Senior Quantitative Analyst/Data Scientist

Hiring for a highly skilled and experienced Senior Quantitative Analyst/Senior Data Scientist . The ideal candidate will have a strong background in Pricing, Statistical Modeling, and Machine Learning, along with proficiency in Python, SQL, and visualization tools. Experience with Data Warehousing and Azure is highly desirable.

Key Responsibilities:

• Develop and refine pricing models using advanced statistical and machine learning techniques.
• Analyze large and complex datasets to extract actionable insights that drive business decisions.
• Design, implement, and evaluate predictive models and algorithms to solve pricing and optimization problems.
• Collaborate with cross-functional teams to align analytics projects with business goals.
• Create compelling visualizations and dashboards to communicate data-driven insights to stakeholders.
• Optimize and maintain data workflows, pipelines, and data warehouses to ensure scalability and reliability.
• Contribute to the development and deployment of cloud-based analytics solutions, particularly on Azure.
• Stay updated with the latest advancements in data science, machine learning, and industry-specific practices.

Qualifications:

Educational Background: Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field. A PhD is a plus.

Experience: Minimum of 5 years of experience in a similar role, with a strong focus on pricing analytics.

Technical Skills:

• Proficiency in Python (including libraries like pandas, scikit-learn, numpy, etc.).
• Strong SQL skills for data manipulation and querying.
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
• Familiarity with machine learning frameworks and statistical modeling techniques.
• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift) is highly desirable.
• Experience with Azure cloud services, including Data Factory, Databricks, or similar, is a plus.