Senior Data Scientist — Predictive Analytics Leader (Equity)

Talent Connect Protocol; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Employer-paid healthcare

401(k) with 4% match

Unlimited PTO

HSA contribution

Disability insurance

Job summary

Talent Connect Protocol is seeking a Senior Data Scientist in Austin to establish and own the company’s predictive analytics capability. You will work directly with the CTO and executive leadership to turn large-scale financial and customer data into predictive models that drive strategic decisions.

You will build and validate models across churn, profitability, financial health, and forecasting while managing the full DS lifecycle from feature engineering to deployment and monitoring.

Qualifications

• 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 Redshift, SageMaker, Airflow, or financial services data is highly preferred.

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.

Skills

Python

SQL

Predictive analytics

Statistical modeling

Machine learning

Forecasting

Tools

AWS

Redshift

SageMaker

Airflow

Job description

Talent Connect Protocol is seeking a Senior Data Scientist in Austin to establish and own the company’s predictive analytics capability. You will work directly with the CTO and executive leadership to turn large-scale financial and customer data into predictive models that drive strategic decisions.

You will build and validate models across churn, profitability, financial health, and forecasting while managing the full DS lifecycle from feature engineering to deployment and monitoring.