Data Scientist

Innova Solutions
Plainsboro, NJ Contractor
POSTED ON 7/10/2024 CLOSED ON 8/9/2024

What are the responsibilities and job description for the Data Scientist position at Innova Solutions?

HEALTHCARE & PHARMA DATA SCIENTIST

Hybrid in Plainsboro, NJ

ONLY W2 CANDIDATES

 

Immediate opening in Plainsboro, NJ with one of the largest Pharmaceuticals & Biotech corporations in the world.


PLEASE REVIEW REQUIREMENTS CAREFULLY:

·       Must reside within commuting distance of Plainsboro, NJ and will be required to work 3x a week onsite, 2x a week remote

·       Experience with Dataiku and PySpark is a HUGE a plus

·       Must have very strong Python experience

·       Strong data analysis, data science experience within Healthcare, Clinical and/or Pharmaceutical is required

·       Real World Data experience is a must!

·       Strong Machine Learning experience is required

·       Must be able to work independently

·       Bachelor’s Degree in relevant field (Computer Science, Data Science, Applied Mathematics, Statistics, Cognitive Science, Artificial Intelligence, Business Intelligence, Operations Research, Engineering)


 

ADDITIONAL DETAILS:

·       Location: Plainsboro, NJ

·       Duration: 6 Months

·       Hourly Pay: $69.00/hr

·       Description:


• Undertaking data collection, preprocessing and analysis with stakeholders to understand and define business needs.

• Building appropriate modelling techniques to provide analytical solutions to business problems

• Presenting information using data visualization techniques

• Implement and validate predictive and prescriptive models, create and maintain statistical models with a focus on big data.

• Incorporate a variety of statistical and machine learning techniques in your projects.

• Write programs to cleanse and integrate data in an efficient and reusable manner.

• Use leading edge and open-source tools such as Dataiku, PySpark,

• Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.

  • • Evaluate modelling results and communicate the results to technical and non-technical audiences
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