Description

QUALIFICATIONS AND ROLE

· Master’s degree (or equivalent technical degree) in Statistics, Computer Science, Data Science, Applied Mathematics, Economics, Engineering, or a related quantitative field.

· 5+ years of quantitative industry experience solving complex business problems using data science methods.

3 + years in Good m ML  modeling and classification.

· 3+ years of strong, hands-on experience with Python and advanced SQL, including experience with data modeling and query optimization for complex analytical workloads.

· Deep knowledge of statistical concepts (e.g., hypothesis testing, regression analysis, experimental design, probability distributions) and core machine learning techniques (supervised/unsupervised learning, tree-based models, time-series analysis).

· Hands-on proficiency with Python data science libraries (e.g., pandas, numpy, scikit-learn, etc.).

· Strong proficiency in data visualization and business intelligence—translating granular, complex data into intuitive dashboards and stories (e.g., Power BI, Tableau, Matplotlib, Seaborn).

· Experience cleaning, aggregating, and pre-processing large datasets from varied relational and cloud databases.

· Experience working in cloud environments (GCP, AWS, or Azure).

· Strong problem-solving abilities with a proven track record of applying statistical rigor and ML techniques to real-world business challenges.

· Excellent verbal and written communication skills; ability to articulate technical concepts and statistical findings to both technical peers and non-technical business partners.

NICE TO HAVE

· Experience with Deep Learning (DL)frameworks (e.g., TensorFlow, PyTorch) and architecture (e.g., neural networks, transformers, sequence modeling).

· Experience with AI Agent frameworks (e.g., Google ADK, LangChain).

· Familiarity with MLOps best practices, model deployment pipelines, model monitoring, or containerization (Docker, Kubernetes).

· Exposure to production data engineering tools and pipeline orchestration (e.g., Airflow)

Key Skills

Education

Bachelor's or Master's degrees