Principal Data Scientist (Remote)

{
  "content_hash": "5b4bd76048b4891d7bbb38b3337ea98be1df978fb59a949b0b32c566e5e6a3e2",
  "source_hash": "e5c9bd618df88157229f9642ff28a4422721164bdfdcb327fc26260792af2e06",
  "last_changed_at": "2026-05-31T18:07:42.006Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": 231000,
  "salary_min": 137900,
  "inferred_at": "2026-06-06T11:13:58.127Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "detail": {
    "Id": "14155",
    "Title": "Principal Data Scientist (Remote)",
    "media": [],
    "skills": [],
    "JobType": null,
    "Category": "Miscellaneous",
    "JobGrade": null,
    "JobLevel": null,
    "JobShift": null,
    "WorkDays": null,
    "WorkHours": null,
    "WorkYears": null,
    "Department": "117080 Advanced Analytics",
    "HotJobFlag": true,
    "StudyLevel": null,
    "WorkMonths": null,
    "WorkerType": null,
    "GeographyId": 300000000296420,
    "JobFamilyId": 300000029452901,
    "JobFunction": null,
    "JobSchedule": "Full time",
    "BusinessUnit": null,
    "ContractType": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [
      {
        "Country": "US",
        "Region1": "Ingham",
        "Region2": "MI",
        "Region3": null,
        "Building": null,
        "Latitude": "42.73225",
        "Longitude": "-84.5539",
        "LocationId": 300001576968246,
        "PostalCode": "48933",
        "TownOrCity": "Lansing",
        "AddressLine1": "200 N Grand Ave",
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "Main Office"
      }
    ],
    "ContentLocale": "en",
    "HiringManager": null,
    "LegalEmployer": "Accident Fund Insurance Company of America",
    "RequisitionId": 300001944366147,
    "WorkplaceType": "Hybrid",
    "BusinessUnitId": 300000003897038,
    "OrganizationId": 300000003766059,
    "GeographyNodeId": 100003555250231,
    "JobFunctionCode": null,
    "LegalEmployerId": 300000003766059,
    "PrimaryLocation": "United States",
    "RequisitionType": "NBU",
    "NumberOfOpenings": null,
    "WorkplaceTypeCode": "ORA_HYBRID",
    "BeFirstToApplyFlag": false,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ExternalContactName": null,
    "ShortDescriptionStr": "The Principal Data Scientist is a senior individual contributor who serves as a technical authority in applying advanced analytics and machine learning to complex P&C insurance problems, including underwriting, pricing, and risk selection. This role owns the end‑to‑end analytical lifecycle, from problem formulation and model development through deployment, monitoring, and governance. Partners closely with Actuarial, MLOps, and IT to deliver scalable, production‑ready solutions. The Principal Data Scientist ensures long‑term model performance through rigorous validation, drift monitoring, and audit‑ready documentation, while advancing analytical best practices and evaluating emerging techniques relevant to commercial P&C insurance.",
    "ExternalContactEmail": null,
    "ExternalPostedEndDate": null,
    "OtherRequisitionTitle": null,
    "requisitionFlexFields": [],
    "ApplyWhenNotPostedFlag": null,
    "DomesticTravelRequired": null,
    "ExternalDescriptionStr": "<h1><span style=\"font-size: 10pt;\">SUMMARY:</span></h1><p><span style=\"color: black;\"><span style=\"font-size: 10pt;\">The Principal Data Scientist is a highly experienced individual contributor who serves as a technical authority in applying advanced analytics and machine learning to complex P&amp;C insurance problems, including underwriting, pricing, and risk selection. This role owns the end‑to‑end analytical lifecycle, from problem formulation and model development through deployment, monitoring, and governance. Partners closely with Actuarial, MLOps, and IT to deliver scalable, production‑ready solutions. The Principal Data Scientist ensures long‑term model performance through rigorous validation, drift monitoring, and audit‑ready documentation, while advancing analytical best practices and evaluating emerging techniques relevant to commercial P&amp;C insurance.</span></span></p><p><span style=\"font-size: 10pt;\"><strong>RESPONSIBILITIES/TASKS:</strong></span></p><ul style=\"list-style-type: disc;\"><li><a name=\"_Hlk131604869\"><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Acquires,&nbsp;</span></span></a><span style=\"font-size: 10pt;\">organizes, and cleanses structured and unstructured data.</span></li><li><span style=\"font-size: 10pt;\">Conducts in-depth analysis to uncover trends, risks, and business opportunities.</span></li><li><span style=\"font-size: 10pt;\">Applies statistical modeling, machine learning, and advanced analytics to develop predictive and prescriptive solutions.</span></li><li><span style=\"font-size: 10pt;\">Evaluate solution performance using statistically rigorous methods and measure the impact to business outcomes.</span></li><li><span style=\"font-size: 10pt;\">Collaborate with MLOps and IT partners to transition solution prototypes from pilot validation into production environments.