Data Scientist

pave.dev · United States

Pay

$170k–250k

Setting

Remote

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DiscoverFind JobsFor Recruiters Log InSign Up Pave Pave delivers AI-powered Cashflow Analytics for consumers and SMB credit risk teams B2B Early Stage Top Investors Save Apply Now Data Scientist $170k – $250k • 0.1% – 0.5% | Remote ( Canada • North America +3 ) |3 years of exp |Full Time Reposted: 11 months ago Hires remotely in Canada - North America - South America - United States - Central America Remote Work Policy Remote only Company Location Los Altos Visa Sponsorship Not Available Preferred Timezones Pacific Time, Mountain Time, Central Time, Eastern Time Collaboration Hours 8:00 AM - 6:00 PM Pacific Time Relocation Allowed Skills Data Analysis SQL Communication Skills Credit Analysis Numpy/Scipy/Pandas/Scikit-learn Machine Learning Data Science Python Hiring contact Alain Shema Director of Data Science About the job What We Do Pavefi.com helps consumer and SMB credit risk teams increase approvals through AI-powered cashflow analytics. 100 million+ US consumers and businesses are financially underserved, simply because their data is not recognized by the traditional financial system. We solve this by transforming transaction data, loan performance outcomes, and credit reports into Cashflow-driven Attributes and Scores, enabling increased financial access to new customer segments without increasing risk. Our mission is to build a future where every person and business has access to equitable credit solutions by creating a new standard of Cashflow-driven Analytics. Pave is backed by Better Tomorrow, Ark Invest, Alumni Ventures, and other top funds and angels from Coinbase, Chime, SoFi, CashApp, and Plaid. The Role Reporting directly to the Director of Data Science, you will play a crucial role in driving customer adoption by producing models that demonstrate the impact of our cashflow scores and attributes on customers’ bottom lines. Your analytical skills, coupled with experience in building highly-performing statistical models and knowledge of credit risk in the US, will be instrumental in improving our data products and in influencing our product roadmap. Responsibilities This role involves engaging with customers during the presales phase to demonstrate the value and effectiveness of our scores and attributes through building custom models. Therefore, the ideal candidate will: Analyze the impact of Pave’s scores and attributes on customer performance metrics, particularly focusing on increasing approvals and reducing defaults, and present these insights directly to clients. Design, implement, and evaluate experiments to test the effectiveness of new attributes and models. Stay up-to-date with industry best practices and advancements in data science, AI and ML, and credit risk analytics tools, and technologies. Help ensure all models, attributes, and analyses are compliant with fair lending practices, translating these considerations into the attributes and analyses we conduct for credit risk. Requirements Strong analytical and data exploratory skills with the ability to ask the right questions, interpret data and provide actionable insights. Ability to clearly communicate findings and insights to both technical and non-technical stakeholders, including external partners and customers. Demonstrated experience of going from data analysis to building highly performing ML models, including feature engineering and measuring performance. Solid understanding of machine learning libraries like scikit-learn, and tree ensemble packages like XGBoost. Strong problem-solving skills and a detail-oriented mindset. Work experience in US fintech or in the financial industry. Apply Now About the company Pave Pave delivers AI-powered Cashflow Analytics for consumers and SMB credit risk teams 11-50 Employees Los Altos 11-50 Consumer Financial Services Analytics Infrastructure Risk Management Consumer Lending Fin Tech Artificial Intelligence / Machine Learning B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning B2B Early Stage Top Investors Employees joined from Facebook UC Davis Medical Center Morgan Stanley GraphScience #include at Davis Learn more about Pave Funding AMOUNT RAISED $6.8M FUNDED OVER 1 round Round S $6800000 Seed - Sep 2023 View Pave's funding history Perks Healthcare benefits 401k Parental leave Equity benefits Work from home perks Flexibility to work from home or remote office and create a schedule that optimizes for your productivity, health, family, and wellbeing. Explore Pave's perks and benefits Founders Raymond Rouf CEO and Co-founder • 6 years San Francisco Bay Area View the team Similar Jobs Albeado Breakthrough causal AI predictions, optimizations and interventions - in real time Junior Data Scientist $75k – $110k • 0.75% – 1.0% Apply Composable Analytics Intelligent DataOps Big Data Software Engineer $50k – $130k • 0.0% – 0.25% Apply GVOS An Edge Cloud for Autonomous Driving Python Developer $30k – $110k • 1.0% – 5.0% Apply Voicera.io Believe what you hear. Trust what you see Chief AI & co-Founder $1k – $1k • 4.0% – 6.0% Apply Wynd Labs Making AI Data Accessible. 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Listed by pave.dev for a position based in the United States. Employers on this board attest they are hiring domestically.