Data Scientist

About Allio

Think Macro | Invest Smarter | Be Free 

Our macro-investing philosophy focuses on the powerful forces that shape markets: economics, policy, and politics. We believe these aren't just trends-they're the drivers of opportunity, risk and  long-term growth.

We're the only investing app that uses AI to power our portfolios, via our proprietary Altitude AI™ technology. Our goal is to lead fintech into the 21st Century by focusing on dynamic portfolios that embrace tactical execution, leaving the cookie cutter robo-advisors and gamified day-trading apps as a thing of the past.

By embracing a top-down macro perspective predicated on monetary and fiscal policy, we help investors identify critical turning points in markets and position their portfolios with precision. From sectors to industries and geographies, we enable you to think bigger and act decisively. As a company, we embrace America-first, libertarian ideals with a mission to expand economic literacy.

The world is experiencing a contentious changing global order in the midst of a 4th industrial revolution. High inflation, unrestrained government spending, dollarization and political polarization create difficult headwinds for the US to continue leading the world in innovation. Innovation is directly correlated with productivity, but productivity is a result of education and a market economy driven by incentives.  Demands to legislate equality of outcome have replaced the decades long standards of equality of opportunity shrouded in meritocracy. As a result, for the first time in U.S. history, individuals are faced with the likelihood that they will have a lower standard of living than their parents. In order to combat this contagion, it starts with educating professionals on the economic policies that are going to give them and their posterity the best quality of life. The goal is to produce an informed, united electorate capable of setting equitable growth policies predicated on data, not ideological party affiliation, leading to higher productivity and an increased standard of living for American Citizens.

  Role Overview

We are looking for a skilled Data Scientist with a solid foundation in data engineering to develop and implement advanced machine learning models that enhance Allio’s products and services. The ideal candidate will have experience in building data pipelines, handling large datasets, and creating scalable machine learning solutions with proficiency in tools like Snowflake. Experience working with financial market data is a must.

• Data Engineering: Design and develop robust data pipelines and ETL processes to support machine learning models. Ensure data quality and integrity across various data sources. Work with data warehousing solutions, particularly Snowflake, to manage and optimize data storage.
  
  
• Time-Series Data Handling: Collect, preprocess, and analyze financial and economic time-series data. Apply time-series modeling techniques to extract insights and forecast trends.
  
  
• Model Development: Build and deploy machine learning models and algorithms tailored to business needs. Conduct experiments to test hypotheses and validate models.
  
  
• Algorithm Optimization: Optimize machine learning algorithms for performance and scalability. Implement techniques to improve model accuracy and reduce computational costs.
  
  
• Integration and Deployment: Collaborate with software engineers to integrate machine learning models into production systems. Ensure models are robust, scalable, and maintainable in real-world applications.
  
  
• Research and Innovation: Stay current with the latest developments in machine learning and data engineering. Explore new technologies and methodologies to enhance existing solutions.
  
  

  Ideal Candidate

• Masters degree in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience as a Machine Learning Engineer or in a similar role.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or scikit-learn.
• Proficiency in data engineering tools and techniques, including SQL, NoSQL databases, and ETL processes.
• Experience with data warehousing platforms, particularly Snowflake.
• Familiarity with big data technologies like Apache Spark or Hadoop.
• Strong understanding of statistical modeling, data mining, and data visualization techniques.
• Experience working with financial and/or economic time-series data.
• Experience with software development tools and version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.