Staff Data Scientist
CSC Generation
full-time
Posted on:
Location Type: Remote
Location: Arizona • Florida • United States
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Job Level
Tech Stack
About the role
- Lead the design and development of ML systems that solve complex, ambiguous business problems
- Make sound technical decisions on model architecture, evaluation methodology, and tradeoffs
- Set standards for model validation, testing, and monitoring across the team
- Identify when "good enough" is appropriate vs. when deeper investment is warranted
- Debug and troubleshoot models that fail in production - understand why they fail, not just that they fail
- Frame business problems as well-defined ML tasks with clear success criteria
- Build robust predictive models (classification, regression, time series, causal inference)
- Implement rigorous train/validation/test methodology to ensure real-world generalization
- Identify and prevent data leakage, overfitting, and other failure modes before they reach production
- Define metrics that align model performance with actual business outcomes
- Conduct holdout testing on true out-of-sample data - recognize when CV metrics are misleading
- 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 solve real problems
- Translate complex technical concepts into actionable recommendations for stakeholders
- Contribute to hiring and technical interviews
Requirements
- MS in a quantitative field (Statistics, Computer Science, Operations Research or related discipline)
- 7+ years applied ML / data science experience
- Expert-level proficiency in Python / R, and SQL
- Familiarity with cloud data & ML platforms (GCP/Vertex AI, 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.
- Hands-on experience in e-commerce retail and pricing (preferred)
- PhD in a quantitative field (preferred)
Benefits
- The CSC family of brands provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, provincial, state or local laws.
- The CSC family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please contact hrbenefits@cscshared.com.
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Stock options
- Wellness programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningmodel architecturemodel validationpredictive modelingclassificationregressiontime seriescausal inferencetrain/validation/test methodologydata leakage prevention
Soft Skills
communicationinfluenceself-directedautonomousproblem-solvingtechnical decision-makingstakeholder engagementcollaborationpragmatic tradeoffsexperiment design
Certifications
MS in quantitative fieldPhD in quantitative field