.Who We areBairesDev is proud to be the fastest-growing company in America. With people in five continents and world-class clients, we are only as strong as the multicultural teams at the heart of our business. To consistently deliver the highest quality solutions to our clients, we only hire the Top 1% of the best talents and nurture their professional growth on exciting projects.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.- Hardware setup for you to work from home.- Flexible hours - make your schedule.- Paid parental leave, vacation & holidays.- Diverse and multicultural work environment.- An innovative environment with the structure and resources of a leading multinational.- Excellent compensation — well above the market average.- Here you can grow at the speed of your learning curve
