.At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.Senior Data Scientist at BairesDevWe are looking for an outstanding Senior Data Scientist to join BairesDev's Research & Development Team (R&D). This professional will use data and machine learning techniques to help the business automate and scale decision-making, mainly by producing advanced data analysis reports and data-based models to infer and predict patterns.What You Will Do:- Help to improve data literacy and the overall analytical environment across the company.- Handle both structured and unstructured data using SQL and other programming languages.- Perform advanced data analysis and report results.- Tell the story behind data in a compelling manner for business people.- Build predictive models and machine-learning algorithms.- Combine models through ensemble modeling.- Propose solutions and strategies to business challenges.- Help to design and execute experiments for hypothesis testing.- Participate actively in discussions and decisions regarding the whole Data Science / Data Engineer chapter.- Collaborate with data product managers to build awesome data products.- Work with management to prioritize business and information needs.- Help to spread a data-driven mindset and to improve data literacy. Be a data evangelist.Here's what we are looking for:- 3+ years of experience with Data Science / Data Engineer, machine learning, IA, statistical, and other related areas.- Proficiency with SQL.- Proficiency in Python, R, or another major programming language.- Excellent communication skills, and capacity to collaborate and build relationships with non-technical users.- Strong knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference.- Hands-on experience with machine learning, like regression classification, clustering, neural networks, feature selection, cross-validation, the curse of dimensionality, bias-variance tradeoff, model explainability, NLP, etc.Desirable:- Experience with people analytics or growth.- Experience with data visualization tools.- Good understanding of the engineering challenges to deploying machine learning systems to production.How we do make your work (and your life) easier:- 100% remote work (from anywhere).- Excellent compensation in USD or your local currency if preferred- Hardware and software setup for you to work from home.- Flexible hours: create your own schedule.- Paid parental leaves, vacations, and national holidays.- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent
