Senior Data Scientist – Machine Learning, Generative AI

MSD

. Design and develop quantitative methodologies using machine learning, deep learning, and generative AI .

Posted 10/7/2026full-timeUnited StatesSenior💰 $129,000 - $203,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing quantitative methodologies using machine learning, deep learning, and generative AI, while effectively engaging with stakeholders to deliver end-to-end digital solutions and optimize processes. Proficient in Python and familiar with advanced analytics tools and methodologies to support data-driven decision-making.

Highest-signal resume keywords

Machine Learning AlgorithmsDeep Learning ArchitecturesPython ProgrammingAgile MethodologiesGenerative AI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Supervised LearningUnsupervised LearningFeature EngineeringExploratory Data AnalysisExperiment TrackingHigh-Quality CodeData WorkflowsModel DevelopmentPrototypingMLOps

Soft Skills

Stakeholder EngagementCollaboration

Tools & Technologies

Scikit-LearnKerasTensorFlowPyTorchCI/CDDockerAWSDatabricks

Certifications & Qualifications

Bachelor's DegreePh.D. or Master's Degree

Industry Keywords

Data AnalyticsPredictive AnalyticsProcess OptimizationComplianceEthics

Tech Stack

Tools & technologies

AWSCloudDockerKerasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design and develop quantitative methodologies using machine learning, deep learning, and generative AI
Create tools for process monitoring, process optimization, and predictive analytics
Develop end-to-end digital solutions, including automated data workflows and system integration
Engage customers and stakeholders to understand needs, requirements, expectations, and opportunities
Build and share domain knowledge in data analytics sub-specialty areas
Design, lead, and document analytics applications, platforms, and processes
Support projects through ideation, business case development, data discovery and preparation, model development, prototyping, and adoption
Stay current on AI, machine learning, and data science best practices, technologies, compliance, and ethics
Provide ad-hoc consulting across the organization
Collaborate with IT, engineering, operations, and other cross-functional teams

Requirements

What you’ll need

Bachelor’s degree required
Extensive knowledge of supervised and unsupervised machine learning algorithms
Familiarity with advanced deep learning architectures
Hands-on Python experience, including scikit-learn, Keras, TensorFlow, or PyTorch
Feature engineering and exploratory data analysis for structured and unstructured data
Knowledge of experiment tracking methodologies and tools
Strong software engineering mindset with high-quality code, documentation, and pipelines
Experience working within Agile frameworks and methodologies
Preferred: understanding of generative AI, including large language models, vision language models, RAG, pre-training, and fine-tuning
Preferred: experience with agents, agentic AI platforms, agent tooling and protocols, and AI coding tools
Preferred: familiarity with graph networks, semantic layers, causal inference, computer vision, autoencoders, and modern MLOps
Preferred: familiarity with CI/CD, Docker, and cloud ML deployment using AWS, Databricks, or similar platforms
Preferred: Ph.D. or master’s degree in a technical field; master’s alternative requires 2+ years of relevant experience
US and Puerto Rico residency
No visa sponsorship available

Benefits

Comp & perks

Annual bonus
Long-term incentive, if applicable
Medical, dental, and vision healthcare
Other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate and sick days
Hybrid work arrangements