Sr Data Scientist

Accountabilities:

In this role, you will combine technical data science expertise with consultative and customer-facing responsibilities to help teams successfully adopt and apply modern AI and machine learning capabilities.

• Help users discover and master the platform through training sessions, office hours, demonstrations, and ongoing consultative support.
• Analyze and investigate data science and machine learning applications across different industries, business contexts, and use cases.
• Provide strategic guidance to customers and account teams to identify opportunities and support successful project outcomes.
• Scope, design, and co-develop production-level data science projects alongside customers.
• Support customers throughout their journey, from initial discovery and integration through deployment and ongoing adoption.
• Explain technical concepts and data science methodologies to both technical and non-technical stakeholders.
• Mentor and educate customer data scientists and other team members, contributing to their professional development and technical growth.
• Stay current with emerging technologies and continuously expand expertise across data science, machine learning, and AI.

Requirements:

The ideal candidate combines strong hands-on data science experience with curiosity, communication skills, and a genuine interest in teaching and collaborating with customers.

• 5+ years of professional coding experience using Python, R, and/or SQL.
• 5+ years of experience building and applying machine learning models.
• Strong understanding of underlying data systems and modern platform architectures.
• Familiarity with technologies such as cloud architectures, Kubernetes, Spark, and SQL.
• Strong curiosity and willingness to learn new technical skills and technologies.
• Excellent communication skills, with the ability to explain complex technical subjects clearly to both technical and non-technical audiences.
• Empathy, collaboration skills, and enthusiasm for sharing knowledge with colleagues, customers, and the broader data science community.
• Experience in consulting and/or customer-facing data science roles is a strong advantage.
• Experience with data engineering or MLOps is highly valued.
• Experience developing web applications using JavaScript, RShiny, or Dash is a plus.
• Experience building APIs is a plus.
• Familiarity with enterprise data science tools is beneficial.
• Passion for teaching, presenting, or public speaking is an advantage.

Benefits:

• US national base salary range of $210,000–$220,000 USD.
• Final compensation determined based on factors including geographic location, internal equity, education, skills, experience, and training.
• Eligibility for commission or other variable compensation depending on the role.
• Stock options.
• Medical, dental, and vision insurance plans.
• Flexible spending accounts.
• Pre-tax commuter benefits.
• 401(k) company match.
• Paid vacation and sick leave.
• Paid parental leave.
• Employer-paid disability coverage.
• Additional health and wellbeing perks and benefits.
• Remote work opportunity.