Northramp
Northramp
51 – 200 कर्मचारी
B2Bपरामर्शसरकार
Northramp एक आईटी सेवाओं और डिजिटल परिवर्तन क्षेत्र की कंपनी है, जिसकी स्थापना 2012 में हुई थी। यह कंपनी अमेरिकी सरकारी संगठनों और वाणिज्यिक व्यवसायों को परामर्श और प्रबंधित सेवाओं के माध्यम से तकनीक के आधुनिकीकरण, संचालन और अधिग्रहण में सहायता करती है। इसके कार्यक्षेत्रों में क्लाउड आर्किटेक्चर, कृत्रिम बुद्धिमत्ता, रोबोटिक प्रक्रिया स्वचालन, आईटी सेवा प्रबंधन, एजाइल प्रबंधन, आईटी परामर्श और आईटी अधिग्रहण सेवाएँ शामिल हैं।

Data Scientist, AI and BI (Looker) - Northramp

Build AI, machine learning, and Looker BI solutions for Northramp’s federal cloud modernization programs. Support FedRAMP High operations and mission-critical decisions for government agencies.

विवरण

  • Create and maintain LookML models, Looks, and dashboards for client stakeholders and program leadership
  • Develop and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing
  • Perform exploratory analysis, statistical modeling, and hypothesis testing
  • Build feature engineering pipelines, model-training workflows, and model-serving infrastructure connected to cloud data platforms and BigQuery
  • Work with Data Engineers to establish data requirements and verify pipeline results
  • Partner with program leaders and government stakeholders to turn mission needs into analytical questions and measurable KPIs
  • Apply responsible AI practices through explainability, bias evaluation, and thorough documentation
  • Develop and operate automated reporting and alerting workflows for operational metrics and anomalies
  • Record methodologies, assumptions, validation findings, and performance measures to support ATO and audit requirements
  • Mentor junior analysts and promote data-informed practices across the delivery team

आवश्यकताएँ

  • Three to six years of progressive, hands-on data science or applied analytics experience, including deploying models in production
  • Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, or a related quantitative discipline
  • Proficiency in Python data science tools, including pandas, NumPy, scikit-learn, and statsmodels
  • Advanced SQL skills for complex transformations, analytical queries, optimization, and large-scale analysis
  • Advanced Looker and LookML experience covering semantic models, complex Explores, Views, dimensions, measures, joins, relationships, derived tables, PDTs, reusable patterns, testing, documentation, and version control
  • Knowledge of dashboard and data visualization principles, including visual storytelling, information hierarchy, KPI design, accessibility, usability, and appropriate chart selection
  • Strong analytical, troubleshooting, and problem-solving abilities across BI, SQL, LookML, BigQuery, and machine learning workflows
  • Experience building, training, validating, tuning, and deploying models with Vertex AI, SageMaker, or Azure ML
  • Solid understanding of regression, classification, time series analysis, and A/B testing
  • Working knowledge of BigQuery or a comparable cloud data warehouse
  • Experience using BI platforms beyond Looker, such as Tableau, Power BI, or Google Looker Studio
  • Familiarity with MLOps practices, including model versioning, experiment tracking, and deployment pipelines
  • Understanding of federal AI governance, including OMB M-24-10 or comparable guidance, and FedRAMP data-handling requirements
  • U.S. citizenship
  • Ability to obtain and maintain DHS suitability or Public Trust clearance
  • Google Cloud Professional Machine Learning Engineer certification or an equivalent AWS or Azure ML credential is preferred
  • Security+ or an equivalent certification is preferred
  • Experience with NLP, computer vision, or generative AI application development is preferred
  • Experience supporting federal data science or analytics programs is preferred
  • Active Public Trust or higher clearance is preferred

लाभ

  • Medical, dental, and vision health coverage
  • 401(k) or IRA retirement plan
  • Basic, voluntary, and AD&D life insurance
  • Paid vacation, sick leave, and public holidays
  • Maternity and paternity family leave
  • Short- and long-term disability coverage
  • Training and professional development
  • Work-from-home support
  • Wellness resources
  • Employee bonus programs

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