Data Scientist

We are seeking a Data Scientist - Gen AI with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Data Scientist - Gen AI, you’ll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients.

Key Responsibilities:

- Design and implement predictive models and machine learning algorithms to solve healthcare-specific challenges
- Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data
- Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization
- Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization
- Create and maintain automated data pipelines for real-time analytics and reporting
- Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance
- Develop and deploy models in cloud environments while creating visualizations for stakeholders
- Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives

Qualifications required:

- Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field
- At least 2 years of hands-on experience in data science, analytics, or machine learning roles
- Demonstrated experience working with large datasets and statistical modeling
- Proficiency in Python or R for data analysis and machine learning
- Experience with SQL and database management systems
- Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch
- Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2
- Experience with version control systems (Git) and collaborative development practices
- Strong foundation in statistics, hypothesis testing, and experimental design
- Experience with supervised and unsupervised learning techniques
- Knowledge of data preprocessing, feature engineering, and model validation
- Understanding of A/B testing and causal inference methods
- Experience with cloud platforms and big data technologies such as Spark, Hadoop

What You’ll Need to Be Successful (Required Skills):

- Large Language Model (LLM) Experience: At least 2 years of hands-on experience working with pre
- trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques
- Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems
- AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques
- AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines

Education/ Certifications:

- Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field.

Preferred Skills:

- At least 1 year of experience working with healthcare data or in healthcare IT environments
- Familiarity with electronic health record (EHR) systems and healthcare workflows
- Understanding of healthcare data privacy regulations (HIPAA, HITECH)
- Knowledge of clinical data standards and interoperability frameworks
- Knowledge of MLOps practices and model deployment pipelines
- Familiarity with natural language processing for clinical text analysis
- Experience with time series analysis for patient monitoring data

Why Join Us?

At Netsmart you’ll work on exciting challenges that shape the future of healthcare. You’ll have the opportunity to:

- Collaborate with talented professionals passionate about technology.
- Work in a supportive and inclusive environment where your growth is prioritized.
- Access professional development opportunities, including certifications and training.
- Enjoy a competitive compensation package and comprehensive benefits.