Senior Data Scientist - - Generative AI

Company :

Highmark Health

Job Description : 

JOB SUMMARY

***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***

We are seeking a Generative AI and Data Science Specialist to join our team and lead the development of cutting-edge analytical solutions that will revolutionize our business. The ideal candidate will have a proven track record of success in applying Generative AI and data science to solve complex business problems and create new opportunities.  This role will play a pivotal role in driving our organization's digital transformation by harnessing the power of Generative AI and data science to extract valuable insights from vast and diverse datasets. We are looking for an individual with a deep understanding of Generative AI techniques, as well as strong data science and statistical skills. The ideal candidate will be able to think creatively and develop innovative solutions to complex problems. They will also be an excellent communicator and able to clearly articulate their findings to business stakeholders.

ESSENTIAL RESPONSIBILITIES

• Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for:

• Outlining complex new use cases + creating high level impact estimates

• Identifying data elements needed and where to get them (including proxies)

• Assembling data sets independently using knowledge of Highmark operational and analytic data structures

• Deliver the analytical solution to a complex business problem

• Documenting objectives, assumptions and processes in line with our standards

• Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires: Experience with a substantial number of advanced analytical techniques and proficiency in a few, evidenced by in-depth knowledge and delivery record (for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing)

• Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will include: Written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications for colleagues and stakeholders, the analyses performed, and how the results link directly back to business objectives, and work with colleagues to deliver implementation which drives frontline workflow.

• Plan, prepare and deliver/coordinate all elements of the analysis at the direction of a manager in such a way that it is delivered on time, to a high standard and ready to implement on a production basis (including dissemination through the Organization's user systems). This includes identifying the best route to implementation (developing the analytical solution accordingly).

• Research self- directed new analytical skills and approaches, building relationships internally and externally to transfer knowledge and maintain their position as subject matter experts, consult with fellow data scientists and analysts to guide analysis and deliver larger projects.

• Other duties as assigned or requested.

EDUCATION

Required

• Master's Degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering or closely related field OR Bachelor's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering plus 3 years of experience in lieu of Master's degree

Preferred

• None

EXPERIENCE

Required

• 2 years Data Science
• 0 (if PhD Education)

Preferred

• Experience with Generative AI techniques: This could include experience with developing or applying Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or other generative models.
• Experience with data science and machine learning: This could include experience with data wrangling, feature engineering, model training and evaluation, and statistical analysis.
• Experience with cloud computing platforms: In particular Google Cloud Platform.
• Experience with working on real-world problems: This could include experience with applying generative AI and data science to solve business problems in areas such as healthcare, finance, manufacturing, or retail.

• In addition to the above, the following skills and experience would also be beneficial:

• Strong communication and presentation skills: The ability to clearly and concise