💼 LinkedIn Jobs API

Real-time job market intelligence with hourly updates , covering 34 industry sectors across the United States and United Kingdom.

Extract structured, real-time job listings from LinkedIn with advanced search filters and AI-driven enrichment. Built for building job platforms, competitive benchmarking, recruiting analytics, and training AI models.

Learn more about our data products at the Great Data Company - Jobs API Product Page.

🚀 Key Features

• AI-Derived Enriched Insights: Automatically classifies responsibilities, requirements, benefits, industries, experience levels, contract types and work environments.
• Advanced Search Filters: Filter by job title, company, precise location, exact matching, salary ranges, and posting timeframes.
• Structured Salary Data: Extracts minimum, maximum, currency, and payment period from job descriptions.
• Company Intelligence: Scrapes company URLs, IDs, logos, and slugs for seamless integration.
• Pre-Built Custom Views: Tailor data display using views like Overview, Job Details, AI Analysis, Extracted Metadata, Company, and Raw Job.

---

🛠 Input Parameters

Configure the Actor input using JSON or the Apify UI. Here are the available input fields:

🔍 Search & Filtering

Parameter	Type	Description
title	Array	Filter by job titles (use quotes like"Software Engineer" for exact match).
company	Array	Filter by company names (use quotes like"Google" for exact match).
location	Array	Filter by locations (e.g.,New York).
timeframe	String	Restrict by posting timeframe (1h, 24h, 7d, 30d).
query	String	Full-text search query across job listings.
posted_after / posted_before	Integer	Filter jobs posted within specific Unix timestamps.
created_after / created_before	Integer	Filter jobs indexed in our system within specific Unix timestamps.

💡 Location Search Tip

For the most accurate results, use the full location string instead of a partial location.

Example:

• ✅ New York, NY, United States
• ⚠️ New York

You can use https://location.aws.com/demo to find the exact location strings to use.

🤖 AI-Derived Filters

Parameter	Type	Options / Notes
ai_industries	Array	Filter by 30+ AI-derived industries (e.g.,software engineering, cybersecurity, marketing).
match_all_ai_industries	Boolean	Require jobs to matchall selected AI industries (true) or any (false).
ai_experience_levels	Array	Filter by AI-derived experience levels (entry-level, junior (1-3 years), intermediate (4-7 years), experienced (8-12 years), expert & leadership (13+ years)).
match_all_ai_experience_levels	Boolean	Require jobs to matchall selected AI experience levels (true) or any (false).
ai_contract_types	Array	Filter by AI-derived contract types (full time, contractor, part time, apprenticeship, internship).
ai_work_environments	Array	Filter by AI-derived work environments (hybrid, office full-time, remote, onsite, field).

📊 Raw & Metadata Filters

Parameter	Type	Description
li_company_slug	Array	Filter by LinkedIn company slugs (e.g.,google, jpmorganchase).
li_company_id	Array	Filter by LinkedIn company IDs (e.g.,1068).
salary_min / salary_max	Integer	Filter by minimum and maximum salary requirements.
industries	Array	Filter by raw industries mentioned in the job listing.
experience_levels	Array	Filter by raw experience levels mentioned in the job listing.
contract_types	Array	Filter by raw contract types mentioned in the job listing.
work_environments	Array	Filter by raw work environments mentioned in the job listing.

⚙️ Output & Pagination Controls

Parameter	Type	Description
limit	Integer	Maximum number of jobs to return (default:100, max: 1000).
offset	Integer	Number of matching jobs to skip for pagination (default:0).
include_fields	Array	Include heavy payload fields such asdescription_html and description_text.

---

📝 Example Input JSON

{
  "title": ["Software Engineer", "Data Scientist"],
  "location": ["New York, NY, United States"],
  "timeframe": "7d",
  "ai_experience_levels": ["junior (1-3 years)", "intermediate (4-7 years)"],
  "ai_work_environments": ["remote", "hybrid"],
  "salary_min": 80000,
  "limit": 100,
  "offset": 0
}

---

📄 Paginating Through Your Search Results

The API uses offset-based pagination with the limit and offset parameters.

