Sr. Data Scientist

Job Description

Data Discovery & Strategic Analytics
Explore, profile, and assess large structured and unstructured datasets.
Identify opportunities for AI, machine learning, automation, and predictive analytics.
Partner with product, engineering, and business stakeholders to translate business challenges into data science and AI solutions.
Source, evaluate, and integrate internal and external data assets.

Core Requirements And Responsibilities

• Machine Learning & AI Development
  Design, develop, evaluate, and deploy machine learning models that support customer, operational, and product initiatives.
  Build predictive, classification, recommendation, forecasting, and optimization models.
  Develop and evaluate generative AI solutions utilizing foundational models and LLMs.
  Implement Retrieval-Augmented Generation (RAG), semantic search, vector databases, and agent-based AI systems where appropriate.
  Fine-tune, evaluate, and monitor AI models for performance, accuracy, bias, and business value.
  Apply modern feature engineering, model selection, hyperparameter optimization, and validation techniques.
• AI Product Innovation
  Partner with Product Management to identify and prioritize AI-driven product capabilities.
  Develop proof-of-concept and prototypes that accelerate innovation.
  Evaluate emerging AI technologies and recommend adoption strategies.
  Contribute to AI roadmaps and Enterprise AI strategy.
• MLOps & Productionalization
  Build and maintain scalable ML and AI pipelines.
  Collaborate with software engineers to deploy and monitor production models.
  Implement CI/CD practices for machine learning and AI systems.
  Establish model monitoring, drift detection, retraining, observability, and governance processes.
  Ensure reproducibility, traceability, and auditability of data science assets.
• Responsible AI & Governance
  Apply ethical AI principles, fairness assessments, and risk management practices.
  Ensure compliance with security, privacy, regulatory, and governance requirements.
  Participate in AI governance reviews and model risk assessments.
• Collaboration & Technical Leadership
  Mentor data scientists and analysts
  Conduct code reviews, model reviews, and technical design reviews.
  Communicate complex technical concepts to technical and non-technical audiences.
  Contribute to best practices, standards, and reusable AI frameworks.

Qualifications

• Bachelor’s degree or equivalent in a quantitative field such as Computer Science, Applied Mathematics, Engineering, or related field
• 6+ years of experience working with data sets and building statistical models
• Strong communication and interpersonal skills
• Passion for data and analytics
• Experience With machine learning platforms: Tensorflow, Keras, HuggingFace, Amazon SageMaker/AWS Machine Learning
• Tasks: classification, regression, clustering, dimensionality reduction, natural language processing, recommender systems
• Programming Languages And Related Tools: Python, Git, SQL

Preferred Requirements

• Master’s Degree in Data Science/Statistics

Additional Requirements And Details

• Travel required up to 10% of the time.
• Located and working from an office location.
• Occasional lifting and/or moving up to 10 pounds.
• Frequent repetitive hand and arm movements required to operate a computer.
• Specific vision abilities required by this job include close vision (working on a computer, etc.).
• Frequent sitting and/or standing.