Self Financial, Inc.
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Principal Data Scientist
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Self Financial, Inc. About the Role
We are looking for a hands‑on Principal Data Scientist to join our Analytics & Data Science team. Your mission is to drive significant business value and innovation by spearheading our most critical machine learning initiatives and establishing a center of excellence for the data science practice. This is more than a modeling role; you will be a thought leader and a key driver in our journey to operationalize advanced analytics. Your work will directly influence customer growth, product strategy, and marketing effectiveness, tangibly impacting our revenue and our customers' financial lives. What You Will Do
Revolutionize Marketing & Partnership Strategy: Spearhead the development of predictive LTV and customer quality models for our core products. Engineer the Next Best Action & Communication: Partner with Lifecycle Marketing and Product to architect our next‑generation recommendation engine. Predict and Prevent Customer Churn: Design and deploy models that predict which new members are at risk of becoming inactive and build comprehensive models to predict churn across the entire customer lifecycle. Lead with an AI‑First Mindset: Champion an AI‑first approach to advance our analytical capabilities and business productivity. Mature a Center of Excellence: Be the catalyst for maturing our data science capabilities by defining and implementing company‑wide standards, reusable patterns, and best practices for the entire ML lifecycle. Who You Are
Are a Builder and a Strategist: Comfortable architecting a multi‑year technical vision and getting your hands dirty coding the solution. Connect Your Work to Business Impact: Proven track record of developing ML models that deliver measurable revenue growth and customer value. Thrive in Ambiguity: Expert at navigating complex, open‑ended problems and carving a clear path to a solution. Are a Force Multiplier: Excellent communicator who can articulate complex concepts to technical and non‑technical audiences alike, influencing stakeholders and mentoring fellow team members. Core Qualifications
7+ years of hands‑on experience in data science and machine learning, with a portfolio of models deployed in production that have driven significant business outcomes. Expert‑level proficiency in Python and data manipulation libraries (Pandas, NumPy), as well as SQL for complex data extraction and analysis. Deep, practical experience across a range of ML techniques, such as propensity modeling, lead scoring, clustering, recommendation systems, and causal inference. Proven experience owning the end‑to‑end ML lifecycle, from feature engineering on large, complex datasets to partnering with MLOps/Engineering for deployment and monitoring. Experience with version control systems (Git). Preferred Qualifications
Advanced degree (Masters or PhD) in a quantitative field like Computer Science, Statistics, Physics, or Mathematics. Experience in the fintech or financial services industry. Familiarity with cloud‑based ML ecosystems, particularly AWS (S3, Glue, Redshift, SageMaker). Experience developing or working with nascent AI capabilities (e.g., leveraging LLMs for internal tools, GenAI). Base Salary
Base salary is $159,000‑212,000 annually. Individual pay is based on factors unique to each candidate, including skill set, experience, and other job‑related reasons. Benefits and Perks
Company equity in the form of Stock Options Performance‑based bonuses Generous employer‑paid health, vision and dental insurance coverage Flexible vacation policy Educational assistance Free gym membership Casual dress code Team building events and activities Remote work arrangements / flexible work schedule Paid parental leave Equal Opportunity Employer
We are an Equal Opportunity Employer. At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.
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Principal Data Scientist
role at
Self Financial, Inc. About the Role
We are looking for a hands‑on Principal Data Scientist to join our Analytics & Data Science team. Your mission is to drive significant business value and innovation by spearheading our most critical machine learning initiatives and establishing a center of excellence for the data science practice. This is more than a modeling role; you will be a thought leader and a key driver in our journey to operationalize advanced analytics. Your work will directly influence customer growth, product strategy, and marketing effectiveness, tangibly impacting our revenue and our customers' financial lives. What You Will Do
Revolutionize Marketing & Partnership Strategy: Spearhead the development of predictive LTV and customer quality models for our core products. Engineer the Next Best Action & Communication: Partner with Lifecycle Marketing and Product to architect our next‑generation recommendation engine. Predict and Prevent Customer Churn: Design and deploy models that predict which new members are at risk of becoming inactive and build comprehensive models to predict churn across the entire customer lifecycle. Lead with an AI‑First Mindset: Champion an AI‑first approach to advance our analytical capabilities and business productivity. Mature a Center of Excellence: Be the catalyst for maturing our data science capabilities by defining and implementing company‑wide standards, reusable patterns, and best practices for the entire ML lifecycle. Who You Are
Are a Builder and a Strategist: Comfortable architecting a multi‑year technical vision and getting your hands dirty coding the solution. Connect Your Work to Business Impact: Proven track record of developing ML models that deliver measurable revenue growth and customer value. Thrive in Ambiguity: Expert at navigating complex, open‑ended problems and carving a clear path to a solution. Are a Force Multiplier: Excellent communicator who can articulate complex concepts to technical and non‑technical audiences alike, influencing stakeholders and mentoring fellow team members. Core Qualifications
7+ years of hands‑on experience in data science and machine learning, with a portfolio of models deployed in production that have driven significant business outcomes. Expert‑level proficiency in Python and data manipulation libraries (Pandas, NumPy), as well as SQL for complex data extraction and analysis. Deep, practical experience across a range of ML techniques, such as propensity modeling, lead scoring, clustering, recommendation systems, and causal inference. Proven experience owning the end‑to‑end ML lifecycle, from feature engineering on large, complex datasets to partnering with MLOps/Engineering for deployment and monitoring. Experience with version control systems (Git). Preferred Qualifications
Advanced degree (Masters or PhD) in a quantitative field like Computer Science, Statistics, Physics, or Mathematics. Experience in the fintech or financial services industry. Familiarity with cloud‑based ML ecosystems, particularly AWS (S3, Glue, Redshift, SageMaker). Experience developing or working with nascent AI capabilities (e.g., leveraging LLMs for internal tools, GenAI). Base Salary
Base salary is $159,000‑212,000 annually. Individual pay is based on factors unique to each candidate, including skill set, experience, and other job‑related reasons. Benefits and Perks
Company equity in the form of Stock Options Performance‑based bonuses Generous employer‑paid health, vision and dental insurance coverage Flexible vacation policy Educational assistance Free gym membership Casual dress code Team building events and activities Remote work arrangements / flexible work schedule Paid parental leave Equal Opportunity Employer
We are an Equal Opportunity Employer. At this time, we are only able to consider applicants who are U.S. Citizens or Green Card Holders for employment opportunities. We appreciate your understanding.
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