Senior Data Scientist
Seattle/Bellevue, WA
Applications have closed
Assurance IQ, LLC
Shop with us for all your insurance and personal finance needs. Compare quotes and coverages to find the best policies for you.
About AssuranceAt Assurance we are disrupting the antiquated and inefficient world of insurance and financial services. Our team of world class software engineers, data scientists, and business professionals are modernizing how people obtain and manage their financial life all through our powerful platform ecosystem. We are rapidly growing as we expand our product offerings and global footprint, and this growth continues to present new and exciting challenges as we push our industry into its future. We eliminate waste throughout the industry and calculate the complex into simple, valuable solutions to improve people's lives. We are humble, driven, and committed to improving the lives of millions.
About the Position As we build the future of consumer insurance in a modern age, data is at the core of everything that we do. The role requires team members who are adept at using large data sets to find opportunities for optimization and can leverage appropriate models to test the effectiveness of different courses of action. Our team uses a variety of data mining and analysis methods, a variety of data tools, builds and implements models, develops algorithms, and creates simulations. Team members must be very comfortable writing production-ready code to include testing and maintenance infrastructure, and able to put models and analysis into production with no support from engineering (we own our stack end to end). At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise.
About You You have a proven ability to drive business results with data-based insights and are comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. You’re capable of getting data for analysis on your own, without reliance on engineering, and you can build professional dashboards as standalone software products and tools. We’re growing at a rapid pace, so it’s important that you embrace the opportunity to blaze your own trail. You thrive in a fast-paced environment where priorities can shift rapidly as we corner opportunity. You can work independently, with little oversight or guidance.
Please review our CCPA policies here.
About the Position As we build the future of consumer insurance in a modern age, data is at the core of everything that we do. The role requires team members who are adept at using large data sets to find opportunities for optimization and can leverage appropriate models to test the effectiveness of different courses of action. Our team uses a variety of data mining and analysis methods, a variety of data tools, builds and implements models, develops algorithms, and creates simulations. Team members must be very comfortable writing production-ready code to include testing and maintenance infrastructure, and able to put models and analysis into production with no support from engineering (we own our stack end to end). At Assurance, we hire experts in their field, and we give them the independence and trust to build based on their expertise.
About You You have a proven ability to drive business results with data-based insights and are comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. You’re capable of getting data for analysis on your own, without reliance on engineering, and you can build professional dashboards as standalone software products and tools. We’re growing at a rapid pace, so it’s important that you embrace the opportunity to blaze your own trail. You thrive in a fast-paced environment where priorities can shift rapidly as we corner opportunity. You can work independently, with little oversight or guidance.
To be successful in this role, you must possess the following:
- Proficiency in either Python or R, and expertise in SQL.
- Experience working with AWS or another cloud-based computing platform.
- Experience and working knowledge of data infrastructure, pipelines, and advanced data manipulation.
- Experience with BI tools like Tableau or Looker (preferred), or any other industry tool such Qlik, PowerBI, Spotfire, etc.
- Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked.
- Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business.
- Enthusiastic yet humble – you are excited about the work you do, but you are also humble enough to embrace feedback – you don’t need to be the smartest person in the room.
- Bachelors degree in mathematics, statistics, data science or related field of study.
The following additional experience is desired:
- Experience retraining a model within a few days or update a model within one day.
- Capable of performing an in-depth analysis and summarizing findings in one day.
- Comfortable having conversations with our executive team and non-technical team members to distill down their needs and to deliver actionable insights.
Please review our CCPA policies here.
Tags: AWS Data Mining Engineering Looker Mathematics Pipelines Power BI Python Qlik R Spotfire SQL Statistics Tableau Testing
Region:
North America
Country:
United States
Job stats:
9
1
0
Category:
Data Science Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs