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Data Scientist

Company: Valid8 Financial, Inc.
Location: Seattle
Posted on: May 19, 2025

Job Description:

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.
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 in innovation. Innovation is directly correlated with productivity, which results from education and a market economy driven by incentives. Demands to legislate equality of outcome have replaced standards of equality of opportunity rooted in meritocracy. Consequently, for the first time in U.S. history, individuals face the likelihood of a lower standard of living than their parents. To combat this, it starts with educating professionals on economic policies that can improve quality of life for current and future generations. The goal is to produce an informed, united electorate capable of setting data-driven, equitable growth policies-leading to higher productivity and an increased standard of living for Americans.
Role Overview
We are seeking 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

    • Master's degree in Computer Science, Engineering, Mathematics, or a related field.
    • Proven experience as a Machine Learning Engineer or 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.

      Apply for this job
      Please provide your details and supporting documents as instructed in the application form, including your resume, cover letter, skills self-assessment, LinkedIn profile, current employer, salary expectations, work authorization status, and education credentials.
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Keywords: Valid8 Financial, Inc., Olympia , Data Scientist, Other , Seattle, Washington

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