Who we are:Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.
We are currently looking for an exceptionally talented Senior Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing predictive models, and applying advanced analytical techniques to drive strategic decision-making and optimize business outcomes.What you will be doing:
Develop and implement advanced machine learning algorithms and statistical models to solve complex business problems and generate actionable insights.Collaborate with cross-functional teams to define project objectives, design experiments, and develop data-driven solutions.Conduct exploratory data analysis to uncover hidden patterns and extract valuable insights contributing to business growth and optimization.Utilize predictive modeling and forecasting techniques to support decision-making processes and improve operational efficiency.Continuously monitor model performance, assess data quality, and refine models to ensure accuracy and reliability.Stay current with the latest advancements in data science and technology, and identify opportunities to apply emerging methodologies to enhance existing models and processes.Apply your technical expertise to collect, process, and analyze large datasets to extract valuable insights.What you must bring:
A Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline.5+ years of experience in data science, with a track record of successfully applying data-driven solutions in a professional setting.Proficiency in programming languages such as Python or R.Strong knowledge of SQL for data extraction and manipulation.A deep understanding of statistical methodologies and their practical application.Proven experience working with different statistical methods or models.Solid understanding of statistical analysis and hypothesis testing.Ability to apply quantitative techniques to extract meaningful insights and drive data-driven strategies.Execute end-to-end data science projects, from problem formulation to model deployment.Implement scalable and robust DS architectures that can handle large datasets, model training, and deployment, ensuring the reliability and efficiency of data-driven solutions.A proven track record of solving complex business problems by developing and implementing data-driven solutions that enhance business performance.Demonstrated 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.Strong communication skills in English and the ability to work collaboratively in a team-oriented environment.Excellent communication skills in English to convey complex technical concepts to non-technical stakeholders.Effective presentation skills in English to share findings and insights with team members and decision-makers.
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