Sr. Data Scientist

As a Data Scientist on the Sales Analytics team you will serve as a go-to expert on data and analytics within the SMB Sales team and with key XFN partners. Team members are trusted to drive efficiency and revenue growth by enabling data-driven decisions for deep/complex problems, developing accurate reporting and forecasting models, and building scalable data infrastructure.

What you’ll do:

• Serve as an analytics expert for your partners, using data to help them make better decisions
• Work directly with sales leaders and XFN partners on critical strategic and analytical projects designed to increase revenue, sales productivity, and/or operational efficiency
• Own the end-to-end process of gathering and synthesizing data using relevant tools (e.g. SQL, Python), testing hypotheses, and developing final recommendations
• Translate analysis results into actionable insights or improvement opportunities to influence decisions made by sales leadership and the broader organization
• Work with large, complex data sets to solve complex problems, applying advanced analytical methods as needed
• Develop and automate reporting and forecasting models, iteratively build and prototype dashboards as needed to provide insights at scale
• Build and maintain business critical data pipelines and workflows, develop comprehensive knowledge of internal data structures and metrics, advise on changes where needed 

What we’re looking for:

• 3+ years of professional experience analyzing data in a fast-paced, data-driven environment
• Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistical Modeling, Forecasting, Econometrics or other related fields
• Expert-level knowledge of SQL with strong data exploration and manipulation skills
• Experience with one or more programming languages such as Python or R
• Experience with Tableau or similar data visualization tools
• Excellent communication skills and ability to explain learnings to both technical and non-technical partners
• A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
• Bachelor’s degree in a relevant field such as Statistics or equivalent experience.

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1 time per month/quarter. 

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