What are the responsibilities and job description for the Senior Data Scientist position at ConnexPay LLC.?
Work from home (Remote) or any of our offices - Atlanta, GA or Dallas, TX
Do you have the skills to fill this role Read the complete details below, and make your application today.
The Company
Founded in June 2017, ConnexPay is a payments company creating game-changing technology that is transforming modern e-commerce. As an innovative financial technology and payments company, ConnexPay offers combined payment acceptance and issuance processes inside a single solution to enterprise corporations that provide intermediary services (i.e., online travel agencies, online marketplaces, e-commerce brokers, etc.). The company’s technology reduces payment risk and lowers the cost of payment acceptance. Through our people, ConnexPay is poised to become the industry leader in payments for industries historically viewed as high-risk to payment providers and sponsor banks.
ConnexPay is proud of our culture, where we focus on employee engagement and customer satisfaction. Here our people feel comfortable voicing their opinions, which helps us build a safe environment for all. We are customer-focused and truly believe that behaviors drive our culture — and our culture drives our results — always working as one team to win.
The Opportunity
The Senior Data Scientist role is responsible for delivery of modern machine learning pipelines and models within Databricks. The ideal candidate will have a strong technical background in machine learning and data engineering, and a deep understanding of the B2B payments industry or payments and account fraud detection solutions. This combination of technical and business domain experience will allow the Senior Data Scientist to ideate and deliver outcomes that increase the speed of decision-making, leverage ML to improve business operations workflows and develop new product offerings. This role will require collaboration in a cross-functional team environment to understand requirements that manifest in outcomes that support ConnexPay's goal to become an industry leader in payments for high-risk industries.
Key Responsibilities
- Work with internal stakeholders to provide data-driven answers to strategic business questions using a variety of techniques.
- Manage and maintain machine learning pipelines and models within Databricks, including responsibilities that cover research-through-deployment (i.e., feature engineering, containerization, orchestration, model monitoring / validation).
- Identify new areas of opportunity for the company and prototype solutions; conduct basic market research and find external data sources to validate these ideas.
- Build internal tools (AI-enabled solutions) that help the business team make data-driven decisions and / or automate manual processes.
- Contribute to existing internal and external machine learning-based products via researching new methodologies, creating new measurement / validation techniques, etc. to increase efficacy and business outcomes.
- Work with external data vendors such as LexisNexis, Experian, Equifax, etc., to integrate and leverage data for model enhancement.
- Present key findings and insights to stakeholders in a clear and concise manner.
- Prioritize and manage multiple projects and development activities independently.
Qualifications
Benefits and Perks
ConnexPay offers an attractive compensation package reflecting the scope of the role. Other benefits include :
ConnexPay is an Equal Opportunity Employer and does not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Apply for This Position
J-18808-Ljbffr
