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 skill

📌 Data Scientist (Pachuca de Soto)
🏢 Scalepex
📍 Pachuca de Soto