What's the role?
As a Data Scientist, you will work on developing data-driven solutions to improve Map and Location quality. You will combine statistical methods, machine learning, and analytical thinking to create impactful insights and tools. In this role, you will:

• Build creative solutions to measure and improve Map Quality using statistical methods

• Act as a subject matter expert in statistical and experimental design for map and location quality testing processes

• Develop sampling strategies for map quality evaluation

• Define and implement statistical quality metrics to track and improve performance

• Design and develop data and computing tools to process data and analyze results at scale

• Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions

• Communicate findings and insights through presentations and written materials, including white papers

Who are you?

• A degree in Statistics, Data Science, Mathematics, Computer Science, Quality Management Systems, or a related field





• Around 0.5–3 years of relevant professional experience

• Knowledge of statistical sampling methods and experimental design

• Experience working with programming languages such as Python, R, SAS, or Matlab

• Working knowledge of SQL

• Strong problem-solving skills and a structured approach to analyzing data

• Effective communication skills in English, both written and verbal

• Ability to collaborate in a team environment and contribute to shared outcomes

• Good organization skills, attention to detail, and the ability to manage multiple tasks

What we offer:

• Work on on globally deployed automotive navigation and mapping products

• Collaboration with an experienced, international engineering organization

• Truly international team of fantastic & talented people from 60+ countries worldwide, working from strong tech hubs located in Europe, the US, and Asia, along with multiple smaller locations

• Medical

📌 Data Scientist II (Mumbai)
🏢 HERE Technologies
📍 Mumbai