Decision Scientist Machine Learning - Senior Analyst

Job Description:

Work with cross-functional & cross-regional teams for data analysis, monitoring and forecasting, creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience.

Responsibilities:

Work cross-functionally with teams to analyze usage and uncovering key, actionable insights about customer behavior. Identify opportunities where scientific techniques can be applied to solve business problems.

Designing and measuring controlled experiments to determine the potential impact of new approaches. Help with various data analysis and modelling projects.

Take ownership of the end-to-end system from Problem statement to Solution Delivery and leverage other teams if required

Understanding and reporting current trends and performances in detail and identifying opportunities

Run statistical analysis and create predictive models based on past user data and behavior. Build and improve machine learning models used in production and manage existing models

Qualifications:

Bachelor's degree or Master's degree in computer science, engineering, statistics, economics or equivalent.

Proven ability to use modelling, optimization, machine learning or text classification algorithms

At least 4 - 9 years of experience in Machine Learning Algorithms, Time Series Analysis , database design, ETL processes (SSIS) and SQL analysis (SSAS) , Data visualization, analytics, and integration techniques.

Fluency in a programming language in R/Python/SAS/SQL/ R Shiny and other self-service tools (KNIME/ DataIku etc).

Experience in AI/ Machine Learning, real time analytics , Big data platforms & Cloud Platforms like AWS/Google/Azure.

Should have good knowledge on Deep Learning , Forecasting models, prophet/neural network