Alignment Healthcare is a population health management company dedicated to changing the way health care is delivered in the United States. We are a fast-growing, highly dynamic organization that isn’t content with the status quo. We are looking for dedicated, innovative individuals who thrive in a fast-paced environment to join our team and help us carry out our vision - that is, to lead a movement that transformationally improves health care.

Join us today and we will give you every opportunity to succeed.

Data Scientist

Location: Orange, California US

Notice

This position is no longer open.

Job Number: 2155

Position Title: Data Scientist

External Description:

Alignment Healthcare was founded with a mission to revolutionize health care with a serving heart culture. Through its unique integrated care delivery models, deep physician partnerships and use of proprietary technologies, Alignment is committed to transforming health care one person at a time.

By becoming a part of the Alignment Healthcare team, you will provide members with the quality of care they truly need and deserve. We believe that great work comes from people who are inspired to be their best. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment community.

 

Position Summary:

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.

 

General Duties/Responsibilities:

(May include but are not limited to)

  • 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

Minimum Requirements:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  The requirements listed below are representative of the knowledge, skill, and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  1. Minimum Experience:
    1. Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes.
    2. 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.
    3. Solid data structures & algorithms background.
    4. Experience with data visualization and presentation, turning complex analysis into insight.
    5. Experience in setting experimental analytics frameworks or strategies for  complex scenarios.
    6. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources
  1. Education/Licensure:
    1. PhD in Computer Science, Engineering, Mathematics, Statistics, or related field
  1. Other:
    1. Excellent communication, analytical and collaborative problem-solving skills
    2. Strong programming skills in one of the following: Python, Java, R, Scala or C++
    3. Demonstrated proficiency in SQL and relational databases.
    4. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
    5. Preferred:
  1. Healthcare experience
  2. Experience in Big Data processing technologies: Hadoop, Spark, Cosmos
  • Experience in Azure, AWS or other cloud ecosystems.
  1. Experience in NoSQL databases.
  2. Published work in academic conferences or industry circles.
  3. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment
  1. Work Environment
    1. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Essential Physical Functions:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  1. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
  2. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.

Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran.

If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact careers@ahcusa.com.

City: Orange

State: California

Location City: Orange

Location State: California

Community / Marketing Title: Data Scientist

Company Profile:

Who is Alignment Healthcare?

  • Socially responsible
  • Technologically enabled
  • Concierge care
  • Transformation
  • 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.

EEO Employer Verbiage: Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact careers@ahcusa.com. (function() { var ac = document.createElement('script'); ac.type = 'text/javascript'; ac.src = ('https:' == document.location.protocol ? 'https://' : 'http://') + 'click.appcast.io/pixels/grpeople1-1573.js?ent=8&t=' + new Date().getTime(); var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ac, s); })();

This site supports the current version and the previous version of Internet Explorer, Chrome, Firefox, and Safari.