Remote opportunity at
DropboxDirector, Data Science & Engineering, Finance
Dropbox seeks a Director of Data Science & Engineering for Finance to guide an impactful team at the intersection of finance, data science, data engineering, and…
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About This Role
Dropbox seeks a Director of Data Science & Engineering for Finance to guide an impactful team at the intersection of finance, data science, data engineering, and artificial intelligence. This remote position involves leading a small group consisting of a data scientist and a data engineer to help the financial organization make informed choices through reliable data, advanced modeling, and AI-driven capabilities. The person in this role will partner closely with…
Job Description
Dropbox seeks a Director of Data Science & Engineering for Finance to guide an impactful team at the intersection of finance, data science, data engineering, and artificial intelligence. This remote position involves leading a small group consisting of a data scientist and a data engineer to help the financial organization make informed choices through reliable data, advanced modeling, and AI-driven capabilities. The person in this role will partner closely with finance leaders, product managers, engineers, and other stakeholders to establish priorities, enhance data quality, and shape a forward-looking technological roadmap. Ideal candidates will possess a growth mindset, strong technical foundations in either data science or data engineering, and the capability to lead across multiple disciplines while connecting technical efforts to measurable business results.
Responsibilities
- Manage, coach, and develop a multidisciplinary team containing a data scientist and a data engineer
- Translate company and finance goals into a prioritized portfolio of strategic initiatives and operational tasks
- Provide technical guidance across data architecture, pipeline quality, problem framing, and production readiness
- Identify high-value use cases for artificial intelligence, machine learning, and automation within finance workflows
- Establish reliable data foundations by partnering with stakeholders to improve source-of-truth datasets and data governance
- Own analytical and modeling outcomes supporting forecasting, financial planning, and business decision-making
- Design lightweight operating mechanisms for roadmap planning, intake, incident response, and stakeholder communication
- Communicate complex technical concepts and trade-offs clearly to both technical and executive audiences
Requirements
- Significant professional experience applying data science, machine learning, analytics, data engineering, or a combination thereof to business problems
- Demonstrated background in directly managing and developing technical professionals
- Strong foundational expertise in either data science or data engineering alongside the ability to work across both disciplines
- Experience leading a portfolio of projects from initial problem definition through delivery and ongoing operation
- Familiarity with data pipelines, data quality, model development, experimentation, and production support
- Strong communication and stakeholder management skills
- Demonstrated growth mindset and ability to operate with autonomy in an ambiguous, changing environment
Qualifications
- Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Data Science, Engineering, Economics, or a related quantitative field
- Experience supporting finance, corporate strategy, accounting, or financial planning and analysis
- Experience building or scaling artificial intelligence and machine learning capabilities such as generative AI and predictive modeling
- Experience managing hybrid or multidisciplinary teams spanning software engineering, data science, or analytics
- Experience establishing zero-to-one capabilities or leading teams through transformations
- Experience with data governance, observability, or responsible AI practices
- Experience working within a technology company or data-rich environment
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this position?
The posting lists the location as remote, though specific geographic availability rules apply depending on US compensation zones.
What is the salary range for this role?
The salary ranges from USD 203,000 to USD 309,000 per year, depending on the applicable US zone. The role is not available in US Zone 1.
What level of management experience is required?
Candidates must have experience directly managing and developing technical professionals, specifically leading a small team that currently includes a data scientist and a data engineer.
Are health, retirement, or other employee benefits specified in the posting?
No employee benefits or perks are mentioned in the job posting.
Sample Interview Questions
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