Data Scientistalgoleapfull-timeRequired skillsclusteringdata miningdata sciencedeep learningETLforecastingHadoopHiveKerasmachine learningproject managementregressionSparkSQLstatisticsTensorFlowPytorchAbout the role algoleap Website: algoleap.com Job details: Job DescriptionO9 Exposure MandatoryRetail - Demand PlanningWhat You Will DoDesign and operationalize various kinds of descriptive, predictive and prescriptive analytics and data science relevant in the planning space. Understand business; identify areas of improvement opportunities; collect and analyze data; build models in R/Python; and present results & insights using the o9 platform. Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks Develop and deploy models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. Use latest advancements in AI/ML to solve business problems Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics and the ability to generate new ones as needed Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projectsMandatoryWhat you should possess:4+ years of experience in the field of Data Science and AnalyticsStrong programming skills and experience in using Python and/or R for Data ScienceStrong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed Deep Knowledge of statistical and machine learning algorithmsExperience in time series forecasting in scale using heuristic based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuningExperience in building scalable ML frameworks for demand sensing including Identifying and collecting relevant input data, feature engineering, tuning, and testing.Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.Strong presentation and communications skillsBachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related fieldNice To HaveExperience with SQL, databases and ETL tools or similar is optional but preferred Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Bid Data technologiesExperience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable but not essentialExperience in implementing supply chain planning applications will be a plus Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.