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Mid LevelFull-timePythonAWSGCPAzureDockerMachine LearningData ScienceCI/CDGit
Salary Range
$20,400 - $27,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
Key Responsibilities
- →Analyze structured data and apply statistical and machine learning techniques
- →Translate business problems into scalable analytical solutions
- →Work with cross-functional teams to deliver actionable insights
- →Communicate findings clearly to both technical and non-technical stakeholders
- →Support data-driven decision-making in a fast-paced environment
Requirements
- ✓6+ years of professional experience in data science, machine learning, or analytics
- ✓Understanding of predictive modeling techniques and statistical analysis methods
- ✓Proficiency in Python (pandas, scikit-learn, numpy, matplotlib) and SQL
- ✓Experience with cloud-based data platforms (AWS, GCP, or Azure)
- ✓Hands-on experience building and validating machine learning models
- ✓Strong communication skills to present technical findings
- ✓Experience with version control systems (e.g., Git)
- ✓Strong problem-solving skills and attention to detail
- ✓Preferred Additional Skills
- ✓Experience in digital marketing analytics or marketing technology applications
- ✓Advanced machine learning techniques (XGBoost, ensemble methods)
- ✓Knowledge of A/B testing and experimental design methodologies
- ✓Experience with MLOps tools and model deployment (MLflow, Docker, CI/CD pipelines)
- ✓Understanding of customer segmentation, attribution modeling, or campaign optimization
- ✓Experience with data visualization tools (Tableau, Power BI, or similar)
- ✓Knowledge of web analytics and digital marketing metrics (CTR, conversion rates, LTV)
