Vacancy expired!
- The Data Scientist will directly serve internal Marketing/Media leads and support the Analytics team to guide strategic conversations around Personalization, CRM, Targeting, Promotion and Marketing Effectiveness and Optimizations.
- This role will oversee multiple analytic functions including Personalization, CRM and Data Science catered to a variety of use cases.
- The Data Scientist will focus on providing best in-class support to marketing teams in executing personalized targeted marketing across Email, Direct Mail, Acquisition Media and Mobile by managing priorities through effective communication and business benefit estimation.
- The Data Science function will focus on building new techniques and the use of Machine Learning / Artificial Intelligence (ML/AI) to add additional tools for Marketing Analytics to drive customer facing outcomes.
- In this role, the Data Scientist will be responsible for idea generation and roadmap management. In this role, the Data Scientist will play a key role in building out the Tech-Analytics roadmap as it relates to Data Engineering pipelines, new data exploration needed and operationalizing customer facing marketing programs and creating longitudinal behavior data stores for customers.
- This person is expected to also be a champion for this analytics and measurement discipline within the organization – he/she will be responsible for working cross-functionally and at all levels to incorporate best practices into marketing analytic process and practice across brands, and working with the broader analytics team, agencies and vendors. In addition, this position will liase with Data Engineering and peer-Analytics teams to manage the collection and organization of customer/product analytics data for data science, management of model-ready variables, governance over effective cross-analytics collaboration and participate in personalization discussions to solution or scope the ask to Tech teams.
- The ideal candidate will have experience with SQL, Python, R, SAS as well as sound understanding of enabling marketing programs through advanced analytics, data science and business rules.
- The candidates should be strong in marketing analytics, as well as display a strong business sense and a willingness to rapidly ramp up on a new way of working.
- The role is built for a go-getter, creative, quantitative thinker, someone comfortable pushing for discipline and structured thinking amidst disparate data sets, processes and siloed initiatives, and someone excited about expanding awareness and enabling powerful analytics for other teams.
- Bachelor's degree in Computer Science, Statistics, Decision Science, Applied Math, or other quantitative field.
- 3+ years in Data Science or Advanced Analytics via predictive or explanatory models and/or experimentation processes.
- Preferred experience includes collecting and analyzing data and driving insights to understand and shape customer experiences, lifetime value, segmentation, digital marketing, ecommerce or other business outcomes
- Ability to synthesize sophisticated analytics topics, translate them into relevant conclusions/deliverables, and develop and deliver meaningful presentations, visualizations, and infographics
- Core mathematical ability to understand, utilize and innovate on state-of-the-art machine learning algorithms and/or statistical modeling
- Deep understanding of very large data sources and industry best practice research methods and applied statistics, including sampling approaches, causal modeling, time series analysis, and data mining techniques in collecting and predicting consumer sentiment, behavior and feedback
- Demonstrated strong technical skills working with Python, Spark, SQL, Hadoop, AWS Sagemaker, Airflow and Spark on large data sets.
- Experience working in a production environment with large data sets and tools including cloud architecture, version control, etc.
- Experience with agile development methodologies preferred
- Experience in developing an understanding of customers, competitors, and retail trends; knowledge of ecommerce preferred
Vacancy expired!