Overview As a Senior Data Scientist on the Program Analytics and Outcomes team, you will manipulate, analyze, and interpret complex data sources, including but not limited to healthcare claims data, clinical data, and digital engagement data. Your analytic approach will include a wide range of advanced analytics, such as the development of predictive models using machine-learning and mathematical analyses. The resulting insights will inform questions about the value of the Ontrak program to our customers and the members that we serve. To be successful in this role you will need at least 3 years of experience as a data scientist using python/R or similar development languages to drive statistical analysis. You should be comfortable using your expertise to recommend and execute appropriate analytical/statistical approaches to answering a range of business questions. Experience in the healthcare industry, including quantifying clinical outcomes and member/patient behavior utilizing disparate data sources is required. The candidate must work well in a distributed team environment. This entails an excellent ability to communicate and engage in team development efforts. Join us on our wellness journey, saving lives, improving health, and giving individuals back control of their lives. Come on board a company that is innovative, progressive and a great place to work, providing real solutions for our members. Apply to Ontrak Health today and help make us better together! Essential Functions Become an expert in our various data types including, but not limited to health insurance claims, clinical data, digital engagement data, and operational data Identify and comprehend data relationships across various contributing sources. This includes developing and uncovering both direct and inferred data relationships to determine where rules can be defined and consistently applied. Additionally, implement strategies to optimize the efficiency and quality of data collection, normalization, and delivery Perform analyses to solve multiple and/or complex business problems utilizing advanced statistical techniques, mathematical analyses and broad knowledge of the Ontrak organization and/or health care industry Investigate problems, detect patterns, and recommend solutions using advanced analytic techniques to improve efficiency and answer a wide range of business questions Using strong programming skills to explore and examine large volumes of data in various formats. Proficiency with using Python and SQL Understand how to identify, acquire, and utilize data sources to answer specify business questions Perform statistical analysis, predictive modeling, and generate automated reporting and creating data visualization stories as required to identify and interpret trends or patterns in complex datasets Able to learn and evaluate new technologies Qualifications Education Required: Requires a Master’s degree in Data Science, Computer Science, Biomedical Engineering, Electrical and Computer Engineering, Mathematics, or closely related disciplines. Preferred: Ph.D. Equivalent: in lieu of degree, equivalent education and/or experience may be considered. Experience Required: 3 + years of experience in data science marketplace, with experience in the application of analytics, data mining, data management 3 + years of experience in working directly with large health care claims data, clinical data, Health Plan enrollment data 3+ years of analytical programming experience using R/Python, SQL, and data mining and data quality controls Demonstrated ability to communicate analytic recommendations to a non-technical audience in a clear and concise manner Experience in working with cloud computing and automation technologies like Azure or AWS Proficiency with biostatistics, epidemiology, and statistical analysis Preferred: 5 + years of experience in working directly with large health care claims data, clinical data, Health Plan enrollment data 5 + years of analytical programming experience using R/Python, SQL, and data mining and data quality controls Demonstrated experience manipulating data frames using pandas/SQL Skills Required: Able to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills Experience in one or more analytic software tools, such as Python, R, PySpark Ability to work independently without detailed guidance, while maintaining effective communications with leaders and stakeholders 3+ years of experience with large health care claims database Able to properly document code, artifact description, implementation, and use cases Excellent problem-solving and collaboration skills The versatility and willingness to learn new technologies on the job Strong communication, data presentation, and visualization skills Preferred: An ability based on scientific enquiry process to identify questions that computational approaches can address, and the skills to develop solutions both independently and collaboratively Experience and understanding of statistical techniques and experimental methods, such as linear and non-linear regression, hypothesis testing, A/B testing, propensity score matching, etc. Strong publication record All work from home opportunities require: A quiet, private, distraction-free home office work environment A reliable high-speed internet connection Willingness to do constant sedentary work Discipline to work from home while following a set schedule Background check clearance Compensation range $160,000 - $170,000 About Us Join our Ontrak Health Team Providing an excellent compensation and benefit packages are essential to ensuring individual and family peace of mind. In addition to a competitive wage of , we offer comprehensive benefits including medical, dental and vision insurance; paid holidays, vacation, and sick time; flexible spending accounts; Basic Life/AD&D, 401K, Employee Assistance Program, Pet Insurance and Travel Assistance Program and more. Ontrak Health is an equal opportunity employer, and we welcome applicants