Senior Data Scientist

hace 4 días

Ciudad de México, Ciudad de México Factored A tiempo completo
Senior Data Scientist

We are seeking a highly skilled Senior Data Scientist to join our team at Factored. As a key member of our data science 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.

Key Responsibilities:
  • 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.
Requirements:
  • 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.

We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth is available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business, but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business, and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.

In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission.

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