Lead Scientist, Data Science (Pricing Optimization) - Hybrid

We need to output HTML fragment with sections: About the role? The posting includes "About the Lead Scientist, Data Science job Pay, benefits and more:" then bullet list. Also "What you’ll need to succeed as a Lead Scientist, Data Science at XPO Minimum qualifications: ..." and "Preferred qualifications:" then "What you’ll do on a typical day:" then "Annual Salary Range:" etc. Also screening requirements at top: "Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements." This is not a section heading but could be included as a paragraph maybe under a generic heading? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Do NOT repeat the job title as a heading. Do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. Thus we need to decide which sections to include: We have content for: - Minimum qualifications (maybe under Requirements or Qualifications) - Preferred qualifications (maybe also under Qualifications) - Responsibilities (What you’ll do on a typical day) - Benefits (Pay, benefits and more: includes compensation, health insurance, PTO, holidays, 401k, education assistance, incentive plan) - Pay (Annual Salary Range: $129,446 to $161,807 plus sign-on bonus etc.) - Possibly "About the role" (the description about XPO? Actually there is "About XPO" at end, but that's company description; maybe we can include as "About the role" or "About XPO"? The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can have sections: About the role (maybe summarizing the role purpose), Responsibilities, Requirements (minimum qualifications), Qualifications (preferred), Benefits, Pay. Also maybe Skills? Not explicitly listed but could be derived from qualifications. But we should not invent. We need to preserve all substantive information. So we need to include the screening requirements somewhere. It's not a standard heading but could be placed as a paragraph under maybe "About the role" or as its own paragraph without heading? The instruction says use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid having paragraphs without heading. So we can include a

for the screening note before sections. We must not include boilerplate like EEO, privacy statement, etc. Remove those. We must not include duplicated lines. We need to output only HTML fragment, no /, no markdown fences. Let's extract content: Screening note: "Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements." We'll put that as a

. Now "What you’ll need to succeed as a Lead Scientist, Data Science at XPO Minimum qualifications: Bachelor’s degree or equivalent related work or military experience 4 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning Strong communication skills with a knack for translating complex AI concepts into clear business insights" Then "Preferred qualifications: Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline A Master’s or PhD in Computer Science, AI, Data Science, or a related quantitative field years of hands-on experience in developing and deploying optimization solutions 5+ years’ experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques. Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods" Note there is a weird "years of hands-on experience" missing number? It says "years of hands-on experience in developing and deploying optimization solutions". Probably missing a number; but we keep as is. Now "About the Lead Scientist, Data Science job Pay, benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan" Then "What you’ll do on a typical day: Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions You will be a thought leader for the practice of Data Science and Analytics across the organization Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations Communicate with technical and business-oriented audiences Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO" Then "Annual Salary Range: $129, 446 to $161,807. Actual compensation may vary due to factors such as experience and skill set. In addition to base salary, employees may be eligible for a sign-on bonus, annual and long-term incentive awards, and an equity buyout award. This is an incentive-based position, which may include bonuses, incentive or commission plans." Then "About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here." We need to remove EEO boilerplate etc. The "About XPO" includes EEO statement and drug test etc. Those are boilerplate/legal; we should remove them. Also "We are proud to be an Equal Opportunity employer..." etc. So we should keep only the substantive description about XPO: "XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO." That's the substantive part. The rest is boilerplate. Thus we can have an "About the role" or "About XPO" section. The instruction says use headings like About the role. So we can put an

About the role

and include that description. Now we need to decide sections: - About the role (description of XPO and role context) - Responsibilities (What you’ll do on a typical day) - Requirements (Minimum qualifications) - Qualifications (Preferred qualifications) maybe combine with Requirements? But we can have separate sections: Requirements (minimum) and Qualifications (preferred). Or we could have a single Qualifications section with both minimum and preferred. The instruction says prefer a few substantive sections over many thin ones. So maybe combine minimum and preferred into one Qualifications section, but we need to preserve all detail. Could have subheadings? Not allowed; only h3 for section headings. Could use

with bold? But we can just list both sets in same section with clear labeling. Alternatively we could have Requirements (minimum) and Qualifications (preferred) as separate sections; that's still a few sections. We also need Benefits and Pay. Benefits section includes compensation package, health insurance, PTO, holidays, 401k, education assistance, incentive plan. Pay section includes salary range and bonus info. Could combine Benefits and Pay into one "Compensation and Benefits" but instruction says use headings like Benefits, Pay. We can have both if they have real content. They do. Schedule: not mentioned, so omit. Skills: not explicitly listed; we could infer from qualifications but better not to invent. Thus sections: About the role, Responsibilities, Requirements (minimum), Qualifications (preferred), Benefits, Pay. We need to output HTML fragment with

headings and

• for lists,

  for prose. We need to turn lists into

  • . For responsibilities, we have multiple sentences; we can make each bullet a responsibility. Similarly for minimum qualifications: each bullet. Preferred qualifications: each bullet. Benefits: each bullet. Pay: maybe just a paragraph with details; could be a list but not required. We must preserve all substantive information; not invent or summarize away detail. Let's extract each piece precisely. Screening note paragraph: keep as is. About the role paragraph: "XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO." Now Responsibilities bullet list: - Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company - Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions - You will be a thought leader for the practice of Data Science and Analytics across the organization - Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation - Conduct and present ad-hoc analyses to senior leaders