Manager, Data Science

Why Ryan?

• Hybrid Work Options
• Award-Winning Culture
• Generous Personal Time Off (PTO) Benefits
• 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
• Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
• Benefits Eligibility Effective Day One
• 401K with Employer Match
• Tuition Reimbursement After One Year of Service
• Fertility Assistance Program
• Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

We're seeking a hands-on Manager of Data Science to lead and grow a team of Data Scientists and Senior Data Scientists. You'll partner closely with business stakeholders to translate complex tax and financial challenges into proof-of-concepts (POCs) and minimum-viable-products (MVPs), then shepherd those results into production on Azure and Databricks. Your deep Python expertise, proficiency with both classical ML and deep-learning architectures, familiarity with LLMs/GenAI, and ability to coach while contributing code will be key to your success.
Duties and Responsibilities, aligned with Key Results:

Team Leadership & Delivery

• Recruit, mentor, and retain a high-performing Data Science team (Data Scientists & Sr. Data Scientists), providing regular coaching, career-path guidance, and structured feedback.
• Oversee rapid iteration of POCs and MVPs on Databricks (Spark/Delta Lake) and Azure ML, from feature engineering and model training through evaluation and production deployment.
• Lead by example-write, review, and optimize Python notebooks and production code daily; troubleshoot performance bottlenecks and cost-optimize compute.

Advanced Modeling & GenAI

• Architect, develop, and deploy classification models on unstructured data (CNNs, RNNs, transformers) alongside tree-based and ensemble methods for structured data.
• Implement end-to-end NLP workflows-tokenization, embedding generation, LLM fine-tuning, and RAG frameworks-for document understanding and virtual assistants.
• Rapidly prototype and fine-tune GenAI solutions (Azure OpenAI, Hugging Face), collaborating with Data Engineering and MLOps (MLflow, Azure DevOps) to productionize successful pilots.

Stakeholder Partnership & Governance

• Partner with Product Owners, Finance, and Tax leadership to define clear use cases, success metrics, and roadmaps that align with strategic goals.
• Translate complex technical findings into concise presentations and decision-ready recommendations for executive and business audiences.
• Ensure code quality (unit tests, version control, documentation), embed responsible AI practices (bias detection, explainability, data-privacy compliance), monitor model drift, and maintain production SLAs.

Qualifications & Experience

• Bachelor's or Master's in Data Science, Computer Science, Statistics, or related field
• 7+ years of hands-on experience building and deploying ML & deep-learning solutions in production
• 2+ years of managing and mentoring data science professionals
• Proven track record delivering rapid POCs/MVPs and scaling them to robust production services

Technical Skills

• Programming & Frameworks: Expert in Python (pandas, scikit-learn), deep-learning frameworks (PyTorch, TensorFlow, Keras)
• GenAI & LLMs: Experience fine-tuning and deploying transformer-based models (e.g. GPT, BERT) via Azure OpenAI or Hugging Face
• Data Platforms: Azure Databricks (Spark, Delta Lake, Unity Catalog), Azure Data Factory
• MLOps: MLflow, Azure ML pipelines, CI/CD (GitHub Actions or Azure DevOps), Docker/Kubernetes
• Cloud & DevOps: Terraform/ARM for infrastructure-as-code; monitoring with Azure Monitor or Prometheus
• Databases & Storage: SQL Server, Azure SQL, Cosmos DB, ADLS/Blob Storage
• Document AI: Azure Form Recognizer or equivalent for structured/unstructured document extraction

Soft Skills

• Exceptional communicator: translates technical concepts for executive and business audiences
• Strategic thinker: balances long-term AI roadmap with agile, iterative delivery
• Collaborative leader: thrives in cross-functional, matrixed teams
• Results oriented: delivers high-impact solutions under tight timelines

Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.

Supervisory Responsibilities:

• None

Work Environment:

• Standard indoor working environment.
• Occasional long periods of sitting while working at computer.
• Must be able to lift, carry, push or pull up to 30 lbs.
• Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.
• Independent travel requirement: As Needed

#DICE