Data Scientist Lead - Vice President

JobID: 210503199

Category: Predictive Science

JobSchedule: Full time

Posted Date: 2024-06-18T18:16:37+00:00

JobShift: Day

Base Pay/Salary: Jersey City,NJ $142,500.00-$210,000.00; New York,NY $142,500.00-$210,000.00

As a Data Scientist Lead - Vice President within our Finance, Strategy and Private Client Leadership Team, you will have the opportunity to solve key strategic issues using your analytical skills. You will work hand-in-hand with stakeholders, bringing the power of data to inform strategic decisions. Your commitment to iterative development and project ownership will promote impactful results and uphold the highest standards of data integrity and security.

Job Responsibilities

• Communicate and interface 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.

• Own project 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

• Experience / Understanding of Cloud Storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases)

• Tableau experienced preferred\

• Relocation is not offered/supported for this