Data Scientist

LexisNexis Risk Solutions; Alpharetta (GA); On-site; USD 95,300 - 158,800; Full time

Job summary

LexisNexis Risk Solutions in Alpharetta, GA is hiring a Senior Data Scientist I to join the Auto Insurance Rating Analytics team. You will define project scope and execute independently, modeling complex data and guiding junior staff.

Requirements include a bachelor’s in a quantitative field, 3+ years of data manipulation and ML experience, and strong Python/R with ML libraries. Cloud experience (Azure/AWS) is preferred.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science or quantitative field.
• 3+ years in data manipulation and AI/ML methods, preferably with credit data for risk/insurance.
• Strong programming in Python and/or R with standard ML packages.

Responsibilities

• Develop, analyze and model operational and business data to quantify performance.
• Analyze data to recommend solutions and design innovative strategies.
• Apply statistical, mathematical and ML skills to manage high-volume data from diverse sources.

Skills

Python

R

SQL

XGBoost

PyTorch

Pandas

NumPy

Scikit-learn

Spark

Azure/AWS

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science

Master’s/Ph.D. degree preferred

Tools

Pyspark

Azure

AWS

Hadoop

Job description

## Data ScientistApplylocations: Alpharetta, GAtime type: Full timeposted on: Posted Todayjob requisition id: R115426Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact?Do you enjoy solving complex analytical challenges, working with large-scale data, and helping teams deliver innovative solutions in a collaborative environment?**About the Business**LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, 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. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle – all while reducing risk. You can learn more about LexisNexis Risk at the link below.https://risk.lexisnexis.com/insurance**About our Team**We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse team of data scientists on the Auto Insurance Rating Analytics team. This individual will play a key role in new product innovation, model development, generating actionable insights, and working closely with the Vertical and Product teams to design and implement new solutions that are cutting edge and support the insurance market.**About the Role**A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. A Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.**Responsibilities**:* Developing, analyzing, and modeling 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* Analyzing organizational data to recommend solutions to new and complex problems, developing innovative strategies, quantifying the competitive performance of the organization's operations and/or markets; modeling and evaluating the potential impact of changes* Applying and integrating statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources* Functional Knowledge: Conceptual and practical expertise in own area required* Business Expertise: Has knowledge of best practices and how subject matter expertise integrates with others; is aware of the competition and the factors that differentiate the company in the market* Leadership: Occasionally leads the work of small project teams; provides informal guidance to junior staff* Problem Solving: Typically resolves problems using existing solutions* Impact: Works with minimal guidance* Interpersonal Skills: Explains difficult or sensitive information, models auto insurance risk, particularly in the context of credit-based data sources, generally using GLM techniques* Supports existing models* Python experience required* Cloud experience preferred* 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* Analyzes organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets; models and evaluates the potential impact of changes* Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources**Requirements**:* Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline (or equivalent years of experience); Master’s/Ph.D. degree preferred. Actuarial experience/certification also preferred.* 3+ years demonstrated experience in data manipulation and various AI/ML methodologies, preferably in applications using credit data for insurance or financial services* Strong expertise in one or more of the following: R, Python, SQL, or equivalent analytic software* Experience manipulating and merging multiple large data sets in a distributed computing environment* Solid understanding of ML techniques, including hypothesis testing, sample design, model development (linear and non-linear models), validation of machine learning models* Strong programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages (pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala* Strong ability as a self-starter to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and to share cross-functional knowledge across the teams**Risk benefit statement**Learn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.**We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click** **here** **to access benefits specific to your location.**We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.**Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams** **here****.**Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.