Marketing Analytics Acquisition Director (Data Science)

Location: Columbus, OH, United States; office-based

Company

hirify.global is a financial services organization developing data-driven marketing and banking solutions.

What you will do

• Set the strategy and vision for marketing analytics and data science supporting consumer acquisition, checking/DDA acquisition, digital marketing, and digital channel performance.
• Design and lead campaign measurement programs, including test/control design, incrementality measurement, post-campaign analysis, conversion, response, and ROMI evaluation.
• Develop media mix models, campaign forecasts, pro formas, customer segments, and predictive models to improve targeting and marketing investment decisions.
• Lead the end-to-end analytical and model development lifecycle, from requirements and data sourcing through model development, communication, and production scoring.
• Prioritize analytical projects based on business value, strategic importance, and technological readiness while managing the team’s book of work.
• Partner with Marketing, Product, Digital, Finance, Data & Analytics, and other stakeholders; coach and develop a team of data scientists.

Requirements

• Master’s degree in computer science, statistics, economics, or a related field.
• 10+ years of experience in strategy, management consulting, analytics, technical leadership, or management of data-centric products.
• Experience with predictive modeling, statistical analysis, structured and unstructured data, big data analysis, scalable data pipelines, and model deployment.
• Expertise in at least one data science environment such as R/RStudio, Python, or SAS, and one database architecture such as SQL or NoSQL.
• Experience with cloud machine learning technologies such as AWS SageMaker and machine learning environments such as TensorFlow, scikit-learn, or caret.
• Strong communication, negotiation, influencing, partnership, presentation, and team development skills; financial services experience is preferred.

Nice to have

• PhD in computer science, statistics, economics, or a related field.
• Experience leading and growing successful data teams.
• Experience with web scraping and advanced statistical methods, including Bayesian networks, regression, hierarchical models, and mixed or multilevel modeling.

Culture & Benefits

• Office-based workplace with possible flexible arrangements determined by the hiring team for eligible positions.
• Emphasis on collaboration, strong team connections, inclusion, innovation, and continuous improvement.
• Exempt position and not eligible for overtime pay.