Data Scientist, Consultant

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements (or Qualifications), Skills maybe, Benefits, Pay, Schedule. Must include only sections with real content. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate. Must preserve all substantive info. We need to parse the job description. Key sections: - "Your Role" paragraph: description of team, role, reporting, focus, etc. Could be "About the role". Use

About the role

then

...

. - "Responsibilities" heading: list of bullet points under "Your Work In this role, you will:" then bullet list. Use

Responsibilities

then

• ...

. - "Qualifications" heading: includes "Your Knowledge and Experience" bullet list (though not bullet but sentences). Also "Preferred Knowledge And Experience". Could combine into Requirements section. Use

Qualifications

then

• ...

for required qualifications, maybe separate required and preferred? But we can list all. - "Skills": maybe not explicit separate; but we could infer from qualifications. However rule: only include section if posting has real specific content. There's no explicit "Skills" heading, but we could still create a Skills section if we extract skills from qualifications? Might be considered inventing. Safer to not create Skills unless explicit. The posting mentions "Strong software engineering skills and proficiency in Python, including building APIs and backend services" etc. That's part of qualifications. So we can keep under Qualifications. - Benefits: Not mentioned explicitly. There's mention of leadership model, opportunities to grow, but not explicit benefits like health, retirement. No explicit benefits section. So we should not create Benefits. - Pay: There is "Pay Range for California : $133500.00 to $200300.00" and "Pay Range for Bay Area : $150500.00 to $225800.00". That's specific pay info. So we need a Pay section. Use

Pay

then

... maybe list both ranges.

. - Schedule: There is "Hybrid" section describing in-office two days per week, etc. Also "Job Schedule : Full time". So we have schedule info. Use

Schedule

then

... maybe combine.

. - About Us: Could be "About the company" but not required heading. Could be omitted as not requested. The instruction says use headings for section headings (About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should not add other headings like About Us. So we omit. We must not include boilerplate like EEO, legal, etc. We need to preserve all substantive information: that includes the description of role, responsibilities, qualifications (required and preferred), hybrid schedule, pay ranges, location list? Locations list is substantive but maybe not under any heading; could be included in a short paragraph under About the role or maybe separate? There's no heading for Locations. Could we include it under About the role? Might be okay to add a paragraph about locations. But we must not invent headings. Could add a

under About the role that includes location list. However the location list is long; we could keep it as a

after About the role before Responsibilities. But we need to ensure we don't create a heading for Locations. Also "Job Identification : 20261797" etc should be dropped. Also "Posting Date : 2026-09-16T15:39:17+00:00" drop. Also "Job Category : Business and Data Analysis" drop. Also "Job Schedule : Full time" we already used in Schedule. Also "Locations : ..." we can include in a paragraph. Also "Note : Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade." That's part of Pay info; we can include. Also "Role can be filled by a candidate requiring sponsorship : No" maybe include under Pay or Schedule? Could be under Pay as extra note. We must not include cookie/navigation/legal/EEO etc. So remove the Equal Employment Opportunity paragraph and the background check etc. Also remove "Physical Requirements" etc. Now craft HTML. Structure:

About the role

... (role description plus locations)

Responsibilities

• ...
...

Qualifications

• ...
...

