Data Scientist

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  "last_changed_at": "2026-06-17T07:55:14.907Z",
  "active_status": "active"
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{
  "language": "en",
  "location": {
    "raw": "Tulsa",
    "city": "Tulsa",
    "region": null,
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
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  "inferred_at": "2026-06-18T07:55:28.999Z",
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    "included": true,
    "language": "en",
    "location": {
      "raw": "Tulsa",
      "city": "Tulsa",
      "region": null,
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
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    "countries": [
      "United States"
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  "remote_policy": "hybrid",
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  "workplace_type": "hybrid",
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{}

{
  "lists": [
    {
      "text": "Essential Duties and Responsibilities",
      "content": "\n<li>Build and maintain statistical models, machine learning algorithms, and predictive analytics using gaming and behavioral data (segmentation, churn prediction and lifetime value models)</li>\n<li>Create anomaly detection systems for fraud and compliance monitoring</li>\n<li>Collaborate with data engineers to collect and preprocess data, and build and maintain data pipelines</li>\n<li>Design A/B testing frameworks and experiment analyses to test hypotheses and measure the effectiveness of solutions</li>\n<li>Document models and use data visualization tools to communicate insights and findings to stakeholders</li>\n"
    },
    {
      "text": "Requirements",
      "content": "\n<li>BS/MS in a quantitative field or equivalent experience; years of experience commensurate with level</li>\n<li>Strong Python programming skills and proficiency in SQL for data extraction and analysis</li>\n<li>Strong foundation in statistics and experimentation: hypothesis testing, probability distributions, regression analysis, metric design, etc.</li>\n<li>Experience with machine learning frameworks (scikit-learn, pandas) and deep learning libraries (PyTorch or TensorFlow), along with fundamental ML concepts (model evaluation, cross-validation, feature engineering)</li>\n<li>Strong communication and story-telling skills, and ability to work collaboratively with cross-functional teams</li>\n<li>Intellectual curiosity and comfort with ambiguity; we're building new things, not following playbooks</li>\n\n<div><span style=\"color: #f5f5f5;\">Certified Banana Picker</span></div>"
    },
    {
      "text": "Preferred Experience",
      "content": "\n<li>Experience with cloud platforms, especially AWS (S3, SageMaker, Lambda, etc)</li>\n<li>Exposure to time-series analysis, survival models, or probabilistic modeling</li>\n<li>Familiarity with model lifecycle management, CI/CD, containers, model monitoring, and feature stores</li>\n<li>Exposure to causal inference concepts (A/B testing, uplift modeling, experimental vs. observational data)</li>\n<li>Experience with data visualization (matplotlib, seaborn, plotly, etc.)</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1765397121168,
  "updatedAt": null,
  "categories": {
    "team": "Technology",
    "location": "Tulsa",
    "commitment": "Client Solutions",
    "department": "Product & Technology",
    "allLocations": [
      "Tulsa"
    ]
  },
  "salaryRange": null,
  "workplaceType": "hybrid"
}