About the role
Job Requirements:
- Collect, clean, and preprocess structured and unstructured data from multiple sources - Perform exploratory data analysis (EDA) to identify trends and patterns - Develop, validate, and deploy machine learning and predictive models - Design and implement data pipelines and automation workflows - Translate business problems into analytical solutions - Collaborate with cross-functional teams including engineering, product, operations, and leadership - Communicate findings through reports, dashboards, and data visualizations - Monitor model performance and continuously improve algorithms
- Ensure data integrity, quality, security, and governance complaince.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
- 2+ years of experience in data analysis, machine learning, or related role - Strong programming skills in Python or R - Proficiency in SQL and working with relational databases - Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) - Strong understanding of statistics and probability - Experience with data visualization tools (Power BI, Tableau, Matplotlib, etc.) - Familiarity with cloud platforms (AWS, Azure, or GCP) - Knowledge of big data tools such as Spark or Hadoop - Understanding of MLOps concepts and model deployment processes - Strong analytical thinking and problem-solving skills - Excellent communication skills - Ability to work independently and collaboratively
Benefits
- Annual bonus
- Health insurance and wellness programs - Professional development and training opportunities
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