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Staff Data Scientist

5 months, 1 week ago
United States, Canada
Full-time
Lead
Data Scientist
Data Science and Analytics
AWS GCP Machine Learning Python R SageMaker SQL Vertex AI
Apply Now
CSC Generation

CSC Generation

CSC Generation is an AI native retail holding entity that revitalizes iconic brands through the use of data, automation, and its Genesis platform to shape the future of commerce in the age of artificial general intelligence.

Internet Software & Services
251-1K
Founded 2016
View All Jobs 22

Description

  • Lead the design and development of ML systems that solve complex, ambiguous business problems.
  • Make technical decisions on model architecture, evaluation methodology, and tradeoffs.
  • Set standards for model validation, testing, and monitoring across the team.
  • Debug and troubleshoot models that fail in production and diagnose root causes.
  • Frame business problems as well-defined machine learning tasks with clear success criteria.
  • Build predictive models for classification, regression, time series, and causal inference use cases.
  • Implement rigorous train/validation/test methodology to support real-world generalization.
  • Identify and prevent data leakage, overfitting, and other failure modes before production.
  • Define metrics that align model performance with business outcomes.
  • Design and analyze experiments to measure causal impact.
  • Communicate model limitations, uncertainty, and risk to technical and non-technical stakeholders.
  • Partner with product, engineering, and business teams to ensure ML solutions address real problems.
  • Translate complex technical concepts into actionable recommendations.
  • Contribute to hiring and technical interviews.

Requirements

  • MS in a quantitative field such as Statistics, Computer Science, Operations Research, or a related discipline.
  • 7+ years of applied machine learning or data science experience.
  • Expert-level proficiency in Python or R, and SQL.
  • Familiarity with cloud data and ML platforms such as GCP/Vertex AI or AWS/SageMaker.
  • Proven track record of building production ML systems that delivered measurable business impact.
  • Deep understanding of model evaluation methodology, experimental design, and causal inference.
  • Ability to work with messy, incomplete, real-world data and make pragmatic tradeoffs.
  • Strong communication and influence skills.
  • Self-directed and autonomous work style.
  • Hands-on experience in e-commerce retail and pricing is preferred.
  • PhD in a quantitative field is preferred.
  • Track record of mentoring junior data scientists and leading technical projects is preferred.

Benefits

  • Remote role open to candidates in the US and Canada.
  • Preference for candidates near hubs in Northwest Indiana, Austin, Texas, and Toronto, Ontario.
  • Equal employment opportunity and anti-discrimination protections.
  • Reasonable accommodations available for qualified individuals with disabilities.
  • Human-led final hiring decisions, with AI used only to support parts of the hiring process.

Interested in this position?

Apply directly on the company website

Apply Now

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