Senior Data Scientist

ConnexPay; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

A leading company in the B2B payments industry is seeking a Senior Data Scientist to join their innovative team. This role focuses on developing machine learning models and data pipelines to enhance fraud detection and decision-making. The ideal candidate will have extensive experience in machine learning and data engineering, with opportunities for remote work or hybrid arrangements in Atlanta or Dallas.

Benefits

Unlimited vacation policy

401(k) with company match

Medical, dental, and vision insurance options

Company-paid life and AD&D insurance

Flexible work locations

Autonomy and ownership in your role

Career advancement opportunities

Qualifications

• 5–10+ years in a data-focused environment.
• Strong experience in machine learning deployment.
• Hands-on experience with Databricks and data pipeline orchestration.

Responsibilities

• Develop, deploy, and maintain ML models and pipelines in Databricks.
• Partner with business stakeholders to answer strategic questions using advanced analytics.
• Research and test new ML methodologies to enhance existing products.

Skills

Machine Learning

Data Engineering

Python

SQL

Fraud Detection

Data Visualization

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics

Tools

Databricks

TensorFlow

PyTorch

Scikit-learn

Job description

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Location: Remote (Work from home) or hybrid at offices in Atlanta, GA or Dallas, TX

Job Title: Senior Data Scientist

Compensation: Competitive

• Unlimited vacation policy
• 401(k) with company match (immediate eligibility)
• Medical, dental, and vision insurance options
• Company-paid life and AD&D insurance
• Flexible work locations – remote or office-based
• Autonomy and ownership in your role
• Career advancement opportunities within a growing company

Position Overview:

ConnexPay is seeking a Senior Data Scientist to join its innovative and high-impact team. This role is key to developing production-grade machine learning models and data pipelines within Databricks, focusing on solutions that optimize decision-making and enhance fraud detection within the B2B payments industry.

The ideal candidate brings deep expertise in machine learning and data engineering, along with hands-on experience in fraud analytics or payment systems. You'll collaborate across the business to prototype, deploy, and maintain ML-powered tools and insights that support real-time decisions and operational efficiency. This is a fully remote opportunity or can be based in our Atlanta or Dallas offices.

Key Responsibilities:

• Develop, deploy, and maintain ML models and pipelines in Databricks, including full lifecycle tasks from research to monitoring
• Partner with business stakeholders to answer strategic questions using statistical modeling, machine learning, and advanced analytics
• Build and iterate on AI-powered internal tools that support automation and decision-making
• Research and test new ML methodologies to enhance existing products and processes
• Integrate and leverage third-party data sources (LexisNexis, Experian, Equifax) to enrich models
• Present complex technical findings in clear, actionable ways to both technical and non-technical audiences
• Manage multiple projects independently while collaborating in cross-functional teams

Qualifications & Skills:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field
• 5–10+ years in a data-focused environment (analysis, engineering, or science roles)
• Strong experience in machine learning deployment in production environments
• Expertise in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch)
• Hands-on experience with Databricks and data pipeline orchestration
• Experience with external data vendors such as LexisNexis, Experian, Equifax
• Knowledge of B2B payments, fraud detection, or risk modeling is strongly preferred
• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Power BI)
• Excellent communication and stakeholder management skills
• Strong business acumen and ability to align data science solutions with business goals

EEO Statement:

ConnexPay is proud to be an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.To Apply: Submit your resume and a brief cover letter highlighting your relevant experience.

Alternate Titles

• Machine Learning Engineer
• Senior AI & Data Strategist
• Applied Data Scientist – Payments
• Fraud Analytics Scientist

Keywords:

Senior Data Scientist, Machine Learning, Databricks, SQL, Python, Fraud Detection, B2B Payments, Risk Modeling, Data Engineering, Remote Data Scientist, Atlanta Tech Jobs, Dallas Tech Jobs, Payment Analytics, AI Tools, Scikit-learn, TensorFlow, PyTorch, Data Science Jobs, Predictive Modeling, Data Pipeline, Feature Engineering, Equifax, LexisNexis, Experian

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Financial Services and Consumer Services

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Inferred from the description for this job

401(k)

Vision insurance

Medical insurance

Disability insurance

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