Data Scientist-Vice President-Finance Data & Analytics
About The Position
As a Data Scientist in Finance Data & Analytics, you will help transform how the business accesses data and derives insights. You will use Databricks and cloud technologies to enhance data processing capabilities, enable faster access to data, and generate insights through AI. You will develop and optimize data mining, analytics, and reporting that inform financial trends and strategic initiatives; 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 help stakeholders access data quickly and make insight-driven decisions.
Requirements
- 5+ years of experience in financial organizations.
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Experience in SQL database management and development.
- Expertise in Databricks and cloud platforms such as AWS, Azure, or Google Cloud.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with data integration, ETL processes, and data warehousing.
- Familiarity with big data technologies and frameworks.
- Strong problem-solving, communication, and collaboration skills, with attention to detail.
Nice To Haves
- Experience with machine learning and data analytics.
- Certification in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Data Engineer).
- Knowledge of DevOps practices and CI/CD pipelines.
- Experience with data visualization and analytics tools (e.g., Tableau, ThoughtSpot).
- Strong financial and business analytical skills.
- Ability to work independently and efficiently.
Responsibilities
- Partner across finance to develop and optimize data mining and analytics for financial trends and initiatives.
- Aggregate and mine new and existing data sources to make them available for reporting and analytics.
- Develop clear, concise reports that identify strategic information and provide performance-improvement recommendations.
- Lead MIS initiatives and facilitate discussions on impacts and results.
- Enhance the data available in the existing repository and optimize ongoing data processes.
- Partner with finance and MIS teams to ensure the consistency and accuracy of data and reporting.
- Provide analytical and reporting support to the business throughout the month.
- Drive the development and deployment of AI tools, including building, testing, and reviewing model training.
- Develop, test, and deploy scalable, efficient cloud applications.
- Optimize data processing workflows while ensuring data integrity and security.
- Provide technical guidance to team members and stakeholders, and stay current on cloud technologies and best practices.
Benefits
- Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
