Question
Full-time
2-5

Data scientist

2/1/2026

The primary responsibility is to extract meaningful insights from complex and unstructured data to solve business problems. This includes informing strategic decisions and driving innovation through advanced data science methodologies.

Working Hours

40 hours/week

Company Size

11-50 employees

Language

English

Visa Sponsorship

No

About The Company
Jobs for Humanity paves the way to a fairer future for all by connecting historically underrepresented talent to welcoming employers. Through the combination of cutting-edge recruiting technology and expert D&I consultation, Jobs for Humanity makes inclusive hiring seamless, scalable, and sustainable. For more information on how to volunteer, or to partner and collaborate with Jobs For Humanity, visit our website - www.jobsforhumanity.com
About the Role

Company Description

Jobs for Humanity is collaborating with Company to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.

Company Name: Company

Job Description

We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. In this role, you will leverage advanced analytical techniques to transform complex data into actionable insights that drive business growth and innovation. The ideal candidate will possess a strong foundation in statistical methods, machine learning, and programming, combined with the ability to communicate complex findings to diverse stakeholders.

Job Purpose

The primary purpose of this role is to extract meaningful insights from complex and unstructured data to solve critical business problems, inform strategic decision-making, and drive innovation through the application of advanced data science methodologies.

Job Duties and Responsibilities
  • Extract meaningful insights from complex and unstructured data
  • Solve business problems using data-driven approaches
  • Inform strategic decisions through data analysis and interpretation
  • Drive innovation by applying advanced analytical techniques
  • Effectively communicate technical findings to non-technical stakeholders
  • Statistical analysis and modeling
  • Machine learning algorithm development and implementation
  • Data wrangling and preprocessing
  • Data visualization and reporting
  • Company: Company
  • Key Skills
    Data AnalysisStatistical MethodsMachine LearningProgrammingData VisualizationData WranglingPreprocessingCommunication
    Categories
    Data & AnalyticsTechnology
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