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Jellyfish

Data Science Director

Jellyfish

. Create and execute data-driven strategies that empower our clients to extract greater insights and achieve performance.

Posted 4/29/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $150,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Create and execute data-driven strategies that empower our clients to extract greater insights and achieve performance.
  • Provide expertise in the data science and marketing science space, ensuring that Jellyfish maintains its position as an industry leader.
  • Develop and deliver solutions that have a global impact on us, and our partners like Google, Amazon, Meta, and our clients.
  • Drive the productization of high-quality prototypes, overseeing product execution by operational teams, and ensuring the delivery of the product.
  • Maintain a vibrant team culture characterized by accountability, performance, and skill development is an important aspect of this role.

Requirements

What you’ll need
  • A comprehensive understanding of the marketing ecosystem and measurement framework, including paid media, organic channels, web, and app between 5 to 10 years.
  • Experience leading complex technical projects for enterprise clients.
  • Expertise in data analytics, enabling you to define clients' data strategies, frame challenges, and craft appropriate data solutions.
  • Experience leading and nurturing a data science team while reinforcing tech best practices.
  • Experience building predictive models (e.g., econometric modeling, propensity models).
  • Proficiency in programming with Python and SQL.
  • Experience visualizing data using tools like Looker or Tableau.
  • Proficiency in collaborative code development practices, including the use of GitHub.
  • Immerse yourself in customers' expectations, preferences, and need to deliver exceptional experiences to both technical and non-technical audiences.
  • Utilize market insights to make strategic decisions and develop business strategies.
  • Implement quality control measures to ensure adherence to established standards.
  • Develop analytical frameworks and methodologies to address complex data-related issues.
  • Collaborate with team members to achieve common goals, valuing and respecting diverse contributions.
  • Anticipate future trends, changes, and challenges, staying one step ahead of potential impacts.

Benefits

Comp & perks
  • 14 weeks of paid leave for primary caregivers
  • 4 weeks of paid leave for secondary caregivers
  • £1000 (or equivalent) towards courses for returning primary caregivers
  • Work remotely for up to 60% of your days
  • Flexible working hours with choice of 8am to 6:30pm
  • Accumulate one paid day each month for self-development

ATS Keywords

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Hard Skills & Tools
data analyticspredictive modelingeconometric modelingpropensity modelsPythonSQLdata visualizationLookerTableauGitHub
Soft Skills
leadershipteam cultureaccountabilityperformanceskill developmentcollaborationcustomer focusstrategic decision-makingadaptabilitycommunication