Data Science - Onsite
MILLENNIUMSOFT
Position : Data Science
Location : Franklin Lakes, NJ
Duration : 4 Months
Total Hours/week : 40.00
Client : Medical Devices Company
Employment Type : Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)
Hybrid to remote 3 days on site
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 Science who is passionate about data and analysis tools, has the rigor needed to solve problems, and demonstrates curiosity and enthusiasm adopting new technologies to innovate.
- The person will report to Senior Principal Data Scientist in HEOR-RWE and be focusing on building interactive applications on Amazon Web Services (AWS) Cloud, automating data pipeline, and facilitating training.
Responsibilities:
- In your role as a Data Science temp, you will use AWS Cloud cutting-edge technology to design/manipulate heterogenous 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 QuickSight.
- You will gain experiences working on healthcare clinical trials development industry, develop data driven solutions to increase clinical research efficiency.
- You will be working 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
Vacancy posted 1 day ago
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