Data Scientist (Applied Marketing) (Contract)

Key Skills

Analytical and Problem solving, AWS, Azure, Docker, Google Cloud Platform (GCP), Python Programming, TensorFlow

Job Description

We are seeking a Data Scientist who can contribute to our growing practice by collaborating in a team environment, developing new solutions to common business problems, and advocating for data-driven approaches throughout the company. The ideal candidate would be highly adaptable to new areas of domain knowledge and have a natural curiosity for what patterns and pain points connect the business world. This candidate would have the ability to develop various types of models from ideation to deployment while maintaining a focus on activation and client goals.

Role and Responsibilities

• Use critical thinking and creative problem solving skills, leveraging digital marketing expertise to translate high-level business objectives into short and long term solutions around customer segmentation, attribution modeling, and personalization
• Produce model-driven solutions in various platforms for a wide range of business problems and industries using best-practice techniques in regression and classification while demonstrating a connection to marketing strategy principles
• Collaborate with internal marketing, design and strategy teams to define and execute cross-functional solutions, driving meaningful activation in digital marketing platforms with measurable impact for clients 
• Work closely with clients to identify and elevate opportunities for data-driven solutions improving digital maturity in audience targeting and personalization.
• Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly
• Aggregate and analyze disparate datasets, including web analytics, customer, and marketing data to draw conclusions and deliver actionable insight
• Pragmatically decide between developing custom modeling frameworks vs implementing out-of-the-box solutions dependent on business needs
• Contribute to a highly collaborative data science team with brainstorming, peer reviews, and knowledge transfer to increase consistency of deliverables and repeatability of solutions 
• Follow developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand

Preferred Qualifications

• 5+ years experience in digital marketing consulting, with at least 1 year applying machine learning algorithms for clients
• OR 3+ years hands on machine learning experience in a consulting environment 
• Bachelor’s degree demonstrating skills in quantitative and scientific methods such as math, statistics, natural sciences, finance, social sciences; 
• Depth of knowledge in either GMP or Adobe marketing ecosystems and use cases (Paid/Social, Email, CRO, etc.)
• Demonstrates advanced SQL skills (partitioning, nesting, regex, etc.)
• Demonstrates high level of proficiency in Python, and at least one data science toolkit (Sklearn, Tensorflow, etc.)
• Experience working with web analytics data a plus (Google, Adobe)
• Experience with cloud computing platforms and data warehousing a plus
 (GCP, AWS or Azure)

We invite you to subscribe to our monthly and quarterly newsletters to stay up to date with the latest job openings as well as resources and tips for job seekers here.

Research shows that women and other underrepresented groups apply only if they meet 100% of the criteria of a job posting. If you have passion and intelligence, and possess a technical knack (even if you’re missing some of the above), we encourage you to apply.

Bounteous is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.

In addition, you have the opportunity to participate in several Team Member Networks, sometimes referred to as employee resource groups (ERGs), that host space with individuals with shared identities, interests, and passions. Our Team Member Networks celebrate communities of color, life as a working parent or caregiver, the 2SLGBTQIA+ community, wellbeing, and more. Regardless of your respective identity, there are various avenues we involve team members in the Bounteous community.

Bounteous is willing to sponsor eligible candidates for employment visas.