What are the responsibilities and job description for the Data Scientist Marketing Science position at Domino's Corporate?
Job Description
Summary :
The Analytics & Insights team has been a key contributor to driving Domino’s industry-leading sales growth by pairing strategic thought leadership with the latest analytic techniques in the fields of data science, machine learning, artificial intelligence, and primary research. The A&I team leverages their skills to drive outstanding consumer and employee experiences to fuel future growth.
As a Data Scientist on the Marketing Science team, you will be primarily responsible for championing robust methodologies and statistically sound decision-making. These will serve to optimize the profitability of Domino’s Digital & non-Digital Marketing Channels. In this role, you will be uniquely positioned to influence the evolution of Domino’s marketing strategies. This will be done by leveraging analytics to identify areas of efficient growth throughout the entire marketing ecosystem. The marketing landscape is rapidly evolving so this data scientist will need to additionally be flexible and creative in identifying new and effective ways of measuring the impact of emerging and non-traditional marketing platforms. This role will work closely with and contribute to the development of state-of-the-art Media Mix Modeling. To be successful as a Data Scientist on the Marketing Data Science team you should have a demonstrated background blending large data, statistics, creativity, and consulting into actionable outcomes.
RESPONSIBILITIES AND DUTIES
Marketing Statistical Consulting (50%)
Regularly consult with multiple marketing vendors, to drive best-in-class marketing AB measurement
Provide optimal statistical test designs for measuring and reporting the effectiveness of various marketing tests
Provide feedback on test elements such as sampling strategies, statistical techniques, power, and audience optimization
Analyze tests to provide recommendations on conversion, customer lifetime sales, advertising efficiency, and profitability
Shape and guide strategic business objectives with disciplined analytic approach
Strong mix of influencing partners, consulting, and individual delivery of analysis
Proactively monitor and report on key test-health metrics
Identify, develop, and present recommendations for further improvements and testing
Partner with and manage external vendors when needed to address key business issues
Majority of this is accomplished through conversation, with partners both internal and external.
Advanced Media Measurement (40%)
Media Mix Modeling – support the development of best-in-class in-house media mix models
Develop explanatory Machine Learning Models on the effects that various marketing attributes have on sales performance
Recommend and perform custom statistical testing on high impact media channels such as TV
Ad-hoc Analytics (10%)
Adhoc data pulls, simple stats and analysis, customer segmentation, etc
Collaborate with and provide data-driven insights to the Marketing team on follow-up and ad-hoc requests
Qualifications : Qualifications
Bachelor’s degree in Data Science, Statistics, Mathematics, Marketing Science, or related field
1 years of professional related work experience
Proficient in SQL
Proficient in R or Python
Applied experience with statistical computer languages (R, Python, etc.)
Knowledge of advanced statistical techniques and concepts (regression, probability, properties of distributions, statistical tests, etc.) and experience with applications.
Knowledge of a variety of predictive modeling & machine learning techniques (classification, predictive, artificial neural networks, etc.) and their real-world application.
Excellent project management skills
Excellent collaboration and communication skills
Proficient in Microsoft Office - Fluent in Power Point and Proficient in Excel
Databricks & Microsoft Azure experience desired
Additional Information
Benefits :
Paid Holidays and Vacation
Medical, Dental & Vision benefits that start on the first day of employment
No-cost mental health support for employees and dependents
Childcare tuition discounts
No-cost fitness, nutrition, and wellness programs
Fertility benefits
Adoption assistance
401k matching contributions
15% off the purchase price of stock
Company bonus
All your information will be kept confidential according to EEO guidelines
