Optiply

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!

As a Tech Support Specialist at our fast-growing tech company, you will be the primary contact for technical issues, ensuring timely and efficient resolutions while contributing to the overall customer experience. Your role will involve working closely with the team to provide top-notch support, troubleshoot problems, and continuously improve our processes. Adaptability, leadership, and technical expertise will be key to your success. - Manage support KPIs such as response time, resolution time, and customer satisfaction. - Respond to technical and product-related inquiries via email, live chat, and phone (Aircall/Intercom). - Collaborate with engineering teams to resolve complex technical issues. - Identify recurring issues and suggest improvements. - Maintain and update our knowledge base with FAQs and troubleshooting guides. - 2-5 years of experience in tech support or a customer-facing role. - Tech-savvy with a basic understanding of API's, JavaScript, Python and/or SQL. - Strong problem-solving skills and a proactive mindset. - Excellent verbal and written communication in English. - Ability to thrive in a fast-paced, evolving environment.,

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 Predictive Intelligence 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, state-of-the-art services in Python. 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 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, data.table, 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.

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, data.table, 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.

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 Predictive Intelligence 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, state-of-the-art services in Python. 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 36 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 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, data.table, 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.

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 webshops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management. Job Description We are looking for an Integrations Developer to join our Integration Team and help take our SaaS platform to the next level. You will create new integrations and features using a data Integration platform. This is both a technical challenge but you also need to be able to understand and improve functional requirements. This is what you'll be doing Develop Integrations between applications Use on a daily basics REST API, Web Services, JSON, OAuth and other tools that are used to extract, transform, and manage data Troubleshoot application issues, existing integrations, data flows, and data transformations all while balancing with new projects. Design and implement scalable solutions for integration and data management Give strong opinion and continuous evaluation of new technologies Maintain high standards of software quality within the team by conducting code reviews, testing, and monitoring performance This is who we’re looking for Bachelor’s Degree in Computer Science preferred, or equivalent experience 2 years experience in a similar role Experience developing integrations between applications Experience with Python Experience with Postman Willing to work with an international team A team worker A very proactive communicator in English used to deliver working solutions Be able to write and speak in English (mandatory) You are based/willing to move to Hyderabad Nice to have: Experience with Meltano SDK, SInger SDK and/or Singer.io 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? ... and you still have questions? Chat with our AI Recruitment Specialist right here on LinkedIn to get instant answers!

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 webshops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management. Job Description We are looking for an Integrations Developer to join our Integration Team and help take our SaaS platform to the next level. You will create new integrations and features using a data Integration platform. This is both a technical challenge but you also need to be able to understand and improve functional requirements. This Is What You'll Be Doing Develop Integrations between applications Use on a daily basics REST API, Web Services, JSON, OAuth and other tools that are used to extract, transform, and manage data Troubleshoot application issues, existing integrations, data flows, and data transformations all while balancing with new projects. Design and implement scalable solutions for integration and data management Give strong opinion and continuous evaluation of new technologies Maintain high standards of software quality within the team by conducting code reviews, testing, and monitoring performance This Is Who We’re Looking For Bachelor’s Degree in Computer Science preferred, or equivalent experience 2 years experience in a similar role Experience developing integrations between applications Experience with Python Experience with Postman Willing to work with an international team A team worker A very proactive communicator in English used to deliver working solutions Be able to write and speak in English (mandatory) You are based/willing to move to Hyderabad Nice to have: Experience with Meltano SDK, SInger SDK and/or Singer.io 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? and you still have questions? Chat with our AI Recruitment Specialist right here on LinkedIn to get instant answers!

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 36 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, data.table, 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.

Role Overview: As a Time Series Forecasting Engineer at Optiply, you will play a crucial role in optimizing the global e-commerce supply chain by running millions of demand forecasts daily to ensure smarter buying decisions. Your main responsibility will be to engineer the core intelligence of the system at a massive scale, focusing on enhancing performance, accuracy, and scalability of algorithms. This position offers a unique opportunity to make a significant impact in a high-volume production environment by working with Python and R to tackle complex forecasting challenges. Key Responsibilities: - Architect, enhance, and maintain forecasting systems in both Python and R codebases to deliver robust, scalable solutions. - Improve the accuracy and performance of existing models running on millions of time series daily. - Research, prototype, and implement next-generation forecasting algorithms, including statistical methods and ML/deep learning, for large-scale datasets. - Develop and manage MLOps pipelines for forecasting models, encompassing automated training, deployment, A/B testing, and performance monitoring at scale. - Collaborate with Backend Engineers and Data Scientists to ensure seamless integration of the forecasting engine into the product. Qualifications Required: - Minimum of 3-6 years of experience building and deploying machine learning models in a high-volume production environment, specializing in time series forecasting. - Proficiency in Python and/or R for production-level data science, with expertise in at least one and hands-on experience in the other. - Python: pandas, scikit-learn, LightGBM/XGBoost, etc. - R: dplyr, data.table, forecast/fable, tidymodels, etc. - Demonstrated experience with large-scale data, building production-grade ML systems, and strong theoretical and practical understanding of time series analysis. - Familiarity with software engineering best practices and tools such as Git, Docker, and CI/CD pipelines. - Strong SQL skills for complex data extraction and analysis. - Problem-solving mindset focused on optimizing complex systems for measurable business impact. Additional Details: Optiply is a pioneering company at the intersection of Software as a Service, Artificial Intelligence, and E-commerce. With intelligent purchasing software, the company empowers over 300 web shops and wholesalers to optimize inventory management through predictive analytics. The team at Optiply is not just building a product but shaping the future of autonomous inventory management. If this job description resonates with you and you are ready to contribute to scaling the future of inventory optimization, send your CV in English to meet the team at Optiply.,

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 webshops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management. Job Description We are looking for an Integrations Developer to join our Integration Team and help take our SaaS platform to the next level. You will create new integrations and features using a data Integration platform. This is both a technical challenge but you also need to be able to understand and improve functional requirements. This is what you'll be doing Develop Integrations between applications Use on a daily basics REST API, Web Services, JSON, OAuth and other tools that are used to extract, transform, and manage data Troubleshoot application issues, existing integrations, data flows, and data transformations all while balancing with new projects. Design and implement scalable solutions for integration and data management Give strong opinion and continuous evaluation of new technologies Maintain high standards of software quality within the team by conducting code reviews, testing, and monitoring performance This is who we’re looking for Bachelor’s Degree in Computer Science preferred, or equivalent experience 2 years experience in a similar role Experience developing integrations between applications Experience with Python Experience with Postman Willing to work with an international team A team worker A very proactive communicator in English used to deliver working solutions Be able to write and speak in English (mandatory) You are based/willing to move to Hyderabad Nice to have: Experience with Meltano SDK, SInger SDK and/or Singer.io 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? ... and you still have questions? Chat with our AI Recruitment Specialist right here on LinkedIn to get instant answers!