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Scalepex

Data Scientist (Remote - Mexico Only)

Work from home

Remote role where the employee must remain based in a particular country.

Mexico only

Employer listed it 16 months ago · Added today

Been open since 16 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

Not stated

Location

Mexico only

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Data

This employer didn't state pay. Jobs like this usually pay around $110k–$200k a year, a typical range taken from 226 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in Mexico. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Mexico"

What Nomaders makes of it

  • Residency required in Mexico
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

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

Requirements

  • ·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).

Benefits

  • ·Contractor scheme.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Scalepex, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 19h ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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