Ensora Health
Senior Data Scientist – Healthcare Analytics & AI
Ensora Health, New York, New York, United States
Senior Data Scientist – Healthcare Analytics & AI
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Senior Data Scientist – Healthcare Analytics & AI
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Ensora Health . Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine‑tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI‑enabled solutions that span practice management to electronic medical records and e‑prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.
Job Description
Advanced Statistical Modeling: Apply rigorous statistical techniques (regression, hypothesis testing, survival analysis) to healthcare data for predictive and prescriptive analytics.
Time Series Analysis: Develop models for forecasting and anomaly detection in longitudinal healthcare data (e.g., patient vitals, treatment timelines).
Feature Engineering: Design and implement robust feature extraction and transformation pipelines for structured and unstructured healthcare data.
Large‑Scale Data Handling: Work with high‑volume datasets from EHRs, claims, and sensor data using distributed computing frameworks (Spark, Dask).
Predictive Modeling: Build and validate machine learning models for risk stratification, disease progression, and patient engagement.
Data Quality & Governance: Ensure compliance with healthcare data standards (HIPAA, HL7, FHIR) and maintain data integrity.
Visualization & Communication: Create compelling dashboards and visualizations to communicate insights to clinicians and business stakeholders.
Collaboration: Partner with product managers, engineers, and clinical experts to translate business needs into data‑driven solutions.
Required Qualifications
Education: Master’s or Ph.D. in Statistics, Data Science, Computer Science, or related field.
Experience: 5+ years in data science roles, with at least 2 years in healthcare analytics.
Statistical Expertise: Strong knowledge of regression models, Bayesian methods, and hypothesis testing.
Time Series & Forecasting: Hands‑on experience with ARIMA, Prophet, or deep learning‑based time series models.
Programming Skills: Proficiency in Python (pandas, NumPy, scikit‑learn), SQL, and experience with PostgreSQL or similar databases.
Big Data Tools: Experience with Spark, Hadoop, or cloud‑based data platforms (AWS, Azure, GCP).
Feature Engineering: Proven ability to design features for complex healthcare datasets.
Domain Knowledge: Familiarity with clinical terminologies, EHR systems, and healthcare workflows.
All your information will be kept confidential according to EEO guidelines.
Ensora Health
is an equal opportunity employer. We celebrate diversity, equity, inclusion, and belonging and strive to create an inclusive culture.
#J-18808-Ljbffr
Senior Data Scientist – Healthcare Analytics & AI
role at
Ensora Health . Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine‑tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI‑enabled solutions that span practice management to electronic medical records and e‑prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community.
Job Description
Advanced Statistical Modeling: Apply rigorous statistical techniques (regression, hypothesis testing, survival analysis) to healthcare data for predictive and prescriptive analytics.
Time Series Analysis: Develop models for forecasting and anomaly detection in longitudinal healthcare data (e.g., patient vitals, treatment timelines).
Feature Engineering: Design and implement robust feature extraction and transformation pipelines for structured and unstructured healthcare data.
Large‑Scale Data Handling: Work with high‑volume datasets from EHRs, claims, and sensor data using distributed computing frameworks (Spark, Dask).
Predictive Modeling: Build and validate machine learning models for risk stratification, disease progression, and patient engagement.
Data Quality & Governance: Ensure compliance with healthcare data standards (HIPAA, HL7, FHIR) and maintain data integrity.
Visualization & Communication: Create compelling dashboards and visualizations to communicate insights to clinicians and business stakeholders.
Collaboration: Partner with product managers, engineers, and clinical experts to translate business needs into data‑driven solutions.
Required Qualifications
Education: Master’s or Ph.D. in Statistics, Data Science, Computer Science, or related field.
Experience: 5+ years in data science roles, with at least 2 years in healthcare analytics.
Statistical Expertise: Strong knowledge of regression models, Bayesian methods, and hypothesis testing.
Time Series & Forecasting: Hands‑on experience with ARIMA, Prophet, or deep learning‑based time series models.
Programming Skills: Proficiency in Python (pandas, NumPy, scikit‑learn), SQL, and experience with PostgreSQL or similar databases.
Big Data Tools: Experience with Spark, Hadoop, or cloud‑based data platforms (AWS, Azure, GCP).
Feature Engineering: Proven ability to design features for complex healthcare datasets.
Domain Knowledge: Familiarity with clinical terminologies, EHR systems, and healthcare workflows.
All your information will be kept confidential according to EEO guidelines.
Ensora Health
is an equal opportunity employer. We celebrate diversity, equity, inclusion, and belonging and strive to create an inclusive culture.
#J-18808-Ljbffr