Senior Data Scientist

Senior Data ScientistThis is an excellent opportunity to join a new team developing innovative AI solutions for a global technology and services company that is a leader in their industry.RESPONSIBILITIES:Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.Design and execute experiments to test hypotheses and validate models.Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.Build and maintain scalable data pipelines and data processing systems.Communicate findings and recommendations to stakeholders, including non-technical audiences, through visualizations, reports, and presentations.Stay updated on advancements in data science, machine learning, and analytics.Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.Collaborate with the Enterprise Analytics team to integrate new practices and technologies.This opportunity is a direct-hire position, and you can be based in Richmond, Virginia (highly preferred) or Irving, Texas. You can telecommute two days a week. Our fantastic benefits package includes a stock purchase program, bonus plan, 401k match, paid parental leave, wellness programs, volunteer days, training and education assistance programs, and comprehensive healthcare insurance.REQUIRED SKILLS:7+ years as a Data Scientist

developing and applying advanced analytics solutionsHands-on experience

building and delivering LLM and ML models and workflowsExtensive professional experience with Big Data systems, data pipelines, and data processingFamiliarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and

Cloud

Platforms like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP, and AzureHands-on experience working on analytical platforms like SAS, R, Python, Azure MLExpertise in Unix Shell scripting and Dependency-driven job schedulersAbility to understand API Specs, identify relevant API calls, extract data, and implement data pipelines & SQL-friendly data structuresExcellent communication and interpersonal skills, with the ability to engage and influence technical teams, business leaders, and external partnersDemonstrated expertise in building and deploying AI/Machine Learning solutions at scaleProficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn)Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniquesProficient in applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression, or similarBachelor’s or Master's DegreePREFERRED SKILLS:HealthcareAzureDatabricksAIExpertise in Data visualization tools such as Power BI, Tableau, and Looker

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