Forecasting Analyst (R Specialist)

Job Description

Responsibilities

• Own the end-to-end lifecycle of our forecasting models—from design and development to validation and maintenance—using your deep expertise in R.
• Proactively optimize and refactor existing R code for enhanced performance, scalability, and accuracy.
• Collaborate with backend developers to integrate your R models into our production systems, helping to package them into APIs or microservices.
• Work with our Customer Success and Product teams to translate business requirements and customer needs into robust technical forecasting solutions.
• Support data processing and ETL pipelines to ensure high-quality data inputs for your models.
• Uphold high standards of code quality, rigorous testing, and clear documentation for all your work.
• Stay current with the latest research and techniques in time series forecasting and statistical modeling.

This Is Who We’re Looking For

• You have 3–6 years of professional experience in a role focused on statistical modeling, quantitative analysis, or time series forecasting.
• Expert-level proficiency in R for statistical analysis, data manipulation (e.g., dplyr, data.table), and forecasting (e.g., forecast, fable, tidymodels).
• Demonstrated, hands-on experience building and deploying forecasting models and a strong theoretical understanding of time series analysis or inventory optimization principles.
• Good working knowledge of Python, primarily for scripting, data handling, or collaborating with engineering teams.
• Comfortable working with data from various sources (SQL, APIs, flat files).
• Familiarity with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a strong plus.
• Experience working in a production environment and collaborating across teams.
• You are self-driven, proactive, and comfortable working in a fast-paced, international environment.

Nice to Have

• Exposure to cloud platforms (AWS, GCP, or Azure).
• Prior experience in a SaaS, e-commerce, or supply chain tech company.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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