Senior Data Scientists at Brunner lead advanced analytics projects across multiple Brunner clients. They are also instrumental in contributing to the agency's R&D initiatives, where we apply cutting-edge approaches to maintain our best-in-class marketing services.

As a Senior Data Scientist, you work directly with internal teams and external clients to help those clients grow their businesses through optimized marketing. You accomplish this with your expertise in applied statistical techniques, high-quality production deployment, and effective communication. Your projects address a variety of marketing problems such as identifying best markets or customers, estimating, optimizing, and forecasting marketing campaign performance, processing unstructured data, and predicting behavior. Data management tasks include data acquisition from a variety of sources, ingestion, transformation, loading, and quality control.

You are adept across the full analytics project lifecycle, from requirements and scoping, through data acquisition and management, EDA, model fitting and selection, insight generation, communication to stakeholders, and deployment. You support the improvement of that project lifecycle by helping to create or develop proprietary software tools. Senior Data Scientists are trusted confidants of clients, internal leaders, and are responsible for project success.

Responsibilities

• Selecting features, building, and optimizing models using machine learning and AI
• Data mining
• Expanding and improving our data resources
• Processing, cleansing, and verifying the integrity of data used for analysis
• Developing clear and meaningful presentations with effective, audience-relevant visualizations
• Creating automated systems and tracking their performance
• Making critical contributions to the development of new, innovative tools and services
• Building client rapport and identifying new opportunities for engagements

Requirements

Skills and Qualifications

• In-depth, hands-on experience with commonly used modeling procedures including regression, classification, forecasting, and optimization
• Understanding of how to apply supervised and unsupervised machine learning algorithms, and regular self-improvement to update your knowledge
• Proficiency with Python, SQL, relational databases, and an IDE such as VS Code or PyCharm
• Proficiency in the application of AI tools (LLM prompts, agents, and coding extensions) to improve the efficiency and quality of your workflow
• Experience with data visualization tools such as Tableau, PowerBI, or related Python packages
• Ability to integrate code with REST APIs and external data sources; comfortable working with API documentation
• Preferred candidates will also have experience with:
  • Building and deploying data pipelines and ETL workflows
  • Processing unstructured data such as text or images
  • Cloud environments such as AWS, Azure, or Google Cloud
  • Version control systems such as GitHub

Education and Training

• 3 - 5 years of experience in a data science role
• Bachelor's or Master's degree in program with heavy emphasis on quantitative analysis or programming, such as analytics or data science, economics, physics, mathematics or statistics, computer science, engineering, or quant emphasis in social science (psychology, sociology, policy, etc.)

Perks

We offer your full traditional benefits including health, dental, vision, a 401k plan, and life insurance. We also offer commuter and transit benefits, as well as an employee wellness benefit for you to enjoy your life outside of work. Add to that unlimited PTO, half day summer Fridays and all the holiday time off you would expect.

Flexible Work Policy

It's simple - work where it's most convenient for you! We recognize that we're a mixed group of people with different priorities in our lives, so we empower our employees to create their ideal working scenario...in-office, at home, or a hybrid of both. Keep in mind you might need to pop into the office for a client meeting here and there, or even an agency-wide meeting.

Environmental Demands

Normal office environment. Ability to sit for extended periods of time including extensive use of PC equipment.