To retrieve all jobs matching your search:

1. Choose a limit (up to 1000).
2. Start with offset: 0.
3. Increase offset by limit after each request.
4. Continue requesting pages until the API returns fewer jobs than the requested limit. This indicates you've reached the final page.

Example

Request 1: limit=1000, offset=0     → 1000 jobs
Request 2: limit=1000, offset=1000  → 1000 jobs
Request 3: limit=1000, offset=2000  → 437 jobs

Since the final request returned fewer than 1000 jobs, there are no more results.

---

📊 Output Dataset

The Actor returns structured job records with normalized fields and AI insights. Key output fields include:

• Core Details: job_id, url, title, company, posted_at, locations.
• Structured Salary Data: salary, salary_min, salary_max, salary_currency, salary_period.
• AI Analysis: ai_industries, ai_experience_levels, ai_contract_type, ai_work_environment, ai_requirement_bullet_points, ai_responsibility_bullet_points, ai_benefit_bullet_points.
• Company Information: li_company_url, li_company_id, li_company_slug, li_company_logo.
• Raw & Full Content: description_text, description_html, bullet_points, paragraphs.

Pre-Configured Dataset Views

You can switch between dataset views directly in the Apify Console:

1. ⭐ Overview: Summary of key listing details and AI extraction.
2. 📋 Job: Standard fields like contract type, location, experience levels, and listing dates.
3. 🤖 AI Analysis: Extracted AI insights, salary range predictions, and categorized requirements/benefits.
4. 🏷 Extracted Metadata: Parsed location objects, Parsed salary data, and extraction timestamps.
5. 🏢 Company: Employer details, logos, and LinkedIn company profile URLs.
6. 📄 Raw Job: Full HTML/text description and raw IDs.

