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. 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. • Contractor scheme. • 100% remote.