Senior Data Scientist, Client Insights

Alloy•New York, NY

10h•$165,000 - $200,000•Hybrid

About The Position

Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 700 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers. Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been continuously recognized and named one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, Best Fintech to Work for by American Banker, year after year. The Client Insights team focuses on helping clients get the most value out of their data. We rely on analytics and machine learning to help clients improve their policies, better detect fraud, and stay up to date with industry best practices. The Client Insights team is made up of data scientists and full stack engineers who are working to deliver customer-facing tools that leverage client data to enhance the agent experience and quicker detect fraud. At Alloy, we aim to help our clients protect themselves from the rapidly increasing and ever-changing threat of fraud, and our Client Insights team is part of the core foundation supporting that effort. With thousands of attributes coming from our portfolio of data partners tied to hundreds of millions of entities across our customer base, we have a massive trove of data assets at our disposal that we’ve only just begun to take advantage of. As a Senior Data Scientist on the Client Insights team, you will be spearheading business-critical efforts. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite twice a week, and remote employees onsite once a quarter.

Requirements

6+ years of relevant experience doing modeling and data science work, conducting advanced analytics and building/iterating on real-world, production models.
2+ years experience leading projects
Advanced proficiency in scripting languages like Python and querying languages like SQL
Experience with classification, clustering, regression, and time series models.
Experience working with unbalanced data sets
Experience building models from scratch, iterating, and owning projects end to end.

Nice To Haves

Professional experience in fraud detection
Experience with AWS SageMaker
Experience using: Airflow, Spark, Dbt, Git, Hex, Looker

Responsibilities

Apply statistical and machine learning techniques to develop customer-facing models that directly influence fraud prevention outcomes.
Work closely with application engineers to operationalize models you've built, ensuring they meet rigors for customer usage, including model performance tracking and observability, and have mechanisms for retraining.
Take the initiative to innovate on our current models and apply new methodologies to new and existing problems and products.
Write clear, thoughtful documentation that makes data pipelines, modeling decisions, and trade-offs easy to understand and maintain.
Partner with engineering and product leads to provide guidance and leadership in roadmap planning.
Anticipate future support and maintenance overhead for the data-driven features and models you've built.
Leverage a deep, data-driven understanding of the key drivers and metrics underpinning Alloy's products and business lines to draw insights and make recommendations that will help the company grow and scale effectively.
Conduct bespoke analyses and research for new customer use cases that support future development of data science products.

Benefits

Unlimited PTO and flexible work policy
Employee stock options
Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
401k with 100% match up to 4% of annual employee compensation
Eligible new parents receive 16 weeks of paid parental leave
Home office stipend for new employees
Annual Learning & Development annual stipend
Well-being benefits include access to ClassPass, OneMedical, and Spring Health
Hybrid work environment: our employees local to NYC are expected to work Tuesdays and Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Wednesday/Friday most employees Zoom into work from home while some take advantage of the quieter office.

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