Data Scientist

Company: Emplea.pe

Location: Los Angeles County, CA (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-09-19

About this role

Data Scientist

Location:
United States

Job Type:
Full-Time

Experience Level:
Entry-Level / Associate

Job Overview

We are seeking a motivated and analytical
Data Scientist
to help transform business data into meaningful insights and practical solutions. This role will support data analysis, statistical modeling, machine learning, experimentation, and data visualization to help teams make informed decisions.

The ideal candidate has a strong foundation in statistics, programming, and data analysis, along with an interest in solving business problems through data. This position is suitable for candidates with academic projects, internships, research experience, or early professional experience in data science, analytics, mathematics, statistics, or computer science.

Key Responsibilities

  • Collect, clean, and prepare structured and unstructured data for analysis.
  • Analyze large datasets to identify trends, patterns, and relationships.
  • Develop statistical models and machine learning solutions for business problems.
  • Perform exploratory data analysis and communicate key findings.
  • Build and evaluate predictive models using appropriate techniques.
  • Create data visualizations, dashboards, and reports to communicate insights.
  • Use Python, SQL, and other analytical tools to process and analyze data.
  • Work with cross-functional teams to understand business and analytical requirements.
  • Design and analyze experiments and A/B tests when applicable.
  • Evaluate model performance and identify opportunities for improvement.
  • Document analytical methodologies, assumptions, findings, and results.
  • Assist with feature engineering, model validation, and data preparation.
  • Monitor data quality and identify potential data issues.
  • Translate analytical findings into clear business recommendations and presentations.
  • Support the development and improvement of data pipelines and analytical workflows.
  • Research new data-science techniques, tools, and tech...

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