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Data Scientist w/ Snowflake
Data Scientist w/ SnowflakeSolutionIT • Charlotte, NC, United States
Data Scientist w / Snowflake

Data Scientist w / Snowflake

SolutionIT • Charlotte, NC, United States
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Solution IT Inc. is looking for Data Scientist w / Snowflake for one of its clients in Charlotte, NC(Hybrid)

Job Title : Data Scientist w / Snowflake

Summary

The Senior Snowflake Data Scientist will lead the development, deployment, and operationalization of machine learning and statistical models that solve complex business problems and drive strategic decision-making. This role requires an expert blend of statistical rigor, advanced programming, and deep knowledge of leveraging Snowflake's ecosystem (e.g., Snowpark, Streamlit, external functions) for high-performance, in-warehouse data science.

Key Responsibilities :

Advanced Modeling & Analysis

  • Model Development : Design, build, train, and validate sophisticated machine learning (ML) and statistical models (e.g., predictive, prescriptive, clustering, forecasting) to address key business challenges (e.g., customer churn, sales forecasting, risk modeling).
  • Feature Engineering : Utilize advanced SQL and Python / Snowpark to perform large-scale feature engineering, data transformation, and preparation directly within Snowflake, ensuring high data quality and low latency for modeling.
  • A / B Testing & Causal Inference : Design and analyze experiments (A / B tests) and employ causal inference techniques to measure the business impact of product features, strategies, and model outputs.

MLOps & Production Deployment

  • Operationalization : Lead the process of deploying trained models into production environments, utilizing Snowpark, Snowflake UDFs / UDTFs, and external functions for scalable inference and real-time scoring.
  • Pipeline Automation : Collaborate with Data Engineering to integrate ML pipelines into CI / CD workflows, ensuring models are automatically retrained and redeployed using tools like Airflow or orchestration platforms.
  • Monitoring : Establish and maintain robust monitoring for model performance (drift, bias, accuracy) and operational health within the Snowflake environment.
  • Data Visualization & Storytelling

  • Insight Generation : Conduct deep-dive exploratory data analysis (EDA) using complex Snowflake SQL to uncover hidden patterns, opportunities, and risks.
  • Visualization & Communication : Effectively communicate complex analytical findings, model outputs, and recommendations to technical and non-technical stakeholders and senior leadership using compelling data storytelling and visualization tools (e.g., Tableau, Power BI, or Snowflake Streamlit).
  • Platform & Technical Leadership

  • Best Practices : Define and promote best practices for statistical rigor, ML coding standards, and efficient data processing within the Snowflake ecosystem.
  • Mentorship : Provide technical guidance and mentorship to junior data scientists and analysts on modeling techniques and leveraging Snowflake's data science features.
  • Innovation : Stay current with the latest features of the Snowflake Data Cloud (e.g., Generative AI / LLMs, Unistore, Data Sharing) and propose innovative ways to leverage them for business value.
  • Required Skills :

  • MS or Ph.D. in a quantitative discipline (e.g., Statistics, Computer Science, Engineering, Economics, or Mathematics).
  • 7+ years of progressive experience in Data Science, with at least 3+ years of hands-on experience building and deploying ML solutions in a cloud data warehouse environment, preferably Snowflake.
  • Expert proficiency in Python (including packages like scikit-learn, NumPy, Pandas) and writing scalable code for data processing.
  • Expert-level command of Advanced SQL for complex data manipulation and feature engineering.
  • Proven experience with Machine Learning algorithms and statistical modeling techniques.
  • Strong understanding of MLOps principles for model lifecycle management.
  • Preferred Skills & Certifications

  • Snowflake SnowPro Advanced : Data Scientist Certification.
  • Hands-on experience developing solutions using Snowpark (Python / Scala).
  • Experience building data apps / dashboards using Snowflake Streamlit.
  • Familiarity with cloud platforms and services (AWS Sagemaker, Azure ML, or GCP Vertex AI) integrated with Snowflake.
  • Experience with workflow orchestration tools (e.g., Apache Airflow, dbt).
  • Work Site : Charlotte, NC(Hybrid)

    Duration : 6+ Months

    Expected Start Date : Immediate

    Number of Positions : 1

    Please send your responses back to contracts@solutionit.com

    About Solution IT

    Solution IT is a national IT consulting company specializing in : Technology Staffing and Oracle E-Business Solutions based in Boston, Massachusetts.

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