---

---

📄 Example Output

[
    {
      "job_id": "0e0b7504-9e7a-5a5e-a641-b09ba8c134f9",
      "title": "Software Engineer, Compute - Storage",
      "url": "https://www.linkedin.com/jobs/view/software-engineer-compute-storage-at-openai-4416726486?position=8&pageNum=69&refId=8MoBGWjvu5RXw5ULq4JetQ%3D%3D&trackingId=KlBygTYDdjjRwfLbkrskcw%3D%3D",
      "posted_at": 1784988974,
      "created_at": 1784991030,
      "company": "OpenAI",
      "locations": [
        "New York, NY"
      ],
      "locations_derived": [
        {
          "Locality": "New York",
          "Position": [
            "-74.00712",
            "40.71453"
          ],
          "Country": {
            "Name": "United States",
            "Code2": "US",
            "Code3": "USA"
          },
          "Label": "New York, NY, United States",
          "Region": {
            "Name": "New York",
            "Code": "NY"
          },
          "PostalCode": "10007",
          "SubRegion": {
            "Name": "New York"
          }
        }
      ],
      "salary": "$230,000.00/yr - $385,000.00/yr",
      "salary_min": 230000,
      "salary_max": 385000,
      "salary_currency": "USD",
      "salary_period": "year",
      "li_company_id": "11130470",
      "li_company_slug": "openai",
      "li_company_url": "https://www.linkedin.com/company/openai?trk=public_jobs_topcard-org-name",
      "li_company_logo": "https://media.licdn.com/dms/image/v2/D560BAQHpzXbqSyR74A/company-logo_100_100/B56ZT8EYB8HsAQ-/0/1739395793272/openai_logo?e=2147483647&v=beta&t=UE3RX4g5jO0WzxZIir4Dit4rZrlzHfCq5pFmYGHSLTU",
      "description_text": null,
      "description_html": null,
      "bullet_points": [
        "Build and operate storage services that underpin OpenAI’s research infrastructure",
        "Evolve the federation layer that unifies multiple backend systems behind a simple interface",
        "Have experience building or operating distributed systems in production",
        "Design lifecycle management capabilities that keep data durable, available, and cost-effective",
        "Build systems for cross-region data movement, replication, and recovery",
        "Develop object storage systems across cloud and in-house environments",
        "Collaborate closely with researchers and infrastructure teams to support rapidly evolving workloads",
        "Write strong production code, ideally in Rust or another systems-oriented language",
        "Have experience with tools such as Terraform, Grafana, or similar infrastructure and observability tooling",
        "Improve performance, reliability, and operational excellence across the platform",
        "Are comfortable working with Kubernetes-based systems",
        "Have worked on storage infrastructure, object stores, distributed filesystems, or other data-intensive backend systems",
        "Enjoy owning infrastructure end to end, including debugging and long-term reliability improvements"
      ],
      "paragraphs": [],
      "ai_industries": [
        "Software Engineering"
      ],
      "ai_experience_levels": [
        "intermediate (4-7 years)",
        "junior (1-3 years)"
      ],
      "ai_contract_type": "full time",
      "ai_work_environment": "office full-time",
      "ai_benefit_bullet_points": [],
      "ai_benefit_paragraphs": [],
      "ai_requirement_bullet_points": [
        "Have experience building or operating distributed systems in production",
        "Write strong production code, ideally in Rust or another systems-oriented language",
        "Have experience with tools such as Terraform, Grafana, or similar infrastructure and observability tooling",
        "Are comfortable working with Kubernetes-based systems",
        "Have worked on storage infrastructure, object stores, distributed filesystems, or other data-intensive backend systems",
        "Enjoy owning infrastructure end to end, including debugging and long-term reliability improvements"
      ],
      "ai_requirement_paragraphs": [],
      "ai_responsibility_bullet_points": [
        "Build and operate storage services that underpin OpenAI’s research infrastructure",
        "Evolve the federation layer that unifies multiple backend systems behind a simple interface",
        "Design lifecycle management capabilities that keep data durable, available, and cost-effective",
        "Build systems for cross-region data movement, replication, and recovery",
        "Develop object storage systems across cloud and in-house environments",
        "Collaborate closely with researchers and infrastructure teams to support rapidly evolving workloads",
        "Improve performance, reliability, and operational excellence across the platform"
      ],
      "ai_responsibility_paragraphs": [],
      "ai_salary_min": null,
      "ai_salary_max": null,
      "industries": [
        "Research Services"
      ],          
      "experience_levels": [
        "Not Applicable"
      ],
      "contract_type": "Full-time",
      "work_environment": null,    
      "additional_data": {
        "posted_raw": "19 minutes ago",
        "job_functions": [
          "Engineering and Information Technology"
        ],
        "applicants_raw": "Over 200 applicants"
