Data Science Partner II

Description

The company runs a commerce intelligence platform that helps businesses turn shopper signals into commerce results and uses AI decisioning to make shopper experiences more relevant.

The company has about 3,600 employees who work from offices worldwide or from home.

This role sits with the team that manages measurement for the company's largest clients in the Americas, focusing on incrementality testing and A/B tests.

Responsibilities

• Work with the company's biggest Americas clients to plan, run, analyze and present controlled incrementality tests and other A/B tests.
• Write Python to automate test analysis, produce scalable insights and improve the company's A/B testing tools.
• Resolve urgent, high-impact problems quickly.
• Serve as the measurement expert, share best practices and train internal teams on the company's approach.
• Keep a detailed understanding of the company's incrementality offering and the competitive ad tech market.
• Shape the incrementality product roadmap by passing client needs and feedback to product and R&D teams.

Requirements

• At least 5 years of full-time experience in analytics-related work.
• A bachelor's degree or equivalent practical experience.
• Native-level English.
• Demonstrated experience with statistics, A/B testing and experimental design.
• Strong analytical and problem-solving skills, including manipulating data sets to find patterns and turn them into actionable strategies.
• Skill at telling data stories and building presentations for both technical and non-technical audiences.
• Proficiency in SQL, Python and Tableau to automate analyses and build clear visualizations.
• Ability to manage clients and stakeholders and work with cross-functional teams.
• Comfort working with ambiguity and choosing the right analytics technique for a problem.
• Willingness to try new tools, including AI, to boost personal productivity, streamline analysis and support your own learning.
• A team player who works well in a collaborative, inclusive environment that values learning.
• Proactive and organized, with the ability to set priorities well.

Conditions

Hybrid work model that combines time at home with time in the office.

The company values equal opportunity and bases hiring decisions only on skills, qualifications and business needs.

A US base salary range per year is listed for this role, but the figures are not shown in the posting.

Benefits

• Learning, mentorship and career development programs.
• Health benefits, wellness perks and mental health support.
• A diverse, inclusive and globally connected team.
• Competitive salary with performance-based rewards, family-friendly policies, and possible equity depending on role and level.
• Benefits can differ by country and by the type of employment.
• In the US, certain roles may qualify for quarterly or annual bonuses and restricted stock units.
• US employees get healthcare, dental and vision insurance, a 401(k) with company match, short- and long-term disability cover, life insurance, family-forming and wellness benefits, Flexible Work financial support, learning opportunities, and generous annual leave including volunteer time off and summer vacation days.