Data Scientist
About the role
The banking client is seeking a Senior Data Scientist to join the Enterprise Analytics team. This role aims to leverage data-driven insights and opportunity discovery to fuel the company's growth.
Responsibilities
- Use advanced analytics methods to extract value from business data.
- Perform large-scale experimentation and build data-driven models to answer business questions.
- Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
- Determine requirements that will be used to train and evolve deep learning models and algorithms.
- Influence product teams through presentation of data-based recommendations.
- Perform other duties as assigned.
Requirements
- Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree.
- In lieu of a Master's degree, a Bachelor's degree with a minimum of 3 years' work experience in analytics or data science.
- Experience with R, RStudio, Python, SAS, SQL, NoSQL.
Preferred Qualifications
- Up-to-date knowledge of machine learning and data analytics tools and techniques.
- Experience in predictive modeling methodology.
- Experience leveraging both structured and unstructured data sources.
- Willingness and ability to learn new technologies on the job.
- Experience with big data analysis tools and techniques.
- Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines.
- Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling.
- Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker).
- Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret).
- Financial Services background.
Qualifications
- Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree.
- In lieu of a Master's degree, a Bachelor's degree with a minimum of 3 years' work experience in analytics or data science.
- Experience with R, RStudio, Python, SAS, SQL, NoSQL.
Skills
- Advanced analytics methods.
- Data-driven model building.
- Cutting-edge machine learning/deep learning/artificial intelligence techniques.
- Data visualization.
- Statistical analysis with advanced statistical software, scripting languages, and packages.
- Big data analysis tools and techniques.
- Cloud Machine Learning technologies (e.g., AWS Sagemaker).
- Machine learning environments (e.g., TensorFlow, scikit-learn, caret).
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