Senior Data Scientist (Applied ML) (Fully Remote)

Jobgether

United States

Remote

USD 140,000 - 190,000

Full time

35 hours ago
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Job summary

Jobgether is seeking a seasoned machine learning leader to drive end-to-end development, deployment, and optimization of advanced models for data-driven solutions. You will translate model outputs into business insights and design recommendation and ranking systems in a remote-first team.

You will mentor practitioners, influence architecture, and partner with stakeholders to ensure solutions deliver measurable business outcomes across a fast-growing organization.

Qualifications

  • Extensive hands-on experience with Databricks and MLflow.
  • Advanced proficiency in Python, SQL, and machine learning frameworks.
  • Strong software engineering fundamentals including CI/CD practices.

Responsibilities

  • Lead end-to-end development, deployment, and optimization of advanced machine learning models.
  • Translate predictive model outputs into actionable business insights.
  • Design and implement recommendation and ranking systems.

Skills

Databricks
MLflow
Python
SQL
ML frameworks
CI/CD

Tools

Databricks
MLflow

Job description

  • Lead the end-to-end development, deployment, and optimization of advanced machine learning models.
  • Translate predictive model outputs into actionable business insights.
  • Design and implement recommendation and ranking systems.

Technical Skills:

  • Extensive hands-on experience with Databricks and MLflow.
  • Advanced proficiency in Python, SQL, and machine learning frameworks.
  • Strong software engineering fundamentals including CI/CD practices.

Impact and Collaboration:

  • Own complex technical initiatives from problem definition to deployment.
  • Act as a technical leader by mentoring practitioners and influencing architecture.
  • Partner with stakeholders to ensure solutions deliver measurable business outcomes.
Jobgether

This company is hiring through Jobgether for a partner organization focused on data-driven solutions. It is a remote-first team with a collaborative culture, offering competitive benefits and opportunities for professional growth.

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