Data Scientist IV

United StatesRemoteFull-timemid

Data ScientistData

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Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist IV based in the United States.

Technical Tools

Data ScientistData

We are seeking an experienced Data Scientist to drive data-informed decision-making and improve marketing performance through advanced analytics, experimentation, and machine learning. In this remote consulting role, you will transform complex business and marketing data into actionable insights that support strategic decisions and measurable growth. You will design measurement frameworks, evaluate campaign effectiveness, and apply statistical methods and causal inference to understand business outcomes. Working closely with product, growth, marketing, sales, and leadership teams, you will help shape targeting strategies, audience development, and content personalization. You will also contribute to internal knowledge-sharing initiatives and collaborate with a broader data science and digital transformation community. This is a six-month engagement for a professional who combines technical depth with strong business judgment and communication skills.

You will apply advanced analytical techniques to solve business challenges, evaluate marketing initiatives, and identify opportunities for performance improvement.

Conduct business analyses using descriptive analytics, machine learning, statistical methods, and other data science techniques to identify opportunities and support strategic decisions.
Develop and implement measurement frameworks to evaluate marketing campaigns and assess their impact on brand perception, audience engagement, and revenue growth.
Apply experimentation, statistical testing, and causal inference methods to measure outcomes, validate hypotheses, and guide business optimization.
Analyze marketing and business performance data to identify trends and generate actionable recommendations.
Develop data science solutions that support audience and business growth through advanced targeting, predictive modeling, and dynamic content personalization.
Collaborate with product, growth, marketing, sales, and leadership teams to translate business challenges into analytical solutions.
Present findings, recommendations, and analytical results clearly to stakeholders to inform marketing strategy and future initiatives.
Participate in regular internal practice community meetings and contribute to knowledge-sharing activities.
Collaborate with the broader practice team on industry thought leadership, client case studies, blogs, and other learning materials.
Develop content and resources that support digital transformation initiatives.
Participate in internal networking events, both virtual and in person.
Work with leadership on professional development and career advancement opportunities.

Requirements

~1 min read

The ideal candidate combines strong quantitative expertise with practical experience applying data science methods to business problems, particularly in marketing analytics and performance measurement.

At least 6 years of relevant experience in data science, analytics, or another quantitative discipline.
Bachelor's degree in a quantitative or related field, with a strong foundation in statistics.
Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related discipline preferred.
Demonstrated ability to conduct impactful business analysis using descriptive analytics, machine learning, and related data science techniques.
Familiarity with machine learning concepts and causal inference, including their practical business applications.
Knowledge of statistical testing, experimental design, and the statistical principles underlying experimentation.
Strong analytical and problem-solving skills, with the ability to translate complex datasets into clear, actionable business insights.
Ability to collaborate effectively with cross-functional stakeholders and communicate technical findings to both technical and non-technical audiences.
Strong written and verbal communication skills.

Experience applying data science techniques to marketing analytics, campaign measurement, and marketing performance optimization.
Familiarity with experimentation platforms, experimental systems, and large-scale testing frameworks.
Experience with advanced targeting, personalization, and predictive modeling to support audience or business growth.
Previous experience working at Meta.