Data Scientist

We are Looking for just Immediate joiner. (If you can join in a week then only apply)

Work Mode : Hybrid

Experience : 5+ years

Mandatory Institute-IIT ,IIM ,and IIIT.

About the Role

Mandate skills : Python, RAG, LLM, NLP, AWS, MlOps, Machine Learning, Deep Learning, Generative AI

Responsibilities :

Help design and build the next iteration of process automation in 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 the areas of data mining, machine learning, statistics, and predictive analysis and modeling.

Qualifications :

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 5 years related professional experience.

Required Skills :

Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. We 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 MLOps will be preferred.

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.

Preferred Skills :

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 architecture.