Pipeline run
da341b7c-8cb6-47e8-a22b-4eba0248844d
Pipeline LLM cost (USD)
API 1: $0.0041
API 2: $0.0000
API 3: $0.0000
Total: $0.0041
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionNature of work
—
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.50 / 5
· Title match
✓ Has AI skill
· AI skill (primary)
✓ AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
—
Frameworks (×2):
—
Models / concepts (×3):
Machine Learning, Reinforcement Learning
Evidence — skills matched in JD (20)
SQL
Python
Databricks
AWS
A/B Testing
Experimentation
Causal Inference
Analytics
Product Analytics
Measurements
Big Data
Dashboards
Regression
Classification
Time Series Analysis
Price Elasticity
Machine Learning
Reinforcement Learning
Multi-Armed Bandit Algorithms
Recommendations
Skill cluster (0 dimension groups, role-scoped)
Show KRA description ↓
• Collaborate with product teams to harness data from diverse sources—uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement.
• Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development.
• Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers.
• Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions.
• Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs.
Experience & Qualifications:
• Educational Background: Bachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field.
• Experience: 2+ years of analytics experience with a focus on product analytics and measurements.
• Technical Expertise: Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets.
• Cross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies.
• Problem-Solving & General Management: Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships.
• Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance.
• Economic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial.
• Multivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods.
• Machine Learning Models: Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning.
Signals
Skill
data-engineer
0.15
Alias
—
—
KRA
data-engineer
0.35
Status:
extract_from_jd_done
Created: 2026-05-18T20:47:56.010427Z
Updated: 2026-05-18T20:47:56.010427Z
Flow
Current 3-step pipeline
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Role
Chosen role & resolution
No chosen role stored for this run.
Job description
Data Scientist II, Analytics Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Data Scientist II – Analytics At Expedia Group, our mission is to power global travel for everyone, everywhere. If you're passionate about creating exceptional customer experiences and thrive in a collaborative, fast-paced, high-growth environment, you’ll love being part of Expedia Group Advertising's Yield & Analytics (Y&A) team. We’re looking for an exceptional Data Scientist II, Analytics to join our team. If you have a strong analytical mindset, a strategic approach, and a bias for action, this is your opportunity to make a real impact. In this role, you’ll collaborate closely with product partners to optimize and launch best-in-class onsite advertising solution. This is an exciting opportunity to join a dynamic, international team where data is at the heart of every decision, and customer centricity drives everything we do. In This Role, You Will • Collaborate with product teams to harness data from diverse sources—uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement. • Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development. • Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers. • Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions. • Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs. Must Have Experience & Qualifications: • Educational Background: Bachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field. • Experience: 2+ years of analytics experience with a focus on product analytics and measurements. • Technical Expertise: Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets. • Cross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies. • Problem-Solving & General Management: Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships. Good To Have • Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance. • Economic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial. • Multivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods. • Machine Learning Models: Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
SQL
Primary
No API 2 row (run stopped after API 1 or history missing)
Python
Primary
No API 2 row (run stopped after API 1 or history missing)
Databricks
Primary
No API 2 row (run stopped after API 1 or history missing)
AWS
Primary
No API 2 row (run stopped after API 1 or history missing)
A/B Testing
Primary
No API 2 row (run stopped after API 1 or history missing)
Experimentation
Primary
No API 2 row (run stopped after API 1 or history missing)
Causal Inference
Primary
No API 2 row (run stopped after API 1 or history missing)
Analytics
Primary
No API 2 row (run stopped after API 1 or history missing)
Product Analytics
Primary
No API 2 row (run stopped after API 1 or history missing)
Measurements
Primary
No API 2 row (run stopped after API 1 or history missing)
Big Data
Primary
No API 2 row (run stopped after API 1 or history missing)
Dashboards
Primary
No API 2 row (run stopped after API 1 or history missing)
Regression
Primary
No API 2 row (run stopped after API 1 or history missing)
Classification
Primary
No API 2 row (run stopped after API 1 or history missing)
Time Series Analysis
Secondary
No API 2 row (run stopped after API 1 or history missing)
Price Elasticity
Secondary
No API 2 row (run stopped after API 1 or history missing)
Machine Learning
Secondary
No API 2 row (run stopped after API 1 or history missing)
Reinforcement Learning
Secondary
No API 2 row (run stopped after API 1 or history missing)
Multi-Armed Bandit Algorithms
Secondary
No API 2 row (run stopped after API 1 or history missing)
Recommendations
Secondary
No API 2 row (run stopped after API 1 or history missing)
Library artifacts (this run)
No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleData Scientist II, Analytics
CompanyExpedia Group
Experience2+ years of analytics experience
DomainTravel & Hospitality
JD type
pass
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "Expedia Group brands power global",
"last_5_words": "in driving our success."
