Full Stack Web Developer - Python(Flask) with React/NodeJS

Role Overview: You will be responsible for designing and building machine learning solutions using Python for a US startup. The company focuses on providing a flexible work environment to help parents achieve a work-life balance. As a Python Developer, you will have the opportunity to work remotely from any location with internet access, without the need for long commutes or in-person meetings. Your role will involve working on scalable, supportable, and maintainable Python code, collaborating with development teams, and mentoring junior team members. Key Responsibilities: - Write Python code with a focus on scalability, supportability, and maintainability - Develop, configure, and customize software - Guide and mentor junior team members and interns - Diagnose and resolve issues in production - Collaborate with development teams to determine application requirements - Assess and prioritize client feature requests Qualifications Required: - Bachelors or Masters in Statistics/Math, Computer Science, Finance/Economics, Computer Engineering, or related quantitative fields (Ph.D. candidates encouraged to apply) - Proficiency in Python Web Development (Flask) - Knowledge of React/NodeJS Web Development - Familiarity with SQL, Unix, Docker, Git, and relational databases - Strong analytical, design, problem-solving, and troubleshooting/debugging skills - Experience in DevOps and deployment pipelines for software deployment - Familiarity with Analytics/Machine Learning projects and libraries - Understanding of software design patterns and engineering best practices - Ability to work independently and remotely without needing constant supervision Additional Company Details: The company is a remote-first organization, offering flexible hours and competitive salaries. They provide growth potential and the opportunity to work with leading minds in finance, statistics, and econometrics. The culture values reliability, honesty, teamwork, communication, self-starters, builders, and experimentation. Pursuing or completing a higher degree in STEM fields, curiosity about Analytics/Machine Learning, and prior experience in Financial Services are considered advantageous.,