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Data Scientist / Statistician

fully flexible
Remote: 
Full Remote
Contract: 
Part time
Work from: 
Switzerland

Offer summary

Qualifications:

Degree in Computer Science, Mathematics, or Statistics, Proven experience in Data Science and Statistics, Experience with R and Python, Familiarity with data validation techniques.

Key responsabilities:

  • Evaluate and enhance existing R-based statistical model
  • Assess current R code and identify improvement areas

ETH juniors logo
ETH juniors SME https://www.ethjuniors.ch
51 - 200 Employees
About ETH juniors
Since 1997 ETH juniors has been building a major bridge between university and industry.ETH juniors unites outsourcing, project management, as well as a platform for recruiting and event marketing. We build a bridge between theory and practice, between university and industry. ETH juniors is the junior enterprise of ETH Zurich and is ranked among the top three of 200 junior enterprises in Europe. Led by motivated students, ETH juniors conducts projects for companies, analyses various sets of problems and develops creative solutions. ETH juniors carries out tasks for national SMEs as well as international enterprises, which require additional employees within a short period of time or are in need of some particular knowledge. Thus, new ideas are generated and integrated from a new, unbiased point of view.As a link between university and industry, ETH juniors brings interested students closer to your company while at the same time promoting your enterprise at ETH – a win-win-situation.
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Job description

This is a remote position.

We are looking for an experienced professional to evaluate and enhance an existing R-based statistical model. The primary focus is on forecasting, model analysis, and code optimization.

  • Model Review: Assess the current R code and identify improvement areas
  • ML Integration: Evaluate opportunities to leverage ML for better predictions
  • Data Preparation: Ensure data quality and optimize data collection processes
  • Recommendations: Propose improvements and suitable technologies
    •
    Requirements
  • Degree in a relevant field (e.g., Computer Science, Mathematics, Statistics)
  • Proven experience in Data Science, Statistics, and Machine Learning (R, Python)
  • Familiarity with data validation and forecasting techniques

    •
    Benefits
  • Highly flexible working arrangements
  • Competitive compensation and professional development opportunities
    •

    Salary:

    42 CHF

    Required profile

    Experience

    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    StatisticsR (Programming Language)Machine LearningData ScienceForecasting ManagementPython (Programming Language)Data Validation
    Are you interested?

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