Data Scientist at Even Financial

| Remote
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Founded in 2014, Even Financial is a B2B fintech company that is transforming the way financial institutions find and connect with consumers. As the leading search, comparison, and recommendation engine for financial services, Even seamlessly bridges financial institutions (including American Express, Goldman Sachs, and SoFi) and channel partners (such as TransUnion and MoneyLion) via its simple yet robust API and embeddable marketplaces. Even turns any consumer touchpoint into an ROI-driven, fully customizable, programmatic acquisition source with full compliance and security at scale. Even’s investors are leading financial services firms and VCs, including American Express Ventures, Canaan Partners, Citi Ventures, F-Prime Capital (Fidelity), Greatpoint Ventures, Goldman Sachs, LendingClub, and MassMutual Ventures. Even placed in the Top 50 of the 2020 Deloitte Technology Fast 500, awarded to the fastest growing tech companies in the world, and has originated over $3B in credit to date.

We are looking for a Data Scientist to join the Data Science team. You will join a fast paced team, drive data science excellence at Even, and will support the inception, enhancement, development and implementation of new and existing data science models. 

Some of the Questions We Explore Include:

  • How can we rank financial product offers for each consumer we see given a point in time need?
  • How can we integrate with third party data sources to enhance our recommendation models?
  • How can we best mix active and passive signals to maximize click through rates?
  • How do we optimize against the different data flows we have, given our open API?
  • How do we build a strong machine learning infrastructure that automatically trains, experiments with and monitors model performance?

Typical Day to Day Responsibilities Includes:

  • Work on different elements of Learning to Rank problems, such as constructing ranking experiments and measuring their results
  • Analyze, develop, test, and introduce new features and signals for our ranking and filtering systems via analysis of historical consumer data, third party data sources, and various other ML techniques
  • Work with the team to build machine learning infrastructure to streamline the ways in which we experiment with or analyze our data, and partner with cross functional teams (partner solutions, engineering, product, business intelligence) to roll data science outputs into production
  • Build comprehensive dashboarding and simulation systems to test models offline before they are released to production, as well as to monitor their performance once they are online
  • Produce documentation that captures experiments or analyses in detail across the entire data science lifecycle (research to results)
  • Develop, document, and implement processes to help the team to scale
  • Work on ad hoc analyses related to business requirements
  • Collaborate with teammates in an agile, high velocity environment with a focus on meeting business needs
  • Work with languages such as Scala, Python, SQL and have familiarity with AWS redshift or similar data warehousing. 

Qualifications Include:

  • Business acumen and communication skills (ability to communicate business value and impact), creative problem-solving and intellectual curiosity
  • Ability to work well in a team and openly collaborate with a focus on executing fast
  • Ability to decompose large, complex problems into smaller actionable parts
  • Experience with pragmatic statistical analysis in a workplace setting
  • Experience with data science models and testing and building them from scratch (e.g. logistic, tree-based models)
  • High proficiency in python and SQLBA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field preferred or relevant experience (3+ years)
  • Experience analyzing and computing data at scale with tools such as Spark, MapReduce, Hive, Presto, Redshift, etc. preferred but not required.
  • A sense of humor and a genuine interest in joining a fun, dynamic environment where we are building things from the ground up!



Full time employees are eligible for the following benefits:
Comprehensive medical/dental/vision packages + life and disability insurance
401K retirement plans
Stock options
Company paid holidays
Uncapped paid time off (PTO)

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Technology we use

  • Engineering
    • JavascriptLanguages
    • PythonLanguages
    • ScalaLanguages
    • SqlLanguages
    • ReactLibraries
    • AngularJSFrameworks
    • Node.jsFrameworks

Location

We’re located in and will return to “Silicon Alley”, in the Flatiron/Chelsea district of NYC—a neighborhood booming with tech, great food, and dogs!

What are Even Financial Perks + Benefits

Even Financial Benefits Overview

Even has a “Work From Anywhere” policy. While we maintain a beautiful office space in NYC and we encourage on-site collaboration, we know that a distributed workforce can be just as productive and highly engaged. Even offers it's employees a wealth of perks and benes! Medical, dental, vision, stock options, flexible PTO, personal holiday once a month, 401k, virtual yoga, employee recognition program - just to name a few!

Culture
Friends outside of work
Eat lunch together
Daily sync
Open door policy
Team owned deliverables
Group brainstorming sessions
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Wellness Programs
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Even has a “Work From Anywhere” policy. We encourage onsite collaboration but realize that distributed workforce can be just as productive and engaged.
Family Medical Leave
Return-to-work program post parental leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Paid Sick Days
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Stocked Kitchen
Happy Hours
We love getting together as a company as well as with our teams - team happy hours, game nights, DnD, trivia, ping pong events - we do it all!
Pet Friendly
Even loves it's four legged dog friends and allows them to work with us in the office (accompanied by their Human, of course)
Fitness Subsidies
Home Office Stipend for Remote Employees
We offer all employees $200 towards their home office.
Professional Development Benefits
Lunch and learns
Cross functional training encouraged
Promote from within
Online course subscriptions available
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