Data Scientist, Self Financial
Machine Learning
$165-180k
+ Stock Options & Quarterly performance-based bonuses
Credit and savings-building platform
Job no longer available
Credit and savings-building platform
501-1000 employees
Job no longer available
$165-180k
+ Stock Options & Quarterly performance-based bonuses
501-1000 employees
Company mission
To enable people to build credit, build savings, and reach their goals.
Role
Who you are
- We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve
- We are seeking a highly skilled and motivated Data Scientist with expertise in building machine learning models, deploying models, and creating pipelines
- The ideal candidate will have extensive experience with AWS Machine Learning cloud tools and a strong background in data analysis, statistical modeling, and software engineering
- This role requires a blend of technical proficiency, creativity, and the ability to work collaboratively in a fast-paced environment
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- Proficiency in programming languages such as Python, R, and SQL
- Strong understanding of machine learning algorithms, statistical models, and data structures
- Experience with AWS Machine Learning services, including but not limited to SageMaker, Lambda, Glue, and Redshift
- Expertise in deploying models in a cloud environment and managing end-to-end ML pipelines
- Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas
- Minimum of 3-5 years of hands-on experience in building, deploying, and maintaining machine learning models in production
- Proven track record of working with large datasets and implementing data preprocessing, feature engineering, and model evaluation techniques
- Experience with DevOps practices and tools for continuous integration/continuous deployment (CI/CD) is a plus
- Strong problem-solving skills and the ability to work independently as well as part of a team
- Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders
- High attention to detail and a passion for delivering high-quality work
What the job involves
- Develop Machine Learning Models: Design, build, and refine machine learning models for various applications, ensuring high accuracy, efficiency, and scalability
- Model Deployment: Deploy machine learning models in production environments using AWS ML tools, ensuring models are robust, reliable, and maintainable
- Pipeline Creation: Develop and maintain data pipelines that preprocess, transform, and ensure the integrity of data for model training and prediction
- Data Analysis and Visualization: Conduct thorough data analysis to extract meaningful insights and visualize data to support decision-making processes
- Collaborate with Cross-Functional Teams: Work closely with data engineers, software developers, product managers, and other stakeholders to integrate ML models into applications and workflows
- Stay Current with Industry Trends: Keep abreast of the latest advancements in machine learning, data science, and AWS technologies to continuously improve skills and apply best practices
- Documentation and Reporting: Document methodologies, processes, and results comprehensively. Present findings and insights to technical and non-technical stakeholders
Our take
Almost 50 million Americans are “credit invisible” with no credit score at all, while there are also around the same number with low credit scores. The ramifications of this are profound, as it goes on to affect mortgage and rental applications, personal loans, and even job prospects.
Self is one of many fintechs, along with the likes of Better, TomoCredit and SoFi, that are attempting to help people get easier access to loans, and in turn credit scores. The company offers consumers instalment loans and its own Visa credit card, regardless of their current credit score.
While there’s lots of competition in this particular fintech niche, Self has been scaling up rapidly over the last few years, increasing its headcount and expanding into credit reporting for rent with its acquisition of RentTrack. With its innovative approach and growing range of services, Self is positioned to continue making a meaningful impact on financial inclusion.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Sep 2021
$50m
SERIES E
Dec 2020
$40m
SERIES D
Total funding: $127.6m
Company benefits
- Healthcare including medical, dental, vision, life, disability, FSA, HSA
- 401(k) investment plan
- Equity incentive plan
- Flexible time off
- Paid Parental Leave for primary and secondary care givers
- Wellness programs and fitness benefits
- Professional development reimbursement
- Reward and recognition program
- Hybrid work environment
Company HQ
East Cesar Chavez, Austin, TX
Leadership
James Garvey
(Founder & Member of the Board of Directors)Founded Self Financial in 2014 and served as the CEO until 2023. Previously founded GK Equity and co-founded Objective Loyalty where they served as the CTO for 5 years.
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