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Instructure

Statistical Programmer

Hybrid Data
Added
1 day ago
Location
Type
Full time
Salary
Not Specified

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Related skills

r python data visualization large datasets statistical programming

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome.

And that's where you come in:

We are seeking a highly motivated and detail-oriented Statistical Programmer to join our team. The ideal candidate would have a high degree of data ownership, independent thinking and a significant impact on our work. You will be responsible for translating complex statistical specifications into production-ready code, executing established research models, and producing high-quality deliverables that support evidence-based decision-making.

What you’ll do:

  • Program and validate statistical analysis code in Python to generate research reports, data summaries, tables and data visualizations.
  • Execute on various research projects and statistical requirements under the direction of Senior Researchers, Psychometricians, and Engineers.
  • Architect and implement scalable QA frameworks and processes, ensuring code and pipeline accuracy.
  • Proactively monitor code, identify bugs and code errors, quickly assess information, problem-solve and implement the best solutions using data to overcome obstacles.
  • Conduct various analyses including descriptive analyses, correlations, and ANCOVAs using Python or similar tools
  • Highlight efficiencies and areas for improvement regarding data processes and practices for execution and delivery
  • Easily gain trust and support from peers and encourage collaboration, providing candid and thoughtful feedback that inspires the team to do their best work
  • Adaptable, able to navigate a fluid, fast-growing environment where goals, roles, and responsibilities are constantly evolving

    • What you will need to know/have:

  • Experience with Python or R statistical programming language
  • Strong knowledge of statistical methods or techniques
  • Ability to work with large, complex datasets
  • Excellent written and verbal communication skills appropriate for the audience and to communicate the intended message
  • Excellent problem solving and analytical skills
  • Consistent track record of delivering high-quality results
  • 2-3 years of experience in statistical programming or quantitative analysis

    • It would be a bonus if you also had:

  • Advanced degree in Data Science, Statistics, Computer Science, or a related field
  • Knowledge of data privacy and security practices

    • Get in on all the awesome at Instructure!

  • We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible schedules and a remote-friendly culture, with hybrid or onsite work options available in some regions for specific roles
  • Generous time off, including local holidays and our annual company-wide “Dim the Lights” week in late December, when we encourage everyone to step back and recharge
  • Comprehensive wellness programs and mental health support
  • Annual learning and development stipends to support your growth
  • The technology and tools you need to do your best work — typically a Mac, with PC options available in some locations
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

    • Additional Information

    We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

    Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

    All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

    Any attempt to misrepresent personal or professional information will result in disqualification.

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