BEDI Partnerships
Senior Staff Data Scientist, Marketing Analytics
BEDI Partnerships - Denver, Colorado, United States, 80285
Work at BEDI Partnerships
Overview
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Overview
About Us
At Udemy, we're on a mission to improve lives through the power of learning. We're a leading global learning company and one of the world's largest education platforms, with more than 67 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals.
Talented people are everywhere, and the right opportunity can be hard to come by. That's why we're focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by making learning more accessible for our learners, our instructors, and businesses around the world.
Hybrid work
Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and other US locations. Our robust hybrid work model spans San Francisco, Denver, Ankara, Dublin, Mexico City and Melbourne.
This hybrid position requires two days per week in the office at the nearest hub. About you
You're an analytical problem-solver ready to put your skills toward purposeful work that has a global impact. You want to lead the way in innovation, exploring the latest technologies and finding new solutions. You thrive in a collaborative environment and are eager to work with and learn alongside the best in Product, Design, and Engineering. About this role
We are seeking a highly skilled and collaborative Senior Data Scientist with a strong background in marketing analytics to join our team. In this role, you will partner closely with the Marketing team to improve ROI of our marketing initiatives utilizing your expertise in statistical modeling, machine learning, and data mining techniques to uncover actionable insights from complex datasets. The ideal candidate will have a proven track record of delivering impactful analytics projects in a marketing or consumer-focused environment. What you'll be doing Partner marketing stakeholders to refine marketing initiatives by defining clear problem statements, utilizing predictive modeling to identify target audiences, assessing opportunities, and recommending effective testing and measurement strategies Lead the implementation of Media Mix Models to develop global budget allocation strategy and recommend optimal marketing spend across channels and tactics. Help establish a marketing measurement framework alongside MMM based on incrementality testing using Geo-based targeting, causal inference, A/B testing and other experimentation methodologies Conduct in-depth analysis of marketing performance metrics, customer behavior, and market trends to identify growth opportunities and improve ROI. Utilize advanced statistical techniques to build attribution models, analyze customer journeys, and optimize conversion funnels across various marketing channels. Develop dashboards and visualizations to effectively communicate insights and KPIs to stakeholders, enabling data-driven decision-making at all levels of the organization. Stay current with industry trends and emerging technologies in data science and marketing analytics, and apply them to enhance our analytical capabilities. What you'll have Bachelor's or higher in Statistics, Mathematics, Computer Science, Economics, or related quantitative field. 10+ years of relevant experience in data science, with a proven track record of applying advanced predictive modeling techniques to drive business impact. Strong proficiency in statistical analysis and machine learning, with expertise in media mix modeling, causal inference methods, forecasting, regression, and time series modeling. Experience with data pipelining tools such as DBT and Airflow, and proficiency in SQL for data extraction and manipulation. Command over programming languages such as Python for data analysis and automation. Familiarity with Business Intelligence tools such as Tableau, with a strong understanding of best practices for dashboarding and visualization. Leadership and communication skills, with the ability to articulate complex concepts clearly and effectively to stakeholders.
At Udemy, we're on a mission to improve lives through the power of learning. We're a leading global learning company and one of the world's largest education platforms, with more than 67 million learners. Our goal is to provide flexible, effective skill development to empower organizations and individuals.
Talented people are everywhere, and the right opportunity can be hard to come by. That's why we're focused on revolutionizing learning, using our skills and expertise to help others develop theirs and reach their full potential. Individually, we bring our unique perspective to reimagine the way we share knowledge. Together, we can improve lives by making learning more accessible for our learners, our instructors, and businesses around the world.
Hybrid work
Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and other US locations. Our robust hybrid work model spans San Francisco, Denver, Ankara, Dublin, Mexico City and Melbourne.
This hybrid position requires two days per week in the office at the nearest hub. About you
You're an analytical problem-solver ready to put your skills toward purposeful work that has a global impact. You want to lead the way in innovation, exploring the latest technologies and finding new solutions. You thrive in a collaborative environment and are eager to work with and learn alongside the best in Product, Design, and Engineering. About this role
We are seeking a highly skilled and collaborative Senior Data Scientist with a strong background in marketing analytics to join our team. In this role, you will partner closely with the Marketing team to improve ROI of our marketing initiatives utilizing your expertise in statistical modeling, machine learning, and data mining techniques to uncover actionable insights from complex datasets. The ideal candidate will have a proven track record of delivering impactful analytics projects in a marketing or consumer-focused environment. What you'll be doing Partner marketing stakeholders to refine marketing initiatives by defining clear problem statements, utilizing predictive modeling to identify target audiences, assessing opportunities, and recommending effective testing and measurement strategies Lead the implementation of Media Mix Models to develop global budget allocation strategy and recommend optimal marketing spend across channels and tactics. Help establish a marketing measurement framework alongside MMM based on incrementality testing using Geo-based targeting, causal inference, A/B testing and other experimentation methodologies Conduct in-depth analysis of marketing performance metrics, customer behavior, and market trends to identify growth opportunities and improve ROI. Utilize advanced statistical techniques to build attribution models, analyze customer journeys, and optimize conversion funnels across various marketing channels. Develop dashboards and visualizations to effectively communicate insights and KPIs to stakeholders, enabling data-driven decision-making at all levels of the organization. Stay current with industry trends and emerging technologies in data science and marketing analytics, and apply them to enhance our analytical capabilities. What you'll have Bachelor's or higher in Statistics, Mathematics, Computer Science, Economics, or related quantitative field. 10+ years of relevant experience in data science, with a proven track record of applying advanced predictive modeling techniques to drive business impact. Strong proficiency in statistical analysis and machine learning, with expertise in media mix modeling, causal inference methods, forecasting, regression, and time series modeling. Experience with data pipelining tools such as DBT and Airflow, and proficiency in SQL for data extraction and manipulation. Command over programming languages such as Python for data analysis and automation. Familiarity with Business Intelligence tools such as Tableau, with a strong understanding of best practices for dashboarding and visualization. Leadership and communication skills, with the ability to articulate complex concepts clearly and effectively to stakeholders.