Salary
💰 $73,100 - $136,800 per year
Tech Stack
AzureGreenplumHadoopOraclePythonRDBMSSparkSQLTableau
About the role
- As an Operations team member, you’ll play a crucial role in delivering world class customer service and capabilities to our policyholders – now and in the future.
- We are revolutionizing the analytics space in the Long-Term Care (LTC) Insurance industry via intuitive design, innovative solutions, and creative thought leadership.
- Using the latest analytic tools and processes, we are able to analyze our data to provide strategic insight leading to transformational change.
- We have repeatedly shown the value of our analytics team and continue to invest in our growing data science team.
- To help carry us even further, we are seeking an Associate Data Scientist to join our expanding, problem-solving team, supporting LTC Operations.
- This is a new role reporting to the Senior Data Science Manager in Operations Analytics, who is looking for a data-oriented individual with a self-starter attitude to join our expanding, problem-solving team.
- This individual will harness the power of data to enhance the analytics and predictive capabilities on our customers and processes, forecast trends, and provide analytical solutions for our business operations.
- What you will be doing
- Use programming skills to explore, examine and interpret large-scale data in various forms
- Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems and improve our analytical speed-to-insight
- Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
- Build automated dashboards and reports to monitor operational trends to promote a self-service culture for business partners
- Collaborate with data scientists and business analysts to understand project goals, gather business requirements, and develop analytical solutions to support our vision and strategy
- Interact with internal and external peers and managers to exchange complex information related to areas of specialization and expertise
Requirements
- Bachelor’s degree in a mathematics, data science, statistics, operations research, or other analytical or technical discipline
- A passion for problem solving, intellectual curiosity, and a customer experience mindset
- Subject matter expertise in advanced analytical and computational modeling data capabilities, utilizing Python
- Results-oriented, self-motivated, and the ability to demonstrate a sense of urgency and accountability for business problems
- Build collaborative and effective relationships with business partners
- Strong verbal/written communication skills to non-technical audiences
- Experience with database Rational Database Management System (RDBMS) technologies (e.g., SQL server, Greenplum, Oracle)
- Experience with big data technologies (e.g., Databricks, Azure, Hadoop, Spark, Hive)
- Experience with data visualization tools (e.g., PowerBI, Spotfire, Tableau, Python)
- Adherence to standard practices and use of version control tools such as GitHub/GitLab