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Recurly is a well-established technology-driven SaaS-based company in the recurring billing space.  We have a start-up company culture but have been in business for 10 years. We are continuing to make heads turn in the industry due to our technological advancement and innovative solutions.
As a Data Scientist at Recurly, you get to collaborate with a team of talented data scientists & analysts, product managers, engineers, and customer success managers to deliver innovative product solutions and research that will continue to solidify Recurly’s market position. Not only will you explore, connect, and produce insights with our data to grow Recurly’s business, but you will also build and deploy production-grade machine learning models that get incorporated into our core product offering. There is a lot more we can do with the volume of data we have, and you’ll play a key role from conception to launch.
Compensation & Benefits: Compensation is determined by your work location. Speak with the recruiter for more information.
States Recurly can hire from: Arizona, California, Colorado, Georgia, Idaho, Illinois, Louisiana, Maryland*, Minnesota, Massachusetts, Montana, New Jersey, New Mexico, New York, North Carolina Ohio, Oregon, Pennsylvania, Texas, South Carolina, Utah, Washington (*In Progress)
Benefits:  As a full-time employee, Recurly offers competitive benefits programs, perks and options designed to fit your needs and the needs of your family. We offer medical, dental and vision benefits and a menu from which to choose options that work best for you and eligible dependents. We also offer life insurance, short and long-term disability, hospital indemnity, critical illness coverage, employee accident protection, health savings account (HSA) & flexible spending account (FSA) options, employee assistance program, Legal and Pet Insurance.
Other perks may include: 401(k) Retirement Plan Company equity Flex Time Off Company Events Training/Development Tuition reimbursement Casual dress Dog friendly office Commuter benefits Volunteer opportunities

Responsibilities

    • Write production code to build services that deploy machine learning models. Coordinate with the Engineering and Ops teams to deploy new releases of machine learning models
    • Build production-grade machine learning models to solve hard business problems in payment and subscription
    • Solve internal and external business problems by reframing them to enable algorithmic solutions; have a keen eye towards automating the process and output for common topics
    • Help build documentation for data warehouse and ensure data quality for datasets used to train and test models
    • Understand the breadth and depth of Recurly’s data set to create internal and external facing analyses and insights. Lead and support various ad hoc data analysis projects, as needed 
    • Be a champion of data hygiene and establish processes to ensure high data integrity and quality
    • Be an expert on subscription business-related metrics and champion those metrics within the company
    • Identify patterns, troubleshoot issues, and have a holistic understanding of Recurly’s data structure
    • Continually refine business acumen and establish domain/industry vertical expertise

Requirements

    • Bachelors or Masters in a quantitative field (e.g. Computer Science, Data Science, Statistics, Mathematics, Physics, etc.)
    • At least 6 years of relevant working experience, with at least 4 years as a data scientist/machine learning engineer
    • Strong experience deploying production-grade machine learning models (decision trees etc.)
    • Knowledge and demonstrable experience with Python, Java, SQL or R
    • Relevant knowledge in machine learning algorithms Random Forest, Gradient Boosting, Logistic Regression, Time Series etc.
    • Demonstrable experience with statistical analysis (A/B testing, exploratory data analysis using data visualization tools, anomaly detection)
    • Experience with building data dashboards and automation using Tableau/Looker or other visualization tools
    • Strong written and verbal communication skills
    • Strong user empathy to understand the real question behind a business request
    • Experience in leveraging proper data to communicate insights in an easy to understand manner
    • Know how to prioritize work and have the intuition to avoid analysis paralysis
    • Team oriented and able to collaborate with other stakeholders within the company to take an idea from conception to launch

Bonus Points

    • Background in fintech and subscription businesses
    • Experience deploying machine learning models in Cloud Platform (GCP)
    • Working knowledge of Git, Docker, BigQuery, and Scala
About Recurly: Recurly, Inc. provides a versatile subscription management platform to manage the entire subscription lifecycle for market-leading brands worldwide. Subscription businesses such as Sling TV, BarkBox, FabFitFun, Cinemark and Fubo.tv depend on Recurly to harness the power of the subscription model and drive recurring revenue growth. Since its launch in 2009, Recurly has deployed subscription billing for thousands of companies across 42 countries. Our platform empowers billions of credit card transactions and has enabled customers to recover $450 million + in Revenue.
Recurly is backed by Accel-KKR, a leading technology-focused private equity firm with over $9 billion in capital commitments. The partnership offers Recurly access to significant capital and resources to make continued investments in technology and platform innovation and expand our go-to-market initiatives.
Offices located in San Francisco, California; Boulder, Colorado; New Orleans, Louisiana and Remote!
Recurly is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law. Recurly is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at talent@recurly.com