      }    
    },
    {
      "job_id": "cafb8ba7-7c8d-5e74-b7dd-1231882fcb23",
      "title": "Staff Software Engineer, Data Engineering",
      "url": "https://www.linkedin.com/jobs/view/staff-software-engineer-data-engineering-at-pivotal-health-4427212677?position=2&pageNum=92&refId=cU9JIjungCC9DAnjdNb2DA%3D%3D&trackingId=0iXHCZDYVpVAnIx1WzJWFw%3D%3D",
      "posted_at": 1784983210,
      "created_at": 1784988281,
      "company": "Pivotal Health",
      "locations": [
        "New York, NY"
      ],
      "locations_derived": [
        {
          "Locality": "New York",
          "Position": [
            "-74.00712",
            "40.71453"
          ],
          "Country": {
            "Name": "United States",
            "Code2": "US",
            "Code3": "USA"
          },
          "Label": "New York, NY, United States",
          "Region": {
            "Name": "New York",
            "Code": "NY"
          },
          "PostalCode": "10007",
          "SubRegion": {
            "Name": "New York"
          }
        }
      ],
      "salary": "$210,000.00/yr - $240,000.00/yr",
      "salary_min": 210000,
      "salary_max": 240000,
      "salary_currency": "USD",
      "salary_period": "year",
      "li_company_id": "99045117",
      "li_company_slug": "pivotal-health-ai",
      "li_company_url": "https://www.linkedin.com/company/pivotal-health-ai?trk=public_jobs_topcard-org-name",
      "li_company_logo": "https://media.licdn.com/dms/image/v2/D560BAQGQekbzcOH3cg/company-logo_100_100/B56ZvZm4sJHsAQ-/0/1768882409360/pivotal_health_ai_logo?e=2147483647&v=beta&t=kjXDAbLhHNz6RO9NLrODwSgEqNLMrpRXQMnskMCpiGs",
      "description_text": null,
      "description_html": null,
      "bullet_points": [
        "Experience with healthcare data standards such as HL7, FHIR, CDA, or EHR integrations.",
        "Retirement savings plan through 401(k)",
        "Demonstrated bias toward ownership and delivering outcomes rather than simply completing tickets.",
        "Strong proficiency in Python and SQL, or similar backend languages.",
        "Own clinical data extraction architecture. Design and evolve the systems that ingest, process, and normalize structured and unstructured clinical data from multiple healthcare sources.",
        "Competitive compensation, including equity",
        "Experience with machine learning workflows.",
        "Familiarity with medical records, claims, or healthcare operations.",
        "Build document intelligence pipelines. Develop services that extract meaningful information from PDFs, scanned records, images, and clinical documentation.",
        "Experience making architectural decisions that influence multiple teams or business functions.",
        "Opportunities for company-wide connection and events",
        "Establish data quality standards. Create validation frameworks, monitoring systems, and feedback loops that improve extraction accuracy over time.",
        "Experience working with unstructured data and NLP systems.",
        "Experience designing large-scale data processing or document processing platforms, specifically working with clinical data - familiarity with medical terminology/coding practices.",
        "Full health, dental, and vision coverage",
        "Build scalable data extraction systems. Leverage the best available technologies and architectural approaches to improve information extraction, classification, and normalization across diverse healthcare data sources.",
        "Drive technical strategy for unstructured healthcare data. Evaluate technologies, standards, and architectural approaches that accelerate clinical data adoption.",
        "Influence and collaborate across clinical, product, engineering, data, and operational domains: Driving alignment on business objectives and translating them into technical systems that support provider evidence generation.",
        "Comfortable operating in ambiguous environments where requirements evolve as the business learns.",
        "Flexible time off",
        "Develop scalable ingestion services. Design resilient systems capable of processing large volumes of healthcare records with high reliability and accuracy.",
        "8+ years building backend software systems in production environments.",
        "Lead healthcare data modeling efforts. Create approaches for transforming raw clinical artifacts into structured, queryable datasets.",
        "Experience building LLM-powered extraction or document understanding systems.",
        "Mentor engineers across the organization. Raise engineering standards through design reviews, technical leadership, and hands-on collaboration.",
        "Proven ability to design systems that operate reliably across imperfect or incomplete datasets."
      ],
      "paragraphs": {},
      "ai_industries": [
        "Software Engineering"
      ],
      "ai_experience_levels": [
        "intermediate (4-7 years)",
        "junior (1-3 years)"
      ],
      "ai_contract_type": "full time",
      "ai_work_environment": "office full-time",
      "ai_benefit_bullet_points": [
        "Retirement savings plan through 401(k)",
        "Competitive compensation, including equity",
