We are Cognitum Services, a fast-growing software development house with offices in Poland and Australia. We develop and maintain software, as well as automate business processes for our clients internationally. We specialize in Data Science, BI Consulting, Intelligent Automation, Demand Forecasting, Consumer Analytics, User Experience, DevOps, E-commerce. Our clients are Fortune® 100 companies and great fast-growing start-ups. We are looking for a highly skilled and motivated Mid Data Scientis
We are Cognitum Services, a fast-growing software development house with offices in Poland and Australia. We develop and maintain software, as well as automate business processes for our clients internationally. We specialize in Data Science, BI Consulting, Intelligent Automation, Demand Forecasting, Consumer Analytics, User Experience, DevOps, E-commerce. Our clients are Fortune® 100 companies and great fast-growing start-ups. We are looking for a highly skilled and motivated Mid Data Scientist.5+ years of experience in data science Strong background in statistics, mathematics, and computer science, with a passion for extracting insights from data We are Cognitum Services, a fast-growing software development house with offices in Poland and Australia. We develop and maintain software, as well as automate business processes for our clients internationally. We specialize in Data Science, BI Consulting, Intelligent Automation, Demand Forecasting, Consumer Analytics, User Experience, DevOps, E-commerce. Our clients are Fortune® 100 companies and great fast-growing start-ups. We are looking for a highly skilled and motivated Mid Data Scientist. ,[Analyze large datasets using statistical techniques to identify trends, patterns, and insights., Assessment of data completeness for generating statistical demand forecast (sell-out & sell-in) - exploratory data analysis. Also support choosing the right forecast algorithm and define the level of generating statistical forecast., Support to run simulations to assess accuracy expected at each level, to be able to arrive at the right granularity for o9, Identifying the right methodology for forecast disaggregation, as well as arriving at the right level of forecast consumption., NPI (New Product Introduction) forecasting as a specific use, Anticipate needing data science support to review LP optimizer logic on some of the other modules (supply planning, capacity planning)] Requirements: SQL, Data analysis, Forecasting, Use case, Data science, O9 Tools: GIT, Agile, Scrum. Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects.