Data Scientist
Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a Data Scientist to support our Fortune 100 client a global provider of healthcare and retail pharmacy services in building industry-leading analytics data and technology platforms to help reimagine health care. This position will play a critical role within a cross-functional team delivering powerful solutions.
This is a hands-on Data Scientist role requiring a combination of business/stakeholder consulting and data analysis (technical coding including using machine learning methods).
The Details:
- Location: Remote in U.S. (Must be able to work according to Eastern Time)
- Duration: Approximately a 3-month consulting role through Blend with the possibility of extension (must be able to work on Blends W2 without sponsorship)
- Benefits: We do offer benefits to our full-time consultants including Health Vision Dental 401K plan Life Insurance Pretax Commuter Benefits and an incredibly supportive team cheering you on!
What youll do:
- Generate insights build machine learning deep learning and statistical predictive models and develop analytical approaches which form the foundation for driving patient engagement tactics aimed at improving medication adherence and patient experience.
- Deploy large scale machine learning and deep learning models in a production environment.
- Effectively collaborate with Data Engineering IT and other technical teams to onboard new data sources create feature stores and optimize/automate model development and deployment processes (Github MLOps etc.).
- Perform data quality assessments remediate or curate data as necessary and perform data modeling.
- Write complex and efficient SQL code and leverage Exploratory Data Analysis techniques to develop insights from billions of transactional records at the Retail Pharmacy.
- Prepare communication material such as presentations and reports collaborate effectively with business marketing trade and other stakeholders across the organization.
- Mentor peers and lead intern projects.
Qualifications :
- 3 years of hands-on experience in generating business insights machine learning and deep learning frameworks
- Strong experience with deployment of machine learning and deep learning models in production
- Strong proficiency with Python and SQL data quality assessment and data modeling
- Strong proficiency with Github and MLOps
Preferred Qualifications:
- Strong experience with cloud-based ML frameworks (either AWS Azure or GCP)
Additional Information :
This role is not eligible for employment sponsorship and is not available on C2C.
The pay range for this role is $55.00 - $60.00 per hour. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience skills certifications training and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical dental vision 401K PTO commuter benefits spending accounts life insurance disability coverage and EAPs.
A diverse workforce is a strong workforce
To deliver growth at BLEND360 and for our clients we believe as a Talent Solutions Company we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history our growth and continues to have a profound impact on our success. We are determined to have equality in the workplace within our team and as an extension of our clients team.
BLEND360 is an equal opportunity employer.
Remote Work :
Yes
Employment Type :
Contract
Employment Type
Remote
Company Industry
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
