Job responsibilities
- Lead the development and implementation of data science models to address business needs and optimize processes.
- Quantify and accelerate the impact of SDLC and GenAI practices across CCB to drive innovation and enhance business performance.
- Collaborate with cross-functional teams to identify opportunities for applying data science solutions to enhance product development and operational efficiency.
- Conduct data modeling experiments, evaluate against baselines, and extract key statistical insights to inform business strategies.
- Utilize large-scale data processing frameworks to extract value from structured and unstructured data.
- Prepare and deliver presentations that incorporate compelling data narratives and storytelling to summarize sharp insights and conclusions for executives and stakeholders.
- Mentor and provide oversight for junior data analysts to foster a collaborative and impactful working culture.
Required qualifications, capabilities, and skills
- Bachelor's degree in Computer Science, Data Science, or a related field
- At least 8 years of experience in programming languages like Python and applying data science techniques to solve business problems
- Strong understanding of statistical techniques, including data mining, data transformations, text mining, and data visualization
- Superior written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions.
- Ability to be proactive, results-driven, and have a proven track record of execution
- Demonstrates people management and team-building skills
Preferred qualifications, capabilities, and skills
- Master's degree preferred in Computer Science, Data Science, or a related field
- Experience in AI/ML applications and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP).
- Familiarity with Financial Services or similar industries
- Experience building ML models in a cloud environment and with Big Data Platforms such as Hadoop
- Outstanding written/verbal communication and presentation skills
- Comfort with ambiguity and proven ability to structure problems
- Team-oriented collaborator