Sr Lead Data Scientist at Banyan

Sr./Lead Data Science
About Banyan
Banyan, the global infrastructure company for item-level receipt data, allows its partners to enrich transactions to create incredible experiences for their customers. Powered by Banyan’s APIs, merchants can seamlessly and securely share receipts, while unlocking powerful insights and unique marketing opportunities.
Banyan provides its merchant partners complete transparency and control over who can access receipt data and Banyan’s privacy-by-design approach requires consumers’ permission before any enrichments take place. This new ecosystem allows financial institutions, fintechs, and consumer apps to enrich their data with item-level detail, unlocking a new wave of innovation to drive improved customer experiences, cost savings, and new revenue streams.
We’re a growing team of more than 25 employees distributed across the US, with offices in New York and Chicago. Our investors include FinVC, TTV Capital, Motivate Ventures, and Manifold Group, and we have ambitions to become a major player in the future of fintech.
Overview
Our growing Analytics team is looking for our first Data Scientist to join our ranks, who can take on a “full-stack” role in building our data science infrastructure and partnering with other teams to build effective and impactful data science tools, such as our core receipt-to-transaction matching infrastructure and algorithms.
You’ll report to the Director of Product Operations & Analytics, and partner with product, analytics, data ops, and data platform engineering teams to understand key data science needs, develop KPIs, build roadmaps, and create models and deployment infrastructure.
We are searching for someone who is passionate about our mission, has the vision and desire to build from scratch, and can shape and manage a data science roadmap in a quickly growing product organization. The ideal candidate is excited to adapt to the evolving priorities of a growing startup – which may mean writing production-level code for our receipt-to-transaction matching infrastructure one day, while collaborating with data analysts or analytics engineers on key business analytics priorities the next.
What you’ll do
Build and maintain end-to-end modeling pipelines and infrastructure, in partnership with analytics and engineering teamsConduct model experiments and feature engineering to transform raw receipt, merchant, and transaction data into useful, high quality data for modelingDeliver actionable guidance and recommendations to internal product and business stakeholders to help understand nuances of the models built and tactics for improvingBecome the subject matter expert on Banyan’s data matching process, working closely with internal business partners to help customers better understand their dataCollaborate with our data platform team to identify valuable third-party data sources to augment our models
What you bring
4+ years of experience in data science, preferably in a tech company or startupProficient in Python, and the ability to design, develop, and test customized pipeline and predictive modeling toolsExperience developing and owning production-level models using real-world dataProficient in SQL, relational databases, and the modern data stack Experience with applied statistics and predictive modeling, with a structured framework for selecting the right modeling approach, tuning, evaluating model performance, and debugging modeling issuesGood communication skills (written and verbal)Attention to detail and desire for end-to-end ownership of deliverablesSelf-motivated, proactive, and fairly autonomous; comfortable working in a fast-paced environmentCollaborative with a positive attitude, interest in learning, and strong sense of empathy
Bonus points for
Experience or familiarity with entity resolution / record matching, or natural language processingExperience with ETL pipelines, batch/real-time data processing, and dbt or similar toolingFamiliarity with retail media, CPG, or financial transaction data
We recognize that many great applicants will come with differing levels of experience and backgrounds (or may not have worked with the specific tools in our stack), so if you are interested in the role and passionate about our company vision and mission, but feel discouraged because you don’t match all the items, please apply anyway – there’s a good chance you also have important skills we haven’t stated.
Benefits
Competitive salary and equityMedical, dental, and vision insurance plansFlexible vacation policyPaid parental leaveWork-from-home remotely, w/ occasional travel (job-dependent)Option to work semi-regularly in office if located near Chicago, IL or Holmdel, NJ officesLearning and development initiatives & assistance
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BANYAN is an equal opportunity employer and committed to providing employees with a work environment free of discrimination and harassment. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.