SENIOR DATA SCIENTIST - MACHINE LEARNING
Company: Self Financial, Inc.
Location: Austin
Posted on: October 29, 2024
Job Description:
Self Financial is a venture-backed, high-growth FinTech company
with a mission to increase economic inclusion and financial
resilience by empowering people to build credit and build
savings.
Read on to find out what you will need to succeed in this position,
including skills, qualifications, and experience.
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.Our team is passionate about
challenging the status quo of the credit industry by providing
people accessible tools to take control of their credit. Executing
on our mission requires deep collaboration across our teams to
ensure our products reach the people who can benefit from them the
most, particularly the 100 million+ Americans who have no or low
credit.We celebrate diversity and are committed to creating an
inclusive environment for all employees. To that end, we seek to
recruit, develop and retain the most talented people from a diverse
candidate pool.Position OverviewWe 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.What You'll Do
- 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.What We Want You To
Have
- PhD 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.Experience
- Minimum of 7-10 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.Soft
Skills
- 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.Base salary range$180,000- $210,000 annually.
Individual pay is based on factors unique to each candidate,
including skill set, experience, and other job-related
reasons.Benefits And PerksWe have the compensation and benefits you
expect. But there's one thing that Self Financial can offer that
many companies cannot: we can positively change the world, while
making a profit. We are a team of Builders, empowering our
customers to build their dreams. We have a Do the Right Thing ethos
in all that we do, and we hope you value that approach, too.Our
Perks Include
- Company Equity in the form of Stock Options
- Quarterly 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 leaveSelf Financial requires all employees hired
to successfully pass a background check.We are an Equal Opportunity
Employer.
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Keywords: Self Financial, Inc., Georgetown , SENIOR DATA SCIENTIST - MACHINE LEARNING, Other , Austin, Texas
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