Shelby American, Inc.
Data Scientist
Shelby American, Inc., Richmond, Virginia, United States, 23214
GXM is seeking to hire an experienced and talented Data Scientist with a passion for research and analyzing complex datasets, to provide actionable insights. A candidate should have the ability to collect, analyze, and interpret large datasets to generate predictive models and statistical analyses. The Data Scientist will collaborate with cross-functional teams, including business stakeholders and technical teams, to translate data into valuable insights. This role requires a deep understanding of collecting preprocessed structured and unstructured data from sources such as SQL/NoSQL databases, APIs, and external datasets.Duties include but are not limited to:
Analyze large datasets to identify key trends, patterns, and correlations that inform business strategies.Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies in the data.Build and validate predictive models using statistical techniques (e.g., regression analysis, time series forecasting).Use statistical software (e.g., R, SAS, SPSS) and programming languages (e.g., Python, SQL) to conduct data analysis.Create data visualizations (e.g., using Tableau, Power BI, or matplotlib) to communicate findings and insights to stakeholders.Collaborate with business teams to understand their objectives and use data to guide decision-making.Develop tools and algorithms to automate repetitive data tasks, improving workflow efficiency.Ensure that data handling complies with relevant data protection laws, privacy policies, and ethical guidelines.Maintain documentation of data sources, models, and methodologies for auditability and reproducibility.Work closely with other engineering teams to integrate data-driven solutions into various business functions.Requirements:
MUST BE A US CITIZENTS/SCI required; CI Poly DesiredMust be able to work on-site (FT Meade) 5 days a weekBachelor's degree or equivalent combination of education and experience5+ years of experience in an IT related field or similar roleStrong experience with statistical software (e.g., R, SAS, SPSS) and programming languages (e.g., Python, SQL)Excellent communication skills and strong attention to detailProficiency with MS Office suiteProficiency in Jira, Confluence, or similar issue tracking systems
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Analyze large datasets to identify key trends, patterns, and correlations that inform business strategies.Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies in the data.Build and validate predictive models using statistical techniques (e.g., regression analysis, time series forecasting).Use statistical software (e.g., R, SAS, SPSS) and programming languages (e.g., Python, SQL) to conduct data analysis.Create data visualizations (e.g., using Tableau, Power BI, or matplotlib) to communicate findings and insights to stakeholders.Collaborate with business teams to understand their objectives and use data to guide decision-making.Develop tools and algorithms to automate repetitive data tasks, improving workflow efficiency.Ensure that data handling complies with relevant data protection laws, privacy policies, and ethical guidelines.Maintain documentation of data sources, models, and methodologies for auditability and reproducibility.Work closely with other engineering teams to integrate data-driven solutions into various business functions.Requirements:
MUST BE A US CITIZENTS/SCI required; CI Poly DesiredMust be able to work on-site (FT Meade) 5 days a weekBachelor's degree or equivalent combination of education and experience5+ years of experience in an IT related field or similar roleStrong experience with statistical software (e.g., R, SAS, SPSS) and programming languages (e.g., Python, SQL)Excellent communication skills and strong attention to detailProficiency with MS Office suiteProficiency in Jira, Confluence, or similar issue tracking systems
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