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Senior Data Science Manager, Algorithms

Menlo Park

SpringCube

Full-time - Engineering Manager

Financial Services, Fintech & Crypto

Posted 3 weeks ago

$250,000 - $300,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading financial technology organization is building the future of finance with a mission to make financial services more accessible. The organization is focused on applying advanced technology to major financial challenges and creating innovative products that serve millions of customers.

The Crypto Data Science team works across product, engineering, finance, and research to develop strategies that support the growth of a rapidly expanding digital asset business. The team transforms complex data into actionable insights that influence product development, international expansion, customer growth, and the overall direction of the crypto business.

What You’ll Do

  • Lead, mentor, and scale a team of data scientists and analytics engineers working across product and machine learning domains.
  • Partner closely with crypto product, engineering, finance, and research teams to drive strategic initiatives, including international expansion, professional trader growth, and digital wallet adoption.
  • Deliver robust, data-driven recommendations and analyses that influence product direction and business strategy.
  • Apply data science to opportunities involving stock tokens, perpetuals, blockchain technologies, and other emerging areas within the crypto ecosystem.
  • Foster a culture of excellence in analytics, experimentation, technical innovation, and measurable business impact.
  • Represent the Crypto Data Science function in cross-functional leadership forums.
  • Contribute to the broader strategy and growth of the crypto organization.
  • Develop scalable analytical solutions that support complex product and business decisions.
  • Build strong partnerships across technical and business functions to translate data into meaningful outcomes.

What You Bring

  • 7+ years of professional experience in data science.
  • At least 2+ years of experience managing and developing people.
  • Deep experience with Python and SQL in production or analytics environments.
  • Proven success in product-focused data science roles.
  • Demonstrated ability to deliver strategic insights and scalable analytical solutions.
  • Strong understanding of the cryptocurrency and blockchain ecosystem.
  • 3–4 years of direct experience in crypto is highly preferred.
  • Strong executive presence and the ability to influence decisions across multiple teams.
  • Excellent written and verbal communication skills.
  • Strong analytical, problem-solving, and strategic thinking capabilities.

Leadership Expectations

  • Drive high performance by establishing clear and focused goals, providing real-time feedback, developing high-performing talent, and scaling team impact through focus, innovation, and technology.
  • Hire and retain exceptional talent by maintaining high standards, selecting candidates who strengthen the team, investing in effective onboarding, and addressing performance and talent issues promptly and fairly.
  • Create a strong sense of community by connecting employees’ work to organizational purpose, removing unnecessary friction, prioritizing safety, building trust and inclusion, and leading with integrity.
  • Encourage continuous learning, experimentation, and innovation across the data science organization.
  • Build an environment where teams can collaborate effectively while maintaining high standards for quality and execution.

What the Organization Offers

  • Challenging and high-impact work designed to support long-term career growth.
  • Performance-driven compensation, including multipliers for exceptional impact, bonus programs, equity ownership, and 401(k) matching.
  • Comprehensive benefits designed to support employees and their families.
  • Access to advanced AI tools and continuous AI skill-building opportunities for employees across technical and non-technical functions.
  • A flexible lifestyle benefits wallet that can be used for wellness, learning, and other eligible expenses.
  • Employer-paid life and disability insurance.
  • Fertility and mental health benefits.
  • Paid time off, company holidays, sick time, parental leave, and additional opportunities to recharge.
  • A high-quality office environment featuring catered meals, events, collaborative spaces, and comfortable workspaces.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.