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Data Science

Job in Franklin Lakes, Bergen County, New Jersey, 07417, USA
Listing for: MillenniumSoft Inc
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Client: Medical Devices Company

Employment Type: Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)

Location: Franklin Lakes, NJ

Hybrid: Hybrid to remote 3 days on site

Duration: 4 Months

Total Hours/week: 40.00

Education

Prefer a degree in data science, statistics, applied analytics, computer science, engineering, or a related discipline.

Job Description

We are looking for a Data Scientist who is passionate about data and analysis tools, has the rigor needed to solve problems, and demonstrates curiosity and enthusiasm in adopting new technologies to innovate. The person will report to a Senior Principal Data Scientist in HEOR‑RWE and focus on building interactive applications on Amazon Web Services (AWS) Cloud, automating data pipelines, and facilitating training.

Responsibilities
  • In your role as a Data Science temp, you will use AWS Cloud cutting-edge technology to design and manipulate heterogeneous data sets, and build or enhance applications in the areas listed below:
  • Manipulate and merge data from different sources using programming language R or Python.
  • Create and improve efficiency of data pipelines on AWS Cloud.
  • Build data visualization dashboards and add features and functionalities using AWS Quick Sight.
  • Gain experience working on healthcare clinical trials development industry and develop data‑driven solutions to increase clinical research efficiency.
  • Work closely with other members of our Data Science team to deliver value to our business partners.
Education and Qualifications
  • Prefer a degree in data science, statistics, applied analytics, computer science, engineering, or a related discipline.
  • Curiosity and enthusiasm about data-related techniques.
  • Exposure to AWS Cloud technologies.
  • Ability to program in Python, R or similar languages.
  • Proficiency in writing SQL queries to join tables and manipulate data.
  • Test and assess the quality of new tools.
  • Eager to learn a new set of tools in AWS Cloud and work on challenging problems.
  • Strong verbal and written communication and presentation skills.
  • Able to work with internal clients with minimal supervision.
Language Requirement
  • Fluent written and spoken English
Work Environment
  • Hybrid
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