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

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 examplewrite 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 workflowstokenization embedding generation LLM fine-tuning and RAG frameworksfor 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

• Bachelors or Masters 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