</span></li><li><span style=\"font-size: 10pt;\">Ensures ongoing model health through post‑deployment monitoring, drift detection, and audit‑compliant governance practices.</span></li><li><a name=\"_Hlk131605197\"><span style=\"font-size: 10pt;\">Creates and communicates results to senior level audiences of varying backgrounds, using business-facing presentations, reports, and dashboards.</span></a></li><li><span style=\"font-size: 10pt;\">Author and maintain comprehensive technical documentation for data lineage, codebases, results, and production changes.</span></li><li><span style=\"font-size: 10pt;\">Provides technical and project guidance, including peer review of work, for data science team.</span></li><li style=\"color: black;\"><span style=\"font-size: 10pt;\">Leads the evaluation of new analytic tools and processes.</span></li><li style=\"color: black;\"><span style=\"color: windowtext;\"><span style=\"font-size: 10pt;\">Drives</span><span style=\"font-size: 10.5pt;\">&nbsp;</span><span style=\"font-size: 10pt;\">investigation and adoption of advanced machine learning and AI innovations.</span></span></li></ul><p>&nbsp;</p><p><span><strong>EDUCATION:</strong></span></p><p><span>Bachelor’s Degree in Data Science, Statistics, Mathematics, Operations Research, Actuarial Science, Computer Science, Engineering, Physics or related technical field required. Advanced degree preferred.&nbsp;</span></p><p><span style=\"font-size: 10pt;\"><strong>EXPERIENCE:</strong></span></p><p><span style=\"color: black;\"><span style=\"font-size: 10pt;\">10 years of experience in data science or related advanced analytics domains, including research and teaching, with 3+ years of technical leadership.</span></span></p><p><span style=\"color: black;\"><span style=\"font-size: 10pt;\"><strong>REQUIRED SKILLS/KNOWLEDGE/ABILITIES:</strong></span></span></p><ul style=\"list-style-type: disc; padding-left: 24px;\"><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Broad experience supporting underwriting functions within multi-line commercial P&amp;C insurance settings, including 3+ years of loss modeling for General Liability (aka Casualty) or Commercial Property.</span></span></li><li><span style=\"font-size: 10pt;\">Demonstrated expertise using Poisson, Gamma, and Tweedie distributions to build loss ratio, pure premium, and frequency–severity loss models for pricing.</span></li><li><span style=\"font-size: 10pt;\">Extensive experience leveraging supervised learning models (e.g., XGBoost, GLM, etc.) and unsupervised techniques (e.g., K-means clustering) to solve complex data science problems.</span></li><li><a name=\"_Hlk131608162\"><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Advanced Python programming</span></span></a><span style=\"color: black;\"><span style=\"font-size: 10pt;\"> skills, including scikit-learn, and proficient ETL abilities using SQL.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Comfortable explaining machine learning models with partial dependence plots and SHAP values.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Ability to conduct experiments e.g., A/B Testing, to evaluate the causal impact of model-driven decisions.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Experience using version control tools such as Git and Azure DevOps.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Experience working in cloud computing environments such as Azure, AWS, GCP, etc.</span></span></li><li><p><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Experience developing Agentic AI solutions to enable autonomous decision‑making and task orchestration.</span></span></p><p>&nbsp;</p></li></ul><p>&nbsp;</p><p><span style=\"color: black;\"><span style=\"font-size: 10pt;\"><strong>PREFERRED SKILLS/KNOWLEDGE/ABILITIES:</strong></span></span></p><ul style=\"list-style-type: disc; padding-left: 24px;\"><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">In-depth understanding of Workers Compensation or Commercial Vehicle insurance.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Experience supporting Claims, Marketing, or Operations functions within P&amp;C insurance settings.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Knowledge of actuarial concepts and terminology used in pricing and ratemaking.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Experience supporting both admitted and non-admitted commercial P&amp;C lines.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Understanding of NLP concepts such as topic modeling, Word2Vec, sentiment analysis, OCR, etc.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Knowledge of advanced neural net architectures like LSTM, CNN, Transformers, Graph NN, etc.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Experience with causal modeling techniques such as Meta-learners, Causal Forest, Double ML, etc.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Experience programming in the R language.