Senior Data Scientist

Summary

Join Lattice as a Senior Data Scientist and contribute to a wide array of data-related projects, from designing metrics and generating reports to conducting analyses that inform crucial business decisions. Collaborate with stakeholders across Engineering, Product, and Design teams, leveraging data to provide insights and recommendations on product success metrics and the product roadmap. Partner with the product team to enhance success metrics and guide roadmapping decisions. Create repeatable, standardized analytics to drive strategic decision-making. Increase stakeholder data fluency through collaboration and upskilling initiatives. Model data into analytics-ready tables for business use. Advise teams on event tracking, ensuring standardization across the Lattice platform. Conduct end-to-end projects to uncover insights and drive product engagement. Own and collaborate on a quarterly roadmap. This role offers a competitive salary and a comprehensive benefits package.

Requirements

• 2+ years of experience working in Data Science or Analytics, partnered with Product teams
• Experience at a B2B SaaS company
• Ability to distill ambiguous, open-ended questions into workable problems
• A track record of collaboration with stakeholders
• Expertise in facets of data science including but not limited to metric design, artificial intelligence, experimentation, and data analysis
• History of successfully completing projects on time and within scope
• Impact driven by a business acumen which allows you to partner proactively rather than work reactively
• Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions
• Deep knowledge of SQL
• Knowledge of Python
• Experience with a BI tool such as Looker

Responsibilities

• Partner with the product team to build on their success metrics and inform their roadmapping decisions
• Collaborate with stakeholders to create repeatable, standardized analytics that drive strategy and decision making processes
• Increase stakeholder use of data and data fluency through partnership and upskilling
• Partner with product managers, engineers, and designers to impact Lattice’s product strategy in the AI space
• Model first- and third-party data into analytics-ready tables that can be used across the business
• Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
• Conduct end-to-end projects to uncover insights and drive product engagement
• Own and collaborate on your own quarterly roadmap

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life, AD&D, and Disability Insurance
• Emergency Weather Support
• Wellness Apps
• Paid Parental Leave
• Paid Time off inclusive of holidays and sick time
• Commuter & Parking Accounts
• Lunches in the Office
• Internet and Phone Stipend
• One time WFH Office Set-Up Stipend
• 401(k) retirement plan
• Financial Planning
• Learning & Development Budget
• Sabbatical Program
• Invest in Your People Fund