Fraud Data Scientist

Overview:

ForMotiv is a real-time web behavioral science company. Our SaaS platform monitors user-behavior in web applications, and makes web-speed recommendations (

As our data scientist, you will report to the CDO and work directly with the data science and account management teams.

Our tech stack runs entirely within AWS (and AWS Data experience is required), and leverages serverless, container-based facilities to create a highly performant and highly reliable service-based architecture.

Responsibilities:

• Role focuses on leveraging advanced analytics and ML to detect fraudulent activities across the insurance lifecycle and recommend interventions
• Develop fraud scoring systems to rank and prioritize problematic cases
• Listen to customer requirements and internal requests, query various data sources, mine data for insights, package and present results in a way that makes a recommendation or provides value for a customer
• Support the creation and maintenance of models in our predictive analytics ecosystem
• Assist senior data scientists and engineers in automating the movement and processing of data in a real-time and batch Machine Learning environment.
• Work with our Account Management team to standardize and productize valuable customer solutions

Qualifications:

• 4 year computer science or related degree (highly recommended, but may be waived with relevant experience)
• 5+ years of experience in data analytics or data science working primarily with cloud technologies at a reputable company with references (Insurance or Financial Services experience a plus)
• 3+ years of experience developing and implementing fraud solutions such as Account Opening Fraud, Enrollment Fraud, BOT detection, and data harvesting
• Strong mathematics and problem-solving skills
• Comfort communicating and presenting results to stakeholders and customers
• 5+ years experience using Python; experience using tools such as Jupyter Notebooks, Airflow, Spark, Hadoop/EMR, Sagemaker, S3, Glue, etc. a plus
• 5+ years of experience using SQL to analyze and combine data across a variety of sources
• Expertise interacting with multiple data storage types and products, such as S3, Postgres, Snowflake, HDFS, etc.
• Strong knowledge of of ML frameworks including xgboost and scikit-learn
• Expertise in statistical modeling and anomaly detection
• Self-motivated, proactive, organized and a willingness to learn (and be taught)
• You’re comfortable in a fast-paced, unstructured environment
• Eagerness to wear multiple hats and lend a hand to your teammates when called upon

Perks:

• Stock options with vested interest in growing the business
• Ground floor access to venture-backed technology start-up with global presence
• The chance to contribute to our growing culture and join a winning team
• Grow and advance in any number of potential roles including management

The 5 Cultural Characteristics we look for:

• Curiosity: You look at each day as an opportunity to learn something new, not as an opportunity to prove what you already know.
• Work ethic: You look at each day as an opportunity to get better for yourself and your team
• Empathy: You care how others feel around you, and you have the capacity to understand

• Teachable: You know your strengths and weaknesses and you aren’t afraid to ask for help; everybody you work with is smarter than you about something; willing to learn from everybody and willing to accept that you can always improve the way YOU work.
• Integrity: You have the judgment to do the right thing even when it’s not in your own self-interest

About ForMotiv:

We’re well financed and have earned the business of some of the world’s most well-respected financial services companies. We’re a scrappy, collaborative group that is open to challenging each other and believe in learning something new everyday.

Job Type: Full-time Remote