Data scientist

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Sriven Systems Inc., is seeking the following. Apply via Dice today!Data Scientist, Hybrid (Richmond, VA)(Prefer local)Skills And Experience5+ years of hands-on experience in Data Science using Python and/or R, with a strong focus on analyzing large, complex, and high‑volume datasetsProven ability to translate complex analytical findings into clear, actionable insights for business leaders, engineers, operations teams, and executivesExperience designing, developing, and deploying advanced analytics and machine learning solutions aligned to business objectivesAbility to create clear, interpretable visualizations that tell a compelling story, support decision‑making, and align with executive‑level messagingDemonstrated experience creating interactive dashboards, reports, and applications (e.g., RShiny, Power BI, Streamlit, Dash) for business consumptionStrong experience working with structured, semi‑structured, and unstructured data (e.g., sensor/SCADA data, time‑series data, text, images)Expertise across machine learning, statistical modeling, forecasting, optimization, and anomaly detection, with real‑world application experienceExperience or working knowledge of MLOps practices including model development lifecycle management, automated testing, CI/CD pipelines, version control, and deployment (e.g., MLflow, Dataiku, Azure ML, or similar tools)Strong understanding of model monitoring, including performance tracking, explainability, bias detection, model drift, and reproducibility in production environmentsExperience or working knowledge of data engineering concepts, including data ingestion, transformation, feature engineering, and data quality controlsExperience with cloud and modern analytics platforms (AWS, Azure, Google Cloud Platform, Snowflake, Databricks, or similar) is a strong plusUnderstanding of governance, security, and regulatory requirements for enterprise and utility data environments is preferred