a large market

• Preferred Location: Bengaluru, with regular in-office presence

Join Us

At Parspec, we recognize that traditional job descriptions don’t always capture the full range of your unique abilities—and that’s perfectly okay. You may not meet every requirement, but if you bring a mix of experiences, fresh perspectives, and a passion that aligns with our mission, we want to hear from you!

The Parspec team believes that varied backgrounds drive better outcomes and fuel innovation. We are a team of self-starters that lead from every seat. We think big, set a standard of excellence and are committed to diversity and a discrimination-free workplace. We welcome applicants from all walks of life to join us and help shape the future at Parspec.

How to Apply

Submit your application and resume highlighting your achievements. Apply now and help drive transformative change in one of the world’s oldest and largest industries!

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