• 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.

Job DetailsJob Location: Remote - United States - United States, CA 00000Position Type: Full TimeEducation Level: 4 Year DegreeSalary Range: $152,000.00 - $180,000.00 SalaryTravel Percentage: Up to 10%Job Shift: AnyJob Category: Data TITLE: Senior Data Scientist DEPARTMENT: Product & Data REPORTS TO: Director of Data WHO WE ARE: Founded in 2013, Thistle is a food-tech startup empowering our customers to get and stay healthy while improving the sustainability of our food system. We make delicious, ready-to-eat plant-forward meals, snacks, and juices delivered right to our customers’ doorsteps. Our convenient subscription service empowers customers to improve their personal and planetary health by incorporating more plants into their diet. About the Role As a Senior Data Scientist focused on growth, you’ll be pivotal in shaping and implementing the strategic vision for growth marketing at Thistle. You’ll apply analysis, modeling, and experimentation to drive efficient spend allocation locally by channel and globally across our entire portfolio, leading the charge to expand our customer base and enhance brand equity. You’ll help us think holistically about the impact of promotional events, creative design, targeting strategy, and more, driving a shared understanding of performance that optimizes for long-run business health. How You’ll Make a Difference Develop and oversee the implementation of a comprehensive growth marketing strategy that aligns with Thistle's business objectives and brand values. Optimize marketing spend across channels to drive efficient, high-value customer acquisition. Take a hands-on role in allocating and managing spend, continuously improving efficiency through automation, analysis, modeling, and experimentation. Deploy A/B experiments and causal inference methods to measure the efficacy of new and existing ad channels. Interpret data collected internally and via third-party platforms through a critical lens, leveraging insights to deliver long-run business value. Clearly communicate insights to executive leadership and other stakeholders, facilitating a shared understanding of performance while surfacing actionable, data-driven recommendations Collaborate with senior leadership to determine appropriate key metrics, performance goals, and budgets. Allocate long-run marketing spend by appropriately forecasting the impact of seasonality, geographic expansion, and other business factors. Partner with our marketing team to optimize Thistle’s promotional calendar. Collaboratively design and evaluate key sales levers, including promotional duration, frequency, and offer structure. Act as a thought leader within the organization, staying ahead of industry trends and growth marketing innovations. QualificationsWho You Are 5+ years of hands-on data science experience, including a focus on marketing optimization - preferably within a D2C business context. Experience managing spend through major ad platforms (Meta, Google, TikTok, etc.) Strong statistical knowledge and intuition, including causal inference, experimentation, and statistical modeling. Experience designing and analyzing tests in conjunction with third-party advertising platforms. Strong proficiency in 1+ programming languages (e.g., R, Python) Strong SQL and data visualization skills Excellent communication skills, with a passion for distilling complex findings into actionable recommendations Bachelor's/Master's/PhD in a quantitative discipline or equivalent practical experience A passion for our mission: to make it easy for everyone to get and stay healthy while improving the sustainability of our food system Our Culture Diversity, equity, and inclusion are essential values at Thistle. We know we do our best and most impactful work when we feel we are represented and belong. We're proud to actively recruit and hire talented individuals from a diverse range of backgrounds and experiences. We do not discriminate against employees or applicants for employment on any legally recognized basis (“protected class”), including, but not limited to, race, ethnicity, citizenship, national origin, color, hairstyles, hair texture, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.