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Principal Data Scientist
Self Financial - Austin, TX
posted 2 months ago
About the position
As a Principal Data Scientist at Self Financial, you will play a pivotal role in shaping the company's data-driven culture and developing innovative solutions that empower customers on their journey to financial freedom. Your work will directly impact millions of customers by influencing product and marketing development, personalizing user experiences, and driving financial inclusion. You will collaborate with various teams to establish data science standards and maturity, while also owning machine learning models that affect key business metrics.
Responsibilities
- Use machine learning expertise to tackle high-impact challenges related to customer financial goals.
- Own machine learning models impacting metrics such as Marketing CAC, Conversion Rate, and Retention.
- Perform feature engineering utilizing consumer behavior, clickstream, credit bureau, and transaction history data.
- Partner with Marketing, Product, and Engineering to drive model adoption and iterate on models based on business needs.
- Build the foundation for Data Science including standards, processes, and workflows.
- Collaborate with Architecture and MLOps to deploy, monitor, and update production machine learning models.
- Stay updated on advancements in data science, machine learning, and AI.
- Communicate complex technical concepts to both technical and non-technical audiences.
Requirements
- 10+ years of Data Science / Machine Learning experience.
- 5+ years experience with Git, Gitlab, Github, version control.
- Advanced degree (Masters, PhD) in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline.
- Strong expertise in data manipulation and analysis using SQL and Python, R, or similar.
- Experience with AWS Machine Learning Services and a tech stack including S3, Glue, Redshift, Sagemaker, and Airflow.
- Experience with libraries such as NumPy, SciPy, Pandas, Scikit-Learn, Matplotlib, etc.
- Basic working knowledge of data warehousing, data modeling, and machine learning.
- Experience with propensity modeling, lead scoring, clustering, recommendation systems, causal inference, genAI.
- Excellent communication and interpersonal skills.
Nice-to-haves
- Prior experience with Fintech or building machine learning models within the Financial Industry.
Benefits
- Dental insurance
- Flexible schedule
- Gym membership
- Health insurance
- Paid parental leave
- Stock options
