We are looking for a seasoned Data Scientist with experience in analyzing digital product adoption and effectiveness in the consumer sector.
Graduate degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Electrical Engineering, or an equivalent technical field.
7+ years of relevant software experience with software development, data science/analytics or data modelling.
3+ years of relevant experience in product based analytics.
Professional experience with at least one high-level programming language: Python, R, C#, Java, C/C++.
Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting.
Experience with ML/AI toolsets such as as Pandas, TensorFlow, PyTorch, Scikit-learn.
Excellent oral and written communication skills and presentation skills.
Deep understanding of predictive analytics process from data validation to model assessment, stability, and deployment monitoring.
Experience with Experiment Design and analysis is a plus.
A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills, and relentless drive for progress.
Ability to communicate complex ideas effectively (verbal and written).
Ability to work both independently and in a collaborative team environment.
Comfort handling ambiguity and managing multiple assignments.
Experience working in agile environment with hands on usage of JIRA.
While not a hard requirement, experience with crypto based products and services is a plus.
Experience working for a rapidly growing startup, and managing change
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