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Pipeline run

04caac28-a27a-413a-bb47-d1422cafdf9c

Pipeline LLM cost (USD)
API 1: $0.0038 API 2: $0.0000 API 3: $0.0000 Total: $0.0038

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work
no_db_connection
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 (14)
SQL Python Databricks AWS A/B Testing Experimentation Causal Inference Regression Classification Time Series Analysis Machine Learning Reinforcement Learning Multi-Armed Bandit Algorithms Recommendations
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
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
0.21
Alias
KRA data-engineer
0.35
Status: extract_from_jd_done Created: 2026-05-18T21:00:21.091011Z Updated: 2026-05-18T21:00:21.091011Z
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)
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)
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 with a focus on product analytics and measurements.
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": 42
  },
  "certifications": [],
  "company_name": "Expedia Group",
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  "domain": {
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      "domain": "Travel \u0026 Hospitality"
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  },
  "education": [
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      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE/BSC - Statistics / Mathematics / Economics / Data Science (or related)",
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      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": 2,
    "raw": "2+ years of analytics experience with a focus on product analytics and measurements."
  },
  "job_locations": [],
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  "roles_and_responsibilities": [
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      "heading": "In This Role, You Will",
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      "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": 134
    },
    {
      "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": 83
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      "bullet_count": 4,
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      "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": 66
    }
  ],
  "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,
      "skill_name": "Databricks"
    },
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      "is_primary": true,
      "skill_name": "AWS"
    },
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      "skill_name": "Experimentation"
    },
    {
      "is_primary": true,
      "skill_name": "Causal Inference"
    },
    {
      "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": "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": 42
    },
    "certifications": [],
    "company_name": "Expedia Group",
    "ctc": null,
    "domain": {
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        "aliases": [
          "Travel-Tech",
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      "secondary": null
    },
    "education": [
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        "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 with a focus on product analytics and measurements."
    },
    "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": 134
      },
      {
        "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": 83
      },
      {
        "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.",
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      }
    ],
    "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",
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      },
      {
        "display_name": "Cybersecurity Engineer",
        "matched_count": null,
        "role_id": 5,
        "score": 0.328,
        "slug": "cybersecurity-engineer",
        "total_count": null
      },
      {
        "display_name": "Android Engineer",
        "matched_count": null,
        "role_id": 4,
        "score": 0.3261,
        "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": 0.2143,
        "slug": "data-engineer",
        "total_count": 14
      },
      {
        "display_name": "ML Engineer",
        "matched_count": 2,
        "role_id": 3,
        "score": 0.1429,
        "slug": "ml-engineer",
        "total_count": 14
      },
      {
        "display_name": "Backend Engineer",
        "matched_count": 2,
        "role_id": 1,
        "score": 0.1429,
        "slug": "backend-engineer",
        "total_count": 14
      },
      {
        "display_name": "Cybersecurity Engineer",
        "matched_count": 2,
        "role_id": 5,
        "score": 0.1429,
        "slug": "cybersecurity-engineer",
        "total_count": 14
      },
      {
        "display_name": "AR/VR Engineer",
        "matched_count": 1,
        "role_id": 8,
        "score": 0.0714,
        "slug": "ar-vr-engineer",
        "total_count": 14
      }
    ],
    "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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