Data Scientist (Fraud)

At Radial, our employees are the forefront of ecommerce, bringing beloved brands to consumers through our fulfillment, customer care and technology solutions. We are fueling the future of retail, which means you are, too.  When you work for Radial, you join a global community of changemakers, where the work is critical, and the culture is fun. We depend on our workforce to overcome real-world challenges every day and encourage you to carve your own career path while shaping our future together.
Radial, the leader in omnichannel commerce technologies and operations has an exciting opening for a  Data Scientist. Radial’s omnichannel solutions use cutting-edge technology and analytics to optimize the e-commerce end to end processes reducing costs for our customer while enhancing the consumer experience.

Role Summary

The Data Scientist, is responsible for identifying, developing, enabling, and optimizing Radial’s fraud risk technology to enhance our Fraud Risk Decisioning. This includes working with internal and external partners to identify and implement the key fraud risk technologies that enable Radial to increase the speed and accuracy of all fraud review decisions. The Data Scients will work closely with fraud department to optimize and manage the fraud risk decisioning tools for all incoming orders. This role is a terrific opportunity to work in the dynamic space of e-commerce fraud to solve complex problems using big data technologies. The department uses a wide variety of systems, tools, and algorithms to evaluate data, execute their investigation and develop an efficient analytical workflow including machine learning models, velocity detection and behavior analytics.

Responsibilities

• Manage machine learning model life cycle through model audit, back testing, forward testing, benchmarking with the help of performance metrics
• Conduct exploratory data analysis, supervised, unsupervised and semi-supervised machine learning to identify fraud trend, segment and clusters, and optimization opportunity Robotic process automation to reduce the need for manual, repeatable processes
• Work closely with Technology team for model deployment and monitoring
• Work with the other data scientists and the team executive and stakeholders to help develop the data strategy for client protection to ensure the organization has the proper data to make the right decisions, with a priority on data availability in real-time, and generating true customer-level views able to make intelligent fraud decisions leveraging the entirety of our interactions with a customer

Qualifications

•  Strong programming skills in SQL, Python, Tableau and Microsoft 365 Tools (Excel, Word, Power Point, Etc)
• Strong knowledge of Machine learning, feature engineering and model deployment processes
• Ability to deliver analysis with clear reasoning and actionable conclusions
• Ability to think of creative solutions in constrained environments
• Strong analytical, organizational and communication skills
• Compile, interpret and present data directly to Clients in an effective manner
• Master’s degree in a quantitative discipline. Advance degree is preferred
• 6+ years of working experience in data science and analytics setting
• Fraud experience is a plus
• Candidate must have a proven track record of excellent relationship skills. Ability to understand business and technical requirements

Travel

• This position is remote.
• Travel is not required.

Radial is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.  

Radial is committed to ensuring that its online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please contact us by emailing? [email protected]. We will work to assist disabled job seekers whose disability prevents them from being able to apply online. 

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