Elder Research is hiring: Data Scientist in State Farm

Data Scientist Location: Arlington, VA (Hybrid, Candidates Must Be in the Washington DC area) Clearance Required: Must have an ACTIVE SECRET CLEARANCE: ACTIVE TOP-SECRET PERFERRED Data Driven. People Centered. Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs. Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. Summary of Position: As a Data Scientist you will work closely with clients, managers, and technical teams to understand business needs, develop analytical strategies, and deliver data-driven insights to address complex challenges. Your primary role will involve creating and applying advanced statistical models, machine learning algorithms, and analytical frameworks to detect and mitigate financial crimes effectively. You will leverage your Data Science expertise to ensure analytical solutions align with regulatory requirements, focusing on identifying patterns, anomalies, and risks in large structured and unstructured datasets. Additionally, you will collaborate with technical teams to integrate models into existing applications or visualization platforms, driving actionable insights that support compliance and risk management efforts. Summary of Position: As a Data Scientist you will work closely with clients, managers, and technical teams to understand business needs, develop analytical strategies, and deliver data-driven insights to address complex challenges. Your primary role will involve creating and applying advanced statistical models, machine learning algorithms, and analytical frameworks to detect and mitigate financial crimes effectively. You will leverage your Data Science expertise to ensure analytical solutions align with regulatory requirements, focusing on identifying patterns, anomalies, and risks in large structured and unstructured datasets. Additionally, you will collaborate with technical teams to integrate models into existing applications or visualization platforms, driving actionable insights that support compliance and risk management efforts. Essential Functions: Exploration, cleaning, and wrangling to understand available data Meetings and discussions with clients and co-workers to refine understanding of the business problem at hand Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline Writing re-usable code in R, Python, Java, Scala, SQL, or other languages, and working to refine it through code review and discussion Applying statistics to understand the significance of different attributes Preparing presentations, writing reports, and working to communicate technical results to clients with varying levels of analytic sophistication Ability to work independently in a collaborative, dynamic, cross-functional environment Must be able to work in a Secret or Top-Secret Clearance Capacity Job Specifications/Requirements: Must have an ACTIVE SECRET CLEARANCE: ACTIVE TOP SECRET PERFERRED Must have 2-4 Years Data Science Experience Possess undergraduate and graduate degrees in fields such as engineering, computer science, analytics, math, finance, accounting, MIS, social sciences, physics, or decision science. Design, build, and deploy data pipelines to transform raw data into formats ready for analysis, supporting machine learning (ML) models using Python, R, and SQL. Extensive experience in complex data analysis, programming, and computer modeling, including simulation, forecasting, and both quantitative and qualitative analysis methods. Develop and improve end-to-end ML pipelines, integrating back-end and front-end components in cloud and on-premises environments. Strong background in research and delivering analytical technologies, with a focus on Agile methodologies for deploying analytical solutions. Proficient in data manipulation, modeling, and applying quantitative/statistical, qualitative, and predictive analytics techniques. Strong expertise in SAS applications. Skilled in advanced data analysis techniques like statistical sampling, regression analysis, link analysis, geospatial analysis, social network analysis, and data mining. Experienced in designing programming algorithms, business rule models, and query parameters to extract, validate, compare, and analyze data from multiple sources, supporting activity, pattern, and trend analysis. Experience with querying and analyzing financial and accounting datasets Desired Skills: Master's degree or higher with significant coursework in mathematics, statistics, computer science, data science, engineering, or a related field that provides a strong theoretical base in mathematics and statistics. One (1) to three (3) years of experience using programming languages (e.g., Python, R) and advanced statistical methods (e.g., inferential, predictive) to analyze complex datasets to uncover insights to real-world problems. Experience with graph and network analytics and analysis Experience with entity resolution techniques Experience using Azure cloud products such as Azure Databricks, Azure DevOps, Azure Machine Learning Studio, and Azure Kubernetes Services About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.