        "Opportunities for company-wide connection and events",
        "Full health, dental, and vision coverage",
        "Flexible time off"
      ],
      "ai_benefit_paragraphs": {},
      "ai_requirement_bullet_points": [
        "Experience with healthcare data standards such as HL7, FHIR, CDA, or EHR integrations.",
        "Demonstrated bias toward ownership and delivering outcomes rather than simply completing tickets.",
        "Strong proficiency in Python and SQL, or similar backend languages.",
        "Experience with machine learning workflows.",
        "Familiarity with medical records, claims, or healthcare operations.",
        "Experience making architectural decisions that influence multiple teams or business functions.",
        "Experience working with unstructured data and NLP systems.",
        "Experience designing large-scale data processing or document processing platforms, specifically working with clinical data - familiarity with medical terminology/coding practices.",
        "Comfortable operating in ambiguous environments where requirements evolve as the business learns.",
        "8+ years building backend software systems in production environments.",
        "Experience building LLM-powered extraction or document understanding systems.",
        "Proven ability to design systems that operate reliably across imperfect or incomplete datasets."
      ],
      "ai_requirement_paragraphs": {},
      "ai_responsibility_bullet_points": [
        "Own clinical data extraction architecture. Design and evolve the systems that ingest, process, and normalize structured and unstructured clinical data from multiple healthcare sources.",
        "Build document intelligence pipelines. Develop services that extract meaningful information from PDFs, scanned records, images, and clinical documentation.",
        "Establish data quality standards. Create validation frameworks, monitoring systems, and feedback loops that improve extraction accuracy over time.",
        "Build scalable data extraction systems. Leverage the best available technologies and architectural approaches to improve information extraction, classification, and normalization across diverse healthcare data sources.",
        "Drive technical strategy for unstructured healthcare data. Evaluate technologies, standards, and architectural approaches that accelerate clinical data adoption.",
        "Influence and collaborate across clinical, product, engineering, data, and operational domains: Driving alignment on business objectives and translating them into technical systems that support provider evidence generation.",
        "Develop scalable ingestion services. Design resilient systems capable of processing large volumes of healthcare records with high reliability and accuracy.",
        "Lead healthcare data modeling efforts. Create approaches for transforming raw clinical artifacts into structured, queryable datasets.",
        "Mentor engineers across the organization. Raise engineering standards through design reviews, technical leadership, and hands-on collaboration."
      ],
      "ai_responsibility_paragraphs": {},
      "ai_salary_min": null,
      "ai_salary_max": null,
      "industries": [
        "Software Development"
      ],
      "experience_levels": [
        "Not Applicable"
      ],
      "contract_type": "Full-time",
      "work_environment": null,
      "additional_data": {
        "posted_raw": "1 hour ago",
        "job_functions": [
          "Engineering and Information Technology"
        ],
        "applicants_raw": "76 applicants"
      }
    },
    {
      "job_id": "84b13ac0-dbf6-52d7-b066-2ab73942c554",
      "title": "Data Scientist",
      "url": "https://www.linkedin.com/jobs/view/data-scientist-at-the-voleon-group-4409062442?position=5&pageNum=4&refId=ZVqFkdmHGn5Jpqyo9NipMQ%3D%3D&trackingId=OKBtuoEIHQOijCjSZyqSFw%3D%3D",
      "posted_at": 1784977638,
      "created_at": 1784985561,
      "company": "The Voleon Group",
      "locations": [
        "New York, NY"
      ],
      "locations_derived": [
        {
          "Locality": "New York",
          "Position": [
            "-74.00712",
            "40.71453"
          ],
          "Country": {
            "Name": "United States",
            "Code2": "US",
            "Code3": "USA"
          },
          "Label": "New York, NY, United States",
          "Region": {
            "Name": "New York",
            "Code": "NY"
          },
          "PostalCode": "10007",
          "SubRegion": {
            "Name": "New York"
          }
        }
      ],
      "salary": "$150,000.00/yr - $190,000.00/yr",
      "salary_min": 150000,
      "salary_max": 190000,
      "salary_currency": "USD",
      "salary_period": "year",
      "li_company_id": "2700263",
      "li_company_slug": "voleon-capital-management",
      "li_company_url": "https://www.linkedin.com/company/voleon-capital-management?trk=public_jobs_topcard-org-name",
      "li_company_logo": "https://media.licdn.com/dms/image/v2/C560BAQGENLLnX5Ai9w/company-logo_100_100/company-logo_100_100/0/1630584753475/voleon_capital_management_logo?e=2147483647&v=beta&t=T1bFAdPTQRcoYgdDv4SQUSMk_fjYq-IoxT_CoPVMdgM",
      "description_text": null,
