Über
Visa : All apart from h1b and cpt
Description :
About the job
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.
Sprachkenntnisse
- English
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