Manager, Data Science at Ryan LLC
Dallas, TX 75240, USA -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

0.0

Posted On

04 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Infrastructure, Sql Server, Soft Skills, Computer Science, Data Science, Ml, Pandas, Spark, Python, Statistics, Code, Databases, Keras, Devops, Cloud, Storage

Industry

Information Technology/IT

Description

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
Responsibilities
  • Non
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