Search jobs > San Francisco, CA > Data scientist machine

Senior Data Scientist, Machine Learning

Social Finance (SoFi)
San Francisco, CA, United States
Full-time

Employee Applicant Privacy Notice

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

The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi.

The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.

These tasks involve developing complex business rules to researching and applying state of the art machine learning modeling methodologies to solve complex business problems.

This role is very rewarding as your work will have a direct and immediate impact on the business' profitability.

What You'll Do

  • Develop, implement, and continuously improve machine learning models and strategies that support various risk and operational procedures for loss mitigation
  • Proactively identify opportunities to apply advanced machine learning approaches to solve complex business problems
  • Explore and leverage in-house, external, and other open-source machine learning software / algorithms
  • Collaborate with Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements
  • Work closely with the Product and Engineering teams for model deployment
  • Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking
  • Present model performance and insights to Credit, Risk, and Business Unit leaders

What You'll Need

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or quantitative field required. Master's degree or higher preferred
  • 5+ years ML modeling experience if holding a Bachelor's degree, or 3+ years ML modeling experience if holding a Master degree, or PHD in the above quantitative fields
  • Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, unsupervised learning, neural networks, graph database, graph neural networks, deep learning and its various applications.

Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies

  • Strong programming skills in Python and machine learning libraries (e.g., sklearn, lightgbm, xgboost, pytorch, tensorflow, keras, etc.)
  • Strong knowledge of databases and related languages / tools such as SQL, NoSQL, Hive, etc.
  • Effective communication skills and ability to explain complex models in simple terms

Nice To Have

  • Experience of working in a financial organization on loss mitigation
  • Experience with model documentation and delivering effective verbal and written communication
  • Experience in working closely with Product, Engineering, and Model Risk Management teams
  • Experience with AWS, GCP, graph database, large language models

Compensation and Benefits

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 comprehensiveand competitivebenefits, visit our Benefits at SoFi page!

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.

New York applicants : Notice of Employee Rights

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 accommodations@sofi.com.

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.

1 day ago
Related jobs
Promoted
Block Communications
San Francisco, California

We are using Machine Learning and Generative AI as an important part of our toolkit to fulfill our mission. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Leverage diverse data sets including...

Promoted
Cubiq Recruitment
CA, United States

Job Title: Senior Machine Learning Engineer. We are seeking experienced and highly skilled Senior Machine Learning Engineers, including those at Staff and Principal levels, to join a very highly skilled team. Proficiency in machine learning and deep learning frameworks and libraries such as TensorFl...

Promoted
Salesforce
San Francisco, California

We are a group of data scientists, machine learning engineers and software engineers that share a passion for designing data products, and building Generative AI services to help improve the way that generative product is delivered. Partner with Product Managers, Application Architects, Data Scienti...

Roblox
San Mateo, California

As a Senior / Principal Machine Learning Engineer with the Creator Services Natural Language Processing Team, you will build NLP, speech and generative AI models and products and bring the latest machine learning technology to our creators and help them create experiences at scale. You will work on ...

Aurora
San Francisco, California

We’re searching for a Senior Staff Machine Learning Engineer, Perception. Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios (e. Extensive exp in Computer Vision, Machine Learning, Deep Learning, or ...

Cash App
San Francisco, California

Strong knowledge of machine learning algorithms and data analysis techniques. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Check out our Machine Learning / AI blog&#...

Nextdoor
San Francisco, California

As a Data Scientist on the Core Product team, you will focus on product-driven user acquisition by using data insights in close collaboration with our cross-functional teams, developing models to understand user engagement, causal effects, and new user ecosystems. We are looking for an entrepreneuri...

Motive
San Francisco, California

We’re looking for a Data Scientist to help build the telematics AI models at the heart of Motive’s safety product suite such as our collision detection model and safety score. As a member of our team you’ll help frame the problems, build models and products that win customers, and leverage machine l...

Block
San Francisco, California
Remote

We are using Machine Learning and Generative AI as an important part of our toolkit to fulfill our mission. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Leverage diverse data sets including...

INTERON IT SOLUTIONS LLC
San Francisco, California

The ideal candidate will have a strong background in data ingestion, cleansing, and preparation, along with extensive experience in data mining and machine learning operations (MLOps). We are seeking a Senior Data Scientist with 8-10 years of experience to join our dynamic team. Experience with GCP ...