Job Description :
Role: Data Scientist
Duration: Long Term Contract
Location: Parsippany, NJ
Job Description: Below

Unlock Your Career Potential: Technology at ADP. Do you enjoy exploring, identifying and inspiring the future of the workplace and the lives of millions of people? At ADP, the world''s largest B2B cloud company, our Technology team is comprised of brilliant engineers, architects, data scientists, infrastructure experts, and more. We were first in our industry to offer a SaaS solution and continue to push the envelope utilizing the latest operating platforms to deliver the highly automated, intelligent and predictive solutions that are redefining what is possible. Named one of Forbes'' "Most Innovative Companies" and one of Computerworld''s "100 Best Places to Work in IT", we are committed to leading the way in product development and research, empowering you to bring to life the latest innovations that will forever change the way businesses manage their most vital asset, employees.

In this role you will join the exciting ADP Data Science team working on the latest Big Data technologies (Spark, Kafka, EMR, Glue) and lay out the application framework and infrastructure foundation using your Data Engineering & Data Science skills.


RESPONSIBILITIES:
Work with other team members to understand the business challenges and propose the best technical solutions
Help design the best Data Lake platform to support the capacity and performance
Design and implement data processing and machine learning pipelines.
Performance tuning of Spark jobs.
Apply data science to create analytics in Jupyter notebooks.
Visualize data with AWS Quicksight, Looker.

QUALIFICATIONS REQUIRED
Bachelor or Master’s degree in Computer Science preferred.
Strong hands on experience with Apache Spark, Columnar DB, Hadoop
Expert knowledge on Python development
Solid experience with PySpark, Spark SQL and various python libraries for data science.
Proficiency with AWS cloud.
Experience with EMR, Athena, Glue, Step Functions, Sagemaker.

PREFERRED QUALIFICATIONS: Preference will be given to candidates who have the following:
Development experience with Git, Gradle, Jenkins.
Experience with any workflow/orchestration framework like Step Functions or Airflow.
Strong commitment to excellence and personal and professional growth.
Demonstrated outstanding academic achievement and an aptitude for analytics.