Data Scientist

1. About Our Client:

The organization operates in the commerce and financial services sector, addressing challenges faced by sellers due to disparate and outdated products. It provides integrated, omnichannel solutions that enable sellers to sell online, manage inventory, offer flexible payment options, book appointments, engage customers, and manage staffing and payroll. The company embeds financial tools at the point of sale, allowing merchants to access business loans and manage cash flow efficiently. Its services support a wide range of sellers, from small startups to large enterprise businesses, helping them grow and compete effectively in the market.

2. About the Opportunity:

The Data Scientist role is situated within the Sales Data Science team, focusing on driving growth through data-driven insights in the sales function. This position involves owning a key subdomain of sales performance, providing trusted analytics to sales leadership, solving complex problems using data science and AI, and enhancing the effectiveness of sales operations. The role balances leadership in analytics with hands-on data science, contributing to strategic decisions and operational improvements.

3. Responsibilities:

• Monitor and measure performance metrics relevant to the sales subdomain, reporting and presenting findings to sales leadership.

• Investigate sales performance issues by analyzing key performance indicators and designing experiments to identify improvement opportunities.

• Manage large, ambiguous projects independently, including problem scoping, data acquisition, critical analysis, and stakeholder communication.

• Maintain and develop the subdomain’s data infrastructure, collaborating with peers on metrics, attribution, and cross-functional analyses.

• Translate data insights into business context, challenging assumptions with evidence and building trust among senior stakeholders.

• Utilize AI tools and agents to streamline workflows and address complex sales problems.

• Develop dashboards and datasets to empower the sales organization to conduct self-service analytics.

• Enhance the team’s analytical rigor, communication standards, and AI-driven methodologies.

4. Requirements:

• Minimum of 8 years relevant experience with a Bachelor’s degree, or 6 years with a Master’s, or 3 years with a PhD, or equivalent.

• Proficient in advanced SQL and Python, capable of managing the full data stack from ETL to visualization.

• Strong statistical knowledge including experiment design, causal inference, funnel and cohort analysis, and forecasting.

• Proven ability to lead large projects independently and gain leadership trust on critical data matters.

• Excellent critical thinking skills to balance speed and thoroughness in high-stakes analysis.

• Exceptional communication skills for presenting to executives and translating technical details for diverse audiences.

• Enthusiasm for applying AI in data science and curiosity about its potential.

• Interest in unfamiliar data and sales operations, with the ability to collaborate empathetically with frontline personnel.

Nice to have:

• Experience supporting sales, go-to-market, or revenue teams.

• Familiarity with fintech, payments, or small and medium business merchant environments.

5. Pay Range and Compensation Package:

• Pay ranges based on location and experience, with zones from $168,300 to $297,000 as a reference. Specific pay depends on skills, qualifications, location, and market conditions.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.