Principal Data Scientist-GenAI l LLMs l Computer Vision l Multimodal AI

Posted Yesterday
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Mumbai, Maharashtra, IND
Hybrid
Expert/Leader
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
We make a unified map designed for every moving vehicle
The Role
Leads advanced data science and machine learning initiatives for global-scale digital map-making. Defines technical direction, develops predictive and statistical models, applies AI technologies, and drives deployment across scalable big data environments. Provides technical leadership for complex projects, collaborates with engineering and architecture teams, explains predictive solutions to executives, and mentors data scientists and engineers.
Summary Generated by Built In
What's the role?

The Principal Data Scientist in this team would be responsible for innovating and developing advanced machine learning and data analytics solutions to build our industry-leading map. The candidate will work with developers, architects to define technical solutions and drive the development, deployment, and maintenance of applications across multiple environments.

  • Define and drive the technical direction for the next generation of process automation in HERE Core Map, leveraging highly scalable Big Data infrastructure and machine learning for global-scale digital map-making.
  • Lead the development and application of advanced analytic, statistical, and machine learning models to improve data-driven map-making decisions and system control.
  • Act as a technical expert and thought leader in areas of data mining, machine learning, statistics, predictive analysis, and modeling.
  • Provide technical leadership across Core Map projects, driving complex data science initiatives and influencing solution design and architecture.
  • Identify and drive opportunities to apply emerging machine learning and AI technologies to improve Core Map processes and solutions.
  • Mentor and provide technical guidance to data scientists and engineers, promoting best practices and scalable solutions.
Who are you?
  • MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
  • Minimum of 10+ years related professional experience.
  • Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.
  • Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
  • Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
  • Programming experience with SQL, shell script, Python, etc.
  • Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
  • Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
  • Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.
  • What Do We Offer?
    • The opportunity to solve meaningful, large‑scale problems with real‑world impact
    • A collaborative and inclusive work culture
    • Opportunities for continuous learning, skill development, and career growth
    • Flexible working arrangements (varies by location)
    • A diverse community of colleagues across 60+ nationalities
    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.
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. Watch Video


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.



You will join the Core Map organization, the group responsible for building and maintaining the foundational location data that powers the entire HERE platform. The team consists of data scientists, machine learning engineers, software developers, and map domain specialists who work together to automate and scale global map‑making.We focus on developing high‑performance data pipelines, large‑scale processing systems, and advanced machine learning models that transform raw sensor, probe, and partner data into high‑quality map content used by customers worldwide. Our culture is collaborative, open, and experimentation‑driven, with a strong emphasis on learning, innovation, and bringing new ideas to production.

Skills Required

  • MS or PhD in Statistics, Applied Mathematics, Computer Science, Econometrics, or a related discipline, with emphasis or thesis work in computational statistics, data mining, machine learning, optimization, or related areas.
  • Minimum 10+ years of related professional experience.
  • Expert knowledge of data mining and analytical methods such as regression, classification, clustering, association rules, decision trees, or Bayesian network analysis.
  • Knowledge of computer vision, deep learning, and point cloud processing algorithms.
  • Proficiency with a statistical analysis package and scripting language such as Python, R, MATLAB, or SAS.
  • Programming experience with SQL, shell scripting, Python, or similar languages.
  • Knowledge of or experience with Pig, Hive, Hadoop, and/or Spark for big data extraction and preparation.
  • Ability to interact effectively with internal and external executive, technical, and non-technical stakeholders.
  • Demonstrated ability to explain predictive modeling solutions and organize data scientists and engineers to deliver them.

What the Team is Saying

Vrushali

HERE Technologies Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is described as solid, with employer-verified medical, dental, vision, and mental-health/EAP resources. Public benefits materials consistently reference robust core coverage.
  • Leave & Time Off Breadth Vacation/PTO is employer-verified, and programs like sabbatical and volunteer time off are highlighted in company-facing summaries. These options indicate a broad time-off offering.
  • Flexible Benefits Work-from-home and hybrid arrangements are employer-verified, with many U.S. teams operating on a hybrid schedule. Flexibility features prominently in the total-rewards framing.

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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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