Data Scientist

Medical Depot•Port Washington, NY

7d•$95,000 - $125,000

About The Position

Drive Medical has become a leading manufacturer of medical products with a strong and consistent track record of growth achieved both organically and through acquisitions. We are proud of our high-quality, diverse product portfolio, channel footprint and global operating scale. Our products are sold into the homecare, long-term care, retail, and e-commerce channels in more than 100 countries around the world. Leading the World with Innovative Healthcare Solutions that Enhance Lives Summary (Major Purpose of the Role): Position Summary The Sales Data Scientist will use data analytics and statistical techniques to generate insights that support sales performance and revenue growth. This role focuses on building and improving reporting tools, analyzing data, and providing actionable recommendations to help the sales organization make informed decisions.

Requirements

2-4 years of experience in a data analytics or sales operations role.
Strong Excel skills (pivot tables, formulas, data analysis).
Bachelor s degree in Mathematics, Statistics, Economics, Data Science, or related field-or equivalent experience.

Nice To Haves

Familiarity with Python, R, SQL, and data visualization tools (e.g., Power BI).
Experience leveraging AI/ML tools and platforms (e.g., predictive analytics, natural language processing, automated insights).
Experience with CRM systems (Salesforce) and marketing automation platforms.
Strong analytical and problem-solving skills with attention to detail.
Ability to communicate insights clearly to non-technical audiences.
Collaborative mindset and willingness to learn new tools and techniques.

Responsibilities

Analyze sales data to identify trends, patterns, and opportunities.
Create and maintain dashboards and reports for Sales and leadership teams.
Support root-cause analysis and process improvement initiatives.
Provide data-driven recommendations for pricing, discount strategies, and sales funnel optimization.
Assist in segmentation analysis to identify key customer groups and markets.
Work closely with Sales, Marketing, Finance, and Product teams to align analytics with business needs.
Present findings in clear, actionable formats to stakeholders.
Ensure data accuracy and integrity across reporting tools.
Help automate reporting processes for efficiency and scalability.