Job description
About the Role
We are looking for a highly skilled Data Analyst with experience in AI/ML projects. This role requires expertise in data analysis, model evaluation, and working with AI-driven solutions to extract insights, optimize processes, and drive business impact. The ideal candidate has a strong background in SQL, Python, data visualization, and cloud platforms (AWS, Azure, or GCP) and can collaborate effectively with AI/ML teams to support decision-making and model performance monitoring.
Key Responsibilities
- Analyze large datasets to identify trends, anomalies, and insights that enhance AI/ML model performance.
- Collaborate with Data Scientists and ML Engineers to support model development, validation, and monitoring.
- Build and optimize data pipelines and ETL processes for AI/ML projects.
- Develop dashboards and reports using tools like Power BI, Tableau, or Looker for data-driven decision-making.
- Perform data quality checks, anomaly detection, and root cause analysis on AI-generated outputs.
- Work with structured and unstructured data, including text, images, and time-series data.
- Communicate insights and findings to stakeholders, including technical and non-technical teams.
- Support A/B testing and experimental analysis for AI-driven features.
- Ensure compliance with data governance, privacy, and security best practices.
Required Skills & Qualifications
- 5+ years of experience in data analysis, data engineering, or a related field.
- Proficiency in SQL for querying and manipulating large datasets.
- Strong experience with Python (Pandas, NumPy, SciPy, or similar libraries).
- Familiarity with AI/ML concepts, model evaluation metrics, and ML lifecycle.
- Experience with data visualization tools (Tableau, Power BI, Looker, or Matplotlib/Seaborn in Python).
- Hands-on experience with cloud services (AWS, Azure, or GCP) for data processing and storage (S3, Redshift, BigQuery, Databricks, etc.).
- Knowledge of statistical analysis, hypothesis testing, and A/B testing methodologies.
- Experience working with AI-driven products or analytics in ML workflows.
- Strong problem-solving and analytical thinking skills.
- Excellent communication skills to present findings to stakeholders.
Preferred Qualifications
- Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with MLOps or AutoML tools.
- Background in NLP, predictive modeling, or time-series forecasting.
- Experience with big data technologies (Spark, Snowflake, Hadoop).
- Previous experience in a regulated industry (healthcare).
Job Types: Full-time, Contract
Pay: $55.00 - $60.00 per hour
Expected hours: 40 per week
Experience:
- MLOps or AutoML tools: 3 years (Required)
- AI-driven products or analytics in ML workflows: 3 years (Required)
- Python (Pandas, NumPy, SciPy, or similar libraries): 3 years (Required)
- big data technologies (Spark, Snowflake, Hadoop): 3 years (Required)
Work Location: Remote
