It's fun to work in a company where people truly BELIEVE in what they are doing!

Responsibilities:

Build solutions that require analyzing client business problems and developing models to help solve them. Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutionsGather data and requirements; scope solution and architecture, conduct research and prototype innovations;Developing, training, tuning, and optimizing ML/AI models and algorithmsPerform statistical analysis of results and refine modelsDevelop data-driven analysis using statistical & analytics methodologies to solve business problems.Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomesCollaborate and coordinate with different functional teams to implement models and monitor outcomes. 

Required qualification:

2-3+ years of relevant experience in data scienceProficiency in Python and SQLHands-on experience of working on an end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring, and maintenance.Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithmsExperience in various machine learning algorithms for classification, regression, clustering, and others.Experience with cloud technologies (GCP/Azure)Analytical thinking, problem-solving, and communication skillsUpper-intermediate English (both verbal and written)Knowledge of at least one of the domains (CPG, Telecom, E-commerce, etc.) would be a plus.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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