Maybe separate Required and Preferred? Could keep all in one list but we could split with subheadings? Not allowed to create extra headings beyond the list? Could use but not heading. Safer to keep one list. But we need to ensure we don't lose info: required: Bachelor's degree, 7 years experience, demonstrated track record, working knowledge of ML and statistical methods, strong software engineering skills proficiency in Python, experience with ML design and infrastructure, hands-on experience with deep learning and LLM frameworks, hands-on experience building generative AI applications. Preferred: Master's degree or PhD, experience with generative AI research, experience building agent-based systems, experience with cloud platforms, solid MLOps/LLMOps, experience rapidly developing software in fast-paced customer-facing environment, understanding of responsible AI and governance for regulated or healthcare environments. We'll include both. Also note "Hybrid" schedule details: two days in office, etc. Also "Job Schedule : Full time". So schedule: Full-time, hybrid model requiring in-office two days per week (with flexibility for those >50 miles, out-of-state, certain roles, medical accommodations). Also note that company may require more presence based on business needs. We'll put that in Schedule section. Pay section: include both ranges and note. Now produce HTML. Check for any repeated content: ensure we don't duplicate. Let's draft. About the role paragraph: combine the "Your Role" description and location list. Your Role paragraph: "The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying machine learning, statistical analysis, generative AI, and applied AI to build intelligent products that create "intelligence at scale." Reporting to the Director, AI & Machine Learning, the Data Scientist, Consultant will develop and deploy novel applications that leverage machine learning models, statistical methods, and generative AI. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1. You will design, build, and ship production-grade AI products, including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, statistical models, and AI-enabled automation, embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning." Then add location list: "Locations: Oakland, CA; WA; OH; DC; CA; Long Beach, CA; AZ; CO; CT; FL; GA; MD; MN; NV; OR; El Dorado Hills, CA; San Diego, CA; Woodland Hills, CA; AL; IL; VA; WI; TX; NY; United States." Might be too long but preserve. We could phrase: "This position is available in multiple locations including Oakland, CA; various states such as WA, OH, DC, CA, Long Beach, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR; El Dorado Hills, CA; San Diego, CA; Woodland Hills, CA; AL, IL, VA, WI, TX, NY." Ok. Now Responsibilities list: extract each bullet from "Your Work In this role, you will:" then each line. List: - Develop and deploy novel applications that leverage machine learning and generative AI models, contributing to the technical direction for AI, machine learning, and statistical analysis across the organization - Design and develop scalable applications leveraging machine learning and generative AI models—LLM applications, copilots, agents, and RAG and search—embedded in customer-facing products and enterprise workflows - Rapidly prototype new features and iterate based on evaluation results and statistical analysis - Contribute to the architecture and development of new products and features from 0 to 1 - Collaborate with researchers and product managers to translate cutting-edge AI and machine learning research into tangible product features - Build the APIs, services, and data and retrieval pipelines that expose AI and machine learning capabilities to applications - Optimize software performance and ensure the reliability of deployed applications - Apply and promote best practices for building and deploying machine learning and generative AI applications - Evaluate model performance using statistical analysis, analyze results, and implement improvements, ensuring responsible and compliant AI - Provide technical guidance to less experienced team members, fostering a collaborative and high-performing environment Now Qualifications list: required and preferred. Required: - Bachelor's degree in computer science, statistics, quantitative discipline, or equivalent practical experience - 7 years of experience in software development, applied AI/ML, and statistical analysis - Demonstrated track record of building and shipping software products rapidly, not just developing models or analyses - Working knowledge of machine learning and statistical analysis methods, with experience applying these techniques to business problems - Strong software engineering skills and proficiency in Python, including building APIs and backend services - Experience with ML design and ML infrastructure, including model deployment, evaluation, and data processing, and working with machine learning frameworks and libraries - Hands-on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph - Hands-on experience building applications that leverage generative AI models, including prompt engineering and retrieval-augmented generation (RAG) Preferred: - Master's degree; or a PhD with relevant experience - Experience with generative AI research or applications - Experience building agent-based systems and working with orchestration frameworks - Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark - Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management - Experience rapidly developing and shipping software in a fast-paced, customer-facing environment, adapting to changing priorities - Understanding of responsible AI and governance for regulated or healthcare environments Now Schedule: combine. - Full-time position. - Hybrid workplace model: expected in-office two days per week for most teams. - Employees living more than 50 miles from an office location, out-of-state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need. - For employees with medical conditions that may impact ability to work in-office, reasonable accommodations will be provided. - The company reserves the right to require more office presence based on business needs, with periodic reviews. Now Pay: include ranges and note. - Pay range for California: $133,500.00 to $200,300.00 - Pay range for Bay Area: $150,500.00 to $225,800.00 - Note: This range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade; salaries are based on factors including candidate experience, location (California, Bay Area, or outside California), and current employee salaries for similar roles. - Role can be filled by a candidate requiring sponsorship: No. Now produce HTML. Make sure to use

for each section heading. Use