Senior Data Scientist

• Background
• ForMotiv is a real-time digital behavioral science company. Our SaaS platform monitors user behavior in web applications and delivers web-speed recommendations (<100ms) to improve conversion rates, quantify risks, and reduce fraud. The behavioral data we capture and share with customers is unique, 1st-party, and doesn’t contain any PII information. The ForMotiv platform processes over 100 million monthly application journeys and drives value across a variety of use cases for customers ranging from unicorn InsurTechs and to Top 10 Insurance Carriers. You’ll recognize our customer brands.

• Job Description
• We’re looking for a senior data scientist to join our data science team. We’re a high-growth company, and this is a hands-on position that bridges the data science, engineering, and account management teams. We’re actively creating turnkey behavioral data science products and seeking a data scientist to drive customer solutions, uncover customer data trends, and develop products. This is a rare opportunity to get in on the ground floor of a rapidly growing international startup. As a senior data scientist, you will report to the Head of Data Science and work directly with the data science, engineering, and account management teams.
• Our tech stack runs entirely within AWS, and leverages serverless, container-based facilities to create a highly performant and highly reliable service-based architecture.

Responsibilities:

• 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 and Engineering teams to standardize and productize valuable customer solutions

Qualifications:

• 4 year computer science, statistics, or related degree (highly recommended, but may be waived with relevant experience)
• 5+ years of experience in data analytics or data science working with cloud technologies (AWS experience is a plus)
• 3+ years of experience solving data science problems in the Property & Casualty Industry (Auto, Home or Small Commercial)
• 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 experience using SQL to analyze and combine data across a variety of sources
• Expertise in interacting with multiple data storage types and products, such as S3,Postgres, Redshift, Snowflake, HDFS, etc.
• 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