What are the responsibilities and job description for the Data Scientist - Growth position at Slope?
As an early member of Slope’s team, you help drive business insights for Slope’s 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.
Why work with us?
You’ll get the chance to be an early team member at a fast-growth YC startup. We truly believe it’s 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!
We’re 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.
What you'll do
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 the 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 documentation of internal datasets; work with Data Scientists and Data Engineers to improve data quality.
Requirements
2 years experience in data analytics or data science.
Bachelor’s 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 scraping 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, you’ve 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.
Keep a pulse on the job market with advanced job matching technology.
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Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
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