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Data Scientist (Remote - Mexico Only)

Role overview

Qualifications

  • Minimum 3 years of hands-on experience as a Data Scientist or Data Analyst.
  • Proficiency in Python and/or R with strong SQL and relational database experience; familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or related field; Master's degree or advanced certification preferred.
  • Strong problem-solving and analytical skills with excellent English communication; ability to work independently in a remote setting.

Responsibilities

  • Analyze complex datasets using statistics and machine learning to derive actionable insights.
  • Design, develop, and deploy predictive models and ML products; build optimization systems.
  • Create data visualizations to communicate findings to technical and non-technical stakeholders.
  • Collaborate with data engineers and data architects to productionize models and lead end-to-end data science projects aligned with business objectives.

About the company

Scalepex logo

Scalepex

Professional Services

Business growth and sustainment are top priorities, combine that with the ongoing need to curb costs and you have treacherous challenges. Scalepex provides individualized, high-touch support to our clients to meet their unique needs.We seek to understand where your strengths and gaps are and design a solution with you and iterate as we move forward to keep up with the ever-changing landscape. If you are looking for a firm that fills this void in the marketplace, you’ve come to the right place.Our social responsibility is to touch the untapped markets and people of underserved communities.

Company details

Company typeScaleup
IndustryProfessional Services
Company size51 - 200

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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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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