Key Facts

Remote From:

Mexico

Full time

Mid-level (2-5 years)

English

Hard Skills

Other Skills

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Communication
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Analytical Skills
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Teamwork
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Problem Solving

Roles & Responsibilities

Minimum 3 years of hands-on experience as a Data Scientist or Data Analyst.
Proficient in Python and/or R, with experience in SQL and relational databases.
Familiar with ML frameworks (TensorFlow, PyTorch, scikit-learn) and data visualization tools like Power BI or Tableau.
Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field; Master’s degree or advanced certification preferred; strong problem-solving, excellent English communication, and ability to work remotely.

Requirements:

Analyze complex datasets to derive actionable insights for business decisions.
Design, develop, and deploy predictive models and other machine learning products.
Create compelling visualizations to communicate findings to technical and non-technical stakeholders.
Collaborate with data engineers and data architects to integrate models into production systems and lead end-to-end data science projects.

Scalepex

Professional Services

About Scalepex

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 type: Scaleup

Industry: Professional Services

Founded: 2018

Company size: 51 - 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