Array is revolutionizing how businesses leverage and enhance consumer data. Our platform enables innovative companies and developers to seamlessly integrate credit and identity data into their apps, websites or workflows. As a remote-first company, we’re focused on providing opportunities for autonomous individuals to have high levels of impact at the forefront of the fintech space. Continuous improvement, experimentation, and a clear mission stretch us individually and together in service of delivering the best products for our clients and users.
Job Description
Insights from data power decisions at Array. This Data Scientist role will work with product, engineering, sales and design teams to analyze data from all parts of our business. You will use data science to help improve adoption and usage of our existing products and create new products. Data Scientists at Array will have a tremendous opportunity to make an impact to the top line and bottom line of a growing company.
Responsibilities
- Understand how our business works and guide the vision for how we share analytics with our users
- Work with complex data sets to solve multiple challenging problems using a statistical approaches
- Work with product, marketing and sales teams to improve products and feature to create new revenue streams
- Design quick proof-of-concept experiments to validate hypothesis and demonstrate viability
- Own the full lifecycle of model development: ideation and data exploration, algorithm design and testing, algorithm development and deployment, and algorithm monitoring and tuning in production.
- Share insights and technical approaches verbally and in writing, including documenting analytical methodologies and other outputs appropriate for use by specialist and non-specialists
- Knowledge in the data products including developing QA/QC strategies to ensure they are production-ready
Essential Skills
- Master's or Ph.D. in a quantitative field such as statistics, economics, industrial engineering and operations research, applied math, or other relevant quantitative field
- 3+ years of experience designing models for product analytics using statistical and machine learning techniques. Experience in financial services
- 3+ years of experience using advanced statistical techniques for experiment design, model development and deployment. Must have multiple, examples of using these techniques to measure the effectiveness of data driven insights to solve business problems on large-scale data sets
- 5+ years of experience with one or more programming languages such as Python, R, PySpark
- Expert-level knowledge of SQL with data exploration and manipulation skills
- Experience using cloud platforms such as GCP and AWS for model development and operationalization
- Must have quantitative reasoning and interpretation skills with an ability to provide analysis inspired by business insight and recommendations
- |Ability to work well with peers and leaders across data science, product, marketing, and engineering organizations
- Problem-solver who simplifies problems to their core elements
- Experience with credit, transaction or other types of financial data is a big plus
Array Offers All Employees the Following Benefits and Perks:
- Full medical, dental, and vision, premiums covered at 100% for employees and 50% for dependents
- Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend
- In-house wellness concierge and partnership with TalkSpace to support mental health
- 100% 401k match with immediate vesting
- Generous and competitive parental leave for all parents
- $1,000 desk setup subsidy to set-up your unique remote office
- $100/month to subsidize wifi/cell phone expenses
One of our core values at Array is to care and support one another, and that’s why we strive to create an environment where everyone feels empowered to bring their full, authentic selves to work. Diversity, equity, and inclusion foster collaboration, comfort, and confidence. We’re at our collective best when we each feel our best.
We are proud to be an equal opportunity workplace, we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.