Data Scientist Ii

1 day ago


Mumbai Maharashtra, India HERE Technologies Full time

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.

**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.
- 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.


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