Data Scientist

Company Description

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.

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, mid-level Data Scientist role, requiring a combination of business/stakeholder consulting and data analysis (technical coding, including using machine learning methods).

The Details:

• Location: Hybrid in Manhattan, NYC (3 days per week onsite required)
• Duration: 15+ month consulting role with potential conversion to hire
• 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 you’ll 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

Required Qualifications:

• 3-5 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 immigration sponsorship.

The starting pay range for this role is $60.00 - $65.00 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, 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.