Hands-on Data Science Team Lead — Build & Mentor US Team

Archer

Denver (CO)

On-site

USD 180,000 - 230,000

Full time

17 hours ago
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Job summary

Archer, in partnership with Bet365, seeks a Data Science Team Leader to shape and lead the US Data Science capability in Denver. You will remain deeply technical, writing code, building models, and executing ML solutions while mentoring a growing team of US‑based Data Scientists and ML Engineers.

We value a startup mindset: pragmatic problem-solving, rapid iteration, and strong execution. You will partner with the US Data Team Lead, Data Product Lead, and AgentOps Team Lead while aligning with

Qualifications

  • Proven experience leading data science teams in fast-paced environments.
  • Hands-on data scientist who writes code and builds models.
  • Experience deploying ML models in production.
  • Strong communication with cross-functional teams.
  • Expertise in Python and data science libraries (Scikit-learn, Pandas, NumPy, XGBoost).
  • Advanced SQL skills, ideally with BigQuery.
  • Hands-on GCP experience including Vertex AI.
  • Educational background MSc/PhD or equivalent industry experience.
  • Familiarity with Docker, Kubernetes, and CI/CD for ML.
  • Experience with real-time streaming or event-driven architectures (Kafka).

Responsibilities

  • In this hands-on role you will devise, code, and deploy AI, machine learning and predictive solutions.
  • Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers.
  • Partnering closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities.
  • Collaborating regularly with our UK-based Data Science team of technical excellence to share methodology, align on standards, and leverage global technical capabilities.
  • Translating complex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles.
  • Collaborating with Machine Learning Engineers to champion the adoption of robust MLOps practices on our Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable.
  • Establishing data science workflows, standards, and code repositories from scratch in a new regional office.

Skills

Python
SQL
BigQuery
GCP
Vertex AI
MLOps
Docker
Kubernetes
Machine Learning
Production deployment

Education

MSc or PhD in a quantitative discipline

Tools

Git

Job description

Archer, in partnership with Bet365, seeks a Data Science Team Leader to shape and lead the US Data Science capability in Denver. You will remain deeply technical, writing code, building models, and executing ML solutions while mentoring a growing team of US‑based Data Scientists and ML Engineers.

We value a startup mindset: pragmatic problem-solving, rapid iteration, and strong execution. You will partner with the US Data Team Lead, Data Product Lead, and AgentOps Team Lead while aligning with

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