Sr Data Scientist

United States Digital Space LLC; Maharashtra; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

HERE is seeking a Senior Data Scientist to invent and deploy ML and analytics for map-making. You’ll collaborate with researchers, developers, and IT to build scalable solutions across environments and drive data-driven decisions for Core Map projects.

You will lead predictive modeling efforts, explore data mining techniques, and apply computer vision and deep learning to map-related data, with a focus on impact and innovation.

Qualifications

• PhD/MS/BS with emphasis on statistics, data mining, ML, or optimization.
• 3–8 years of related experience depending on qualification.
• Expert knowledge in data mining, regression, classifiers, clustering, decision trees.
• Proficiency with Python/R, SQL, and big-data toolchains (Hadoop/Spark).

Responsibilities

• Design and build ML and data analytics solutions for map-making.
• Develop, deploy, and maintain ML models across environments.
• Lead predictive modeling teams and coordinate data science projects.
• Collaborate with researchers, developers, and architects to deliver solutions.

Skills

Statistics

Machine Learning

Python

SQL

Big Data

Spark

Hadoop

NoSQL (DynamoDB)

Computer Vision

Deep Learning

Education

Bachelor's / MS / PhD in Statistics / CS / Math / Econometrics

Tools

Pig

Hive

Python

R

DynamoDB

SAS

Job description

What's the role?

As a Senior Data Scientist in the GeoCortex team you would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. You will collaborate with an energetic, dedicated team working 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… 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 the 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?

The company 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.

In this 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.