Job Description

Join to apply for the Data Scientist - Growth role at Slope

Join to apply for the Data Scientist - Growth role at Slope

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This range is provided by Slope. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $200,000.00/yr

As an early member of Slopes team, you help drive business insights for Slopes growing customer base and diverse profile. You will support analytics to gain insights on how we can improve our product and better serve our customers. This role requires strong data analytics skills, critical thinking, and problem-solving.

• Youll get the chance to be an early team member at a fast-growth YC startup. We truly believe its all about slope not where you start but how fast we are growing and iterating
• We are growing insanely fast and are well-funded. This is a once-in-a-lifetime opportunity to join our rocketship at an inflection point!
• Were a tight-knit, intense team, where you'll learn a ton and have ownership
• We have raised capital from some of the best VCs (Y Combinator, Union Square Ventures) and angels (Sam Altman and founders of Doordash, Dropbox, Plaid, Opendoor, Unity) in the world
• Work with seasoned second-time founders
• Help transition the massive B2B economy online and help small business owners thrive

• You will collect and mine business data, conducting analyses to generate insights that guide business planning and decision making for the leaders of the organization
• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
• Generate target lists for sales team based on both publicly available data on the web, paid data sources and proprietary data
• Translate business questions into actionable data-driven insights, clearly communicating technical concepts and business implications to varied audiences
• Develop scalable analytics processes that can provide timely support of decisions and opportunities across the company
• Create and maintain dashboards and reports of key business metrics
• Maintain documentations of internal datasets; work with Data Scientists and Data Engineers to improve data quality

• 2+ years experience in data analytics or data science
• Bachelors in Quantitative Finance, Statistics, Economics, Mathematics or related fields
• Strong skill set with Python (pandas, numpy, requests, etc), SQL (Postgres and Snowflake), Excel and data visualization (Matplotlib, Plotly etc); experience with building statistical models is a plus; web scrapping and hacker mindset is a plus
• Experience with consumer / small business lending and B2B payments is a strong plus
• Excellent written and verbal communication skills
• Attention to detail, strong work ethic, and a relentless drive; enjoy a fast-paced and results-driven culture
• Excel and enjoy a collaborative and in-person workplace
• Comfortable with handling ambiguity and creating processes from scratch. We are growing fast and still learning
• A demonstrated ability to get stuff done. In an ideal world, youve worked in a fast-growing company and know what we should be doing today, in one year, and in two years
• Self-directed and able to work with minimal supervision
• Iterative mindset

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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