Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteSeniorTeam 10,001+Since 1971H1B SponsorCompany SiteLinkedIn

Location

Ohio

Posted

12 hours ago

Salary

$121.6K - $173.7K / year

Seniority

Senior

Bachelor Degree8 yrs expEnglishCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow

Job Description

• Lead the design, development, and deployment of cutting-edge AI solutions on Google Cloud Platform (GCP), focusing on solving key business challenges within the healthcare industry. • Build Generative AI Systems: Architect and build sophisticated Generative AI applications, including Agentic AI systems and advanced RAG pipelines. • Leverage expertise in Gemini Enterprise, various embedding models, and scalable vector databases to integrate LLMs with vast repositories of business data. • Apply Classical Machine Learning: Utilize a strong foundation in classical machine learning to develop and implement models for forecasting, classification, risk prediction, and other critical business applications. • Shape AI Strategy: Act as a subject matter expert on GCP-based AI development, working with stakeholders to translate business needs into actionable, AI-powered solutions and influencing the direction of our technology roadmap. • Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. • Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care.

Job Requirements

  • Proven experience in a Senior AI Engineer or Data Scientist role with a track record of deploying complex AI/ML solutions into production.
  • Bachelor's degree in related field, or equivalent work experience, preferred
  • GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth
  • Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model.
  • Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred.
  • Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred.
  • Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred.
  • Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred.
  • 8-12 years of relevant work experience preferred.
  • Experience building end-to-end MLOps pipelines, from data ingestion to model deployment and monitoring (e.g., using MLFlow)preferred.
  • Knowledge of healthcare data (clinical, patient, claims) and relevant regulations like HIPAA preferred.
  • Familiarity with DevSecOps principles, RESTful API design, and CI/CD pipelines for ML models preferred.
  • Experience working in Agile development environments (Scrum, Kanban) preferred.

Benefits

  • Medical, dental and vision coverage
  • Paid time off plan
  • Health savings account (HSA)
  • 401k savings plan
  • Access to wages before pay day with myFlexPay
  • Flexible spending accounts (FSAs)
  • Short- and long-term disability coverage
  • Work-Life resources
  • Paid parental leave
  • Healthy lifestyle programs

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