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Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
We're looking for a technical and skilled Staff Data Scientist to play a lead role in the Member Data Scientist team focusing on Complaints Analytics. In this role, you will be responsible for driving insights from customer complaints, you will analyze structured/unstructured complaints data to uncover trends, identify root causes, unlock insights, and provide actionable recommendations to improve customer experience and operational efficiency. The Member Organization is the connective tissue at SoFi, we are dedicated to understanding our members and their behaviors to help them achieve financial independence and reach their goals.
As a Staff Data Scientist, you will serve as a data leader, balancing urgent requests, and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will help the team build reliable, efficient, and scalable data foundations. You will create a culture of strong technical ownership, documenting your approach and ideas to socialize, resulting in strategies that have a wide impact within the organization. You will perform analytical deep-dives to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps.
In this role, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills.
Additionally, you are expected to work cross functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them.
Responsibilities:
- Identify high impact business opportunities to help members achieve their financial goals
- Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation.
- Develop and apply machine learning models to solve business problems
- Evaluate and interpret the results of data analysis
- Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders.
- Design and implement data collection. Build data pipelines to deploy production level datasets.
- Collaborate with cross-functional teams and business leader to understand needs and offer data-driven solutions
- Participate in internal team Knowledge sharing session and willingness to mentor junior Data Scientists in the team
- Stay up-to-date on the latest data science techniques and technologies
Qualifications:
- Masters’ or above in quantitative areas: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 7+ years of relevant experience leveraging data-driven analysis to influence key decisions, preferably in a tech company
- Proven track record of being able to work independently, and proactively engaging with business stakeholders with minimal direction and drive measurable business impact.
- Advanced skill set in crafting clean, efficient, and scalable code that adheres to industry best practices, including utilization of version control systems like Git.
- Strong understanding of data mining, machine learning, and statistical modeling.
- Conduct A/B testing and other experiments to validate the effectiveness of data models
- Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.
- Identify quasi-experimental opportunities, conduct relevant analyses, communicate results effectively, and collaborate with stakeholders to turn findings into actions
- Be proficient with SQL, Python (or any other coding language), and visualization tools
- Experience with using DBT to set up ELT/data pipelines, automate jobs via Airflow
- Ability to provide data insights for 0-1 products, comfortable with driving the direction of the roadmap for a data strategy.
- Excellent communication and presentation skills, able to create dashboards to deliver insights
- Ability to cross collaborate, work in an ambiguous environment with strong problem-solving skills, and mentor junior data scientists.
What the Team is Saying
What We Do
SoFi wasn’t built to be a bank. Or a technology company. We were built for one mission: help people achieve financial independence so they can realize their ambitions.
Redefining an entire industry isn’t easy work—and it’s not for the faint of heart. It takes a certain kind of team. People with diverse perspectives and expertise, united by a common sense of purpose. People willing to challenge assumptions but always do the right thing. People proving that innovation and responsibility don’t have to compete, but can come together to create something truly unconventional in the world.
For the last eight years, we’ve been charting this new path forward. We call it The SoFi Way.
At SoFi, we don’t just talk about culture: we live it. The SoFi Way is how we show up every day, how we make decisions, and how we build for our members, clients, and each other.
Why Work With Us
Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative, mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront.
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SoFi Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
For the majority of our workforce who work on a hybrid schedule, the in-office requirement is a handful of days per month!
