Lead Data Scientist (Marketing)
Minnesota Jobs, Minneapolis, MN, United States
Lead Data Scientist (Marketing)
We are seeking a Lead Data Scientist (Marketing) to join our dynamic team. The ideal candidate will have strong experience in marketing analytics, causal inference, econometrics, and machine learning and a proven ability to build and operationalize advanced models that drive marketing effectiveness and budget optimization. Responsibilities: Partner with data science leadership, ML engineering, and product owners to design and deploy optimization and machine learning models. Lead product-aligned data science work with actionable insights and technical roadmap recommendations. Develop, validate, and maintain causal measurement strategies, including Marketing Mix Models (MMM), Difference-in-Differences, Regression Discontinuity, and causal ML. Conduct statistical and econometric analyses to quantify marketing effectiveness, forecast outcomes, and recommend budget allocation. Translate complex model insights into clear recommendations for campaign planning, budget strategy, and stakeholder decision-making. Design and execute statistically-sound A/B tests for marketing campaigns. Counsel business partners on technical solutions and trade-offs. Contribute to data science technical strategy, standards, and best practices as a senior team member. Coach junior data scientists through solution reviews and mentoring. Monitor and improve model performance with feedback from business partners. Engage with peers, ask questions, and solicit feedback to improve solutions. Contribute to strategic planning, technical standards, and documentation. Required Skills & Qualifications: 6+ years as a hands-on Data Scientist coding in production environments. 4+ years building Marketing Mix Models and Marketing Attribution Models. Bachelor's degree in Mathematics, Statistics, Data Science, Operations Research, Econometrics, or related quantitative field. Proven leadership experience and clear communication skills (2+ years minimum). Expert-level programming in Python and SQL, including work with large datasets and complex queries. Expertise in causal modeling principles (DAG design, design assumptions, falsification), regression modeling (panel, time series, ridge), and Bayesian modeling (e.g., PyMC). Hands-on experience with MMM frameworks and toolsets (e.g., PyMC, Meridian, and similar libraries). Experience with ensemble methods such as Gradient Boosting and XGBoost. Demonstrated partnership with marketing and business leaders influencing key decisions. Ability to work independently on complex problems with effective prioritization and time management. Experience with cloud-based AI or data platforms. Preferred Skills: Graduate degree in Statistics, Mathematics, Operations Research, Applied Economics, or related field. Professional data science experience at a marketing analytics agency or consulting firm. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.
We are seeking a Lead Data Scientist (Marketing) to join our dynamic team. The ideal candidate will have strong experience in marketing analytics, causal inference, econometrics, and machine learning and a proven ability to build and operationalize advanced models that drive marketing effectiveness and budget optimization. Responsibilities: Partner with data science leadership, ML engineering, and product owners to design and deploy optimization and machine learning models. Lead product-aligned data science work with actionable insights and technical roadmap recommendations. Develop, validate, and maintain causal measurement strategies, including Marketing Mix Models (MMM), Difference-in-Differences, Regression Discontinuity, and causal ML. Conduct statistical and econometric analyses to quantify marketing effectiveness, forecast outcomes, and recommend budget allocation. Translate complex model insights into clear recommendations for campaign planning, budget strategy, and stakeholder decision-making. Design and execute statistically-sound A/B tests for marketing campaigns. Counsel business partners on technical solutions and trade-offs. Contribute to data science technical strategy, standards, and best practices as a senior team member. Coach junior data scientists through solution reviews and mentoring. Monitor and improve model performance with feedback from business partners. Engage with peers, ask questions, and solicit feedback to improve solutions. Contribute to strategic planning, technical standards, and documentation. Required Skills & Qualifications: 6+ years as a hands-on Data Scientist coding in production environments. 4+ years building Marketing Mix Models and Marketing Attribution Models. Bachelor's degree in Mathematics, Statistics, Data Science, Operations Research, Econometrics, or related quantitative field. Proven leadership experience and clear communication skills (2+ years minimum). Expert-level programming in Python and SQL, including work with large datasets and complex queries. Expertise in causal modeling principles (DAG design, design assumptions, falsification), regression modeling (panel, time series, ridge), and Bayesian modeling (e.g., PyMC). Hands-on experience with MMM frameworks and toolsets (e.g., PyMC, Meridian, and similar libraries). Experience with ensemble methods such as Gradient Boosting and XGBoost. Demonstrated partnership with marketing and business leaders influencing key decisions. Ability to work independently on complex problems with effective prioritization and time management. Experience with cloud-based AI or data platforms. Preferred Skills: Graduate degree in Statistics, Mathematics, Operations Research, Applied Economics, or related field. Professional data science experience at a marketing analytics agency or consulting firm. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.