Lead Data Scientist

Marketing Architects

77d

About The Position

At Marketing Architects, we believe TV advertising is still the most powerful marketing channel. But the typical process for TV is expensive, difficult to scale and to measure. So we flipped the traditional approach on its head and rebuilt the agency model with the client in mind. Today, we're growing a team of talent from across the United States to reimagine how brands advertise on TV. You will lead a small, but mighty, team of data scientists to deliver high-impact machine learning systems and decision intelligence across the business. You’ll own the roadmap and partner with leaders to turn opportunities into deployed models and measurable outcomes. You’ll coach, hire, and develop talent while shaping our ML strategy, standards, and best practices.

Requirements

• 7–10+ years in data science/ML with 2–4+ years leading or managing data scientists (hiring, performance management, career growth).
• Proficiency in Python (pandas, NumPy, scikit-learn; plus PyTorch or TensorFlow), SQL, and model lifecycle from exploration to production.
• Hands-on with cloud (AWS/Azure/GCP), Databricks, MLflow, Docker; insight with feature stores, monitoring, and CI/CD.
• Deep comprehension of experimental design, metrics, causal methods, and interpreting real-world impact.
• Track record of scoping ambiguous problems, defining success metrics, and communicating trade-offs to execs.
• Demonstrated ability to set vision, build process, and foster an inclusive, high-performance team culture.
• Exposure to real-time inference, streaming data, or reinforcement learning.
• Domain comprehension in our industry; privacy/ethics frameworks for ML in production.

Responsibilities

• Manage, mentor, and recruit data scientists; set goals, coach, and build a culture of experimentation, speed-to-market, and innovation.
• Establish DS/ML best practices (code review, design docs, experiment hygiene, model cards, documentation).
• Translate company priorities into a quarterly DS roadmap; define problem framing, success metrics, and stage-gates from research to production.
• Prioritize initiatives via ROI, risk, and time-to-value; socialize trade-offs with stakeholders.
• Oversee development of supervised/unsupervised, NLP/CV, and forecasting models using Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL.
• Partner with MLE/Platform on MLOps (feature stores, MLflow, CI/CD, model monitoring, drift/decay, data quality SLAs).
• Ensure reliable deployment on cloud platforms (AWS/Azure/GCP), Databricks, Docker/Kubernetes.
• Champion data collection, labeling, and preprocessing standards; partner with Data Engineering on pipelines, observability, and lineage.
• Act as the primary Data Scientist point of contact for cross-functional leaders; communicate technical concepts in plain language; negotiate scope and timelines.

Benefits

• 100% employer-paid medical, dental and disability, with vision option
• Generous 401(k) matching
• Flexible paid time off, 9 paid holidays plus 2 floating holidays
• Paid parental leave (for birthing and non-birthing parents, including adoption)
• Annual office supply allowance, monthly internet stipend, and employer-paid cell phone
• Opportunities to connect virtually, and in-person twice a year with our fully remote team

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees