Sanlo

Full Stack Data Scientist

Sanlo

Remote job description

Gaming & apps represent a unique, beautiful and creative industry that so skillfully combines data with design. Yet, finance is still too often mysterious and overlooked. The app economy is growing and has its unique characteristics and challenges that deserve its own suite of financial services.

We are building a platform of financial services to demystify finance and to set the companies up for success and smart growth. We are on a mission to support and empower gaming and app companies to create successful products that their customers love, while running profitable businesses.

We are a small founding team with deep experience in gaming + consumer product and in fintech. We're supported by a select group of investors that we deeply respect and admire.

What it's like to work at Sanlo:

We're a young company, so you'll have an opportunity to shape not just our product, but the company itself: who we work with and how we work together.

We're remote-first. We maintain core working hours of 9AM to 5PM PT, when we're all online and available at the same time. We strive to be clear in our communication and over-communicate by default.

What you'll be doing:

As a Full Stack Data Scientist and our first Data team hire at Sanlo, you will have the opportunity to work across the entire data architecture. This is a great opportunity for an aspiring data engineer or scientist who is a jack of all trades who would excel at designing and building a modern data architecture in the fintech and gaming space.

  • You will work closely with engineers, designers, and product managers to design and maintain multiple technologies, including our data pipeline, data analysis/collection, and data models.
  • Collaborate with our engineering, product and design teams along each step of the product development process from ideation, implementation, testing, release and monitoring.
  • Work on systems that extract insights from game companies' financial data, analyze financial metrics, forecast financial state, determine creditworthiness and predict financial trends.
  • Perform data analysis and present insights to inform product direction.

We're looking for someone with:

  • Experience of shipping code to production
  • Experience working across the entire data stack: data infrastructure, data pipelines, data analysis, data collection, building and training data models
  • Excitement about building a modern data architecture
  • High level of comfort exploring data, sharing insights and using data to make decisions
  • Sharp product intuition

Bonus Points:

  • You've worked in fintech (lending, risk, payments)
  • You're comfortable in a Python data science stack (Pandas, Jupyter Notebooks)
  • You're comfortable with Google Cloud Platform tooling: Big Query, Cloud Storage, Dataflow.

How to apply

If you're interested in this role, please email william@sanlo.io with your resume / LinkedIn, and a quick cover letter/email/blurb on how our mission and values resonate with you would be a nice bonus. We look forward to hearing from you!

Summary
Company: Sanlo
Job title: Full Stack Data Scientist
Job tags: fintech

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