      "description_html": null,
      "bullet_points": [
        "Basic software development skills and experience with bash, linux/unix, and git",
        "Ability to frame and answer questions mathematically",
        "Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships",
        "Perform extemporaneous analyses on research and production trading systems with leadership",
        "Master\u2019s degree in a quantitative discipline",
        "1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization",
        "Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication",
        "Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R",
        "Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders",
        "Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring",
        "Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds",
        "Ability to infer useful forward-looking directions from results of retrospective analysis",
        "Bachelor\u2019s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)",
        "Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow",
        "Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions",
        "Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems"
      ],
      "paragraphs": {},
      "ai_industries": [
        "Data Science and Analytics"
      ],
      "ai_experience_levels": [
        "intermediate (4-7 years)"
      ],
      "ai_contract_type": "full time",
      "ai_work_environment": "office full-time",
      "ai_benefit_bullet_points": {},
      "ai_benefit_paragraphs": {},
      "ai_requirement_bullet_points": [
        "Basic software development skills and experience with bash, linux/unix, and git",
        "Ability to frame and answer questions mathematically",
        "Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships",
        "Master\u2019s degree in a quantitative discipline",
        "1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization",
        "Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication",
        "Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R",
        "Ability to infer useful forward-looking directions from results of retrospective analysis",
        "Bachelor\u2019s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)",
        "Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow",
        "Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions"
      ],
      "ai_requirement_paragraphs": {},
      "ai_responsibility_bullet_points": [
        "Perform extemporaneous analyses on research and production trading systems with leadership",
        "Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders",
        "Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring",
        "Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds",
        "Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems"
      ],
      "ai_responsibility_paragraphs": {},
      "ai_salary_min": null,
      "ai_salary_max": null,
      "industries": [
        "Financial Services"
      ],
      "experience_levels": [
        "Not Applicable"
      ],
      "contract_type": "Full-time",
      "work_environment": null,
      "additional_data": {
        "posted_raw": "2 hours ago",
        "job_functions": [
          "Engineering and Information Technology"
        ],
        "applicants_raw": "Over 200 applicants"
      }
    },
    {
      "job_id": "302435d8-c3e6-5117-9e3c-58b5a65210af",
      "title": "Data Scientist II",
      "url": "https://www.linkedin.com/jobs/view/data-scientist-ii-at-bank-of-america-4428164843?position=1&pageNum=15&refId=jEu48%2Fb59cD3EskIibAt5Q%3D%3D&trackingId=8G6DBAhuuD4QxbBg2jhdeg%3D%3D",
      "posted_at": 1784977574,
      "created_at": 1784986183,
      "company": "Bank of America",
      "locations": [
        "New York, NY"
      ],
      "locations_derived": [
        {
          "Locality": "New York",
          "Position": [
            "-74.00712",
            "40.71453"
          ],
          "Country": {
            "Name": "United States",
            "Code2": "US",
            "Code3": "USA"
          },
          "Label": "New York, NY, United States",
          "Region": {
            "Name": "New York",
            "Code": "NY"
          },
          "PostalCode": "10007",
          "SubRegion": {
            "Name": "New York"
          }
        }
      ],
      "salary": "$165,000.00/yr - $246,200.00/yr",
      "salary_min": 165000,
      "salary_max": 246200,
      "salary_currency": "USD",
      "salary_period": "year",
      "li_company_id": "1123",
      "li_company_slug": "bank-of-america",
      "li_company_url": "https://www.linkedin.com/company/bank-of-america?trk=public_jobs_topcard-org-name",
      "li_company_logo": "https://media.licdn.com/dms/image/v2/C4D0BAQEL1rI2h3XGxg/company-logo_100_100/company-logo_100_100/0/1676325271208/bank_of_america_logo?e=2147483647&v=beta&t=eB9ITURV8Kb7BaN5HJmVlYSlxdBBNffnqiMvUycVxSY",
      "description_text": null,
      "description_html": null,
      "bullet_points": [
        "Critical thinking skills; able to take feedback and transform it into strategic action",
