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Data Science (Snowflake)

Allata

Salary not specified
Sep 30, 2025
Dallas, TX, US
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Allata is looking for a Data Scientist (Snowflake) to help their client unlock the full potential of their data and drive business growth by designing and implementing data science models and analytics solutions leveraging Snowflake.

Requirements

  • Proven experience as a Data Scientist, with hands-on work in Snowflake environments.
  • Proficiency in SQL for data extraction, transformation, and feature generation in Snowflake.
  • Experience building and validating predictive models using Python (e.g., scikit-learn, pandas, NumPy).
  • Solid understanding of statistics, machine learning techniques, and data mining.
  • Experience in cloud-based environments (e.g., AWS, Azure, or GCP).
  • Familiarity with Agile methodologies and SDLC practices
  • Experience deploying models into production with MLflow, Airflow, or similar tools.

Responsibilities

  • Develop and deploy data science models and machine learning solutions using data hosted in Snowflake.
  • Leverage Snowflake’s advanced features to create scalable, efficient pipelines for model training and inference.
  • Collaborate with cross-functional teams to understand business needs and translate them into data science use cases.
  • Perform exploratory data analysis (EDA), feature engineering, and statistical analysis to uncover trends and patterns.
  • Ensure data quality, integrity, and governance within Snowflake for analytical applications.
  • Maintain clear, comprehensive documentation of data science workflows, modeling approaches, and outcomes.
  • Work closely with DevOps and Data Engineering teams to integrate ML models into production using CI/CD pipelines.

Other

  • Proactive, analytical mindset with strong problem-solving and critical thinking abilities.
  • Self-motivated, organized, and detail-oriented in managing complex datasets and models.
  • Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.