Remote Data Scientist — ML & Analytics Impact

Tailored Brands, Inc.

Dublin (CA)

On-site

USD 81,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Prescription drug coverage
401k retirement plan
Life insurance
Disability insurance
Paid time off
Sick leave
Vacation (80 hours/year)
Bereavement leave
Jury duty pay
Holidays (9 days/year)
Wellbeing program
Commuter benefits
Adoption assistance
Legal services
Employee merchandise discounts

Job summary

Tailored Brands, Inc. seeks a Data Scientist — Machine Learning to join the Enterprise Analytics team. You will work with stakeholders across the organization to deliver ML-powered insights and analytics, guiding data-driven decisions with advanced modeling and robust data pipelines.

You will build and deploy models, develop metrics, and present analyses to executives, helping shape strategic directions and daily tactical decisions across the company.

Qualifications

  • Bachelor’s or Master’s in a quantitative field with relevant work experience.
  • Proficiency in Python and/or R for statistics and ML.
  • Strong SQL and data pipeline skills for data wrangling and modeling.
  • Knowledge of MLOps, data warehousing, data modeling, and data architecture.

Responsibilities

  • Collaborate with Data Scientists and Data Engineers to build ML and statistical models.
  • Develop code in Vertex.ai for model training, deployment, and integration.
  • Design data-driven decision processes and measurement strategies.
  • Create metrics and dashboards for executives to communicate findings.
  • Provide actionable recommendations to support business objectives.
  • Present analysis results to team and management clearly.

Skills

Statistics
Machine Learning
Python
SQL
MLOps
Power BI
Tableau

Education

Bachelor's degree in Statistics/Data Science
Master's degree in applied Statistics/Data Science/Business Analytics

Tools

Vertex.ai
Power BI
Tableau

Job description

Tailored Brands, Inc. seeks a Data Scientist — Machine Learning to join the Enterprise Analytics team. You will work with stakeholders across the organization to deliver ML-powered insights and analytics, guiding data-driven decisions with advanced modeling and robust data pipelines.

You will build and deploy models, develop metrics, and present analyses to executives, helping shape strategic directions and daily tactical decisions across the company.

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