Required Skills

Data Scientist

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 28th Feb 2024

JOB DETAIL

Pyspark, Dataproc, Spark, Python, GCP, Machine learning models, tensor flow, PyTorch 

- At least 8-10 years’ experience in data science models.

Below is the job description which would be ideal:

  • The Senior Data Scientist is responsible for end-to-end data science solutions for our data products.

  • Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning

  • Works closely with data engineers, analysts, ML Engineers and application developers to help build ML and statistics driven models.

  • Have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people.

  • Good at analyzing existing code, finding bugs in the existing solutions and recommending how to improve or enhance the baseline.

  • Communicate complex models and analysis in a clear and precise manner coupled with actionable conclusions and recommendations.

  • You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.

  • You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop.

  • Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU.

  • Have applied industry experiece in NLP/NLU, Forcasting and Anomaly detection solution development.

  • Built solutions that are easy to integrate into external framework or existing platforms.

  • You bring strong engineering mindset and exposure to software engineering principles, Agile methodologies.

  •  Functional knowledge of Google Cloud Platform or Azure Machine Learning Platform and their ML and compute components.

  • Experience in Retail customer behavior analysis and designing algorithms on Hadoop ecosystem at scale

  • Experience with data pipeline and workflow management tools: Airflow, Kubeflow & Kafka topic etc would be beneficial.

Company Information