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Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteSeniorTeam 10,001+Since 1954H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

84 days ago

Salary

$98.0K - $126.5K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishDockerPySparkPythonSQL

Job Description

Senior Data Scientist

General Dynamics Information Technology

• Perform scientific work associated with analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. • Use large data sets to find opportunities for product and process optimization. • Use models to test the effectiveness of different courses of action. • Use predictive modeling to increase and optimize customer experience, efficiencies, process improvements, and other business outcomes. • Mine and analyze data using a variety of data tools. • Build and implement models using/creating algorithms and creating/running simulations. • Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Drive business results with data-based insights. • Ability to work independently and troubleshoot challenges. • Communicate analytic findings and recommendations to non-technical stakeholders, verbally and through written reports. • Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract. • Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence.

Job Requirements

  • 5+ years of related experience
  • Bachelor’s Degree in data science, or related field
  • Proven experience developing machine learning models and engineering features using Python, PySpark, SQL, R, Databricks
  • Machine learning with regularization models (especially LASSO)
  • Experience with Model Tuning and Governance
  • Able to create complex queries in SQL for testing and data analysis
  • Experience developing ML pipelines and with ML Operations
  • Experience with the following tools: MLFlow, GitHub, Docker
  • Must be able to work with engineering teams to source the right data, evaluate system performance
  • Problem-solving attitude
  • Logistic regression
  • Well-versed in statistical theory
  • Generalized estimating equations

Benefits

  • Full-flex work week.
  • 401K with company match.
  • Customizable health benefits packages.
  • Collaborative teams of highly motivated critical thinkers and innovators.
  • Internal mobility team dedicated to helping you own your career.
  • Rewards program for high-performing employees.

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