Hiring.Camp

Remote Data Scientist

Eis Group Usa

·

Today

Salary
$70 – $90
Location
Los Angeles
Type
Full-time
Department
Education
Experience
2+ years
Education
Master
Visa
Not sponsored
Closing date
Today
Source
CareersPage

Description

Senior Data Scientist — Remote

Department: Data Science & Analytics
Employment Type: Full-Time
Location: Remote — United States
Pay: $70–$90/hour

Job Description

We are seeking an experienced Senior Data Scientist to join our Data Science & Analytics team. The successful candidate will use advanced analytics, statistical modeling, machine learning, and data-driven insights to support business decisions and solve complex organizational problems.

Key Responsibilities

  • Develop and implement statistical and machine-learning models.
  • Analyze large and complex datasets to identify trends and business opportunities.
  • Build predictive models and data-driven solutions.
  • Collaborate with engineering, product, business, and leadership teams.
  • Present analytical findings and recommendations to technical and non-technical stakeholders.
  • Design dashboards, reports, and data visualizations when required.
  • Ensure data quality, accuracy, and reliability.
  • Mentor junior data scientists and contribute to best practices.

Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • 2+ years of professional experience in data science, analytics, or a related discipline.
  • Strong proficiency in Python, SQL, and data-science libraries/tools.
  • Experience with machine learning, statistical modeling, and data visualization.
  • Strong analytical, communication, and problem-solving skills.
  • Experience working with cloud-based data platforms is preferred.

Remote Work & U.S. Work Authorization Requirement

This is a 100% remote position, but the selected candidate must be physically located within the United States. Candidates residing outside the United States are not eligible for this position.

Candidates must be legally authorized to work in the United States. The company will verify employment eligibility as required by applicable U.S. employment laws.

Skills

PythonSQLMachine LearningData Science

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