Sr. Data Scientist
About The Position
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.
Requirements
- 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
- 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.)
Nice To Haves
- 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
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
Benefits
- health, dental, vision, a 401k plan, and life insurance
- commuter and transit benefits
- employee wellness benefit
- unlimited PTO
- half day summer Fridays
- all the holiday time off you would expect
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What This Job Offers
Job Type
Full-time
Career Level
Senior
