Sr Data Scientist

Posted Yesterday
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Mumbai, Maharashtra, IND
Hybrid
Senior level
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
We make a unified map designed for every moving vehicle
The Role
Design and implement map and location quality testing: create experimental and sampling plans, develop ML models and statistical metrics, build data/computing tools, collaborate with stakeholders, present methods and results, and lead end-to-end quality evaluation processes.
Summary Generated by Built In
What's the role?

The Senior Data Scientist is responsible for developing map test designs and metrics, sampling designs, Machine learning models, data and computing tools, and other analytics centered on Map and Location quality requirements.


• Build innovative solutions to measure Map Quality using Machine Learning (including Predictive analytics) and Statistical methods• Be a Subject Matter Expert (SME) on statistical and experimental design methods for Map and Location quality testing processes• Develop sampling plans to perform map quality evaluation, and to create training data for building ML models• Define & implement statistical quality metrics• Design and develop data and computing tools to enable processing of data data and results• Collaborate with internal and external stakeholders• Interact with external customers to discuss use cases, quality methods and metrics and make presentations• Be a Subject Matter Expert (SME) for Map quality testing methods and metrics• Develop and ensure end-to-end design and implementation of quality testing processes, including test design, sampling plans, data collection, quality evaluation, data and computing systems, machine learning models, and metrics.• Engage with other HERE stakeholders to understand business and customer expectations (before engaging in designing test process)

Who are you?

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.


  • Master’s Degree or PhD in Statistics / Data Science / Mathematics / Computer Science / Quality Management Systems 
  • Minimum 5 years of related work experience
  • Proficiency in Machine Learning concepts and techniques (including classification /predictive analytics techniques)
  • Proficiency in sampling methods and estimation
  • Proficiency in Python and/or R
  • Proficiency in SQL
  • Experience with using GIS (Geographic Information System) tools for spatial data analysis is a plus
  • Knowledge and experience in Quality management, End-to-End quality test strategy and Six Sigma will be a plus
  • Experience with understanding, specifying, and explaining measurement and analytic systems to other data scientists, engineers, and non-technical colleagues
  • Excellent oral and written communication skills. Experience interacting with both internal and external customers, and making presentations
  • Strong problem-solving and critical thinking abilities
  • Team player with collaboration skills
  • Excellent leadership skills

What we offer


HERE offers an opportunity to work in a cutting-edge technology environment with challenging problems to solve! You can make a direct impact on delivery of company´s strategic goals and the freedom to decide how to perform your work. We will support you in delivering your day-to-day tasks and achieving your personal goals and developing your skills. Personal development is highly encouraged at HERE. You can take different courses and training at our online Learning Campus and join cross-functional team projects within our Talent Platform.


HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

Who are we?

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.



Skills Required

  • Master's Degree or PhD in Statistics, Data Science, Mathematics, Computer Science, or Quality Management Systems
  • Minimum 5 years of related work experience
  • Proficiency in Machine Learning concepts and techniques (including classification and predictive analytics)
  • Proficiency in sampling methods and estimation
  • Proficiency in Python and/or R
  • Proficiency in SQL
  • Experience using GIS tools for spatial data analysis
  • Knowledge and experience in Quality management, end-to-end quality test strategy, and Six Sigma
  • Ability to specify and explain measurement and analytic systems to technical and non-technical audiences
  • Excellent oral and written communication skills and experience presenting to internal and external customers
  • Strong problem-solving and critical thinking abilities
  • Team player with collaboration skills
  • Excellent leadership skills

What the Team is Saying

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HERE Technologies Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes medical, dental, vision, HSA/FSA options, life and disability insurance, and an EAP, with mental‑health support referenced. The overall scope is consistent with a comprehensive tech‑company package.
  • Leave & Time Off Breadth Offerings span hybrid Flexi Work Options, Volunteer Time Off, a formal Sabbatical policy, paid holidays, parental leave, and a U.S. discretionary/unlimited PTO model. This portfolio supports work‑life balance through multiple time‑off pathways.
  • Flexible Benefits Work arrangements emphasize hybrid/remote flexibility and home‑office support, complemented by corporate learning resources and online course access. These elements add day‑to‑day agility beyond core insurance and retirement.

HERE Technologies Insights

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The Company
HQ: Amsterdam
6,000 Employees
Year Founded: 1985

What We Do

HERE Technologies is a location data and technology company that created the first digital map over 35 years ago. Today we are the world's leading location platform company with a global footprint across 52 countries. Although our strongest presence is in the automotive industry, we also work with leading companies across a wide range of industries, including transport and logistics, mobility, manufacturing and retail and the public sector.

Why Work With Us

At HERE, we're always excited about discovering people who share our passion for building innovative solutions that make the world easier to navigate. We believe our success is powered by our team's diversity, creativity and collaboration and we're always looking for opportunities to grow it further.

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HERE Technologies Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
HQAmsterdam, NL
JP
Bangkok, TH
Bengaluru, IN
Berlin, DE
Burlington, MA
Chicago, IL
Eindhoven, NL
El Desagüe, MX
Frankfurt am Main, DE
Gurugram, IN
Hanyang, KR
Kraków, PL
London, GB
Melbourne, Victoria
Mumbai, IN
Navi Mumbai, IN
Paris, FR
São Paulo, BR
Learn more

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