Forecasting Analyst R Specialist

About Us

Optiply is at the forefront of three rapidly expanding sectors: Software as a Service, Artificial Intelligence, and E-commerce. With our intelligent purchasing software, we empower over 300 web shops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management.

Job Description

As our Forecasting Analyst (R Specialist) at Optiply, you will be the go-to expert on our data team, responsible for the statistical and machine learning models that power our platform. You will be at the heart of our mission to help e-commerce businesses thrive by owning the development, maintenance, and improvement of our forecasting algorithms. You’ll work closely with data scientists, backend developers, and product teams to ensure our models are robust, accurate, and seamlessly integrated.

This Is What Youll Be Doing

• 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.
  
  

• 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.
  
  

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

• Competitive Compensation Package: Reflects your skills and contributions.
• Holistic Work-Life Harmony: We value your personal time and promote a healthy work-life balance.
• Comprehensive Health Coverage: Robust insurance plans for your peace of mind.
• Investment in Professional Growth: We invest in your development with paid training programs.
• Adaptable Work Hours: We offer flexibility in your work schedule.
• Hybrid Work Model: Enjoy a blend of remote and in-office work.
• Strategic Career Development: We provide personalized growth plans and advancement opportunities.
• Tailored Workspace Setup: Get a high-quality PC, monitor, keyboard, and other essentials.
• Social Fridays: Wind down the week with casual drinks and foster team camaraderie.