Job Description
Job Description
ComResource 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