LexisNexis Risk Solutions
Senior Data Scientist I (HYBRID)
LexisNexis Risk Solutions, Alpharetta, Georgia, United States, 30239
Senior Data Scientist I (HYBRID)
Apply locations: Alpharetta, GA Time type: Full time Posted on: Posted 4 Days Ago Job requisition id: R87222 About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. About the role: Develops, analyzes and models 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. You will be responsible for: Researching and developing statistical/machine learning models to analyze structured and unstructured data. Leading the design and development of data acquisition and machine learning models. Ideating, researching, and designing new analytics and data science methodologies. Storing, archiving, indexing, transferring, and analyzing large datasets. Working with peers to share subject matter expertise and develop knowledge base. Exploring and mining new data sources to optimize and validate existing models. Staying current on emerging knowledge and technologies. Consulting with internal stakeholders to assess and troubleshoot challenges. Making contributions to the team's success using technical and professional expertise. Helping develop and articulate a sound business and technical strategy. Establishing high standards that elevate the team's performance. Consistently communicating team goals and milestone achievements. Encouraging internal stakeholders to share best practices. All other duties as assigned. Qualifications: Minimum undergraduate degree in relevant field and 4+ years of relevant work experience, or a master’s degree in a relevant field and 2+ years of relevant work experience, or a PhD in a relevant field. Technical/Professional Expertise Domain expert in Data Science and/or Statistical Analysis. Able to scope out and execute new statistical steps with support from senior contacts. Data Skills Independently creates data steps to prepare and process data for analysis. Coding Skills Works across coding languages used in Data Science (e.g. Python, SQL, R, Java, C++). Project Management Skills Develops project milestones and executes for small-scale projects. Behavioral Competencies Establishes stretch goals and takes initiative. Fosters a team environment that emphasizes accountability. At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We actively welcome applications from candidates of diverse backgrounds and underrepresented groups. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to any characteristic protected by law.
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Apply locations: Alpharetta, GA Time type: Full time Posted on: Posted 4 Days Ago Job requisition id: R87222 About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. About the role: Develops, analyzes and models 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. You will be responsible for: Researching and developing statistical/machine learning models to analyze structured and unstructured data. Leading the design and development of data acquisition and machine learning models. Ideating, researching, and designing new analytics and data science methodologies. Storing, archiving, indexing, transferring, and analyzing large datasets. Working with peers to share subject matter expertise and develop knowledge base. Exploring and mining new data sources to optimize and validate existing models. Staying current on emerging knowledge and technologies. Consulting with internal stakeholders to assess and troubleshoot challenges. Making contributions to the team's success using technical and professional expertise. Helping develop and articulate a sound business and technical strategy. Establishing high standards that elevate the team's performance. Consistently communicating team goals and milestone achievements. Encouraging internal stakeholders to share best practices. All other duties as assigned. Qualifications: Minimum undergraduate degree in relevant field and 4+ years of relevant work experience, or a master’s degree in a relevant field and 2+ years of relevant work experience, or a PhD in a relevant field. Technical/Professional Expertise Domain expert in Data Science and/or Statistical Analysis. Able to scope out and execute new statistical steps with support from senior contacts. Data Skills Independently creates data steps to prepare and process data for analysis. Coding Skills Works across coding languages used in Data Science (e.g. Python, SQL, R, Java, C++). Project Management Skills Develops project milestones and executes for small-scale projects. Behavioral Competencies Establishes stretch goals and takes initiative. Fosters a team environment that emphasizes accountability. At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We actively welcome applications from candidates of diverse backgrounds and underrepresented groups. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to any characteristic protected by law.
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