Senior Data Scientist

Sr Data Scientist Alpharank | Full-time | Remote US Citizens or green card holders only. About the RoleAlpharank is hiring a Data Scientist for our engineering team. Our SaaS solutions use data and models to help banks and credit unions optimize their digital marketing, and every result our clients see depends on those models being right. You will be part of a team and a company that will continue on its rapid growth trajectory from which you will benefit both financially and professionally. The core of this job is judgment about data: recognizing when a dataset or model doesn't make sense, working out why, and fixing or improving it. That takes problem solving, critical thinking, attention to detail, and innovation. What you build goes into our product: the dashboards clients use every day and the marketing optimization that decides where their ad dollars go. Your models and metrics run in production on live client data. We care more about how you think than what your degree is called. A biologist or engineer who has wrestled real data into shape is as strong a candidate as a computer science graduate. This individual contributor role is remote and can be based anywhere in the US. Periodic travel for meetings and conferences will be required. What You'll DoYou will play a leading role in improving Alpharank’s data and analytics products and in creating new products and capabilities. This could include adding new data sources, improving our entity resolution and attribution algorithms, and turning one-off client analyses into dashboard features available to every client. It could also mean enhancing visualizations, building and automating prospecting and media mix models, and developing automated recommendations that improve client marketing and application flows. You may design algorithms that optimize ad targeting, ad creative, and website experience. You may also build AI interfaces that let clients work with the Alpharank platform in natural language. Your success is the company’s success. You will work with Product, Customer Success managers and clients, propose new ideas, test and implement them, and present results to Alpharank executives and clients. That work drives client retention and helps win new business with prospects. Invent new solutions for our clients. You will model and optimize the connections and causal relationships that run from an ad's creative all the way to a customer's lifetime value. Take models from concept to production, then monitor and improve them as client data and ad platforms change. Work with large, multi-source datasets including: Real time event data from our data collection tag. System of record data from our financial institution clients. Click and spend data from our clients’ advertising platforms (Google, Bing, Meta, TikTok, ChatGPT, others) Analytics metadata from other client systems including Google Analytics and Hubspot. Review model outputs and metrics critically, and catch results that don't add up: unexpected shifts, implausible values, data gaps, leakage or broken assumptions. Then fix or improve the data, logic or models. Build, test and evaluate machine learning models for attribution, prediction, and optimization. Write clean, reproducible, production-quality Python that teammates can read and maintain. Explain findings clearly to technical and non-technical colleagues and clients. Learn marketing analytics methods from senior teammates and apply them to real client problems. Required Skills and ExperienceProblem Solving & Critical Thinking: Ability to question results, test assumptions, and find out why, with strong attention to detail in data, code, and conclusions. Overall Professional Experience: 5+ years of professional experience in data science, quantitative analytics, or machine learning, with a strong track record of independently delivering production-grade solutions. Education & Foundational Knowledge: Master’s or Ph.D. in a quantitative discipline (Data Science, Computer Science, Engineering, Statistics, Mathematics, or a natural science), or a Bachelor's degree with 7+ years of relevant applied experience. Machine Learning & Production Experience: 3–5+ years of hands-on experience designing, training, and monitoring machine learning models (e.g., regression, boosted trees, neural networks) in live production environments. Programming & Data Proficiency: 3–5+ years of proficiency in Python data processing and Linux, with demonstrated experience processing and analyzing large real-world datasets. Business Impact & Cross-Functional Delivery: 3+ years of proven success aligning technical deliverables with business goals, managing project timelines independently, and communicating complex findings effectively to executive stakeholders and clients. Desired Skills and Experience Experience with marketing data and ad platforms such as Google Ads and Meta Ads. Experience in the financial industry. Software engineering experience: version control (Git), testing, code review, QA, and deploying models or dashboards to production. Research experience. About AlpharankAlpharank's SaaS Optimizer helps banks and credit unions maximize the effectiveness of their online marketing. Our AI-driven analytics platform is 100% cloud-based, installs with no code in minutes, and delivers a measurable lift in loans and deposits for our clients. We are a growth-stage, financially stable company with a seasoned executive team.

What We Offer

Competitive salary Annual bonus Employee stock options grant Full benefits Hands-on mentorship and opportunities for advancement 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.