What are the responsibilities and job description for the Data Scientist position at Convergenz?
Responsibilities:
- Collect, clean, and preprocess large datasets from diverse sources.
- Apply advanced statistical analysis and machine learning techniques to address business challenges.
- Design and build predictive models and algorithms to optimize processes and improve outcomes.
- Develop dashboards and visualizations to effectively communicate insights to stakeholders.
- Collaborate with cross-functional teams (Product, Engineering, Risk, Marketing) to identify and leverage data-driven opportunities.
- Ensure data integrity, security, and compliance with organizational standards.
- Stay up to date with emerging technologies and best practices in data science and AI.
Required Qualifications:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
- Strong proficiency in Python, R, and SQL, with experience using data manipulation libraries (e.g., Pandas, NumPy).
- Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical modeling, hypothesis testing, and data visualization.
- Experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP).
- Excellent problem-solving skills and ability to communicate complex concepts clearly.
Preferred Qualifications:
- Background in risk modeling, financial services, or product analytics.
- Knowledge of MLOps and deploying models in production environments.
- Familiarity with data governance and compliance frameworks.
