Senior Data Scientist (Mailchimp)

Key Skills

Algorithms, AWS, Cloud computing, Data Analytics, Data Modeling, Data science techniques, Effective communication skills, Google Cloud Platform (GCP), Keras software library, Machine learning techniques, Mentoring, NumPy, Optimization, Pandas, Python Programming, R Programming, SciPy, SQL, Statistical modeling, TensorFlow

Job Description

Mailchimp is the world's leading email marketing service. More than 15 million people and businesses use Mailchimp to design and send 1 billion emails a day. We empower small businesses with a suite of powerful and easy-to-use email, marketing automation, and analytics tools that integrate with hundreds of popular applications and services.

Now as part of Intuit’s Small Business Self-Employed group Mailchimp joins together with Quickbooks to help small businesses overcome their most important financial challenges. Serving more than 100 million customers worldwide, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Our Team

The Data Science team drives user growth and retention using product insights and marketing optimization for Mailchimp’s customers. We are an exciting, growing and fun team that works with industry-leading tools, techniques and best practices. We analyze millions of data points a day to make predictions, recommendations, automations, and differentiated experiences for our customers. We use cutting-edge machine learning models, advanced natural language processing and image processing to solve customer problems. Our data-driven tools help small businesses improve targeting and boost marketing and revenue using smart recommendations, create on-brand content, reach the right audience, and improve campaign performance. We’re a close knit group of 20+ Data Scientists where you’ll be recognized for your individual contributions to innovation and creative solutions. Yet, we find the best solutions come when we collaborate to solve them together. We bring equal rigor to our algorithmic prowess as our pie baking, ping pong, or pool games. As a member of our team you will be encouraged to bring your whole self to work and we value every idea and opinion.

Qualifications

• 3+ years experience working on data science projects or applications at scale
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Willingness and ability to adapt to the rapid business and organizational changes that accompany a high-growth environment
• Thrive on ambiguity and will enjoy frequent pivoting that is part of the exploration
• MSc or PhD in a relevant field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research), or equivalent research experience from the industry
• Expertise in Data Mining algorithms and Statistical Modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, sequential pattern discovery, or text mining
• Well versed in Data Science languages, tools, and frameworks, including data processing platforms and distributed computing systems (for example Python, R, SQL, SkLearn, Numpy, Pandas, TensorFlow, Keras)
• Strong experience with Cloud platforms (Google Cloud, AWS...)
• Ability to communicate methods and results of analyses

Bonus Points If You Have

• A unique background or expertise that gives you perspective into marketing, customer service, surveys, or design
• Experience with modeling in Ads Data Hub
• Experience with Twilio Segment

Responsibilities

As a Senior Data Scientist, you will dive deep into our customers marketing tactics to uncover actionable insights and make recommendations that will help our small business customers win. This position works alongside ML-Engineers, Product Management, Front-end Engineers, Analytics, and Strategy to deliver competitive business results and grow our customer base for our products.

The Data Science team builds applications that make sense of the data created by Mailchimp’s millions of users. The ideal candidate is a self-directed, experienced data scientist who believes in demonstrating how data can be used to help our customers.

• Lead and collaborate with multiple teams to accelerate model implementation driving product outcomes.
• Use Advanced Python skills to perform data segmentation and aggregation from scratch; leveraging relevant experience working with granular web clickstream data.
• Develop personalized customer recommendations driving models including marketing plan forecasting and optimization.
• Develop behavioral propensity models aimed at optimizing users journey toward optimum outcomes for their business and Mailchimp as a whole.
• Develop models to optimize the path to conversion for prospects taking into consideration the changing privacy landscape.
• Formulate revenue models to measure the impact of our efforts on revenue outcomes.
• Work to improve quality and mitigate bias in Mailchimp data systems
• Provide technical mentorship and guidance for team members.