[Full Remote] Data Scientist

Joinrs US; United States; Remote; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Data Analyst to drive insights across various insurance lines. In this dynamic role, you will leverage your expertise in statistical analysis, data modeling, and machine learning to analyze complex datasets, helping the organization identify and mitigate risks. Collaborating with cross-functional teams, you will present your findings to diverse audiences, ensuring data-driven decision-making. If you are passionate about data and eager to make an impact in the insurance sector, this opportunity is perfect for you. Join a forward-thinking company that values innovation and analytical excellence!

Qualifications

• 2 years of experience in statistical analysis and data modeling required.
• Expertise in machine learning techniques and data mining of complex datasets.

Responsibilities

• Conduct analyses on data to support insurance decision-making.
• Present findings to internal and external customers.

Skills

Statistical Analysis

Data Modeling

Machine Learning

Data Manipulation

Data Normalization

Forecasting

Network Analysis

Image Recognition

Education

Master’s Degree in Data Science

Master’s Degree in Mathematics

Master’s Degree in Actuarial Science

Job description

JOB DESCRIPTION:

• Conduct analyses on data from various sources to support insurance decision making across auto, home, commercial, and life lines of business. Independently perform analytical tasks including, but not limited to, programming/data manipulation, data normalization, trending and forecasting, statistical/predictive modeling, network analysis, and image recognition. Have domain expertise in the lines of business, points in the insurance continuum, products, and data sources that they regularly work with. Under guidance of manager or principal, present work efforts, results, and conclusions to other analytics associates, our internal customers, and potentially to external customers in a manner appropriate to the audiences' level of understanding. Perform other duties as needed.

REQUIREMENTS:

• Master’s or foreign equivalent degree in Data Science, Mathematics, Actuarial Science, or a related field required.
• 2 years of experience in job offered or related occupations required.

• Also required is: 2 years of experience applying statistical analysis, data modeling and machine learning techniques to complex datasets, helping businesses identify and mitigate risk; in statistical analysis, data mining and mathematics, and analyze trends or patterns; collaborating with database developers as a data strategist, driving dataset optimization and development; in business process analysis and optimization through application of statistical and data modeling methodologies; and in data mining of large structured and unstructured variables and datasets, driving business insights and process/system enhancements.