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 an R Engineer at Optiply, you’ll be part of a dynamic and collaborative team focused on developing, maintaining, and improving our statistical and machine learning models. You’ll work closely with data scientists, backend developers, and product teams to ensure our algorithms are robust, scalable, and integrated seamlessly into our systems. This Is What You'll Be Doing Design, develop, and maintain statistical models and forecasting tools primarily using R. Collaborate with the development team to integrate R-based solutions into broader systems and workflows. Build APIs or microservices to expose R models to production systems when needed. Optimize and refactor existing R code for performance and scalability. Support data processing and ETL pipelines in collaboration with software engineers. Work with our Customer Success Team to understand product requirements and translate them into technical solutions. Ensure high standards of code quality, testing, and documentation. This Is Who We’re Looking For You have 3–6 years of professional experience in a data or engineering-focused role. Experience with forecasting models, time series analysis, or inventory optimization. Strong proficiency in R programming for statistical analysis, forecasting, or data modeling. Solid hands-on experience with Python, especially for scripting, data handling, or API development. Comfortable working with data from various sources (SQL, APIs, flat files). Familiar with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a plus. Experience working in a production environment and collaborating across teams. 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. This It What We Offer Competitive Compensation Package: Reflects skills and contributions Holistic Work-Life Harmony: Values personal time and promotes a healthy work-life balance Comprehensive Health Coverage: Robust insurance plans Investment in Professional Growth: Paid training programs. Adaptable Work Hours: Flexibility in schedule Hybrid Work Model: combining remote and in-office work. Strategic Career Development: Personalized growth plans and advancement opportunities. Tailored Workspace Setup: High-quality PC, monitor, keyboard, etc. Social Fridays: Casual drinks fostering team camaraderie. This Job Description made your day? Then send us your CV in English and get prepared to meet our team! Show more Show less
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 an R Engineer at Optiply, you’ll be part of a dynamic and collaborative team focused on developing, maintaining, and improving our statistical and machine learning models. You’ll work closely with data scientists, backend developers, and product teams to ensure our algorithms are robust, scalable, and integrated seamlessly into our systems. This is what you'll be doing Design, develop, and maintain statistical models and forecasting tools primarily using R . Collaborate with the development team to integrate R-based solutions into broader systems and workflows. Build APIs or microservices to expose R models to production systems when needed. Optimize and refactor existing R code for performance and scalability. Support data processing and ETL pipelines in collaboration with software engineers. Work with our Customer Success Team to understand product requirements and translate them into technical solutions. Ensure high standards of code quality, testing, and documentation. This is who we’re looking for You have 3–6 years of professional experience in a data or engineering-focused role. Experience with forecasting models , time series analysis, or inventory optimization. Strong proficiency in R programming for statistical analysis, forecasting, or data modeling. Solid hands-on experience with Python , especially for scripting, data handling, or API development. Comfortable working with data from various sources (SQL, APIs, flat files). Familiar with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a plus. Experience working in a production environment and collaborating across teams. 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. This it what we offer Competitive Compensation Package: Reflects skills and contributions Holistic Work-Life Harmony: Values personal time and promotes a healthy work-life balance Comprehensive Health Coverage: Robust insurance plans Investment in Professional Growth: Paid training programs. Adaptable Work Hours: Flexibility in schedule Hybrid Work Model: combining remote and in-office work. Strategic Career Development: Personalized growth plans and advancement opportunities. Tailored Workspace Setup: High-quality PC, monitor, keyboard, etc. Social Fridays: Casual drinks fostering team camaraderie. This Job Description made your day? Then send us your CV in English and get prepared to meet our team!
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 an Forecasting Data Scientist / R Engineer at Optiply, you’ll be part of a dynamic and collaborative team focused on developing, maintaining, and improving our statistical and machine learning models. You’ll work closely with data scientists, backend developers, and product teams to ensure our algorithms are robust, scalable, and integrated seamlessly into our systems. This Is What You'll Be Doing Design, develop, and maintain statistical models and forecasting tools primarily using R. Collaborate with the development team to integrate R-based solutions into broader systems and workflows. Build APIs or microservices to expose R models to production systems when needed. Optimize and refactor existing R code for performance and scalability. Support data processing and ETL pipelines in collaboration with software engineers. Work with our Customer Success Team to understand product requirements and translate them into technical solutions. Ensure high standards of code quality, testing, and documentation. This Is Who We’re Looking For You have 3–6 years of professional experience in a data or engineering-focused role. Experience with forecasting models, time series analysis, or inventory optimization. Strong proficiency in R programming for statistical analysis, forecasting, or data modeling. Solid hands-on experience with Python, especially for scripting, data handling, or API development. Comfortable working with data from various sources (SQL, APIs, flat files). Familiar with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a plus. Experience working in a production environment and collaborating across teams. 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. This It What We Offer Competitive Compensation Package: Reflects skills and contributions Holistic Work-Life Harmony: Values personal time and promotes a healthy work-life balance Comprehensive Health Coverage: Robust insurance plans Investment in Professional Growth: Paid training programs. Adaptable Work Hours: Flexibility in schedule Hybrid Work Model: combining remote and in-office work. Strategic Career Development: Personalized growth plans and advancement opportunities. Tailored Workspace Setup: High-quality PC, monitor, keyboard, etc. Social Fridays: Casual drinks fostering team camaraderie. This Job Description made your day? Then send us your CV in English and get prepared to meet our team!
