Lead Data Scientist (m/f/x)

HERE Technologies
Added: April 26, 2024

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.

About the team and your role:

Path finding, travel time estimation and a precise EV/fuel consumption prediction play a key role in various location-based services and navigation solutions offered by HERE. These include personalized route planning, fleet optimization, solutions to support EV transformation for transport & logistic industries.

The Routing team at HERE is responsible for building a comprehensive and performant routing solution for different transportation modes (pedestrian, bikes, scooters, cars / e-cars, multiple truck profiles) while providing a wide flexibility for customers in terms of personalization based on customer’s data or via route options.

As a Lead Data Scientist, you will be responsible for:

  • Conducting experiments on real-world location data for travel time estimations / consumption and evaluating routing services against these estimations
  • Prototyping improvements for the Routing API experience by leveraging customer’s probes and other data sources
  • Building and scaling up robust data processing and machine learning pipelines
  • Analysing and evaluating traffic data feeds in terms of impact on route calculation
  • Support productization & delivery of proposed improvements in a close collaboration with development teams

If it is your dream to be working with cutting-edge technologies and improving state-of-the-art routing algorithms - join our team!


Essential qualifications and skills:

  • Bachelor/Master’s in in Computer Science, Mathematics, Data Science, or similar technical degree
  • 5+ years of experience delivering projects with a clear understanding for the key aspects of the data science process, i.e., data preparation, data mining, predictive modeling, machine learning, statistical and mathematical analysis, as well as experience with algorithms and coding
  • Proficient in the Python programming language and experience with scikit, Pandas and Jupyter notebooks. Alternatively, proficiency in Matlab or R
  • Experience working with continuous integration tools like Jenkins or CI workflows in Gitlab or GitHub.
  • Experience of working in a cloud environment (AWS, GCP, Azure etc)
  • Experience with containers (Docker) and their orchestration (Kubernetes)
  • Self-motivated, well-organized and a team player.
  • Very good in English communication skills, both written and spoken.

Knowledge in any of the following areas would be a plus:

  • Experience in data engineering/processing (pySpark, Dask, Ray or similar)
  • Experience in automating Machine Learning pipelines.
  • Knowledge of location-based services such as mapping, navigation, GPS

What we offer?

  • This role is eligible for Creative Tax Incentive scheme in Poland” or KUP (Autorskie Koszty<span style="margin: 0px; padding: 0px;" data-ccp-props="{"134233117":true,"134233118":true,"335551550":6,"335551620":6,"335559685":0}">

    Uzyskania Przychodu)

  • Work with cutting edge, modern technologies<span style="margin: 0px; padding: 0px;" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559739":160,"335559740":240,"335559991":360}">
  • fantastic & talented people from 60+ countries worldwide
  • Great coworkers and an international environment
  • flexible working hours <span style="margin: 0px; padding: 0px;" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559739":160,"335559740":240,"335559991":360}">
  • a great work-life balance <span style="margin: 0px; padding: 0px; font-family: 'Segoe UI', 'Segoe UI_EmbeddedFont', 'Segoe UI_MSFontService', sans-serif;" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559739":160,"335559740":240,"335559991":360}">
  • <span style="margin: 0px; padding: 0px; font-size: 12pt; font-family: arial, helvetica, sans-serif; color: #000000;" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559739":160,"335559740":240,"335559991":360}">25 paid vacation days
  • <span style="margin: 0px; padding: 0px; font-size: 12pt; font-family: arial, helvetica, sans-serif; color: #000000;" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559739":160,"335559740":240,"335559991":360}">Meal Vouchers
  • <span style="margin: 0px; padding: 0px; font-size: 12pt; font-family: arial, helvetica, sans-serif; color: #000000;" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559739":160,"335559740":240,"335559991":360}">Vision Support
  • <span style="margin: 0px; padding: 0px; font-size: 12pt; font-family: arial, helvetica, sans-serif; color: #000000;" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559739":160,"335559740":240,"335559991":360}">Competitive salary plus bonus
  • Opportunities to learn, grow and develop company hackathons, technical talks, and trainings
  • DevOps working culture in an Agile environment
  • Challenging problems to solve
  • <span style="margin: 0px; padding: 0px; font-size: 12pt; font-family: arial, helvetica, sans-serif; color: #000000;" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335551550":1,"335551620":1,"335559685":720,"335559737":0,"335559739":160,"335559740":240,"335559991":360}">Brown bag talks, team events and more!

Change is HERE. Apply Now!

As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable.

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.