
Lead Data Scientist (ML, Agentic AI, LLM)
- Mumbai, Maharashtra
- Permanent
- Full-time
- • 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
- 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-maing 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.
- • 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: computational statistics/science/engineering, data mining, machine learning, and optimization.
- • Minimum of 8+ years related professional experience.
- • 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 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 and Scala
- • Development experience with Docker
- • Development experience with GIS data
- • Development experience with NoSQL (i.e. DynamoDB)