It's fun to work in a company where people truly BELIEVE in what they are doing!
Responsibilities:
Manage the team in designing, developing, and deploying AI/ML models.Take an active role in client meetings, presentations, and workshops to demonstrate value and align expectationsBuild solutions that require analyzing client business problems and developing solutions to help solve them.Gather data and requirements; scope solution and architecture; conduct research and prototype innovations if required.Design, develop, and implement algorithms and solutions.Develop data-driven analysis using statistical and analytics methodologies to solve business problems.Execute quantitative data analyses that translate into actionable insights for the broader team. Collaborate and coordinate with different functional teams to implement models and monitor outcomes. Present findings and insights to business leaders.Provide technical guidance and mentorship to data scientists and engineers in the team
Required qualification:
4-5+ years of relevant experience in data scienceExperience working on an end-to-end data science pipeline: problem scoping, data gathering, EDA, feature engineering, modelling, insights, visualizations, monitoring, and maintenance.Ability to apply ML/AI methods to complex business problems.Proficiency in Python and SQLExperience with cloud technologies (GCP/Azure)Proficiency in various machine learning algorithms for classification, regression, clustering, and others.Practical experience with ensemble methods, deep learning, NLP, and optimization.Analytical thinking, problem-solving, and excellent 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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