Sr Data Scientist

Posted Yesterday
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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
Lead design and deployment of machine learning and analytics solutions for global-scale map-making. Build and test predictive and statistical models, drive process automation on Big Data infrastructure, mentor data science teams, and collaborate with researchers, developers, architects, and stakeholders to deliver scalable map-related ML systems.
Summary Generated by Built In
What's the role?
As a Senior Data Scientist in GeoCortex team you would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. You will also:
  • Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
  • Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.
  • Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
  • Function as a predictive modeling or application team lead on Core Map projects.

Who are you?
You are a fast learner and are comfortable working with little direction. You take initiative and bring up ideas. In addition you have the following:
  • Bachelor's, MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
  • Three to Eight years related working experience depending on the educational qualification.
  • 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.Development experience with NoSQL (i.e. DynamoDB)

What do we Offer?
HERE offers an opportunity to work in a cutting-edge technology environment with challenging problems to solve! You can make a direct impact on delivery of company's strategic goals and the freedom to decide how to perform your work. We will support you in delivering your day-to-day tasks and achieving your personal goals and developing your skills. Personal development is highly encouraged at HERE. You can take different courses and training at our online Learning Campus and join cross-functional team projects within our Talent Platform.
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. Watch video
In thos role you will be part of the GeoCortex team which is involved in building MCP servers to enhance developer productivity . Its mission is to provide a secure, scalable MCP gateway that connects AI models and developers to specialized map-content knowledge sources while handling authentication, routing, governance, performance, and developer experience.

Skills Required

  • Bachelor's, MS or PhD in Statistics, Applied Mathematics, Computer Science, Econometrics or related discipline
  • Three to eight years related working experience (depending on degree)
  • Knowledge of data mining and analytic methods (regression, classifiers, clustering, association rules, decision trees, Bayesian networks)
  • Knowledge of Computer Vision, Deep Learning, and Point Cloud Processing algorithms
  • Proficiency with a statistical analysis package and associated scripting language (Python, R, MATLAB, SAS)
  • Programming experience with SQL, shell scripting, and Python
  • Experience interacting effectively with internal and external technical and non-technical stakeholders and executives
  • Proven ability to specify predictive modeling solutions and lead teams of data scientists and engineers
  • Development experience with NoSQL databases (e.g., DynamoDB)
  • Familiarity or experience with Big Data extraction/prep tools and frameworks (Pig, Hive, Hadoop, Spark)

What the Team is Saying

Vrushali

HERE Technologies Compensation & Benefits Highlights

  • Leave & Time Off Breadth Time-away programs are broad, featuring Volunteer Time Off and a formal Sabbatical Policy. Generous vacation/holiday allowances and discretionary PTO in the U.S. are also highlighted.
  • Flexible Benefits Flexible work is a standout, with a hybrid ‘Flexi Work Options’ model, extra work-from-home days, a home-office allowance, and the ability to work from different offices or locations. These elements provide notable work–life balance support.
  • Healthcare Strength Core health coverage is comprehensive, including medical, dental, vision, life/disability insurance, and mental-health/EAP support. Healthcare offerings are presented as part of a well-rounded total rewards package.

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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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