PPLSI · 7 hours ago
Senior Data Scientist
Ada, OK
Full-time
Hybrid
Senior Level
7+ years expPPLSI is seeking a Senior Data Scientist who will blend data science, applied machine learning, and platform engineering to build and operationalize AI solutions that drive business impact. The role focuses on developing advanced predictive models and designing the infrastructure required to deploy them securely and efficiently.
Service Industry
Responsibilities
Develop predictive and generative ML models to support acquisition, retention, personalization, and member engagement
Fine-tune and adapt Large Language Models (LLMs) for LegalShield-specific use cases, including call transcript analysis, voice-of-customer workflows, and content generation
Conduct experimentation, model evaluation, and rigorous validation to ensure accuracy, fairness, and business alignment
Partner with business teams to design experiments, analyze results, and translate insights into actionable strategies
Build and maintain infrastructure for deploying and scaling ML/GenAI models
Develop APIs, MCP servers and microservices to serve models across internal and external applications
Translate prototypes into production-grade systems for business and member-facing teams
Implement CI/CD pipelines, containerization, and orchestration (Docker, Kubernetes)
Deploy and manage ML workflow orchestration, feature stores, and model registries
Monitor and optimize performance, drift, latency, and cloud costs
Ensure compliance with SOC2, HIPAA, GDPR, and other data privacy/security standards
Develop internal AI tools that improve productivity and deliver measurable cost savings
Develop external, member-facing AI-powered applications that create new value and enhance customer experience
Build reusable platforms and tools that accelerate AI/ML adoption across LegalShield
Qualification
Required
Advanced degree in Data Science, Statistics, Computer Science, or a related field (or equivalent practical experience)
7+ years' experience in software engineering, Machine Learning, or Applied Data Science (Python preferred; APIs, microservices, distributed systems)
Proven ability to take AI/ML solutions from prototype to production and scale adoption across teams
Hands-on experience with Large Language Models (LLMs) and retrieval-augmented generation (RAG) pipelines, LLM Fine-tuning and training
Familiarity with ML infrastructure: feature stores, model registries, or workflow orchestration tools
Experience with CI/CD, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)
Understanding of compliance and data privacy standards, and ability to apply them in AI systems
Proven track record of deploying and operating ML/AI systems in production
Preferred
Deep knowledge of ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain)
Experience building shared AI/ML platforms or internal developer tools
Familiarity with observability and Cataloging tools (Snowflake, Secoda, Airflow)
Prior experience working cross-functionally with data science, infrastructure, and product teams
Company
PPLSI
We create services that protect and empower people.
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Anne Gardner
Chief Executive Officer
Anthony Agurs
President&CEO
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