Jobs/Director, Data Science & Engineering, Finance
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Director, Data Science & Engineering, Finance

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Compensation TransparencyStated CTC: Competitive (Industry Standard)
Disclosed on Official ATS Application

Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.

Stipend / SalaryCompetitive (Industry Standard)
Work ModeREMOTE
Experience2+ yrs
Posted3d ago
Verified Direct Role: Clicking "Apply on Official Site" opens Dropbox's official careers portal directly without middleman aggregators.
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  • Target Role:Director, Data Science & Engineering, Finance
  • Employer:Dropbox
  • Work Mode:REMOTE
  • Location:Remote (United States)
  • Compensation:Competitive (Industry Standard)
  • Experience:2+ Years
  • Recruiter SLA:7-Day Truth Teller Guarantee
  • Candidate Fee:₹0 (Zero Placement Fee Guarantee)
Required Competencies:Financial ModelingCorporate AccountingStatutory ComplianceAuditing
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About the Role

Role Description This is a critical leadership role at the intersection of data science, data engineering, finance, and AI. As Director, Data Science & Data Engineering for Finance, you will lead a small, high-impact team that enables Finance to make better decisions through trusted data, robust analytical systems, applied modeling, and increasingly AI-powered capabilities. You will manage two direct reports: a data scientist and a data engineer. Together, the team supports the financial organization across recurring business operations, driver-model maintenance, knowledge coordination, analytical insights, and the development and operationalization of AI and machine-learning use cases. The role requires enough technical depth to guide both disciplines, while maintaining a clear focus on business outcomes, reliability, and team growth. You will partner closely with Finance leadership, Engineering, Data, Product, and other cross-functional stakeholders to establish priorities, improve the quality and accessibility of financial data, and shape a forward-looking roadmap. You will be expected to move the team beyond request-driven execution: identifying the highest-leverage opportunities, clarifying the problems worth solving, and creating the operating mechanisms needed to deliver durable impact. This is an opportunity to shape how Finance uses data and AI at a time when the underlying technologies, operating models, and expectations are changing quickly. The successful candidate will bring a growth mindset, a strong background in either data science or data engineering, and the ability to lead effectively across both disciplines. Responsibilities Manage and grow a multidisciplinary team: Lead, coach, and develop a data scientist and a data engineer, creating clear expectations, meaningful development plans, effective delegation, and a strong culture of ownership and continuous improvement. Set the team’s strategy and priorities: Translate F

Requirements & Qualifications

  • Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

  • Official mentor support
  • verified hiring timeline
  • and career progression.
Required Tech Stack4 Skills

The employer seeks candidates proficient in the following core technologies:

Financial ModelingCorporate AccountingStatutory ComplianceAuditing
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• Verified Submissions: 0 / 5• 7-Day Ghosting SLA Active• Direct ATS Verified
Expected Assessment Topics:Crowdsourced
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Verified Direct Application Link

Official position sourced directly from Dropbox's verified career portal.

Application SourceOfficial EXTERNAL Portal
Company VerificationVerified Employer
Middleman TrapsNone (Direct Employer ATS)
Candidate Fees₹0 (Zero Placement Fee Guarantee)
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What is the compensation or stipend for this role?▼

The verified package for this role is Competitive (Industry Standard) (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.

Who is eligible to apply for this opening?▼

Engineers with 2+ years of experience proficient in Financial Modeling, Corporate Accounting, Statutory Compliance, Auditing are encouraged to apply.

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Director, Data Science & Engineering, Finance
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