Team Lead, Data Science

Awake Solutions; United States; Hybrid; USD 140,000 - 220,000; Full time

Benefits offered by this job

Equity

Research budget

Conference support

Learning & mentorship programs

Remote or hybrid work

Job summary

Awake Solutions is seeking a lead data science role to guide a team from research through production deployment. You will shape technical direction, evaluation methods, and reproducible pipelines while mentoring researchers and ensuring measurable product impact.

Ideal candidates bring 5+ years in data science, strong ML fundamentals, and experience with Python ML tools. Remote or hybrid work with equity and growth opportunities are provided.

Qualifications

• Minimum five years in data science or ML with production-model experience.
• Strong statistical and ML fundamentals are required.
• Hands-on with Python ML tools such as scikit-learn, PyTorch or TensorFlow.
• Familiar with MLOps and cloud infrastructure for serving and monitoring.
• Demonstrated leadership and ability to explain trade-offs to stakeholders.

Responsibilities

• Oversee ML projects from research to production release.
• Establish evaluation and monitoring for model performance and drift.
• Collaborate with engineers to build reproducible pipelines and infra.
• Mentor data scientists and foster a research-driven, impact-focused team.
• Design experiments to measure effects on product metrics.

Skills

Leadership

ML fundamentals

Python ML tools

MLOps / cloud

Communication

Tools

scikit-learn

PyTorch

TensorFlow

Job description

Role overview

Lead a data science team from early research and experimentation through production deployment, with a focus on models that have measurable product impact. You’ll guide technical direction and team development while strengthening how models are evaluated, deployed, monitored, and reproduced.

Responsibilities

• Oversee machine learning projects across research, prototyping, testing, and production release.
• Establish evaluation pipelines and practices for monitoring model performance and detecting drift.
• Work with engineering partners to build reproducible model pipelines and production infrastructure.
• Mentor data scientists and develop a research-oriented, impact-focused team.
• Set up experiments and measurement approaches to assess effects on product metrics.

Requirements

• At least five years of data science or machine learning experience, including models shipped to production.
• Strong statistical and machine learning fundamentals.
• Practical experience with Python machine learning tools such as scikit-learn, PyTorch, or TensorFlow.
• Familiarity with MLOps tools and cloud infrastructure for model serving and monitoring.
• Leadership experience and the ability to explain technical trade-offs to stakeholders.

Benefits and work setup

Full-time, with global remote or hybrid options. The role offers salary and equity, a dedicated research and compute budget, conference and publication support, and learning and mentorship programs.