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Data Scientist II/ Sr Data scientist

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
India, Florida (USA), United States

Offer summary

Qualifications:

Minimum 2 years of related experience, Experience with ML / AI projects, Proficiency in Python and SQL, Expert knowledge in data mining or analytics.

Key responsabilities:

  • Design and build machine learning solutions
  • Analyze data and develop predictive models
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HERE Technologies XLarge https://www.here.com/
5001 - 10000 Employees
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Job description

What's the role?:

 

The MLData 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. 

 

  • 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
Who are you?:

You will work with researchers, data scientist, developers and architects to develop, deploy, and maintain applications in multiple environments.

  • 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.

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.

 

HERE is searching for a ML Data Scientist for our Source Fusion team in the Foundation Engineering Group. You will be part of an engineering team that is responsible primarily for developing ML Models or Derivation Algorithms for automated map making and maintenance. The effectiveness of team’s deliveries will focus and measured by scalability, maintainability, and computational efficiency. 

 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

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