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Data Scientist - Remote

Posted about 2 months agoViewed

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💎 Seniority level: Senior, 8+ years

📍 Location: Seattle, Washington

💸 Salary: 140000.0 - 160000.0 USD per year

🔍 Industry: Healthcare

🏢 Company: Blackbird Health👥 10-100💰 $17,000,000 Series A 11 months agoMedicalInformation TechnologyWellnessHealth Care

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: PythonSQLMachine LearningData visualizationData management

Requirements:
  • 8+ years working as a data scientist or data analyst.
  • 5+ years of work experience in data management in a big data environment.
  • 5+ years experience with machine learning methods, including regression, classification, clustering, ensemble methods, and neural networks.
  • Proficiency in SQL, Python, and Google Cloud tools like BigQuery.
  • Strong focus on usability and ability to empathize with end users.
  • Proven experience in a team-oriented, collaborative work environment.
  • Exceptional problem-solving skills and growth mindset are crucial.
  • Experience in the healthcare or digital health sector, including claims and clinical data.
  • Proficiency with business intelligence tools for data visualization and dashboard creation, including Data Studio, Tableau, and Looker.
Responsibilities:
  • Collaborate closely with a team of engineers and product managers to gain a thorough understanding of data and clinical models.
  • Extract, organize, and analyze pertinent data from multiple sources using tools like BigQuery and programming languages such as SQL.
  • Develop understanding of technology, machine learning, and big data landscape for healthcare applications.
  • Create data science products enhancing healthcare service delivery aligned with clinical models.
  • Evaluate clinical initiatives' impact using statistical methods for continuous improvement.
  • Ensure data quality through compliance checks and integrity testing.
  • Adopt agile approaches for delivering results while achieving business objectives.
  • Contribute to developing data solutions involving third-party vendors and clinical data for various stakeholders.
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