},
"text": "Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.",
"word_count": 47
},
"certifications": [],
"company_name": "Expedia Group",
"ctc": null,
"domain": {
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"Tourism"
],
"domain": "Travel \u0026 Hospitality"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE/BSC - Statistics / Mathematics / Economics / Data Science (or related)",
"raw": "Bachelor\u2019s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field.",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 2,
"raw": "2+ years of analytics experience"
},
"job_locations": [],
"role": "Data Scientist II, Analytics",
"role_archetype": "Data",
"roles_and_responsibilities": [
{
"bullet_count": 5,
"heading": "In This Role, You Will",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Collaborate with product teams",
"last_5_words": "business objectives and customer needs."
},
"text": "\u2022 Collaborate with product teams to harness data from diverse sources\u2014uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement.\n\u2022 Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development.\n\u2022 Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers.\n\u2022 Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions.\n\u2022 Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs.",
"word_count": 195
},
{
"bullet_count": 5,
"heading": "Must Have",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Experience \u0026 Qualifications:\n\u2022 Educational Background:",
"last_5_words": "and cross-functional relationships."
},
"text": "Experience \u0026 Qualifications:\n\u2022 Educational Background: Bachelor\u2019s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field.\n\u2022 Experience: 2+ years of analytics experience with a focus on product analytics and measurements.\n\u2022 Technical Expertise: Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets.\n\u2022 Cross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies.\n\u2022 Problem-Solving \u0026 General Management: Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships.",
"word_count": 104
},
{
"bullet_count": 4,
"heading": "Good To Have",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Advanced Analytical Skills: Expertise",
"last_5_words": "or reinforcement learning."
},
"text": "\u2022 Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance.\n\u2022 Economic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial.\n\u2022 Multivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods.\n\u2022 Machine Learning Models: Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning.",
"word_count": 81
}
],
"urls": [
{
"type": "careers",
"url": "https://careers.expediagroup.com/jobs"
}
]
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "SQL"
},
{
"is_primary": true,
"skill_name": "Python"
},
{
"is_primary": true,
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},
{
"is_primary": true,
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},
{
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"skill_name": "A/B Testing"
},
{
"is_primary": true,
"skill_name": "Experimentation"
},
{
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"skill_name": "Causal Inference"
},
{
"is_primary": true,
"skill_name": "Analytics"
},
{
"is_primary": true,
"skill_name": "Product Analytics"
},
{
"is_primary": true,
"skill_name": "Measurements"
},
{
"is_primary": true,
"skill_name": "Big Data"
},
{
"is_primary": true,
"skill_name": "Dashboards"
},
{
"is_primary": true,
"skill_name": "Regression"
},
{
"is_primary": true,
"skill_name": "Classification"
},
{
"is_primary": false,
"skill_name": "Time Series Analysis"
},
{
"is_primary": false,
"skill_name": "Price Elasticity"
},
{
"is_primary": false,
"skill_name": "Machine Learning"
},
{
"is_primary": false,
"skill_name": "Reinforcement Learning"
},
{
"is_primary": false,
"skill_name": "Multi-Armed Bandit Algorithms"
},
{
"is_primary": false,
"skill_name": "Recommendations"
}
],
"jd_role": {
"display_name": "Data Scientist II, Analytics",
"rationale": null,
"role_archetype": "Data",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "Expedia Group brands power global",
"last_5_words": "in driving our success."
