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Senior Data Scientist

Careforth

Location
United States
Workplace
Remote
Employment
Full Time
Salary
USD 121,000–195,000/yr
Apply on the employer’s site

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Design, build, and deploy predictive and probabilistic models
  • Develop NLP and LLM-powered pipelines
  • Apply speech and audio ML techniques
  • Build conversational AI and decision-support capabilities
  • Define and track outcome metrics, conduct A/B testing and cohort analysis
  • Ensure model quality, explainability, and compliance
  • Partner with Data Engineering on feature store design, pipelines, and experiment tracking
  • Mentor junior data scientists and influence the broader AI roadmap

Requirements

  • Master’s degree in Data Science, Decision Science, Statistics, Computer Science, Computational Linguistics, or a related quantitative field
  • 7+ years of applied data science experience with a demonstrated track record of deploying predictive, NLP, and generative AI models in production environments
  • Proven ability to work across the full modeling lifecycle: problem framing, feature engineering, model development, evaluation, deployment, and ongoing monitoring
  • Prior experience in healthcare, managed care or insurance
  • Experience mentoring junior data scientists
  • Expert-level Python: pandas, NumPy, scikit-learn, and deep learning frameworks (PyTorch and/or TensorFlow)
  • Strong command of classical ML methods — gradient boosting (XGBoost, LightGBM), regularized regression, survival modeling, time-series analysis — as well as advanced approaches including HMMs, RNNs/LSTMs, causal inference, and reinforcement learning
  • Hands-on experience with LLMs, RAG architectures, transformer models (BERT, GPT), and LLM fine-tuning, alignment, and evaluation workflows using Hugging Face, LangChain, and vector databases
  • NLP proficiency across spaCy, scispaCy, MedSpaCy, and speech ML tools including ASR models, speaker diarization, and sentiment and emotion detection
  • Proficiency with Databricks (Delta Lake, MLflow, Spark), AWS (S3, SageMaker, Bedrock, Redshift, Athena), and containerized deployment (Docker, Kubernetes/EKS)
  • Strong SQL skills with demonstrated ability to extract, manipulate, and analyze data across multiple complex systems — relational, NoSQL, and data lakehouse environments
  • Familiarity with MLOps practices: experiment tracking, model registry, CI/CD, and drift monitoring
  • Ability to communicate complex modeling outputs clearly to clinical, operational, and executive audiences
  • Collaborative by nature; comfortable driving alignment across product, engineering, and clinical teams simultaneously
  • Self-directed, intellectually curious, and able to move quickly from an ambiguous problem to a working prototype
  • Demonstrated ability to research, evaluate, and adopt new technical tools and methodologies

Preferred

  • Ph.D. a plus

Skills

  • Python
  • pandas
  • NumPy
  • scikit-learn
  • PyTorch
  • TensorFlow
  • XGBoost
  • LightGBM
  • HMMs
  • RNNs
  • LSTMs
  • LLMs
  • RAG
  • BERT
  • GPT
  • Hugging Face
  • LangChain
  • spaCy
  • scispaCy
  • MedSpaCy
  • ASR
  • Databricks
  • Delta Lake
  • MLflow
  • Spark
  • AWS
  • S3
  • SageMaker
  • Bedrock
  • Redshift
  • Athena
  • Docker
  • Kubernetes
  • EKS
  • SQL

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