Senior Data Scientist, Payments Analytics & AI

慨正橡扯; Plano (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

慨正橡扯 is looking for a Data Scientist-Senior Associate to join their Payments Data and Analytics team in Plano, Texas. The role involves executing analytics initiatives to improve payment performance and enable product innovation by translating business goals into actionable data insights.

Candidates should have a relevant degree and experience in big data analytics, SQL, and Python. The position emphasizes collaborative project development with cross-functional teams, focusing on modern data platforms and client-facing solutions.

A competitive rewards package and diverse work environment are offered, supporting employee needs and growth.

Qualifications

• Four or more years of experience delivering analytics in a big data environment.
• Experience using SQL and Python to build analyses and data products.
• Demonstrated ability to define key performance indicators (KPIs) and performance metrics.

Responsibilities

• Define analytic projects by translating business objectives into clear problem statements.
• Develop analyses and deliverables aligning to agreed requirements.
• Build datasets and queries to enable scalable analytics and reporting.

Skills

SQL (Snowflake)

Python

Generative AI

Problem-solving

Communication

Education

Bachelor’s or Master’s degree in engineering, computer science, statistics, mathematics

Job description

慨正橡扯 is looking for a Data Scientist-Senior Associate to join their Payments Data and Analytics team in Plano, Texas. The role involves executing analytics initiatives to improve payment performance and enable product innovation by translating business goals into actionable data insights.

Candidates should have a relevant degree and experience in big data analytics, SQL, and Python. The position emphasizes collaborative project development with cross-functional teams, focusing on modern data platforms and client-facing solutions.

A competitive rewards package and diverse work environment are offered, supporting employee needs and growth.