Job Description

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 innovative solutions to measure and improve Map Quality using machine learning and 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 and for generating training data for ML models
• 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
• Understanding of machine learning concepts and techniques, including classification and predictive analytics
• 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 coverage for you and your family
• Yearly variable bonus
• This role is eligible for the Creative Tax Incentive scheme in Poland (KUP)
• Flexible working hours & a flexible approach to office vs. remote work

Life at HERE in Poland comes with a competitive total rewards package designed to support your health, wellbeing, and performance. This includes a base salary, a Short-Term Incentive (STI) bonus (percentage based on role), a creative tax advantage for eligible positions, private medical care (including dental), life insurance, a meal allowance, vision reimbursement, a remote work allowance (if applicable), access to MyBenefit and Multisport programs, and various wellbeing initiatives. Paid time off, sick leave, and parental leave are provided in accordance with the Polish Labor Code.

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.

Change is HERE. Apply Now.

#LI-NK3 #LI-HYBRID

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.