Work for a company who gives you a platform to do amazing things. 

As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will work closely with our Finance, Strategy and Leadership Team. You will tackle key strategic issues using advanced analytics and a big data approach. This role is a great opportunity for you to use your analytical skills and business acumen to deliver impactful results that promote strategic decisions.

Job Responsibilities:

Excel at communicating and interfacing with senior stakeholders, leveraging a blend of analytical skills and business acumen to drive impactful results that inform strategic decisions. Commit to iterative development, with a proven ability to engage and update stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle. Manage ownership and development from inception to completion, encompassing tasks such as gathering detailed requirements, data preparation, model creation, result generation, and data visualization.  Develop insights, methods or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, time series analysis, etc. Handle large amounts of data from multiple and disparate sources, employing advanced Python and SQL techniques to ensure efficiency and accuracy. Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols

Required qualifications, capabilities, and skills:

PhD or MSc. in a scientific field (Computer Science, Engineering, Operations Research, etc.) plus 6 years or more of experience in producing advanced analytics work with an emphasis in optimization. Strong proficiency in statistical software packages and data tools, including Python and SQL. Strong proficiency in Advanced Statistical methods and concepts, predictive modeling, time series forecasting, text mining. Strong proficiency in Data Mining & Visualization. Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. Strong story telling capabilities including communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization. Strong commitment to iterative development, with a proven ability to engage and update stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle.

Preferred qualifications, capabilities, and skills:

Financial Service industry experience preferred. Tableau experienced preferred. Understanding of Cloud Storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases)