Senior Data Scientist

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Come join the Customer Success Data and Analytics team as a Senior Data Scientist! This role focuses on scaling and supporting Full Service WIP strategy and outreach. In addition, this role will be focused on optimizing every FS customer’s journey to adopting the right outreach for them in service to the customer benefit. This is an ecosystem support role, where you will work cross-functionally with product, operations, and engineering teams to drive customer conversion and increase customer lifetime value.

The ideal candidate will be responsible for driving targets, coordinating with a team of peer analysts in developing dashboards, contributing to and utilizing GenAI, supporting launch of multiple outreaches, and providing data-driven insights to improve customer experience. As a senior member of the analytics team, you should have a strong track record of combining advanced analytics skills, knowledge of product development and customer experience including email outreach, experimentation, and business acumen.

What you'll bring

• 4+ years of experience in data science, analytics, or a related field.
• Proven ability to extract insights from data and communicate compelling data-driven stories that drive business impact.
• Strong SQL skills for data extraction and manipulation.
• Expertise in data visualization tools (e.g., Tableau, Qlik).
• Experience with Python or R for advanced analytics, modeling, and automation is a plus.
• Familiarity with big data tools (e.g., Snowflake, Spark, Databricks) is a plus.
• Machine learning and Generative AI experience is a plus.
• Ability to manage multiple projects simultaneously in a fast-paced environment.
• Strong problem-solving and quantitative thinking skills.
• Passion for mentorship and developing talent within the team.
• Proactive and growth-oriented mindset—you identify opportunities for innovation rather than just responding to problems.

Responsibilities

• Drive strategic thinking and cross-functional alignment around data-driven approaches to optimize product and marketing efforts based on customer segments, lifecycle stages, and other critical customer attributes.
• Lead deep exploration of customer data and spearhead customer segmentation, LTV modeling, and other actionable analysis/modeling.
• Develop experimentation plans with product and marketing teams to measure and optimize data-driven strategies.
• Leverage machine learning, predictive analytics, and AI-driven solutions to improve decision-making.
• Optimize and manage data pipelines for scalable and efficient reporting.
• Partner with stakeholders to understand users and create a unified view of the customer for better decision-making on acquisition, retention, segmentation, and engagement.
• Collaborate with business leaders to define strategies, investments, and priorities.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development