Imperial Dade is seeking a Data Scientist to develop, enhance, and maintain critical pricing models, leveraging advanced data engineering and machine learning techniques to drive high-impact business decisions.
Requirements
- Proficiency in Python or R, with hands-on experience using libraries like pandas, scikit-learn, TensorFlow, or similar.
- Strong SQL skills and experience working with large datasets.
- Solid understanding of machine learning algorithms, statistical modeling, and experimental design.
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
- Familiarity with cloud platforms (Azure, AWS, GCP)
- Experience working with big data frameworks (Spark, Hadoop, Databricks)
Responsibilities
- Analyze structured and unstructured datasets to identify patterns, trends, and insights.
- Build, validate, and deploy machine learning models to solve real-world business problems.
- Conduct A/B testing and experimental analysis to optimize product features and business processes.
- Visualize data effectively and present results in clear, compelling formats.
- Ensure data integrity, perform data cleaning, and improve data quality pipelines as needed.
- Collaborate with cross-functional teams and business stakeholders to define data needs and translate insights into actionable strategies
Other
- Master's or PhD in data science, Computer Science, Statistics, Mathematics, or a related field.
- 2–4 years of experience working in a data science or advanced analytics role.
- Excellent problem-solving skills and the ability to communicate technical results to non-technical audiences.
- Competitive salaries and benefits (medical, dental, vision), a 401(k) program with company match, a shared ownership program, life insurance, a generous paid time off package, educational reimbursement, paid family leave, and adoption assistance.
