Senior Data Scientist

HERE Technologies; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading location data company in Mumbai seeks a Senior Data Scientist to develop and deploy machine learning models using complex geospatial datasets. Responsibilities include optimizing traffic predictions and collaborating with engineering teams. Ideal candidates should have a Master's or PhD, 4+ years in data science, and strong skills in Python, SQL, and geospatial tools. This role offers the opportunity to contribute to impactful projects that improve mobility and safety for millions of users worldwide.

Qualifications

• 4+ years of experience in applied machine learning or data science.
• Strong proficiency in Python and SQL.
• Hands-on experience with geospatial tools and spatial databases.

Responsibilities

• Build, train, and optimize machine learning models for traffic prediction.
• Analyze large-scale mobility and geospatial datasets.
• Develop algorithms for map-matching and anomaly detection.

Skills

Applied Machine Learning

Data Visualization

Geospatial Analytics

Problem Solving

Python

SQL

Education

Master’s or PhD in Data Science, Computer Science, or related field

Tools

scikit-learn

TensorFlow

PyTorch

GeoPandas

PostGIS

AWS

Job description

Overview

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

About the Team

Our Traffic Data Science team transforms billions of GPS signals, sensor inputs, and real‑time traffic reports into accurate insights that improve mobility and safety. We build predictive traffic models, analyze large‑scale geospatial data, and enable real‑time updates that support routing, congestion avoidance, and smarter mobility decisions across the globe. The team is collaborative, curious, and passionate about applying data science to meaningful real‑world challenges.

Role

What’s the role:

As a Senior Data Scientist, you’ll develop and deploy machine learning models that interpret complex mobility and geospatial datasets. By combining advanced analytics with scalable engineering, you will directly contribute to improving routing, traffic forecasting, and map quality systems used by millions of people worldwide.

Responsibilities

• Build, train, and optimize machine learning models for traffic prediction, routing, and congestion identification.
• Analyze large-scale mobility and geospatial datasets from GPS, connected vehicles, and public traffic feeds to uncover meaningful patterns.
• Develop algorithms for map-matching, road segmentation, anomaly detection, and spatial/temporal modeling.
• Design and maintain scalable data pipelines for spatial and time-series data ingestion and processing.
• Experiment with features, conduct model evaluations, and enhance performance through iterative improvements.
• Collaborate closely with engineering and product partners to integrate models into production-grade systems.
• Communicate insights, findings, and recommendations clearly to technical and non-technical stakeholders.

Qualifications

You are someone who enjoys solving complex data problems, experimenting with new techniques, and building scalable machine learning solutions that have real-world impact. Your Skills and Experience:

• Master’s or PhD in Data Science, Computer Science, Transportation Engineering, or a related field.
• 4+ years of experience in applied machine learning or data science.
• Strong proficiency in Python and SQL, and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with geospatial tools like GeoPandas, Shapely, GDAL, and spatial databases (PostGIS, BigQuery GIS).
• Solid understanding of spatial statistics, time-series modeling, and routing algorithms.
• Experience working with distributed computing environments (Spark, Databricks) and cloud platforms (AWS, GCP, or Azure).
• Curiosity, a problem‑solving mindset, and the ability to explain complex concepts in simple terms.

HERE Technologies is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, age, or disability.