Lead Data Scientist EMEA (M/F/D)

Rain is a venture-backed fintech with a mission to kill predatory financial products like payday loans. Our first product gives employees instant access to their wages, which solves a major problem for real people (115 million American workers are living paycheck-to-paycheck). Rain is the fastest-growing startup in the category and was incubated with QED Capital, a top fintech venture fund.

Our team culture is rooted in a deep commitment to Shokunin, the Japanese philosophy of giving your very best for the general welfare of people. Other core values at Rain: radical transparency and zero ego.

ABOUT THE ROLE

Rain is looking for an experienced and passionate senior data scientist in our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Rain and improve user experience for our customers.

Responsibilities

• Work with the risk and underwriting team to move from rules-based to predictive underwriting models

• Create new predictive variables using your intuition, data insights, and automation techniques

• Discover and evaluate the reliability of new data sources

• Automate the creation of machine learning models

• Underwrite customers and help define credit line limits and pricing

• Thwart any fraudulent activities through superior data processes

• Collaborate with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

• Works closely with a team of frontend and backend engineers, product managers, and analysts.

• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Requirements

• Fluent English

• 4+ years of experience in a data science role

• Experience with or knowledge of R, SAS, Python, Matlab, SQL, noSQL, Hive, Pig, Hadoop, Spark

• Able to build modern machine learning models using the aforementioned tools

• Be an advocate for a data driven culture

• Excellent problem solving and troubleshooting skills

• Process oriented with great documentation skills

• Excellent oral and written communication skills with a keen sense of customer service

• BS or MS degree in Data Science, Computer Science or a related technical field

• Knowledge of best practices and IT operations in an always-up, always-available service

The Rain Instant Pay app provides early wage access for employees at mid to large-sized organizations to improve financial wellness and increase employee productivity.

With 63% of Americans living paycheck to paycheck, financial wellness tools are an important part of any employee benefits package. Rain works by giving advances on upcoming paychecks; it is not a loan and there is no interest. Employees pay a small fee for this service, which is healthier than payday loans. 

Rain’s mission is to regrow financial freedom by giving people full control over their income and to put an end to predatory financial products, replacing them with on-demand pay.

Find out more at https://rain.us, LinkedIn, Facebook, Twitter, Instagram, and YouTube.