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Data Scientist (Remote - Mexico Only)

๐Ÿ“… May 27, 2025
Data ScienceStatistical AnalysisMachine LearningPython
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๐Ÿ“œ Description

  • Analyze large, complex datasets using statistical methods and machine learning.
  • Design, develop, and deploy predictive models, optimization systems, and other machine learning products.
  • Create visualizations to communicate findings to technical and non-technical stakeholders.
  • Collaborate with data engineers and architects to integrate models into production systems.
  • Lead end-to-end data science projects aligned with business objectives and stakeholder needs.

๐Ÿ› ๏ธ Requirements

  • Experience: Minimum of 3 years of hands-on experience as a Data Scientist or Data Analyst.
  • Education: Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. A Master's degree or advanced certification is preferred.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with big data processing tools like Spark or Hadoop.
  • Knowledge of Natural Language Processing (NLP) techniques.
  • Experience in deploying machine learning models using platforms like Databricks or MLflow.

โœจ Benefits

  • Contractor scheme.
  • 100% remote.
Full job description

About Scalepex

Scalepex is a dynamic services firm specializing in providing nearshore solutions for premium brands like Nike, Pepsi, Toyota, Virgin, and Walgreens. Our mission is to connect prominent market leaders with top-tier professionals from around the world, fostering collaboration, efficiency, and growth.

Role Overview

As a Data Scientist at Scalepex, you will play a pivotal role in analyzing complex datasets to derive actionable insights that drive business decisions. You will collaborate with cross-functional teams to develop and deploy machine learning models, ensuring data-driven strategies align with client objectives in a fully remote environment.

Key Responsibilities

  • Data Analysis & Modeling: Apply advanced statistical analysis and machine learning techniques to extract insights from large, complex datasets.
  • Model Development: Design, develop, and deploy predictive models, optimization systems, and other machine learning products.
  • Data Visualization: Create compelling visualizations to communicate findings to both technical and non-technical stakeholders.
  • Collaboration: Work closely with data engineers and data architects to integrate models into production systems.
  • Project Leadership: Lead end-to-end data science projects, ensuring alignment with business objectives and stakeholder requirements.

Requirements

Qualifications

  • Experience: Minimum of 3 years of hands-on experience as a Data Scientist or Data Analyst.
  • Technical Skills:
    • Proficient in programming languages such as Python and/or R.
    • Experience with SQL and relational databases.
    • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
    • Experience with data visualization tools like Power BI or Tableau.
  • Education: Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. A Master's degree or advanced certification is preferred.
  • Soft Skills:
    • Strong problem-solving and analytical skills.
    • Excellent communication skills in English.
    • Ability to work independently in a remote setting.

Preferred Qualifications

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with big data processing tools like Spark or Hadoop.
  • Knowledge of Natural Language Processing (NLP) techniques.
  • Experience in deploying machine learning models using platforms like Databricks or MLflow.

Benefits

  • Contractor scheme.
  • 100% remote.
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