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Job Description
- Analyze client business requirements and map into data science problem.,
- Manage data collection procedures to include information that is relevant for building analytic models.
- Processing, cleansing, and verifying the integrity of data used for analysis
- Run the exploratory ad-hoc analysis to understand data quality levels.
- Selecting features, building, and optimizing models using machine learning techniques.
- Augment data with third-party sources of information when needed
- Design, develop, test and benchmark predictive analytics models using state-of-the-art AL/ML
- Creating automated anomaly detection systems and constant tracking of its performance
- Presenting the information in concise and simple business terminologies.
Job Requirements
- Bachelor's / Master’s Degree in Computer Science or related disciplines
- 5+ years of practical experience in delivering Machine Learning & AI solutions in real-life settings across various industries
- Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
- Excellent theoretical understanding of machine learning techniques and algorithms, such as Logistic Regression, Naive Bayes, SVM, Decision Forests, ANN, K-Means, Apriori, and Graph-based theory etc.
- Experience with common data science toolkits, such as R, Python. Excellence in at least one of these is highly desirable
- Experience with data visualization tools, such as D3.js, GGplot, Shiny, Tableau, PowerBI, etc.
- Proficiency in using query languages such as SQL.
- Able to work with teams of varying sizes and technical abilities.
- Experience in analytical and critical thinking, communication.