Senior Data Scientist

We are looking for a Senior Data Scientist to help us improve our Data Science products and create new applications. AI/ML Engineer responsibilities include designing and developing machine learning and deep learning systems. Running machine learning tests and experiments and implementing appropriate ML algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods, and programming. You will be responsible for developing efficient self-learning ML applications.Responsibilities:Study and transform data science prototypesUnderstanding business objectives and developing models that help to achieve them, along with metrics to track their progressDesign ML applicationsSelect appropriate annotated datasets for Supervised Learning methodsAnalyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probabilityExploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededFinding available datasets online that could be used for trainingDefining validation strategiesDefining the preprocessing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyperparametersRun evaluation experimentsPerform statistical analysis of results and refine modelsAnalyzing the errors of the model and designing strategies to overcome themDeploying models to productionRemain updated in the rapidly changing field of machine learning.

Proven experience as an AI/ML Engineer or similar role. B.S. Or M.S. in Computer Science or equivalent experience. An analytical mind with problem-solving abilities. Ability to work in a team. Excellent communication skills. Experience communicating research findings and analysis in both written and spoken.