Sales Operations Data Scientist

About the Company

Route 92 Medical is on a mission to improve outcomes for patients undergoing neurovascular intervention. At the core is a reconsidered procedural approach, cutting-edge engineering, and innovative product design. Our portfolio targets the most significant challenges in neurointerventional care to deliver meaningful solutions. The company was founded by physicians developing thoughtful product solutions in collaboration with the world’s leading clinicians, who focus on improving procedural and patient outcomes.

https://www.route92medical.com/

About the Role

The Sales Operations Data Scientist is driven by curiosity, looking beyond the "what" to determine the "why" to predict future behavior and identify opportunities for accelerating business. Through cross-functional partnership, the Data Scientist will determine the questions to ask and how to deliver the analysis in an easily digestible, actionable way. The ideal candidate will have strong expertise in data extraction, data cleaning, statistics, modeling, and data visualization. This is an opportunity to join a growing team, develop foundational capabilities, provide actionable business insights, and own projects end-to-end. A growth mindset with a passion for expanding your skills, building robust, scalable, and efficient data solutions is a must. This role will be 100% remote in the US, supporting US core business hours.

Responsibilities

• Define, develop, and maintain the KPIs that measure product health, user engagement, and marketplace performance.
• Analyze customer behavior, product usage patterns, and marketplace dynamics to identify opportunities and risks.
• Translate complex data into actionable recommendations for product and leadership teams.
• Partner with cross-functional colleagues to optimize data accessibility and quality to support high-quality growth.
• Help foster a culture of data-driven decision-making and continuous improvement within the commercial team.
• Ensure the integrity and accuracy of the data used for analysis and reporting.
• Develop and automate recurring reporting processes, ensuring accuracy and timeliness.
• Collect, clean, and analyze large datasets from internal and external sources.
• Monitor and optimize data architecture and quality with a continuous focus on process improvement.
• Implement data governance, security, and quality controls across all data pipelines.

Requirements

• Bachelor’s degree in Computer Science, Mathematics/Statistics, Engineering, or related field. An advanced degree or relevant certification is a plus.
• Minimum of 8 years of experience in Data Scientist or related field (analytics).
• Experience working with cross-functional teams, particularly in marketing, finance, HR, and sales.
• Familiarity with the medical device or healthcare industry is strongly preferred but not required.
• Proficiency in SQL and at least one high-level programming language (e.g., Python, Scala, Java).

Skills

• Curiosity has you looking for answers to questions no one is yet asking.
• A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.
• Strong experience in product and customer analytics or a similar data-focused role, with a proven ability to impact strategy and decision-making through data.
• Proficiency in statistical analysis using commonly available languages (e.g., R, Python) including predictive modeling.
• Experience in ETL and Azure cloud server experience and/or Microsoft Fabric is a plus.
• Experience with data visualization tools such as Power BI is preferred.
• Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
• Excellent communication and teamwork abilities.

Benefits

• Comprehensive healthcare benefits effective day one, including Medical, Dental, Vision, Life Insurance, FSA, HSA, Short-term and Long-term disability, Critical Illness Insurance, and Accident Insurance.
• Competitive base pay plus corporate bonus program.
• Generous paid time off and 16 paid holidays, including a company-wide summer recharge week in July.
• 12 weeks of paid parental leave for employees after 90 days of employment.
• Monthly cell phone stipend.

Pay

The actual base pay is dependent on several factors, including, but not limited to, work experience, market data, skills, geographic location, and business needs. The base pay range is subject to change and may be modified in the future. This role may also be eligible for equity.