Project-based role focused on identifying and implement solutions to improve key performance metrics
Do forecasting, planning & analysis on firm's key performance and financial metrics
Develop predictive model (risk credit scoring, crm propensity to buy, etc), clustering, NLP, etc.
Develop, deploy and maintain credit model, fraud models and/or other machine learning models to support automatic decision making
Acquire data from primary or secondary data sources and manage databases/data systems
Perform tasks such as data exploration, cleaning, and feature engineering
Design, plan, develop and deploy machine learning models and advanced analytics solutions to solve a wide array of business problems.
Contribute to the deployment of ensemble machine learning methods, deep learning, and advanced optimization techniques to drill into our toughest challenges
Developing scalable data products (predictive model, prescriptive dashboard, etc.)
that drives businesses/products growth
Work with Data Scientists, Product Engineers and Product Managers to build, deploy, and scale Data Science solutions for routing optimization and supply forecasting to improve our delivery efficiency
Leverage NLP and data science to enable personalized experience.
Selecting features, building and optimizing classifiers using machine learning techniques
Merging different data sources and reformatting or processing the data using ETL tools
Processing, cleansing, and verifying the integrity of data used for analysis
Keep up-to-date with the latest technology trends
Communicate results and ideas to key decision-makers
**Education background**: Master's degree in Mathematics, Statistics, Computer science, Engineering or quantitative field
**Work Experience**: 4+ years of quantitative and qualitative research and analytics experience, proficiency in programming and statistical modeling with strong communication and story-telling skills
Excellent understanding of machine learning techniques and algorithms and experience with common data science toolkits
Advanced analytics - Market mix modeling, Price elasticity, forecasting (360 Marketing), Customer segmentation, risk credit scoring
**Knowledge expertise**: Proficiency in Python, Keras, Tensorflow, Analytical and machine learning, strong programing skills (Python is a must).
Practical Analytic skills and strong busines sense
Proficiency in Machine learning and/or deep learning
Experience using data visualization tools like Power Bi
Experience with data querying languages like SQL, Big query
Excellent understanding of statistics, multivariable calculus, and linear algebra.