Principal Engineer, Decision Science

Company:  Social Finance, Inc. (SoFi)
Location: Seattle
Closing Date: 09/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Principal Data Scientist, Decision Science

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 are seeking a Principal Data Scientist with very strong engineering skills (or a software engineer with deep expertise in decision science) to lead the domain of decision science, including experimentation and causal methods. In this role you will report directly to the VP of Data and accomplish high-impact work across multiple teams, divisions and organizations. Beyond direct impact on experimentation and causal methods, your responsibility will include mentorship, leadership in shaping standards for technical design and execution, hiring practices, and operational excellence.

The ideal candidate is very strong on implementation and methods and equally motivated to develop strategies and plans. You are comfortable making opinionated decisions and very often those decisions prove to be useful. You will work closely with engineering, product, data science, executive teams and more to drive vision, strategy and execution.

What you’ll do:

  • Serve as the tech lead and architect for experimentation and causal inference tools company-wide.
  • Advocate for continually-improving practices and drive inspiring standards for hiring, coding and collaboration.
  • Develop, apply, and socialize impactful technology, engineering principles and concepts.
  • Work across teams at SoFi to help develop & enhance products and systems.
  • Provide technical mentorship to data scientists and continually improve our data-driven culture.
  • Lead & present in broad forums with senior technical leaders across the company.

What you’ll need:

  • Bachelor's Degree in Computer Science or other technical field from a fully-accredited college or university.
  • 8+ years of impactful experience, with significant depth in the methods and implementation details of experimentation and advanced analytics. If you have less experience but feel this is the right job for you, we want to hear what has been exceptional about your faster journey.
  • Expert understanding and hands-on experience building, integrating and operating production data products and infrastructure. Your focus is data, but you have very solid software engineering skills. The lessons you have learned in your career so far will help accelerate the team.
  • Deep hands-on experience with major technologies such as Airflow, DBT, git, docker/k8s, BI tools, Spark, AWS, Snowflake, sklearn, etc.
  • Excellent verbal and written communication skills and a desire to share the right information with the right people.

Who you are:

  • You have a very high sense of motivation and agency in your work.
  • You work and play well with others; SoFi is a highly collaborative workplace and a melting pot of diverse talent.
  • You care personally about your teammates and you know that sometimes the best way to express that care is to challenge them directly to get to the truth.
  • You thrive on developing creative solutions to hard problems.
  • You take pride in your craft and seek practical excellence.
  • You are customer-obsessed and have an affinity for solving complex problems and shipping impactful features.
  • You are confident in asking difficult questions at all levels of the organization.
  • You listen and eagerly accept feedback, knowing that it can help you grow.
  • You love learning - you have the ability to quickly and independently acquire proficiency in new languages and technologies.
  • You are either experienced with finance / fintech or you are enthusiastic to learn and grow in this space.
  • Mentoring others motivates you.

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

Pay range: $192,000.00 - $330,000.00

Payment frequency: Annual

This role is also eligible for a bonus, long term incentives and competitive benefits.

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