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Ability to build interactive dashboards using frameworks such as Plotly Dash, Power BI, Flask, etc.</span></span></li><li><span style=\"color: black;\"><span style=\"font-size: 10pt;\">Experience applying deep learning frameworks such as PyTorch, Tensorflow, Keras, etc.</span></span></li></ul><p>&nbsp;</p><p><span style=\"color: black;\"><span style=\"font-size: 10pt;\"><strong>ADDITIONAL INFORMATION:</strong></span></span></p><p><span style=\"color: black;\"><span style=\"font-size: 10pt;\"><strong>&nbsp;</strong>The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. This job description does not constitute a contract for employment.</span></span></p><p><span style=\"color: black;\"><span style=\"font-size: 10pt;\"><strong>PAY RANGE:&nbsp;</strong></span></span></p><p><span style=\"color: black;\"><i><span style=\"font-size: 10pt;\">“Actual compensation decision relies on the consideration of internal equity, candidate’s skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $137,900 and $231,000.”</span></i></span></p><p><span style=\"color: black;\"><i><span style=\"font-size: 10pt;\">We are an Equal Opportunity Employer.&nbsp;We will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an \"at will\" basis.&nbsp; Nothing herein is intended to create a contract.</span></i></span></p><p><span style=\"color: black;\"><span style=\"font-size: 10pt;\">&nbsp;</span></span></p><p><span style=\"color: black;\"><i><span style=\"font-size: 10pt;\"><strong>#LI-CH1</strong></span></i></span></p><p><span style=\"color: black;\"><i><span style=\"font-size: 10pt;\"><strong>#AFG</strong></span></i></span></p>",
    "ObjectVerNumberProfile": null,
    "PrimaryLocationCountry": "US",
    "CorporateDescriptionStr": "",
    "ExternalPostedStartDate": "2026-04-30T12:43:59+00:00",
    "ExternalQualificationsStr": "",
    "InternalQualificationsStr": "",
    "OrganizationDescriptionStr": "",
    "primaryLocationCoordinates": [
      {
        "Latitude": "39.82844",
        "Longitude": "-98.57939",
        "CountryCode": "US",
        "GeographyId": 300000000296420,
        "GeographyNodeId": 100003555250231
      }
    ],
    "ExternalResponsibilitiesStr": "",
    "InternalResponsibilitiesStr": "",
    "InternationalTravelRequired": null
  },
  "list_job": {
    "Id": "14155",
    "Title": "Principal Data Scientist (Remote)",
    "JobType": null,
    "Distance": 1777507200000,
    "JobShift": null,
    "Language": "US",
    "WorkDays": null,
    "JobFamily": null,
    "Relevancy": 8,
    "WorkHours": null,
    "Department": null,
    "HotJobFlag": true,
    "PostedDate": "2026-04-30",
    "StudyLevel": null,
    "WorkerType": null,
    "GeographyId": 300000000296420,
    "JobFunction": null,
    "JobSchedule": null,
    "BusinessUnit": null,
    "ContractType": null,
    "ManagerLevel": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [
      {
        "Country": "US",
        "Region1": "Ingham",
        "Region2": "MI",
        "Region3": null,
        "Building": null,
        "Latitude": 42.73225,
        "Longitude": -84.5539,
        "LocationId": 300001576968246,
        "PostalCode": "48933",
        "TownOrCity": "Lansing",
        "AddressLine1": "200 N Grand Ave",
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "Main Office"
      }
    ],
    "LegalEmployer": "Accident Fund Insurance Company of America",
    "MediaThumbURL": null,
    "WorkplaceType": "Hybrid",
    "BusinessUnitId": 300000003897038,
    "OrganizationId": 300000003766059,
    "PostingEndDate": null,
    "LegalEmployerId": 300000003766059,
    "PrimaryLocation": "United States",
    "WorkDurationYears": null,
    "WorkplaceTypeCode": "ORA_HYBRID",
    "BeFirstToApplyFlag": false,
    "WorkDurationMonths": null,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ShortDescriptionStr": "The Principal Data Scientist is a senior individual contributor who serves as a technical authority in applying advanced analytics and machine learning to complex P&C insurance problems, including underwriting, pricing, and risk selection. This role owns the end‑to‑end analytical lifecycle, from problem formulation and model development through deployment, monitoring, and governance. Partners closely with Actuarial, MLOps, and IT to deliver scalable, production‑ready solutions. The Principal Data Scientist ensures long‑term model performance through rigorous validation, drift monitoring, and audit‑ready documentation, while advancing analytical best practices and evaluating emerging techniques relevant to commercial P&C insurance.",
    "requisitionFlexFields": [],
    "DomesticTravelRequired": null,
    "PrimaryLocationCountry": "US",
    "ExternalQualificationsStr": null,
    "ExternalResponsibilitiesStr": null,
    "InternationalTravelRequired": null
  },
  "detail_meta": {
    "url": "https://ejko.fa.us2.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2214155%22,siteNumber=CX_5",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 13290
  },
  "detail_errors": []
}