Trepp is looking to hire a Senior Data Scientist to lead the development of advanced machine learning and AI models to drive strategic business impact and enhance decision-making through data-driven opportunities.
Requirements
- At least 3 years of work experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
- At least 3 years of work experience with cloud computing platforms such as AWS (Athena, SageMaker, S3) or Azure (ML Studio, Synapse)
- At least 3 years of work experience with supervised and unsupervised learning algorithms such as regression, classification, clustering, time series forecasting
- At least 2 years of experience with designing, fine-tuning, and deploying GenAI models
- Demonstrable knowledge or experience with Python
- Demonstrable knowledge or experience with machine learning
- Demonstrable knowledge or experience with Commercial Mortgage-Backed Securities, Commercial Real Estate, Commercial Lending, Collateralized Loan Obligation.
Responsibilities
- Lead end-to-end development of advanced machine learning and AI models to drive strategic business impact.
- Architect and implement scalable machine learning solutions for production systems.
- Identify new data-driven opportunities and develop innovative approaches to enhance decision-making.
- Oversee model performance monitoring and implement strategies for continuous improvement.
- Drive best practices in data science methodologies, coding standards, and model reproducibility.
- Partner with engineering, product, and business teams to integrate AI-driven solutions into core products and services.
- Present findings and recommendations to executive leadership and key stakeholders.
Other
- May work from home up to 2 days, as permitted.
- At least 5 years of progressive experience in any occupation in which experience with data analysis, machine learning, and statistical modeling is gained.
- At least 2 years of experience leading data science projects and mentoring junior team members.
- Provide thought leadership and stay ahead of advancements in AI, deep learning, and big data analytics.
- Mentor and guide junior and mid-level data scientists, fostering a collaborative and knowledge-sharing environment.
