Sr Data Scientist

Posted 2 Hours Ago
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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
Develop statistical, experimental, sampling, and machine learning methods to measure and improve map and location data quality. Build data workflows, quality estimators, analytics tools, and models; design testing strategies and A/B experiments; and collaborate with mapping, location, and engineering experts to deliver reliable quality measurement systems.
Summary Generated by Built In
What's the role?

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.

  • 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

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.


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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.

Skills Required

  • Master’s or PhD degree in statistics, mathematics, computer science, natural sciences, econometrics, or a related field
  • 5+ years of related work experience
  • Proficiency in sampling methods and experimental design
  • Proficiency in machine learning and modeling techniques, including regression, classification, clustering, association rules, and decision trees
  • Proficiency with analysis and programming in Python and SQL, or similar tools such as R, MATLAB, or SAS
  • Knowledge and experience using GIS tools for spatial data analysis
  • Experience specifying and explaining measurement and analytic systems with data scientists and engineers
  • Strong communication, presentation, and interpersonal skills
  • Knowledge of Hadoop or Spark for big-data extraction and preparation
  • Knowledge and experience in quality management, end-to-end quality test strategy, and Six Sigma

What the Team is Saying

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HERE Technologies Compensation & Benefits Highlights

  • Leave & Time Off Breadth — Time off is a standout, with generous vacation policies, discretionary/unlimited PTO in the U.S., and options like sabbaticals and volunteer time off. Employees also highlight hybrid-friendly practices that make taking time off practical.
  • Healthcare Strength — Health coverage is often characterized as solid, with mentions of decent plans and, in some cases, low premiums. Ancillary benefits such as vision, HSA, life insurance, and AD&D are also cited positively.
  • Flexible Benefits — Work flexibility is consistently emphasized through hybrid schedules and remote options. Formal “Flexi Work Options” and remote-work allowances in some regions reinforce this strength.

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
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