Remote Senior Data Scientist

Description:

• Factored is seeking a Senior Data Scientist to join their team in Latin America, working remotely.
• The role involves extracting insights from complex data sets, developing predictive models, and applying advanced analytical techniques to drive strategic decision-making and optimize business outcomes.
• Responsibilities include developing and implementing advanced machine learning algorithms and statistical models to solve complex business problems and generate actionable insights.
• The candidate will collaborate with cross-functional teams to define project objectives, design experiments, and develop data-driven solutions.
• Conducting exploratory data analysis to uncover hidden patterns and extract valuable insights contributing to business growth and optimization is essential.
• The role requires utilizing predictive modeling and forecasting techniques to support decision-making processes and improve operational efficiency.
• Continuous monitoring of model performance, assessing data quality, and refining models to ensure accuracy and reliability is expected.
• Staying current with the latest advancements in data science and technology, and identifying opportunities to apply emerging methodologies to enhance existing models and processes is crucial.
• The candidate will apply technical expertise to collect, process, and analyze large datasets to extract valuable insights.

Requirements:

• A Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline is required.
• The candidate must have 5+ years of experience in data science, with a proven track record of successfully applying data-driven solutions in a professional setting.
• Proficiency in programming languages such as Python or R is necessary.
• Hands-on experience with Databricks and Spark is required.
• Strong knowledge of SQL for data extraction and manipulation is essential.
• A deep understanding of statistical methodologies and their practical application is needed.
• Proven experience working with different statistical methods or models is required.
• A solid understanding of statistical analysis and hypothesis testing is necessary.
• The ability to apply quantitative techniques to extract meaningful insights and drive data-driven strategies is essential.
• The candidate must be able to execute end-to-end data science projects, from problem formulation to model deployment.
• Implementing scalable and robust data science architectures that can handle large datasets, model training, and deployment is required.
• A proven track record of solving complex business problems by developing and implementing data-driven solutions that enhance business performance is necessary.
• The candidate should demonstrate the ability to proactively research and learn new concepts, tools, and techniques to stay at the forefront of the rapidly evolving data science field.
• Strong critical thinking skills to evaluate data, identify trends, and draw actionable conclusions are essential.
• Exceptional communication skills in English (B2-C2) are required, including the ability to convey complex technical concepts and collaborate effectively in team environments.

Benefits:

• Factored offers a transparent workplace where everyone has a voice in building the company.
• The company is committed to investing in employees' career and professional growth in meaningful ways.
• Employees are encouraged to work with passionate and intelligent colleagues who inspire them.
• The work environment promotes learning and growth based on merit, not just on resumes.
• The company values human talent and passion, recognizing that they come from diverse backgrounds.
• Employees enjoy a culture that includes making music, playing sports, cooking, and having fun together outside of work.