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Aitopics

Senior Staff Data Scientist, Marketing Analytics

Aitopics, Denver, Colorado, United States, 80285


Senior Staff Data Scientist, Marketing Analytics

At Udemy, we’re on a mission to transform lives through learning. Through our intelligent skills platform and a global community of instructors, we’ve helped over 70 million learners and 16,000 organizations achieve their goals. Come join us in ensuring everyone, everywhere has access to the skills they need to unlock their potential and create possibilities for themselves and others.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 with 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.We understand that not everyone will match each of the above qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!Our Benefits Start With U

Our benefits package at Udemy “starts with U” and is grounded in mission-driven benefits that intentionally align with our core values. Here’s a sneak peek at just a few highlighted benefits if you’re a full-time Udemate based in the United States:

Core Benefits:

Comprehensive medical, dental, vision, life/AD&D, and disability coverageHSA/FSA/Commuter:

Pre-tax savings/spending plans, including HSA employer contributionsTransgender Benefits:

Expanded medical coverage for gender-affirming careParental Benefits:

Financial assistance for fertility (including egg-freezing), adoption, and surrogacy expenses; twelve weeks of paid family bonding for birth, surrogacy, adoption, and foster placement (plus up to six to ten weeks of paid disability leave for birthing parents) as well as a two-week “ease-back” program that enables parents to return part-time at full payWhole U:

Fully paid memberships for meditation/mindfulness, therapy/coaching visits, financial planning, fertility and family building, maternity and newborn care, parenting and pediatrics, menopause care, breastmilk shipping, and caregiving supportLearning:

Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional developmentRetirement:

Pre-tax and Roth 401(k) plan with an employer contributionCharitable Giving:

Corporate charitable match for eligible nonprofits and charitiesVacation:

Flexible vacation for salaried Udemates and fifteen days per year for hourlyHolidays:

Twelve paid holidays throughout the yearAt Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We will consider for employment qualified applicants with arrest and conviction records.

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