Data Scientist, Specialist

$90K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data science or analytical roles, with a strong statistical and machine learning background.
  • Expertise with large language models, knowledge graphs, and generative AI.
  • Proficiency in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.
  • Experience using cloud platforms, particularly AWS, and related AI services.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Own the end-to-end design and execution of predictive modeling projects.
  • Lead advanced analytics to inform data-driven business decisions.
  • Establish and maintain data quality standards for modeling processes.
  • Collaborate with senior leadership to understand business challenges and develop analytical solutions.
  • Guide the design and evaluation of research models and validate their performance.
  • Create reusable tools and frameworks to enhance modeling efficiency and scalability.
  • Prepare and present analytical findings with actionable recommendations.

Benefits

  • Professional growth opportunities through mentorship and development programs.
  • Access to cloud platforms and advanced analytics tools.
  • Collaborative working environment with cross-functional teams.
  • Opportunity to lead innovative projects within a data-driven organization.
Full Job Description

Responsibilities:

  • Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts.
  • Establishes and enforces data quality standards for modeling use, including diagnosing data issues, documenting assumptions and limitations, and filling data gaps in ways that balance rigor, practicality, and risk.
  • Partners with senior leadership to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides research design, model evaluation, validation, and monitoring strategies, providing expert judgment on model performance, stability, and appropriate use. Serves as a trusted technical voice on cross0functional initiatives involving advanced analytics or machine learning.
  • Builds reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, and scalability across the predictive and analytics community.
  • Prepares and delivers clear, insightful presentations with recommended actions. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.

Qualifications:

  • Minimum of five years of related work experience in data science or analytical roles. Strong experience utilizing statistical and machine learning methods required. Experience with large language models, knowledge graph and generative AI required.
  • Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and associated AI services and tools.
  • Strong stakeholder Management and excellent communication skills.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

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