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Data Scientist

1 month ago

Jakarta, Indonesia PGI Data Full time

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.