WHAT YOU\xe2\x80\x99LL CHAMPION:Improve models and algorithms to further optimize business outcomes.Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.The Data Scientist role has work across the following four areas:Exploratory analysis: use data to suggest and prove hypotheses, run what-if analysis and provide insights for stakeholders.Modeling: built optimization / predictive / statistical models to learn from data and estimate the unknowns.Data operations: query data, deploy models and automate pipelines in cloud.WHO YOU ARE:BS/MS/PhD in Science (Statistics, Management, Cognitive / Psychology, AI, Analytics, Marketing, Design, HCI).Possess relevant experience beyond first degree.Experience with common data science toolkits, programming languages, visualisation tools and SQL/NoSQL databases.Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc.Experience with distributed computing platforms and open-source tools and libraries.Experience developing and deploying to the cloud.Familiar or prone to adopt design thinking methods.Able to work under pressure and change, and balance among speed, reliability, interpretability.Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.Experience with code versioning, code review and documentation.Experience in one or more of the following specialized areas:Machine LearningUnderstanding of machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision trees.Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Experience with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language.Algorithm EngineeringStrong ability to implement, improve, and deploy ML and Math models in Golang or Python.Conduct systems tests for security, performance, and availability.Develop and maintain the design and troubleshooting/error documentation.Create cost effective scalable systems and develop innovative algorithm solutions.Operations ResearchFamiliar with modelling problems as mathematical programming, constraint satisfaction, particle swarm optimization and other appropriate OR methodologies.Familiar with tools such as Cplex, Gurobi, Google OR-Tools.Decision intelligenceDrive decision science aspects as a standard user experience -staff or customer- process (cognitive biases, cross-cultural reasoning, statistical interpretation, human factor impact, algorithmic bias etc.).Actively showcase the added value of design thinking, data-driven decisions, agile and user-centric methods.Support research (user and markets) and data processes for enhanced decision quality.WHAT YOU\xe2\x80\x99LL ENJOY:
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