Senior Data Scientist (Predictive Modeling)

Overview:

TCP is partnered with a growing financial technology company to hire a Senior Data Scientist who will establish and own the organization's predictive analytics capability. This individual will be working directly with the CTO and executive leadership to turn large-scale financial and customer data into predictive models that drive real business decisions.

Key Responsibilities

• Build and validate predictive models across churn, profitability, financial health, forecasting, and customer behavior.
• Own the data science lifecycle from problem definition and feature engineering through model validation, deployment, monitoring, and communicating insights to leadership.

What We're Looking For

• Strong expertise in Python, SQL, predictive analytics, statistical modeling, machine learning, and forecasting.
• Strong statistical foundation with experience working with large-scale datasets and building models that produce measurable business outcomes.
• Experience with AWS and production ML environments; experience with Amazon Redshift, SageMaker, Airflow, or financial services data is highly preferred.

Work Style: Hybrid (Austin, TX) — In Office Tuesday, Wednesday & Thursday

Compensation: Competitive Base Salary + Meaningful Equity + 100% Employer-Paid Healthcare + 401(k) w/ 4% Match + Unlimited PTO + HSA Contribution + Disability Insurance

PLEASE NOTE: This is a hands-on individual contributor role and will initially serve as the sole Data Scientist within the organization.