Staff Data Scientist, ML Systems Leader (Remote)

Devconnectplatform

United States

A distancia

USD 190.000 - 230.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Equity compensation
Unlimited PTO
Health benefits
ESPP
401k matching
Offsite retreats

Descripción de la vacante

Hims & Hers is seeking a Staff Data Scientist to lead the design and deployment of production ML systems. You will translate business questions into actionable ML roadmaps and own end-to-end model lifecycles, from data design to monitoring.

In this remote US-based role, you will mentor senior and mid-level data scientists, set technical standards, and collaborate with engineering, product, and analytics teams to deliver measurable business impact.

Formación

  • 8+ years of experience in Data Science or ML Engineering.
  • Proven production ML systems delivering measurable business impact.
  • Leadership and mentoring of Data Scientists.
  • CI/CD, ML Ops, and cloud production experience.
  • BS/MS/PhD in a quantitative field.

Responsabilidades

  • Architect and deploy automated ML systems from design to production.
  • Translate business questions into technical roadmaps with clear ROI.
  • Lead end-to-end model lifecycle and ensure reliability.
  • Collaborate with Eng, Product, and Analytics to align strategy.
  • Define technical standards and review designs for reproducibility.

Conocimientos

Python
SQL
Pandas
NumPy
scikit-learn
Leadership

Educación

BS/MS/PhD in quantitative field

Herramientas

PyTorch
XGBoost
LightGBM
AWS/GCP

Descripción del empleo

Hims & Hers is seeking a Staff Data Scientist to lead the design and deployment of production ML systems. You will translate business questions into actionable ML roadmaps and own end-to-end model lifecycles, from data design to monitoring.

In this remote US-based role, you will mentor senior and mid-level data scientists, set technical standards, and collaborate with engineering, product, and analytics teams to deliver measurable business impact.

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