Data Scientist IV.

Accountabilities

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

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.

Preferred Qualifications

• 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.

Benefits

• Hourly compensation not specified in the listing.

• Six-month contract engagement.

• Fully remote work arrangement.

• Comprehensive medical benefits.

• 401(k) plan with employer matching.

• Paid holidays.

• Access to networking, career development, and learning programs.

• Opportunities to collaborate with high-performance teams and work with large enterprise clients across multiple industries.

• Respectful and empowering work environment focused on professional growth and recognition.