Data Scientist IV (6367)

itD is seeking a Data Scientist IV to drive data-informed decision-making and optimize marketing performance through advanced analytics, experimentation, and machine learning. The ideal candidate will bring strong experience in business analysis, statistical methods, machine learning, and causal inference, with the ability to develop measurement frameworks, evaluate marketing effectiveness, and deliver actionable insights that influence business strategy and growth.

• →Conduct impactful 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, engagement, and revenue growth.
• →Apply experimentation, statistical testing, and causal inference techniques to measure outcomes, validate hypotheses, and guide business optimizations.
• →Analyze marketing and business performance data to identify trends, generate actionable insights, and improve engagement with advertisers of varying sizes and markets.
• →Develop data science solutions that support business audience 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 and drive measurable impact.
• →Present findings, recommendations, and analytical results to stakeholders to inform marketing strategy, improve decision-making, and guide future initiatives.

• →Attend regular internal practice community meetings.
• →Collaborate with your itD practice team on industry thought leadership.
• →Complete client case studies and learning material (blogs, media material).
• →Build out material to contribute to the Digital Transformation practice.
• →Attend internal itD networking events (in person and virtual).
• →Work with leadership on career fast-track opportunities.

• 6+ years of relevant experience in data science, analytics, or a related quantitative field.
• Bachelor's degree with a strong foundation in statistics or a related quantitative discipline.
• Demonstrated ability to conduct impactful business analysis using descriptive analytics, machine learning, or related data science techniques.
• Familiarity with machine learning or causal inference concepts and their practical applications.
• Familiarity with statistical testing, experimental design, and the statistical principles underlying testing.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable business insights.
• Ability to collaborate effectively with cross-functional stakeholders and communicate analytical findings clearly.

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

• Bachelor's degree in a quantitative or related field, with a strong foundation in statistics.
• A degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related discipline is preferred.