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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 learning
- Architect and deploy machine learning pipelines and infrastructure in AWS Sagemaker and Snowflake Snowpark
- Conduct advanced statistical analyses and machine learning experiments to extract actionable insights from large, complex datasets
- Collaborate with cross-functional teams, including product management, engineering, and business stakeholders, to define and prioritize data science initiatives
- Develop and maintain best practices for machine learning model development, deployment, and monitoring
- Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner
- Stay 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 models
- Track record of deploying user facing ML features in production
- Strong programming skills in Python with experience in machine learning libraries and frameworks
- Proficiency in data manipulation and analysis using SQL and data visualization tools
- Experience 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 teams
- Ability to lead and mentor junior data scientists and engineers
- Advanced degree (Master’s or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
Pay range: $172,800.00 - $297,000.00
Payment frequency: Annual
This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.
Pay range: $172,800.00 - $297,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
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