Global Data Science Manager

Key Skills

Alteryx, AWS, Azure, Big Data Technology, Clustering, Data science techniques, Decision trees, Domino, ETL/ELT technologies, Google Cloud Platform (GCP), Informatica, Machine learning techniques, Neural Networks, R-Shiny, Tableau, Talend

Job Description

As a Data Science Manager, you will be responsible for delivering data science projects from end to end. From Ideation, through to POC’s and eventually deployments. You will need to have a breadth of skills and knowledge to handle the challenges of translating business needs into meaningful Data Science questions and investigating those questions using relevant statistical and Machine Learning techniques. You will need to be able to ensure that POC’s are put into production with the correct amount of automation.

You will lead a team of Data Scientists, Data Engineers and Machine Learning Engineers, understand the challenges or their work and aid them in the development of sophisticated and effective solutions. Understanding the motivations and mindsets of these advanced data practitioners is a key part of ensuring the team is well set up to deliver.

This role will involve understanding the needs of business stakeholders and advocating the merits of Data Science to provide viable solutions. You will need to be involved in formulating the strategy for each product to ensure it takes into account the business context and is given the best chance of success.

Major Duties & Responsibilities

• Research and implement statistical and ML models for predictive analysis and decision support
• Collaborate with technology, engineering and Finance process teams
• Keep up-to-date with latest technology trends in the space of data analytics and data science
• Ownership, prioritization and briefing for projects of varying length and complexity
• Advocate and facilitate the use of data and data science methods across the finance organization
• Communicate results and ideas to key decision makers and explain complex models in a simple manner to stakeholders
• Monitor end to end integration of data science models from data gathering, data cleaning, production and integration with user systems and tools
• Monitor models for performance, develop checks against drifting and continuously improve the existing models
• Balance long term strategic priorities with short term tactical needs

Basic Qualifications

• Required Minimum Education : 3-5 year of relevant experience.
• Bachelors/Master’s in Statistics, Mathematics, Computer Science, Business Analytics, Finance or any quantitative discipline
• Ability to lead data scientists, provide them with meaningful feedback and support
• Experience working on Data Science projects from initiation through POC to production
• Knowledge of Big Data, Data Integration, Machine Learning, intermediate level of Software Development and Automation skills
• Must have a strong commercial focus, a solid background in statistics, data science and managerial experience with machine learning
• Experience in working with data science cloud platforms AWS, Azure, Domino etc.
• Knowledge of Alteryx, Tableau, Rshiny
• Good to have an understanding of ETL tools like Informatica, Talend etc.
• Experience in handling time series data and univariate and multivariate forecasting techniques
• Experience is using variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
• Experience in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
• Good to have data science experience in finance division
• Good knowledge around risk management, compliance adherence and commitments