Descrição

Performance Marketing Team:

The Performance Marketing team is responsible for driving business growth through data-driven decision making. We use machine learning models to analyze customer behavior, optimize marketing campaigns, and improve overall customer satisfaction.

As a Data Scientist II, you will be part of this team, working closely with our data science team to design, prototype, evaluate, deploy, and maintain new models in production.

Your Role:

As a Data Scientist II, you will be responsible for applying machine learning models to solve a variety of core business problems across performance marketing. You will work closely with our data science team to design, prototype, evaluate, deploy, and maintain new models in production.

You will also have the opportunity to seek out new opportunities to apply data science and machine learning in the performance marketing space across all channels (e.g., Web, email, paid marketing). This will involve analyzing data, communicating progress and interpretation of experimental results to technical and business stakeholders, and discovering new ways to analyze and interpret data.

• What You'll Do:
• Use machine learning models to solve a variety of core business problems across performance marketing
• Work closely with our data science team to design, prototype, evaluate, deploy, and maintain new models in production
• Seek out new opportunities to apply data science and machine learning in the performance marketing space across all channels
• Analyze data, communicate progress and interpretation of experimental results to technical and business stakeholders, and discover new ways to analyze and interpret data

Skills and Experience:

We are looking for a highly skilled and experienced individual with a strong background in machine learning and statistics. You should have a PhD or Master's degree in Computer Science, Engineering, Statistics, or a related field, and proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn).

You should also have experience with big data technologies, such as Hive and Spark, and a track record of leading the deployment and maintenance of models.

We Strive to Create an Inclusive Environment:

We strive to create an accessible and inclusive environment for all candidates. If you require any accommodations during the application process, please let us know.