        "A Generative AI powered \u201cchatbot-like\u201d search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions",
        "Graduate level degree in a quantitative field such as, computer science, math, and physics",
        "Presentation Skills",
        "DevOps Practices",
        "Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients",
        "Extensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things work",
        "Artificial Intelligence/Machine Learning",
        "A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients",
        "You have 3-5 years of data science experience working in a highly technical environment",
        "Strong verbal, communication, technical design and documentation skills",
        "Agile Practices",
        "Understanding of how to frame a data science problem and a high-level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)",
        "You will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS",
        "Risk Management",
        "Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib",
        "Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions",
        "Application Development",
        "A comprehensive AI model that helps to move foreign currency conversion \u201cup the payment stream\u201d and away from the beneficiary banks",
        "Data Visualization",
        "Technical Documentation",
        "You will work closely with other Data Scientists to set technical strategy and prioritize development work",
        "Policies, Procedures, and Guidelines Management",
        "You will be responsible for the success and improvement of the aplications that support development, research, and data science in GPS (the \"products\"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the \"users\"",
        "Written Communications",
        "Business Analytics",
        "Solid understanding of data structures and algorithms with substantial Python experience",
        "Bachelor\u2019s degree in a quantitative field such as: computer science, math, and physics"
      ],
      "paragraphs": {},
      "ai_industries": [
        "Data Science and Analytics"
      ],
      "ai_experience_levels": [
        "intermediate (4-7 years)",
        "experienced (8-12 years)"
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      "ai_contract_type": "full time",
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      "ai_benefit_bullet_points": {},
      "ai_benefit_paragraphs": {},
      "ai_requirement_bullet_points": [
        "Critical thinking skills; able to take feedback and transform it into strategic action",
        "A Generative AI powered \u201cchatbot-like\u201d search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions",
        "Graduate level degree in a quantitative field such as, computer science, math, and physics",
        "Presentation Skills",
        "Extensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things work",
        "Artificial Intelligence/Machine Learning",
        "You have 3-5 years of data science experience working in a highly technical environment",
        "Strong verbal, communication, technical design and documentation skills",
        "Agile Practices",
        "Understanding of how to frame a data science problem and a high-level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)",
        "Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib",
        "Data Visualization",
        "Written Communications",
        "Business Analytics",
        "Solid understanding of data structures and algorithms with substantial Python experience",
        "Bachelor\u2019s degree in a quantitative field such as: computer science, math, and physics"
      ],
      "ai_requirement_paragraphs": {},
      "ai_responsibility_bullet_points": [
        "Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients",
        "You will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS",
        "Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions",
        "A comprehensive AI model that helps to move foreign currency conversion \u201cup the payment stream\u201d and away from the beneficiary banks",
        "You will work closely with other Data Scientists to set technical strategy and prioritize development work",
        "You will be responsible for the success and improvement of the aplications that support development, research, and data science in GPS (the \"products\"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the \"users\""
      ],
      "ai_responsibility_paragraphs": {},
      "ai_salary_min": null,
      "ai_salary_max": null,
      "industries": [
        "Banking"
      ],
      "experience_levels": [
        "Not Applicable"
      ],
      "contract_type": "Full-time",
      "work_environment": null,
      "additional_data": {
        "posted_raw": "2 hours ago",
        "job_functions": [
          "Engineering and Information Technology"
        ],
        "applicants_raw": "Over 200 applicants"
      }
    },
    ...
]

---

✉️ Support & Custom Solutions

For custom scraper configurations, enterprise data needs, or technical support, feel free to contact us:

• Website: https://greatdatacompany.com/products/jobs-api
• Email: matt@greatdatacompany.com