Data Scientist - Time Series Forecasting

Job Description :We expect :- MS or PhD in Computer Science / Statistics / Mathematics / Artificial Intelligence / Physics or related technical discipline- At least 5 years of experience in a statistical and/or data science role- Knowledge of machine learning, statistics, simulation, optimization or related fields- Experience in Time -Series forecasting- Fluency in applying Data Science methods (including ML) while solving business optimization problems- Fluent ability to program with Python (background in languages like R, MATLAB, Scala is a plus)- Strong software engineering skills (including unit testing, OOP)- Thorough knowledge of the NumFOCUS stack: pandas, scikit-learn, Matplotlib, SciPy- Experience with working with large data sets through Spark and RDBMs- Experience with versioning systems (e.g. Git)- Knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines- Experience in deploying to production and ability to plan a product including broader technical landscape (ability to design and deliver product following modular approach)- Experience working in a start-up environment or organizations with the agile culture- Professional attitude and service orientation- Team player- Ability to work autonomously to deliver complex projects- Fluent English as you will communicate in English almost all the time- Experience with Azure stack would be a plus- Experience with building and validating statistical models (Bayesian regression, linear/ridge/lasso, tree-based models, clustering) to address business problems- Experience with communicating technical and analytical findings to business stakeholders- Analyst mindset to brew insight from the dataYou'll stand out if you have :- Experience with FMCG/CPG/retail sector- Experience with working with large data sets through Spark and RDBMs- Knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines- Experience in deploying to production and ability to plan a product including broader technical landscape (ability to design and deliver product following modular approach)- Experience working in a start-up environment or organizations with the agile culture- Ability to work autonomously to deliver complex projects- Experience with Azure stack would be a plus- Experience in MMMs- Experience in Promotions- Experience in using mixed integer optimisation (ref:hirist.tech) Job Description :We expect :- MS or PhD in Computer Science / Statistics / Mathematics / Artificial Intelligence / Physics or related technical discipline- At least 5 years of experience in a statistical and/or data science role- Knowledge of machine learning, statistics, simulation, optimization or related fields- Experience in Time -Series forecasting- Fluency in applying Data Science methods (including ML) while solving business optimization problems- Fluent ability to program with Python (background in languages like R, MATLAB, Scala is a plus)- Strong software engineering skills (including unit testing, OOP)- Thorough knowledge of the NumFOCUS stack: pandas, scikit-learn, Matplotlib, SciPy- Experience with working with large data sets through Spark and RDBMs- Experience with versioning systems (e.g. Git)- Knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines- Experience in deploying to production and ability to plan a product including broader technical landscape (ability to design and deliver product following modular approach)- Experience working in a start-up environment or organizations with the agile culture- Professional attitude and service orientation- Team player- Ability to work autonomously to deliver complex projects- Fluent English as you will communicate in English almost all the time- Experience with Azure stack would be a plus- Experience with building and validating statistical models (Bayesian regression, linear/ridge/lasso, tree-based models, clustering) to address business problems- Experience with communicating technical and analytical findings to business stakeholders- Analyst mindset to brew insight from the dataYou'll stand out if you have :- Experience with FMCG/CPG/retail sector- Experience with working with large data sets through Spark and RDBMs- Knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines- Experience in deploying to production and ability to plan a product including broader technical landscape (ability to design and deliver product following modular approach)- Experience working in a start-up environment or organizations with the agile culture- Ability to work autonomously to deliver complex projects- Experience with Azure stack would be a plus- Experience in MMMs- Experience in Promotions- Experience in using mixed integer optimisation (ref:hirist.tech)