Sr Data Scientist

Posted 4 Hours Ago
Be an Early Applicant
Chicago, IL, USA
Hybrid
105K-149K Annually
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
Lead statistical and ML-based measurement programs for HD map quality. Design sampling and experiments, build estimators and models, develop data workflows and tools, collaborate with map experts and engineers to improve map products and validate quality metrics.
Summary Generated by Built In
What's the role?

Our team has partnered closely with customers to build a robust quality measurement system for HD maps, ensuring both safety and availability in automated driving. Through multi-step review processes, we generate independent reference data for map features and attributes, guaranteeing high data integrity. This system not only evaluates map content quality against agreed KPIs but also quantifies the reliability and uncertainty of these measurements, providing timely feedback that supports critical use cases.


As a Senior Data Scientist within the Quality and Business Planning team, you are passionate about delivering quality products. This involves deploying statistical and analytic methods, measurements, and machine learning models to measure and impact the quality of our map products. You are responsible for developing sampling and test designs, data and computing workflows, and analytics centered on Map and Location quality requirements.


What would you do?

  • Be a subject matter expert on statistical and experimental design methods for Map and Location quality testing processes
  • Interpret project objectives and requirements, create enabling data science solutions and produce impactful outcomes
  • Develop sampling plans for data collection, quality evaluation, and the production of training data, along with technical estimators for the evaluation of map quality, and A/B experiments to validate optimization and solution approaches
  • Build and test statistical and machine learning models to support improvement of a wide variety of data-driven processes for map making
  • Design and develop data and computing tools to enable processing of quality testing data and results
  • Work with map and location experts, engineering teams, and other teams across the company to enable high-quality map products
Who are you?
  • Master's or PhD degree required. Degree in statistics, mathematics, computer sciences, natural sciences, econometrics, or related fields.
  • 5+ years of related work experience
  • Team player with good communication, presentation, and people skills
  • Proficiency and understanding of sampling methods and experimental design
  • Proficiency of machine learning and modeling techniques, including analytic methods such as regression, classifiers, clustering, association rules, decision trees, etc.
  • Proficiency with analysis and programming in Python and SQL, or similar packages (R, Matlab, SAS, etc.)
  • Knowledge and experience with using GIS tools for spatial data analysis
  • Experience with understanding, specifying and explaining measurement and analytic systems with other teams of data scientists and engineers to execute projects delivering those solutions.
  • Knowledge of tools for working with big data in Hadoop or Spark for data extraction and preparation for analysis will be a plus
  • Knowledge and experience in Quality management, End-to-End quality test strategy and Six Sigma will be a plus

The expected base salary range for this position is $104,600 to $149,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for an annual performance bonus, which is subject to company and individual performance. 

  

Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies.   

  

As part of HERE Technologies employment process, candidates will be required to successfully complete a background verification process. Offers of employment and any related claims are subject to the successful completion of a background verification. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records. 

  

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.  

  

Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team. 

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 or PhD degree in statistics, mathematics, computer sciences, natural sciences, econometrics, or related field
  • 5+ years of related work experience
  • Proficiency and understanding of sampling methods and experimental design
  • Proficiency with machine learning and modeling techniques (regression, classifiers, clustering, decision trees, association rules, etc.)
  • Proficiency with analysis and programming in Python and SQL (or similar packages R, Matlab, SAS)
  • Knowledge and experience using GIS tools for spatial data analysis
  • Experience specifying and explaining measurement and analytic systems to cross-functional teams
  • Knowledge of tools for working with big data in Hadoop or Spark
  • Knowledge and experience in Quality management, end-to-end quality test strategy and Six Sigma
  • Strong communication, presentation, and teamwork skills

What the Team is Saying

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HERE Technologies Compensation & Benefits Highlights

  • Healthcare Strength Medical, dental, and vision coverage is paired with life and disability insurance and an Employee Assistance Program. Core health coverage in the U.S. is often described as solid and high quality.
  • Leave & Time Off Breadth Vacation/PTO, sick leave, paid holidays, paid volunteer time, and a formal sabbatical policy are offered. These programs provide notable breadth beyond standard leave.
  • Parental & Family Support Parental leave is offered and often described as generous, with maternity and paternity options referenced. Family-oriented policies are visible, though specific durations differ by location.

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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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