Data Scientist

Evolvice is a nearshore technology services provider that helps businesses scale, innovate, and enhance efficiency. Since 2012, we’ve been developing software solutions and building high-performing remote teams. Today, we focus on integrating AI into business processes and providing IT and security support to drive digital transformation. Originally based in Germany, we have established development hubs in Egypt, Ukraine, and Portugal and offices in Saudi Arabia. This international presence enables us to deliver high-quality, cost-effective solutions worldwide. Our Services: * Nearshore Teams – Build and scale remote teams of any size with expert engineers. * AI-Powered Business Productivity – Leverage AI-driven software solutions to boost efficiency. * Cybersecurity – Safeguard your business with advanced security assessments and services. * Managed IT & Application Support – Ensure seamless operations with proactive IT management and support. We’re proud to work with industry leaders like Bosch, Douglas, WTS, DHL, Tatweer, and GOSI, and many others. Combining German precision with nearshore agility, we provide secure, scalable, and cost-effective IT solutions tailored to your business needs**.** Now we are looking for a Data Scintist for our client. **Key Responsibilities:** * Develop and implement **Machine Learning and AI models** for business use cases, including: * Regression models * Classification models * Clustering models * Predictive analytics models * Build and optimize **deep learning models** to solve complex data problems and improve decision-making. * Develop and integrate **LLM-based summarization solutions** using **HyperGPT** to support automated insights and reporting. * Work on **HyperForecast integration** to support forecasting, trend analysis, and predictive planning. * Deploy machine learning models into **production environments**, ensuring scalability, reliability, and performance. * Collaborate with data engineers, BI developers, and business stakeholders to transform business requirements into analytical models and AI-driven solutions. * Integrate predictive model outputs into **Power BI dashboards** to enable advanced reporting and data-driven decision-making. * Monitor model performance, validate outputs, and continuously improve model accuracy and efficiency. * Prepare technical documentation for models, methodologies, assumptions, and deployment processes. **Required Qualifications:** * Minimum **4+ years of experience** in Data Science, Machine Learning, AI, or related fields. * Strong experience in developing ML models, including: * Regression * Classification * Clustering * Forecasting models * Hands-on experience with **deep learning frameworks** and AI model development. * Experience working with **LLMs** and text summarization use cases. * Experience with **HyperGPT** or similar AI/LLM platforms is preferred. * Experience with forecasting tools or platforms, especially **HyperForecast**, is preferred. * Strong knowledge of model deployment, productionization, and model lifecycle management. * Good understanding of data preprocessing, feature engineering, model evaluation, and performance optimization. * Experience integrating model outputs with **Power BI dashboards** or business intelligence tools. * Strong analytical thinking, problem-solving skills, and ability to communicate technical insights to non-technical stakeholders. **Preferred Technical Skills:** * Python * Machine Learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar * SQL * Data visualization and dashboard integration * Power BI * LLM-based analytics and summarization * Forecasting and predictive modeling * Model deployment and monitoring