Data Scientist (Mid-level)

Description

Job Summary: As a Mid-level Data Scientist, you will be responsible for designing, developing, and implementing recommendation models; preparing information to support decision-making; and building machine learning algorithms. Key Highlights: 1. Pioneering big data analytics company in Brazil 2. Development and implementation of recommendation system models 3. Exploratory data analysis for identifying patterns and trends **Want to work at a pioneering big data analytics company in Brazil?** ------------------------------------------------------------------------- Our Mid-level Data Scientist will be responsible for projecting, developing, and implementing recommendation models; preparing information for decision-making; identifying valuable data sources; building machine learning algorithms; and proposing solutions and strategies to drive business growth. **Responsibilities:** ---------------------- As a Mid-level Data Scientist, here’s what we expect from you: * Development and implementation of models for recommendation systems, demand forecasting, pricing, and reinforcement learning * Exploratory data analysis to identify patterns and trends for use in models * Data visualization to effectively communicate insights to stakeholders * Contributions to and improvements of existing models—whether through statistical modeling or by seeking and acquiring new variables. **Requirements:** --------------- * Bachelor’s degree or higher in Statistics, Computer Science, Engineering, or related fields; * Experience designing, developing, and implementing recommendation models; * Proficiency in programming languages such as Python and libraries like scikit\-learn, TensorFlow, or PyTorch; * Familiarity with technologies related to large-scale data processing, data storage, and big data tools; * Ability to perform data analysis to extract valuable insights; * Strong communication skills to collaborate effectively within multidisciplinary teams; * Ability to efficiently and effectively solve problems. **What We Offer:** --------------------- PLR (Profit Sharing) of more than one month’s salary, contingent upon achievement of global targets Meal Allowance (Caju): R$ 40/day (São Paulo) and R$ 30/day (Belo Horizonte) Remote Work Allowance: R$ 300 Gym Allowance: R$ 150 Health Insurance (Amil and Unimed) Education Allowance: R$ 2\.500/year.