Senior Data Scientist

FORMOTIV LLC
United States
14 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Amazon S3 Cloud Computing Customer Data Management Data Mining Apache Hadoop Hadoop Distributed File System Python (Programming Language) PostgreSQL Machine Learning SQL Databases
+7 more
Jupyter Notebook Data Storage Technologies Snowflake Apache Spark Information Technology Data Analytics Amazon Redshift

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., * 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

Requirements

  • 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

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann Chris Heilmann +3 · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:44 min

Automating storage savings with S3 intelligent tiering

Sébastien Stormacq · World Congress 2021

Videos

See all

Related articles

See all