Senior Data Scientist: ML Leader & Mentor (Remote)

artefactlinkedin

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Remote-first arrangement
Meal and transportation benefits
Gympass and life, health, and dental保险
Woba coworking credits
In-person Get Together gatherings

Job summary

artefactlinkedin is seeking a Senior Data Scientist for a remote-first, globally distributed team. You will design, implement, and productionize ML models, while mentoring junior scientists and guiding technical direction across the data lifecycle.

Work alongside analysts, product managers, and engineering teams to frame business problems as data science problems and ensure the work delivers measurable value.

Qualifications

  • Degree in Computer Science, Statistics, Engineering, Economics, or another quantitative field.
  • Strong Python for data science (pandas, NumPy, scikit-learn, PySpark).
  • Hands-on experience with at least one major cloud platform (GCP, AWS, Azure, or Databricks) and familiarity with warehousing solutions like PostgreSQL, SQL Server, BigQuery, or Snowflake.
  • Practical experience applying supervised models (e.g., XGBoost, logistic regression) and unsupervised approaches such as clustering.
  • Working knowledge of MLOps tooling (Databricks, MLflow, SageMaker, or Vertex AI) plus Git-based version control on GitHub, Azure DevOps, or GitLab.
  • Strong communication, mentoring capability, problem-solving skills, curiosity, collaboration, and an entrepreneurial mindset, with fluent English for an international setting.

Responsibilities

  • Design, develop, and deploy end-to-end machine learning models, spanning data acquisition, feature engineering, and production monitoring.
  • Work alongside analysts, product managers, and engineering teams to frame business problems as data science problems and ensure the work delivers measurable value.
  • Build and refine complex features from large datasets to improve model accuracy and business outcomes.
  • Define dataset requirements that uphold data quality and integrity for analytics and modeling.
  • Monitor and troubleshoot live models, addressing concept drift, quality degradation, and performance issues.
  • Provide technical leadership in statistical modeling, machine learning, and advanced analytics across the team.
  • Mentor and coach junior data scientists and analysts through code reviews, design sessions, and knowledge sharing.

Skills

Python for data science
Mentoring & leadership
Data storytelling & communication

Education

Bachelor's degree in a quantitative field

Tools

Cloud platforms (GCP/AWS/Azure)
Databricks
MLflow
Git & CI/CD (GitHub/Azure DevOps/GitLab)

Job description

artefactlinkedin is seeking a Senior Data Scientist for a remote-first, globally distributed team. You will design, implement, and productionize ML models, while mentoring junior scientists and guiding technical direction across the data lifecycle.

Work alongside analysts, product managers, and engineering teams to frame business problems as data science problems and ensure the work delivers measurable value.

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