},
"text": "Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.",
"word_count": 47
},
"certifications": [],
"company_name": "Expedia Group",
"ctc": null,
"domain": {
"primary": {
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"Travel-Tech",
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],
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},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE/BSC - Statistics / Mathematics / Economics / Data Science (or related)",
"raw": "Bachelor\u2019s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field.",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 2,
"raw": "2+ years of analytics experience"
},
"job_locations": [],
"role": "Data Scientist II, Analytics",
"role_archetype": "Data",
"roles_and_responsibilities": [
{
"bullet_count": 5,
"heading": "In This Role, You Will",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Collaborate with product teams",
"last_5_words": "business objectives and customer needs."
},
"text": "\u2022 Collaborate with product teams to harness data from diverse sources\u2014uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement.\n\u2022 Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development.\n\u2022 Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers.\n\u2022 Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions.\n\u2022 Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs.",
"word_count": 195
},
{
"bullet_count": 5,
"heading": "Must Have",
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"source_marker": {
"first_5_words": "Experience \u0026 Qualifications:\n\u2022 Educational Background:",
"last_5_words": "and cross-functional relationships."
},
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"word_count": 104
},
{
"bullet_count": 4,
"heading": "Good To Have",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Advanced Analytical Skills: Expertise",
"last_5_words": "or reinforcement learning."
},
"text": "\u2022 Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance.\n\u2022 Economic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial.\n\u2022 Multivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods.\n\u2022 Machine Learning Models: Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning.",
"word_count": 81
}
],
"urls": [
{
"type": "careers",
"url": "https://careers.expediagroup.com/jobs"
}
]
},
"run_id": null,
"stage3_signals": {
"alias_match_roles": [],
"kra_match_roles": [
{
"display_name": "Data Engineer",
"matched_count": null,
"role_id": 2,
"score": 0.3513,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "ML Engineer",
"matched_count": null,
"role_id": 3,
"score": 0.3395,
"slug": "ml-engineer",
"total_count": null
},
{
"display_name": "Cybersecurity Engineer",
"matched_count": null,
"role_id": 5,
"score": 0.3281,
"slug": "cybersecurity-engineer",
"total_count": null
},
{
"display_name": "Android Engineer",
"matched_count": null,
"role_id": 4,
"score": 0.3262,
"slug": "android-engineer",
"total_count": null
},
{
"display_name": "AR/VR Engineer",
"matched_count": null,
"role_id": 8,
"score": 0.3237,
"slug": "ar-vr-engineer",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "Data Engineer",
"matched_count": 3,
"role_id": 2,
"score": 0.15,
"slug": "data-engineer",
"total_count": 20
},
{
"display_name": "ML Engineer",
"matched_count": 2,
"role_id": 3,
"score": 0.1,
"slug": "ml-engineer",
"total_count": 20
},
{
"display_name": "Backend Engineer",
"matched_count": 2,
"role_id": 1,
"score": 0.1,
"slug": "backend-engineer",
"total_count": 20
},
{
"display_name": "Cybersecurity Engineer",
"matched_count": 2,
"role_id": 5,
"score": 0.1,
"slug": "cybersecurity-engineer",
"total_count": 20
},
{
"display_name": "AR/VR Engineer",
"matched_count": 1,
"role_id": 8,
"score": 0.05,
"slug": "ar-vr-engineer",
"total_count": 20
}
],
"stage35_ran": false
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "E",
"chosen_role": null,
"confidence": 0.0,
"llm2_fired": false,
"llm2_reasoning": null,
"queued": true,
"reasoning": "low_kra: top KRA 0.35 \u003c 0.4"
},
"stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.
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