Principal Data Scientist, Marketing Intelligence

Role and Qualifications

As a Principal Data Scientist in our Marketing Intelligence team, you will:

– Collaborate with ui/ux designers, software engineers, and product managers to create products that customers love.
– Utilize a wide range of technologies including Python, Conda, AWS, H2O, Spark, etc. to extract insights from large volumes of numeric and textual data.
– Develop machine learning models from design to implementation, including training, evaluation, and validation stages.
– Utilize strong interpersonal skills to translate complex work into tangible business objectives.

Ideal Candidate Profile:

– Curiosity and Creativity: Thrives on defining and solving big, undefined problems. Enjoys asking questions and finding answers. Open to sharing new ideas. Able to clearly and effectively communicate findings to non-technical audiences.
– Technical Proficiency: Has hands-on experience developing data science solutions from concept to production using open-source tools and modern cloud computing platforms. Comfortable handling petabytes of data.
– Statistical Mindset: Has experience building, validating, and backtesting models. Familiar with confusion matrix and ROC curve interpretation. Experienced in clustering, classification, sentiment analysis, time series analysis, and deep learning.

Basic Qualifications:

– In the process of obtaining or already having a Bachelor’s Degree plus 5 years of data analytics experience, or a Master’s Degree plus three years in data analytics, or currently obtaining a PhD. The required degree should be obtained on or before the scheduled start date.
– At least 1 year of experience in open-source programming languages for large-scale data analysis.
– At least 1 year of experience with machine learning.
– At least 1 year of experience with relational databases.

Preferred Qualifications:

– At least 3 years of experience in data analytics.
– At least 1 year of experience working with AWS.
– At least 3 years of experience in Python, Scala, or R.
– At least 3 years of experience with machine learning.
– At least 3 years of experience with SQL.