Equip

Data Scientist II – Workforce Operations

Equip

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Salary

💰 $118,000 - $148,000 per year

Job Level

JuniorMid-Level

Tech Stack

NumpyPandasPythonScikit-LearnSQLTableau

About the role

  • Develop and deploy analytic models for workforce demand forecasting, resource optimization, and capacity planning.
  • Implement workforce allocation algorithms to optimize staffing and resource allocation.
  • Design and develop models/algorithms based on predictive/descriptive statistical modeling, machine learning, and LLMs/AI to glean insights from large datasets.
  • Continuously monitor and implement data quality processes to ensure accuracy, consistency, and reliability.
  • Clean, transform, and optimize data for analysis.
  • Utilize CI/CD pipelines and APIs to deploy models and algorithms to target environments.
  • Work with cross-functional teams to understand needs and identify how data science can support operational, workforce planning, and business goals.
  • Perform analyses, visualize data, and present data science work to stakeholders.
  • Perform other duties as assigned.

Requirements

  • Bachelors or Masters degree in statistics, data science, or related field.
  • 2-4+ years of demonstrated work experience in data science, machine learning, or statistics.
  • Strong theoretical and practical understanding of statistical analyses (e.g., hypothesis testing, regression, A/B testing), machine learning techniques (e.g., time series forecasting, supervised/unsupervised learning, etc.) and large language/AI models.
  • Proficient in Python (pandas, numpy, scikit-learn, etc.) and SQL for data extraction, modeling, preparation, analysis, and model building.
  • Experience in workforce optimization, workforce planning, or HR analytics.
  • Experience using data visualization software (e.g., Power BI, Tableau) for report creation and dashboard design.
  • Ability to write clear, maintainable, extensible, and testable code.
  • Experience with Git / GitHub.
  • Independent, organized, and solutions-driven.
  • Comfortable in a fast-paced environment that is subject to rapid change and innovation.
Benefits
  • Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays.
  • Competitive Medical, Dental, Vision, Life, and AD&D insurance.
  • Equip pays for a significant percentage of benefits premiums for individuals and families.
  • Maven, a company paid reproductive and family care benefit for all employees.
  • Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more!
  • $50/month stipend added directly to an employee’s paycheck to cover home internet expenses.
  • One-time work from home stipend of up to $500.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningstatistical modelingpredictive modelingdata cleaningdata transformationdata analysisworkforce optimizationcapacity planningresource allocation
Soft skills
independentorganizedsolutions-drivencommunicationcollaborationpresentation skillsadaptabilityproblem-solvingattention to detailcritical thinking