Bringing our heart to every moment of your health.
Senior Data Scientist – ML/AI, Digital Workplace Experience
Location
Connecticut + 3 moreAll locations: Connecticut, Illinois, Massachusetts, Texas
Posted
2 days ago
Salary
$92.7K - $203.9K / year
Seniority
Senior
Job Description
Job Requirements
- 5+ years of hands-on experience delivering production-level ML/AI solutions with strong expertise in Generative AI, LLMs, RAG architectures, and prompt engineering.
- Advanced proficiency in Python, ML/AI frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain), NLP techniques, SQL, and large-scale data platforms (Databricks, Spark, BigQuery).
- Hands-on experience with MLOps practices (model versioning, CI/CD, experiment tracking, monitoring) and cloud platforms (Azure, AWS, GCP) and their AI/ML services.
- Strong foundation in statistics, probability, and experimental design with the ability to apply rigorous analytical methods to real-world problems.
- Excellent storytelling and communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
- Preferred: Master’s degree or Ph.D. in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Computational Linguistics, or a related quantitative field.
- Experience with vector databases (Pinecone, Weaviate, FAISS), AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel), and enterprise AI platforms such as Azure OpenAI Service or Azure Machine Learning.
- Knowledge of digital workplace technologies (Microsoft 365, ServiceNow, endpoint management) with experience in enterprise telemetry and application usage analytics.
- Familiarity with responsible AI principles and explainability techniques (SHAP, LIME), with experience building real-time inference systems and deploying models via APIs and microservices.
- Experience with computer vision or multi-modal AI, prior work in healthcare or enterprise IT environments, and relevant cloud AI/ML certifications (Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer).
Benefits
- Affordable medical plan options
- 401(k) plan (including matching company contributions)
- Employee stock purchase plan
- No-cost programs including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
- Paid time off
- Flexible work schedules
- Family leave
- Dependent care resources
- Colleague assistance programs
- Tuition assistance
- Retiree medical access
- Many other benefits depending on eligibility
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