Senior Associate, Data Scientist

WHY JOIN US

• We practice a vibrant & energetic office culture.

• We provide opportunities for career advancement within the company.

• Good performance is always rewarded accordingly.

JOB RESPONSIBILITIES:

• We are looking for a Data Scientist who will support our products, ecommerce, customer, advertising, media contents, and other divisions in Astro and assist leadership with the insights gained from analyzing company wide and related data.
• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
• They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
• They must have a proven ability to drive business results with their data-based insights.
• They must be comfortable working with a wide range of stakeholders and functional teams.
• The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

REQUIREMENTS:

• We're looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Experience using web services: Redshift, S3, Spark, , etc.
• Experiences over Big Data platform like AWS, Azure, qubole
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers: Google Analytics etc
• Experience visualizing/presenting data for stakeholders using: Tableau, D3, ggplot, etc.
• Strong problem solving skills.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.