Time Series Forecasting Engineer

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. We're not just building a product; we're building the future of autonomous inventory management.

Job Description

At Optiply, we run
millions of demand forecasts every day
to optimize the global e-commerce supply chain. As our Time Series Forecasting Engineer, you won't just be building models; you'll be engineering the core intelligence of a system that operates at a massive scale. You will be responsible for the performance, accuracy, and scalability of the algorithms that form the backbone of our product. This is a unique opportunity to make a significant impact in a high-volume, production environment, working across both
Python and R
to solve complex forecasting challenges.

This is what you'll be doing

• Architect, enhance, and maintain our forecasting systems, working across both our Python and R codebases to deliver robust, scalable solutions.
• Take ownership of improving the accuracy and performance of models that are already running on millions of time series daily.
• Research, prototype, and implement next-generation forecasting algorithms (from statistical methods to ML/deep learning) capable of performing on large-scale datasets.
• Enhance and refactor our existing forecasting models in R while leading the development of new
• Develop and own the MLOps pipelines for our forecasting models, including automated training, deployment, A/B testing, and monitoring for performance at scale.
• Collaborate with Backend Engineers and Data Scientists to ensure our forecasting engine is seamlessly and efficiently integrated into our product.

This is who we're looking for

• You have 3–6 years of professional experience building and deploying machine learning models in a high-volume production environment, with a strong focus on time series forecasting.
• Proven expertise in both Python and/or R
  for production-level data science. You are an expert in at least one, with professional, hands-on experience in the other.
• Python:
  pandas, scikit-learn, LightGBM/XGBoost, etc.
• R:
  dplyr, , forecast/fable, tidymodels, etc.
• Demonstrated experience working with
  large-scale data
  and building high-performance, production-grade ML systems.
• Deep theoretical and practical understanding of time series analysis, from classical statistical models (ARIMA, ETS) to modern machine learning techniques.
• Hands-on experience with software engineering best practices and tools, including Git, Docker, and CI/CD pipelines.
• Strong experience with SQL for complex data extraction and analysis.
• You are a pragmatic problem-solver, driven by the challenge of optimizing a complex system and delivering measurable business impact.

Nice to Have

• Experience with probabilistic forecasting and inventory optimization techniques.
• Exposure to cloud platforms (GCP, AWS, or Azure) and MLOps tools (e.g., MLflow, Kubeflow).
• Experience with large-scale data processing tools (e.g., Spark, Dask).
• Prior experience in a SaaS, e-commerce, or supply chain tech company.

This is what we offer

• 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.

This Job Description made your day?

• Then send us your CV in English and get prepared to meet our team We are excited to see how you can help us scale the future of inventory optimization.