Lead Data Scientist

Posted 4 Days Ago
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Mumbai, Maharashtra
Senior level
Information Technology • Logistics • Software
We make a unified map designed for every moving vehicle
The Role
The Lead Data Scientist will design and build machine learning solutions, engage in research activities related to map feature inference, and deliver NLP/Generative AI solutions for high-impact projects. Responsibilities include algorithm development, software contributions in a scrum team, and collaborating with internal and external teams.
Summary Generated by Built In

What's the role?• You will help design and build the next iteration of Here Places in Foundation Engineering employing machine learning.
You will maintain up-to-date knowledge of research activities in the general fields of machine learning, specifically for map feature inference.
Independently deliver innovative NLP/Gen AI solutions to solve some of the high impact / value projects.
Utilize stochastic algorithms to solve and implement complex attribute engineering problems for Machine learning products.
Participate in both algorithm and software developments as a part of a scrum team, and contribute artifacts (software, white-paper, datasets) for project reviews and demos.
Collaborate with internal and external team members (researchers and engineers) on expertly implementing the new features to the products or enhancing the existing features. With end-to-tend aspects like developing, testing, and deploying.
Who are you?
Engineering or MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following:• 7 + years of experience in Data Science field.• Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.• Strong experience in natural language processing (NLP), Generative AI and its applications.• Solid coding level in programming languages, like Python, R, and C++, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
Preferred Skills:
Development experience on running ML models on AWS services such as EC2, lambda etc.
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

C++
Python
R

What the Team is Saying

Alok
Katherine
Vrushali
The Company
HQ: Amsterdam
9,000 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: Not Specified
HQAmsterdam, NL
JP
TH
SG
Bengaluru, IN
Berlin, DE
Burlington, MA
Chicago, IL
Eindhoven, NL
Frankfurt am Main, DE
Gurgaon, IN
Hanyang, KR
Kraków, PL
León, MX
London, GB
Melbourne, Melbourne
Mumbai, IN
Navi Mumbai, IN
Paris, FR
São Paulo, BR
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