Social Finance (SoFi)
Senior Staff Data Scientist
Social Finance (SoFi), Seattle, Washington, us, 98127
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Who we are:
Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way.
Join us to invest in yourself, your career, and the financial world.
The Role
SoFi's Data Science team is seeking an experienced Senior Staff Data Scientist to help lead our machine learning efforts. This individual will be responsible for the end to end development and deployment of machine learning models that improve SoFi's product experience for our members. You will build systems to recommend products to our members, improve conversion with personalization, and build models to better understand our member's behavior. The ideal candidate has a deep understanding of machine learning algorithms, strong programming skills, and a proven track record of driving successful data science projects from conception to deployment.
What you'll do:
Work closely with Product and Engineering partners to define product experiences that can be improved with machine learningArchitect and deploy machine learning pipelines and infrastructure in AWS Sagemaker and Snowflake SnowparkConduct advanced statistical analyses and machine learning experiments to extract actionable insights from large, complex datasetsCollaborate with cross-functional teams, including product management, engineering, and business stakeholders, to define and prioritize data science initiativesDevelop and maintain best practices for machine learning model development, deployment, and monitoringCommunicate complex technical concepts and results to non-technical stakeholders in a clear and concise mannerStay abreast of the latest developments in Data Science, Machine Learning, and AI, and apply this knowledge to improve our solutions
What you'll need:
8+ years of experience in Data Science and machine learning, with a focus on developing and deploying machine learning modelsTrack record of deploying user facing ML features in productionStrong programming skills in Python with experience in machine learning libraries and frameworksProficiency in data manipulation and analysis using SQL and data visualization toolsExperience with cloud-based platforms and services for machine learning (eg AWS Sagemaker, Snowflake Snowpark)Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teamsAbility to lead and mentor junior data scientists and engineersAdvanced degree (Master's or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science
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Who we are:
Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way.
Join us to invest in yourself, your career, and the financial world.
The Role
SoFi's Data Science team is seeking an experienced Senior Staff Data Scientist to help lead our machine learning efforts. This individual will be responsible for the end to end development and deployment of machine learning models that improve SoFi's product experience for our members. You will build systems to recommend products to our members, improve conversion with personalization, and build models to better understand our member's behavior. The ideal candidate has a deep understanding of machine learning algorithms, strong programming skills, and a proven track record of driving successful data science projects from conception to deployment.
What you'll do:
Work closely with Product and Engineering partners to define product experiences that can be improved with machine learningArchitect and deploy machine learning pipelines and infrastructure in AWS Sagemaker and Snowflake SnowparkConduct advanced statistical analyses and machine learning experiments to extract actionable insights from large, complex datasetsCollaborate with cross-functional teams, including product management, engineering, and business stakeholders, to define and prioritize data science initiativesDevelop and maintain best practices for machine learning model development, deployment, and monitoringCommunicate complex technical concepts and results to non-technical stakeholders in a clear and concise mannerStay abreast of the latest developments in Data Science, Machine Learning, and AI, and apply this knowledge to improve our solutions
What you'll need:
8+ years of experience in Data Science and machine learning, with a focus on developing and deploying machine learning modelsTrack record of deploying user facing ML features in productionStrong programming skills in Python with experience in machine learning libraries and frameworksProficiency in data manipulation and analysis using SQL and data visualization toolsExperience with cloud-based platforms and services for machine learning (eg AWS Sagemaker, Snowflake Snowpark)Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teamsAbility to lead and mentor junior data scientists and engineersAdvanced degree (Master's or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science
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