that reflect a variety of backgrounds based on ideology, race, ethnicity, religion, gender, sexual orientation, gender identity or expression, disability, veteran status, age, national origin, and political affiliation. Our employees will have access to Protected health information (PHI). Under the U.S. law, PHI is any information about health status, provision of health care, or payment for health care that is created or collected by a Covered Entity (or a Business Associate of a Covered Entity) and can be linked to a specific individual. Electronic protected health information (ePHI) is any PHI that is created, stored, transmitted, or received electronically. In this role, you will need to attend to all forms of PHI with the proper safeguards in accordance with company policies can procedures in alignment with regulations such as the Health Insurance Portability & Accountability Act (HIPAA). Protecting Against Recruiting Scams In recent years, online recruitment scams have increased in frequency, impacting both applicants and employers. To help protect yourself against potential scammers, please note the following recruitment practices employed by Ontrak Health: Ontrak Health requires that applicants apply directly through the career portal on our Careers website before any interviews take place. This website is a location where applicants can securely complete an online application, upload a resume, and answer a few general questions. Ontrak Health screens applicants through a combination of over-the-phone and video. Ontrak Health will never ask a candidate for payment of any kind as part of the hiring or onboarding process. Likewise, we will never send checks to applicants to secure a job or cover expenses for a home office, either as an employee or contractor. Ontrak Health will not request an applicant to share sensitive personal information, such as a government identification number, over the phone or by email until a formal written offer letter is signed by the applicant Ontrak Health Privacy policy

Become an expert in our various data types including, but not limited to health insurance claims, clinical data, digital engagement data, and operational data Identify and comprehend data relationships across various contributing sources. This includes developing and uncovering both direct and inferred data relationships to determine where rules can be defined and consistently applied. Additionally, implement strategies to optimize the efficiency and quality of data collection, normalization, and delivery Perform analyses to solve multiple and/or complex business problems utilizing advanced statistical techniques, mathematical analyses and broad knowledge of the Ontrak organization and/or health care industry Investigate problems, detect patterns, and recommend solutions using advanced analytic techniques to improve efficiency and answer a wide range of business questions Using strong programming skills to explore and examine large volumes of data in various formats. Proficiency with using Python and SQL Understand how to identify, acquire, and utilize data sources to answer specify business questions Perform statistical analysis, predictive modeling, and generate automated reporting and creating data visualization stories as required to identify and interpret trends or patterns in complex datasets Able to learn and evaluate new technologies

Education Required: Requires a Master’s degree in Data Science, Computer Science, Biomedical Engineering, Electrical and Computer Engineering, Mathematics, or closely related disciplines. Preferred: Ph.D. Equivalent: in lieu of degree, equivalent education and/or experience may be considered. Experience Required: 3 + years of experience in data science marketplace, with experience in the application of analytics, data mining, data management 3 + years of experience in working directly with large health care claims data, clinical data, Health Plan enrollment data 3+ years of analytical programming experience using R/Python, SQL, and data mining and data quality controls Demonstrated ability to communicate analytic recommendations to a non-technical audience in a clear and concise manner Experience in working with cloud computing and automation technologies like Azure or AWS Proficiency with biostatistics, epidemiology, and statistical analysis Preferred: 5 + years of experience in working directly with large health care claims data, clinical data, Health Plan enrollment data 5 + years of analytical programming experience using R/Python, SQL, and data mining and data quality controls Demonstrated experience manipulating data frames using pandas/SQL Skills Required: Able to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills Experience in one or more analytic software tools, such as Python, R, PySpark Ability to work independently without detailed guidance, while maintaining effective communications with leaders and stakeholders 3+ years of experience with large health care claims database Able to properly document code, artifact description, implementation, and use cases Excellent problem-solving and collaboration skills The versatility and willingness to learn new technologies on the job Strong communication, data presentation, and visualization skills Preferred: An ability based on scientific enquiry process to identify questions that computational approaches can address, and the skills to develop solutions both independently and collaboratively Experience and understanding of statistical techniques and experimental methods, such as linear and non-linear regression, hypothesis testing, A/B testing, propensity score matching, etc. Strong publication record All work from home opportunities require: A quiet, private, distraction-free home office work environment A reliable high-speed internet connection Willingness to do constant sedentary work Discipline to work from home while following a set schedule Background check clearance Compensation range $160,000 - $170,000