Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous mathematics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Mathematics or related fields, e.g. Algebra, Calculus, Number theory, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

• Sumarse a nuestro proyecto de matching inteligente entre médicos y productos farmacéuticos • Evolución técnica: transición gradual hacia GenAI/LLMs • Valorar el criterio técnico y las propuestas de mejora • Trabajo 100% remoto desde Argentina

Role Description RDA is a digital transformation consultancy helping future-ready enterprises solve complex business challenges through AI, strategy, and customer experience. We’re expanding our data capabilities and seeking a Data Scientist to design and deliver machine learning solutions that drive measurable business impact. In this role, you’ll work closely with clients to explore data, build predictive models, and bring those solutions into production. You’ll operate at the intersection of hands-on development and client collaboration, contributing to both delivery and early-stage solutioning in a consulting environment. Location: Remote. We’re interested in candidates based in Eastern or Central Time Zones, as collaboration happens primarily during EST hours. What You’ll Do - Analyze client data to identify trends, correlations, anomalies, and predictive opportunities - Build, train, evaluate, and deploy machine learning models across a variety of use cases - Select appropriate statistical and ML approaches, experiment with alternatives, and optimize model performance - Prepare and process data for modeling, including cleaning, transformation, and feature engineering - Integrate ML solutions into client systems in partnership with engineering teams - Monitor models for drift, bias, and accuracy over time and adjust as needed - Present insights and recommendations to business stakeholders in a clear, compelling way - Participate in discovery sessions to understand client objectives and data landscapes - Support sales and pre-sales by helping scope machine learning opportunities - Collaborate with cross-functional RDA project teams throughout implementation cycles Qualifications - 3–8+ years of hands-on experience in machine learning (including model selection, training, tuning, evaluation, and deployment in production environments) - Strong Python Expertise with common ML libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch) - Solid foundation in statistical modeling and predictive analytics, including experience with data wrangling and feature engineering - Hands-on experience with Microsoft Azure ML Studio and Microsoft Fabric - Experience building and deploying ML solutions in cloud environments and working across diverse business domains - Bachelor’s degree in a related field or equivalent practical experience - Helpful skills include consulting background; data visualization experience; and LLM-based or AI agent solution experience Benefits - If you enjoy solving open-ended business problems with data and working directly with stakeholders to shape solutions, this role offers the opportunity to make a real impact. - You’ll work across a variety of domains, explore new datasets, and bring clarity to complex challenges, applying machine learning in ways that move ideas from concept into production.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous energy engineering problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. - 3+ years of professional energy engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.