Senior Data Scientist I

RELX; Alpharetta (GA); Remote; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a skilled Data Analyst to join their innovative team. This role involves developing and analyzing operational and economic data to enhance competitive performance and recommend solutions to complex problems. You will leverage your expertise in statistical analysis, predictive modeling, and data visualization to drive impactful insights from large datasets. With the flexibility to telecommute from anywhere in the U.S., this position offers a unique opportunity to contribute to transformative projects in the property and casualty insurance sector. If you are passionate about data-driven decision-making and eager to make a difference, this is the perfect role for you.

Qualifications

• 3+ years of experience in data analysis and modeling.
• Proficient in SAS, R, or Python for data manipulation.

Responsibilities

• Develop and analyze operational and economic data for performance evaluation.
• Recommend solutions to complex problems using statistical methodologies.

Skills

Statistical Analysis

Data Manipulation

Predictive Modeling

Data Visualization

Big Data Analytics

SAS

R

Python

SQL

Education

Master’s degree in Data Science

Master’s degree in Mathematics

Master’s degree in Statistics

Tools

Power BI

MS Excel

Statistical Packages

Job description

JOB DESCRIPTION:

• Develop, analyze and model operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies. Analyze organizational data to recommend solutions to new and complex problems, develop innovative strategies, quantify the competitive performance of the organization's operations and/or markets; model and evaluate the potential impact of changes. Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources. Perform other duties as needed.

REQUIREMENTS:

• Master’s degree (or foreign equivalent) in Data Science, Mathematics, Statistics, or a related field required.
• 3 years of experience in job offered or related occupations required.
• Also required is: 2 years of experience using SAS, R, or Python or similar statistical computer languages to manipulate data and draw insights from large data sets; working with statistical methodologies, including linear regression and logistic regression, performing statistical modeling and using data mining techniques, including GLM/Regression, Random Forest, Trees, and text mining; analyzing and processing large data sets and matching/merging multiple data sets using big data analytics tools such as SQL or similar languages; using visualization tools like Power BI or advanced features of MS Excel, including pivot table VBA macro and statistical packages; and visualizing/presenting data to stakeholders; and working in property and casualty insurance data analytics or marketing data analytics.
• Employee reports to LexisNexis Risk Solutions, Inc. office in Alpharetta, GA, but may telecommute from any location within the U.S.
• Experience can be concurrent.