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 an Forecasting Data Scientist / R Engineer at Optiply, you’ll be part of a dynamic and collaborative team focused on developing, maintaining, and improving our statistical and machine learning models. You’ll work closely with data scientists, backend developers, and product teams to ensure our algorithms are robust, scalable, and integrated seamlessly into our systems. This is what you'll be doing Design, develop, and maintain statistical models and forecasting tools primarily using R . Collaborate with the development team to integrate R-based solutions into broader systems and workflows. Build APIs or microservices to expose R models to production systems when needed. Optimize and refactor existing R code for performance and scalability. Support data processing and ETL pipelines in collaboration with software engineers. Work with our Customer Success Team to understand product requirements and translate them into technical solutions. Ensure high standards of code quality, testing, and documentation. This is who we’re looking for You have 3–6 years of professional experience in a data or engineering-focused role. Experience with forecasting models , time series analysis, or inventory optimization. Strong proficiency in R programming for statistical analysis, forecasting, or data modeling. Solid hands-on experience with Python , especially for scripting, data handling, or API development. Comfortable working with data from various sources (SQL, APIs, flat files). Familiar with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a plus. Experience working in a production environment and collaborating across teams. 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. This it what we offer Competitive Compensation Package: Reflects skills and contributions Holistic Work-Life Harmony: Values personal time and promotes a healthy work-life balance Comprehensive Health Coverage: Robust insurance plans Investment in Professional Growth: Paid training programs. Adaptable Work Hours: Flexibility in schedule Hybrid Work Model: combining remote and in-office work. Strategic Career Development: Personalized growth plans and advancement opportunities. Tailored Workspace Setup: High-quality PC, monitor, keyboard, etc. Social Fridays: Casual drinks fostering team camaraderie. This Job Description made your day? Then send us your CV in English and get prepared to meet our team!
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 an R Engineer at Optiply, youll be part of a dynamic and collaborative team focused on developing, maintaining, and improving our statistical and machine learning models Youll work closely with data scientists, backend developers, and product teams to ensure our algorithms are robust, scalable, and integrated seamlessly into our systems This Is What You'll Be Doing Design, develop, and maintain statistical models and forecasting tools primarily using R Collaborate with the development team to integrate R-based solutions into broader systems and workflows Build APIs or microservices to expose R models to production systems when needed Optimize and refactor existing R code for performance and scalability Support data processing and ETL pipelines in collaboration with software engineers Work with our Customer Success Team to understand product requirements and translate them into technical solutions Ensure high standards of code quality, testing, and documentation This Is Who Were Looking For You have 36 years of professional experience in a data or engineering-focused role Experience with forecasting models, time series analysis, or inventory optimization Strong proficiency in R programming for statistical analysis, forecasting, or data modeling Solid hands-on experience with Python, especially for scripting, data handling, or API development Comfortable working with data from various sources (SQL, APIs, flat Familiar with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a plus Experience working in a production environment and collaborating across teams 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 This It What We Offer Competitive Compensation Package: Reflects skills and contributions Holistic Work-Life Harmony: Values personal time and promotes a healthy work-life balance Comprehensive Health Coverage: Robust insurance plans Investment in Professional Growth: Paid training programs Adaptable Work Hours: Flexibility in schedule Hybrid Work Model: combining remote and in-office work Strategic Career Development: Personalized growth plans and advancement opportunities Tailored Workspace Setup: High-quality PC, monitor, keyboard, etc Social Fridays: Casual drinks fostering team camaraderie This Job Description made your day Then send us your CV in English and get prepared to meet our team!
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 an Forecasting Data Scientist / R Engineer at Optiply, you’ll be part of a dynamic and collaborative team focused on developing, maintaining, and improving our statistical and machine learning models. You’ll work closely with data scientists, backend developers, and product teams to ensure our algorithms are robust, scalable, and integrated seamlessly into our systems. This Is What You'll Be Doing Design, develop, and maintain statistical models and forecasting tools primarily using R. Collaborate with the development team to integrate R-based solutions into broader systems and workflows. Build APIs or microservices to expose R models to production systems when needed. Optimize and refactor existing R code for performance and scalability. Support data processing and ETL pipelines in collaboration with software engineers. Work with our Customer Success Team to understand product requirements and translate them into technical solutions. Ensure high standards of code quality, testing, and documentation. This Is Who We’re Looking For You have 3–6 years of professional experience in a data or engineering-focused role. Experience with forecasting models, time series analysis, or inventory optimization. Strong proficiency in R programming for statistical analysis, forecasting, or data modeling. Solid hands-on experience with Python, especially for scripting, data handling, or API development. Comfortable working with data from various sources (SQL, APIs, flat files). Familiar with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a plus. Experience working in a production environment and collaborating across teams. 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. This It What We Offer Competitive Compensation Package: Reflects skills and contributions Holistic Work-Life Harmony: Values personal time and promotes a healthy work-life balance Comprehensive Health Coverage: Robust insurance plans Investment in Professional Growth: Paid training programs. Adaptable Work Hours: Flexibility in schedule Hybrid Work Model: combining remote and in-office work. Strategic Career Development: Personalized growth plans and advancement opportunities. Tailored Workspace Setup: High-quality PC, monitor, keyboard, etc. Social Fridays: Casual drinks fostering team camaraderie. This Job Description made your day? Then send us your CV in English and get prepared to meet our team!
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 you'll 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. 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. This it 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!
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 You'll 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. 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. This It 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!
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 you'll 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. 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. This it 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!
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 you'll 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. 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. This it 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!
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 You'll 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. 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. This It 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!