Sales Operations Data Scientist

Route 92 Medical is looking for dynamic, innovative people who are inspired by our mission to improve outcomes for patients undergoing neurovascular intervention.

We welcome team members who approach their work with courage, flexibility, persistence, and a willingness to assist others. Teamwork matters here. We are committed to collaboration and finding innovative solutions that advance neurovascular intervention, establishing Route 92 Medical as one of the premier companies in the field.

PURPOSE OF JOB

The Sales Operations Data Scientist is driven by their 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. Ideally the candidate has experience with ETL.

This is an opportunity to join a growing team, and develop foundational capabilities, provide actional 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.

SKILLS FOR SUCCESS

• 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.

REQUIRED EDUCATION

• Bachelor’s degree in Computer Science, Mathematics/Statistics, Engineering, or related field. An advanced degree or relevant certification is a plus.

REQUIRED EXPERIENCE

• 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).

BENEFITS & PERKS

• Comprehensive healthcare benefits are effective day one! R92M offers generous benefit options, 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

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.