Data Scientist II

Posted Yesterday
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Mumbai, Maharashtra
Junior
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
We make a unified map designed for every moving vehicle
The Role
The Data Scientist II will develop machine learning solutions and data analytics for map-making projects. Responsibilities include designing automation processes, analyzing data, building statistical models, and collaborating with cross-functional teams. The role focuses on scalable big data infrastructure and continuous delivery.
Summary Generated by Built In

What's the role?
HERE is searching for a Data Scientist for our Source Fusion team in the Foundation Engineering Development Group. You will be part of an engineering team that works closely with Data Scientists to develop Data extraction, Data visualization, Data labelling and Data validation software with a focus on continuous delivery. In this team, you will have opportunity to work on full stack development technologies and is an excellent opportunity to work with an energetic and dedicated team of software engineers and computer vision/machine learning experts on highly visible, technology-driven problems with a direct connection to the success of the company. The effectiveness of team's deliveries will focus and measured by scalability, maintainability, and computational efficiency.
The Data Scientist in this team 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 and architects to develop, deploy, and maintain applications in multiple environments.
What You'll Get:

  • Challenging problems to solve
  • Opportunities to learn cool new things
  • Work that makes a difference in the world
  • Freedom to decide how to perform your work
  • Variety in the types of projects
  • Feedback so you will know how well you are doing
  • Collaborative, Supportive Colleagues


Responsibilities:

  • 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 in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
  • Function as a predictive modeling or application team member on Core Map projects.
  • Analyzing data, designing new algorithms and models
  • Developing and supporting map automation pipelines
  • Building and scaling the automation deployments in cloud environments
  • Collaborating in cross-functional team of data scientists, developers, devops and quality engineers


Requirements:

  • BS or MS in a discipline such as Statistics, Applied Mathematics, Computer Science, or related field with experience in computational statistics/ science/ engineering, data mining, machine learning, and optimization
  • Minimum of 2 years related, professional experience
  • Experience with ML / AI related projects
  • Experience working in an Agile development environment
  • Experience in E2E software development lifecycle - from requirement gathering to deployments
  • 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 Deep Learning and Point Cloud Processing algorithms is a big bonus.
  • Proficiency with a statistical analysis package and associated scripting language such as Python.
  • Programming experience with SQL, shell script, Python, etc.


Preferred Qualifications:

  • Development experience with Java and Scala
  • Development experience with Docker
  • Development experience with GIS data
  • Development experience with NoSQL (i.e. DynamoDB)
  • Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architectures


Who are you?
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.

Top Skills

Python
SQL

What the Team is Saying

Alok
Katherine
Vrushali
The Company
HQ: Amsterdam
6,000 Employees
Hybrid Workplace
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 Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
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