Staff Data Scientist, Finance & Business Ops

GAQ327R255 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We're building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. Reporting to the Senior Accounting Manager, the Accounting Manager will play a crucial role in the close process through cross-functional collaboration, workpaper review, and driving process improvements for close efficiency and accuracy. Moreover, you will also support quarterly reviews, the annual audit, system integrations, and internal reporting — partnering closely with Accounting, FP&A, and Procurement. As a key contributor to system implementations and automation initiatives, you'll help advance our collective goals of close acceleration and global process ownership. The impact you will have: * Drive accountability and ownership across the global close processes to ensure timeliness and accuracy of deliverables * Drive adoption of AI and automation across your close areas, including AI-assisted reconciliations, automated accrual workflows, and leveraging the Databricks platform to yield close insights and reduce manual data preparation. * Mentor and manage accounting staff, leading the coordination of the monthly, quarterly and annual close and reporting activities * Improve scalability and reduce manual effort - identify and implement process improvements, standard templates, and control points to simplify workflows, increase automation where possible. * Review monthly journal entries, reconciliations, and accounting analysis for accruals (specifically cloud), and other functional areas, as needed * Support M&A activity including consolidation of acquired entities, involvement in new transactions, and integration into Databricks' accounting infrastructure * Review monthly fluctuation analysis for operating expenses * Partner with cross-functional teams, such as Technical Accounting, FP&A, Procurement, and AP on monthly close matters * Prepare and review support to be provided to external audit team * Support SOX compliance over the financial statement close cycle * Identify and implement process improvements and automation to reduce the time to close and improve the accuracy of underlying accounting records * Play an active role in our ERP transformation to SAP S/4HANA, contributing to design decisions, testing, and change management as we modernize our finance systems * Perform special projects and financial analysis as needed * This is an individual contributor role with the opportunity to build and lead a team as the organization grows What we look for: * Experience: 3+ years of public accounting and 3+ years of industry experience in a high-growth technology or SaaS environment. * Credentials: CPA and Bachelor's Degree in Accounting or Finance required. * Technical Accounting: Deep understanding of U.S. GAAP and how to apply accounting rules across multiple processes, systems, and close areas. * Systems & ERP: Experience with ERP systems; SAP S/4HANA experience preferred. Prior ERP implementation experience is a strong plus. * The Automation Mindset: Proven track record driving automation and AI adoption in accounting operations, with hands-on experience implementing tools that reduce manual work and improve close accuracy. Familiarity with data platforms like Databricks is a strong plus. * Ownership & Mindset: Execution-focused, deadline-driven, and process-oriented. You take responsibility for delivering quality work in a fast-paced environment and proactively identify and drive improvement opportunities. * Leadership: Experience managing and coaching accounting staff, with a track record of developing others and driving team accountability.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $145,700—$200,300 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

JOIN US IN BUILDING THE FUTURE OF FINANCE. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals! As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment. This role is based in our Bellevue, WA, Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. ---------------------------------------------------------------------------------------------------------------------------------- WHAT YOU'LL DO * Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management * Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them * Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models * Deploy, maintain and monitor models in production * Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings ---------------------------------------------------------------------------------------------------------------------------------- WHAT YOU BRING * You have 7+ years of experience in data science and credit modeling * You have strong proficiency in SQL and Python for data analysis and modeling * You have experience designing experiments and interpreting results to guide product decisions * You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus * You communicate clearly with both technical and non-technical partners ---------------------------------------------------------------------------------------------------------------------------------- WHAT WE OFFER * Challenging, high-impact work to grow your career * Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching * Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents * Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not * Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more * Employer-paid life & disability insurance, fertility benefits, and mental health benefits * Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! * Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000—$255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000—$224,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000—$199,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.