Director, Data Science

Known

Director of Data Science leading AI-driven marketing analytics and client engagements at Known, a data science and creative agency. Managing data science teams and driving strategic growth.

Posted 9/11/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science and AI projects, managing teams, and applying advanced analytics to solve marketing challenges. Proficient in Python, SQL, and machine learning methodologies, with a strong ability to communicate insights effectively to diverse stakeholders.

Highest-signal resume keywords

Python Coding SkillsMachine Learning ExpertiseTeam Management ExperienceAdvanced Analytics ApplicationData Storytelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ResearchStatisticsData AnalysisMachine Learning ModelsData EngineeringCausal InferenceExperimentation TechniquesMarketing AnalyticsXGBoost RegressionData Pipeline Understanding

Soft Skills

Communication SkillsNarrative-BuildingPresentation SkillsCollaborationMentoring

Tools & Technologies

GitSQLData Science ToolsAnalytics ToolsSurvey Research Tools

Industry Keywords

Marketing StrategiesAI DevelopmentsInnovationContinuous LearningClient Engagement

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead client engagements at the intersection of data science, AI, and strategy
Own projects from scoping through delivery
Collaborate with clients and cross-functional teams to solve complex marketing challenges
Apply advanced analytics, modeling, statistics, measurement, and experimentation techniques
Manage, mentor, and grow analysts and data scientists
Advise quantitative survey researchers
Foster innovation, collaboration, and continuous learning
Ensure delivery of high-quality work
Pitch new projects and grow client relationships
Track marketing analytics trends and introduce new methodologies, tools, and techniques
Advise clients and team members on experimentation, machine learning, and advanced data science methods

Requirements

What you’ll need

8+ years of professional experience in quantitative research, marketing, or consulting
At least 2 years of experience managing people and teams
Superb communication, narrative-building, and presentation skills
Ability to present and tell stories with data to engineers and C-suite executives
High-quality Python coding skills
Comfort with Git and SQL
Understanding of data pipelines and ability to bridge technical execution and strategic business goals
Expertise implementing and explaining machine learning models, including linear and XGBoost regressions
Deep understanding of statistics and probability applied to experimentation and marketing problems
Proficiency analyzing large datasets and smaller survey datasets
Up-to-date knowledge of data science and AI developments and ability to apply them
Proficiency with data engineering tasks and tools
Experience in mid- and upper-funnel marketing strategies, causal inference, generative AI applications, or synthetic data is a bonus

Benefits

Comp & perks

Unlimited paid time off
401k with company matching and no vesting period
Annual bonuses
Generous medical plan
Paid parental leave