Data Scientist

Job DescriptionComResource is looking for a Data Scientist.Responsibilities:Develop and validate predictive and prescriptive models using advanced analytical techniques including machine learning, statistical modeling, optimization, and simulation.Perform rigorous feature engineering, iterative model improvement, and implement A/B testing strategies.Deploy models into production environments adhering to best practices in DevOps, including documentation, version control, and continuous integration.Conduct regular monitoring and maintenance of models, addressing performance degradation and proactively updating based on new data or evolving business needs.Collaborate with Data Engineers and MLOps professionals to ensure seamless integration and operational reliability of deployed models.Actively engage with cross-functional team members including business analysts, data engineers, architects, product management, and subject matter experts to align analytics solutions to strategic goals.Mentor junior team members, conduct code reviews, and contribute to team skill development.Evaluate emerging technologies and analytical tools and recommend adoption when beneficial.Essentials:Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, or a related quantitative field.3–5 years of practical experience in advanced analytics, predictive modeling, and feature engineering.Strong programming proficiency in Python and SQL, and familiarity with scripting languages such as Bash or PowerShell.Experience deploying models using DevOps methodologies including CI/CD, containerization, and version control with Git.Demonstrated experience with common data science methodologies including decision trees, neural networks, regression, time-series analysis, PCA, and ensemble modeling.Effective communication skills with the ability to clearly present complex insights to technical and non-technical stakeholders.Understanding of data governance, privacy, and ethical considerations in data handling.Desired:Master's degree or relevant professional certifications.Familiarity with cloud services including Oracle Cloud Infrastructure (OCI) and experience in multi-cloud environments such as AWS, Azure, or GCP.Experience with model-drift detection and automated monitoring solutions.Req ID: RB41579983