Senior Data Scientist at Blend360

Columbia, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Time-Series Forecasting, Optimization, Reinforcement Learning, Python, Databricks, Vertex AI, Snowflake, SQL, Healthcare, Pharmaceutical Supply Chain, Problem-Solving, Communication

Industry

Professional Services

Description

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Job Description We are seeking a skilled and versatile Data Scientist to join us as a short-term contractor with the potential to be hired full time. In this role, you’ll collaborate with practice leaders, engineers, and cross-functional stakeholders to solve complex business challenges using data science and AI-driven approaches. You’ll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge solutions. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for Rx procurement and refill planning. Lead projects involving time-series forecasting, optimization, and reinforcement learning for large-scale healthcare operations. Apply expertise in Python, Databricks, Vertex AI, Snowflake, and SQL to build scalable solutions. Collaborate with cross-functional teams to translate business problems into data-driven solutions. Qualifications Master’s or PhD in Data Science, Computer Science, Applied Mathematics, Operations Research, or related field. 2+ years of hands-on experience in applied machine learning and advanced analytics. Strong background in time-series modeling, optimization, and reinforcement learning. Proficiency in Python, SQL, Databricks, and Snowflake; experience with Vertex AI or equivalent cloud ML platforms is a plus. Solid understanding of healthcare or pharmaceutical supply chain processes preferred. Excellent problem-solving and communication skills. Specialty Rx Procurement - Machine Learning, Optimization Additional Information This is a contract role through the end of the year with the potential to be hired full time if the project is extended. No C2C please.

Responsibilities

Design, develop, and deploy machine learning and deep learning models for Rx procurement and refill planning. Lead projects involving time-series forecasting, optimization, and reinforcement learning for large-scale healthcare operations.