What are the responsibilities and job description for the Data Scientist w/ Snowflake position at SolutionIT, Inc.?
Job Details
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 Google Cloud Platform 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
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About Solution IT
Solution IT is a national IT consulting company specializing in: Technology Staffing and Oracle E-Business Solutions based in Boston, Massachusetts.