**Data Scientist-Vice President-Finance Data & Analytics**
- Lead data-driven decision-making, optimizing analytics for financial trend analysis across finance teams
- Boost data processing efficiency using Databricks and cloud technologies (AWS, Azure)
- Identify strategic insights, enhance data infrastructure, drive AI deployment, and ensure data consistency
- Partner with cross-functional teams, stay current on cloud technologies, and mentor team members
- 5+ years in financial organizations, Bachelor's in CS/IT, SQL, Python expertise; AI, ETL, big data experience preferred
Full Job Description
Location: OH, United States
Join a team on a data analytics and insights-generation journey, where youll help transform how the business accesses data and derives insights. Youll leverage Databricks and cloud technologies to enhance our data processing capabilities, empower end users to access data swiftly, and unlock insights through AI.
As a Data Scientist-Vice President in Finance Data & Analytics, you will be a pivotal player in developing and optimizing data mining, analytics, and reporting that inform financial trends and strategic initiatives. Youll build and deploy AI tools and scalable cloud applications, enhance the existing data infrastructure, and partner across finance and MIS teams to ensure data consistency and accuracy. Your work will empower stakeholders to access data quickly and make better, insight-driven decisions.
Job Responsibilities
Partner across finance to develop and optimize data mining and analytics for financial trends and initiativesAggregate and mine new and existing data sources to make them available for reporting and analyticsDevelop clear, concise reports that identify strategic information and provide performance-improvement recommendationsLead MIS initiatives and facilitate discussions on impacts and resultsEnhance the data available in the existing repository and optimize ongoing data processesPartner with finance and MIS teams to ensure the consistency and accuracy of data and reportingProvide analytical and reporting support to the business throughout the monthDrive the development and deployment of AI tools, including building, testing, and reviewing model trainingDevelop, test, and deploy scalable, efficient cloud applicationsOptimize data processing workflows while ensuring data integrity and securityProvide technical guidance to team members and stakeholders, and stay current on cloud technologies and best practicesRequired Qualifications, Capabilities, and Skills
5+ years of experience in financial organizationsBachelors degree in Computer Science, Information Technology, or a related fieldExperience in SQL database management and developmentExpertise in Databricks and cloud platforms such as AWS, Azure, or Google CloudProficiency in programming languages such as Python, Scala, or JavaExperience with data integration, ETL processes, and data warehousingFamiliarity with big data technologies and frameworksStrong problem-solving, communication, and collaboration skills, with attention to detailPreferred Qualifications, Capabilities, and Skills
Experience with machine learning and data analyticsCertification in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Data Engineer)Knowledge of DevOps practices and CI/CD pipelinesExperience with data visualization and analytics tools (e.g., Tableau, ThoughtSpot)Strong financial and business analytical skillsAbility to work independently and efficiently Build data pipelines, AI tools, and analytics on Databricks and cloud to turn finance data into actionable insights. 
