Job DescriptionThe
Data Scientist II is a technical expert that will help address critical business needs by focusing on exploratory data analysis, feature engineering, building and validating predictive/statistical models, and translating model outputs into actionable financial insights (e.g., risk scoring, fraud detection, algorithmic trading). Additionally, the role involves developing and implementing solutions using generative AI and agentic AI technologies to automate data analysis, enhance predictive modeling, and support intelligent decision-making processes within financial contexts.
A continuous drive to improve existing methods and processes is essential. This position is expected to demonstrate proficiency in a broad range of techniques and methods for data and health sciences, including data warehousing, statistics, and/or machine learning.
Responsibilities:- Analyze complex datasets to generate insights, make predictions, and solve business problems.
- Collaborate with engineering teams and business analysts to implement solutions and communicate findings.
- Lead solutioning for finance use cases across predictive analytics, classical ML, and gen AI.
- Translate business problems into analytic and AI approaches.
- Own experimentation, model evaluation, and feature design.
- Work with junior data scientists to raise the technical quality of outputs.
- Support prompt engineering, RAG design, evaluation frameworks, and responsible AI practices.
- Partner with architects and ML engineers to ensure solutions are deployable and useful.
- Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.
QualificationsRequired Qualifications:- Bachelor's degree - preferably in Computer Science or Data Science - and at least 5 years of relevant experience OR Master's degree in relevant field and at least 4 years of experience.
- Programming skills in Python, R, or SQL.
- Hands-on experience in data science and data analytics.
- Demonstrated experience in prompt engineering, fine-tuning, and evaluating generative or agentic models in a corporate context.
- Ability to multitask and work within timelines.
- Demonstrated ability to learn, understand and master new technologies.
Preferred Qualifications:- Knowledge of popular libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
- Experience with Tableau and Power BI visualization tools.
Additional InformationApplicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
