Work You'll Do
The machine learning engineer will design self-running software to automate predictive models. You will serve as the expert regarding the application of advanced analytical methods to improve health care delivery, cost, quality, and outcomes. Utilizing data science and software engineering techniques, you will create and deploy unique and innovative advanced analytics solutions that deliver actionable information to stakeholders with a high degree of impact.
About Impact Advisors
We deliver Best in KLAS advisory, implementation and optimization services to healthcare organizations. At Impact Advisors, we are committed to exceeding our clients’ expectations. We are a nationally recognized partner to many of the nation’s top healthcare organizations. Our commitment to patient-centered, value-driven outcomes has earned us some of the industry’s most prestigious awards. Please visit our website at www.impact-advisors.com for additional information.
About You - Required background/experience:
- Development experience with R, Python, Java or other analytics/data mining tools, databases, and computer programming.
- Theoretical fluency and working proficiency in the application of a broad array of statistical methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms.
- Experience in building and deploying predictive models and other analytic assets.
- Experience in SQL/Database programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and groupings.
- Extensive data modeling and data architecture skills
- Background in machine learning frameworks such as TensorFlow or Keras
- Knowledge of Cloud Computing or another distributed computing systems
- Advanced degree in computer science, math, statistics, or a related discipline
- Design and develop enterprise-class, advanced analytic models to understand and solve complex business problems. Create models by analyzing large data sets from various sources and processes.
- Establish scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation
- Develop and maintain algorithms, data packages, automated processes, and services to create a Data Science-backed solutions that meets a business need and supports our client's healthcare objectives, products and improves while also improving processing efficiency.
- Gather data sets, build synthetic data and label data sets as per the needs of for Data Science solutions and Machine Learning
- Apply software engineering and machine learning skills to build Data Science and Machine Learning products to improve that provide automation and improve business and user experience
- Utilize machine learning techniques, design and build Data Science solutions and Machine Learning products — from platforms to systems for model training, versioning, deploying, storage, and testing models with creating real-time feedback loops to fully automated services
- Interface with relevant stakeholders to assist in lifecycle activities such as requirements gathering, research activities, and solution architecture and design.
- Experience working in an Agile environment
- Organize methods, plans, and data constructs for effective clinical and business analyses.
- Superior communication skills and ability to tailor written and spoken language to a broad variety of potential stakeholders
- Utilizes team collaboration to create innovative solutions efficiently
- Ability to inspire a followership and mobilize change agents that act as multipliers and foster the mindset
- Ability to quickly identify coaches’ training needs, and address them through coaching (“train the trainer”) in inclusive training sessions
Our People And Culture
We believe in a caring, fun, honest and autonomous work environment and we recognize that our dedication to our associates drives our success. Our mission to create a Positive Impact fuels our associates to innovate and deliver high value services to our clients.
In healthcare, many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. Impact Advisors provides equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law.