Job Title: Data Scientist
Location: New York, NY (Hybrid - 3 days per week onsite) - No Relocation
Company: BLEND360
Company Description
BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions company dedicated to fueling remarkable outcomes for our Fortune 500 clients. We operate at the forefront of analytics, data science, technology, and digital marketing, driving impactful solutions for an expanding roster of industry-leading clients.
Job Description
BLEND360 seeks a Data Scientist to support a Fortune 100 client, a global leader in healthcare and retail pharmacy services, as they innovate and develop industry-leading analytics, data, and technology platforms to help reimagine healthcare. This hands-on role is ideal for candidates passionate about leveraging data to drive strategic business solutions within a collaborative, cross-functional team environment.
Key Details:
- Location: Hybrid in Manhattan, NYC (3 days per week onsite required)
- Benefits: Full-time consultants receive Health, Vision, Dental, 401K, Life Insurance, Pretax Commuter Benefits, and a supportive team environment.
Key Responsibilities:
- Execute algorithms, deliver price recommendations, maintain bookkeeping, and generate monthly and ad-hoc reports.
- Collaborate with internal and external stakeholders to translate business needs into technical requirements.
- Prepare process documentation, including data dictionaries, file specifications, ERDs, wireframes, and pseudocode.
- Recommend improvements for data management processes, metric definitions, and evaluation methods.
- Conduct analyses within a relational database environment, including developing SQL queries, stored procedures, and functions.
- Build customer-facing dashboards by integrating data from multiple sources and systems.
- Perform verification and validation testing to ensure outputs meet functional requirements and stakeholder needs.
- Conduct in-depth analyses using healthcare claims and services data.
Qualifications
Required:
- No less than 3 years of US experience in business insights, machine learning, and deep learning frameworks.
- Proficiency in SQL, with experience in programming in Python or R.
- Strong communication skills, with the ability to translate technical concepts for non-technical audiences; experience creating communication materials (memos, slide decks, etc.).
Preferred:
- Proactive, solution-oriented mindset with a passion for exploring data to drive business impact.
- Experience with healthcare or pharmaceutical data.
- Advanced knowledge of analytics tools and languages to analyze complex data from multiple sources.
- Ability to identify roadblocks, assess potential risks, and propose solutions.
- Familiarity with Google Cloud Platform (GCP).
- Master’s degree in a quantitative field is a plus.
