Senior Data Scientist at Nearside

Our mission is to help small businesses start and grow. We are building financial products that empower business owners and enable them to focus on their products and on growing their businesses. At Nearside we care about creating solutions which provide accessible, transparent, and fair access to financial products. We are a remote friendly company and our team is spread out across the United States and Canada. At this time, we have a physical office in San Francisco with more locations opening around the country soon. Our company is growing and we’d love for you to grow with us!

Opportunity

At Nearside, the Data team partners with every function in the organization in order to help teams make data-driven decisions, take data-informed actions, and build a world-class data platform. We're highly quantitative individuals who love to turn data into insights and communicate our findings fearlessly, and we're looking for people with a similar mindset who are constantly curious, driven to understand our business better, and committed to creating value.

As a Senior Data Scientist at Nearside, you will partner with teams across the company to refine our understanding of the business, define (and measure the success of) new initiatives, develop and implement models, and provide actionable insights and conclusions in order to support teams cross-functionally. This will be a high visibility role that will add significant value to every part of our company to further our goal of helping small business owners (SMBs) scale and grow.

If you are someone who can proactively surface recommendations and insights, can work across the analytics and data stack to solve complex problems, has a passion for operations and process, and thrives at the intersection of business needs, customer experience, and technology/innovation -- then we would love to meet you!


What You’ll Be Doing

Evaluating the performance of company initiatives by analyzing customer funnels and metrics (new business, retention, CAC, LTV, churn, etc.)
Partnering with the Credit/Fraud, Marketing, Product, Ops, Finance, and Compliance teams to help them better understand their functional areas, build understanding and increase use of our data, and set a high bar for analytics across the organization
Building data science models for risk analysis, fraud detection, and customer acquisition in order to accelerate Nearside’s business
 Creating dashboards in Mode that allow internal consumers to gain insight into the performance of their functional areas
Constructing reusable data pipelines in Fivetran and dbt for company-wide use
Monitoring the state of the business on a regular basis and generating data-driven hypotheses and action items in order drive business impact

Recent projects include: growth funnel measurement, measuring the success of new growth channels (eg. out-of-home advertising), e-mail marketing A/B testing, fraud detection rules for AML compliance, and more!



Experience/Skills You Need: 

4+ years of work experience in analytics/data science or a directly related field – some of which should be at a technology or finance company
A proven track record of initiating and delivering actionable analyses/recommendations in order to drive business impact
An understanding of fintech business models and key metrics
Experience designing and implementing data science/ML models to provide deeper insights and recommendations
Excellent communication skills (technical and non-technical) and comfort working with high-level stakeholders
The ability to work autonomously in a small group: strong communication, collaboration, and empathy
Excellent SQL skills and experience with databases/data warehouses; fluency with BI/visualization tools
Deep knowledge of Excel, R, Python, or other analysis and modeling tools
Strong critical reasoning skills, including an understanding of common pitfalls of data analysis



You’re not expected to have expertise in all of the above areas, but you should be interested in learning and growing your knowledge in the areas that are less familiar to you.

About Us
Benefits

Nearside does not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.