Statistical Programmer @ Instructure Hungary Ltd

What you will need to know/have: Python / R 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 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. ,[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] Requirements: Python, R, Statistics, Statistical methods, Statistical Tools, databases, statistical programming, Quantitative research, quantitative analysis, Cloud platform, data privacy Tools: Jira, Confluence, GIT, GitHub. Additionally: International projects, Small teams, Flat structure, Free coffee, Bike parking, Playroom, Shower, Free snacks, Free beverages, Free parking, In-house trainings, In-house hack days, Modern office, Startup atmosphere, No dress code, Free breakfast, Hack-weeks, Employee assistance program.