Overview
Skills
Job Details
Job Description
Local Candidates Only
Experience with Marketing Mix Modeling required
As a Data Scientist Contractor, you will support the North America Data Science team in the Consumer Business Intelligence department. Your focus will be on developing and deploying machine learning algorithms and data mining strategies to optimize omnichannel communications for media/advertising applications, with an emphasis on generative AI applications to bring business value.
Key Responsibilities:
Strategic Collaboration and Business Impact
Work with the business to identify and prioritize data science-driven opportunities, including those leveraging generative AI, with a focus on delivering tangible business value
Collaborate with cross-functional teams and suppliers to guide and review modeling efforts
Model Development and Deployment
Build, test, validate, and deploy machine learning algorithms and data mining strategies to optimize omnichannel communications media/advertising applications
Working knowledge of Mlops process to assist bringing data science projects into production
Ongoing Analysis and Quality Assurance
Perform exploratory data analyses and maintain robust quality checks
Continuously monitor and refine deployed models to ensure business relevance and accuracy
What we are looking for
Required Qualifications
Education & Experience
Advanced degree in statistics, mathematics, economics, or applied science
Minimum of 5+ years of experience in analytics, data mining, machine learning and deep learning modeling with experiences or learnings to apply generative AI concepts
Experience with online media, marketing attribution models, and adtech ecosystem is highly preferred
Technical Skills
Strong proficiency in Python and SQL
Working knowledge of relational database management systems
Familiarity with advanced tools and platforms such as Apache Spark, sparkML, scikit-learn, TensorFlow, Keras, XGBoost, Databricks, Snowflake, and AWS
Soft Skills & Attributes
Strong business acumen and a passion for achieving business value through data science, with an openness to diverse methodologies beyond advanced data science techniques
Willingness to try new things and build from scratch to prove value, demonstrating a proactive and innovative approach to problem-solving
Excellent communication skills with the ability to collaborate with and present to internal and external partner