Data Scientist (Remote - Mexico Only)

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

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Data Analysis & Modeling: Apply advanced statistical analysis and machine learning techniques to extract insights from large, complex datasets.

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Model Development: Design, develop, and deploy predictive models, optimization systems, and other machine learning products.

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Data Visualization: Create compelling visualizations to communicate findings to both technical and non-technical stakeholders.

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Collaboration: Work closely with data engineers and data architects to integrate models into production systems.

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Project Leadership: Lead end-to-end data science projects, ensuring alignment with business objectives and stakeholder requirements.

Requirements
Qualifications

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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.

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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.

Originally posted on Himalayas