Location: Orange, California US
Job Number: 1791
Position Title: Data Scientist
Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors.
We are experiencing rapid growth (backed by top private equity firms), our Data Science team is looking for the best and brightest data scientists. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience.
This position will play a key role in uncovering deep insights from data using advanced machine learning technologies and advanced statistical analysis, processing very large data sets using cloud-based data pipelines, variety of analytic tools, visualizations and delivering actionable healthcare insights & solutions.
Problems you will work on every day will include:
- Collaborate with key business leaders to understand their business problems and come up with analytical solutions.
- Build end-to-end data science solutions which will improve healthcare outcomes and reduce the cost for our members.
- Develop conversational AI solutions to improve healthcare experience of our members.
- Build customer segmentation models to better understand our customers, and tailor the clinical outcome and healthcare care experience for them.
- Develop scalable and efficient modeling algorithms that can work in production systems.
- Collaborate with the engineering team to build end-to-end cloud based machine learning production pipelines.
- Design and implement online experiments and experimental frameworks
- Masters in Computer Science, Engineering, Mathematics, Statistics, or related field
- 2+ years relevant experience in predictive modeling and analysis.
- Excellent communication, analytical and collaborative problem-solving skills
- Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes.
- Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing, kernel methods, dimensionality reduction, ensemble methods, HMM and graph algorithms.
- Solid data structures & algorithms background.
- Strong programming skills in one of the following: Python, Java, R, Scala or C++
- Demonstrated proficiency in SQL and relational databases.
- Experience with data visualization and presentation, turning complex analysis into insight.
- Experience in setting experimental analytics frameworks or strategies for complex scenarios.
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
- Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources
- PhD in Computer Science or related field
- Healthcare experience
- Experience in Big Data processing technologies: Hadoop, Spark, Cosmos
- Experience in Azure, AWS or other cloud ecosystems.
- Experience in NoSQL databases.
- Published work in academic conferences or industry circles.
- Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment
- Orange, California
Location City: Orange
Location State: California
Community / Marketing Title: Data Scientist
Who is Alignment Healthcare?
- Socially responsible
- Technologically enabled
- Concierge care
- Servant leadership
We are dedicated to transforming the complex and confusing process of medical treatment in the United States so that every link in the health care continuum becomes more efficient, productive, and effective. We built a team of people who want to make a difference. Come join the team that is changing health care one person at a time.
We believe that great work comes from people who are inspired to be their best. We invite you to explore our wide variety of roles based on your unique experience.