Data Scientist

Summary

Join Data Meaning, a leading Business Intelligence and Data Analytics consulting firm, as a Data Scientist! This fully remote, temporary (3+ months) position in Brazil focuses on building and deploying Python models within the Snowflake platform using Snowpark. You will collaborate with cross-functional teams, analyze large datasets, build predictive models, and communicate findings to stakeholders. The ideal candidate possesses strong Python and Snowflake expertise, a background in predictive modeling, and excellent communication skills. Experience in marketing data science is highly valued. This is a fantastic opportunity to contribute to a collaborative, innovative, and remote-first work culture.

Requirements

• At least 4 years of professional experience in data science, analytics, or a related field
• Strong proficiency in Python, including experience building models for execution within Snowflake using Snowpark
• Knowledge of Snowflake architecture and its integration with Python for data science use cases
• Understanding of machine learning and predictive analytics concepts, including supervised and unsupervised learning techniques
• Strong analytical skills with the ability to draw actionable insights from complex datasets
• Familiarity with SQL for querying databases; NoSQL knowledge is a plus
• Experience with data visualization tools such as Tableau or Power BI
• Excellent communication skills, with the ability to present technical information to non-technical audiences
• Ability to work in a collaborative, remote environment with a focus on delivering high-quality solutions
• Familiarity with marketing data science problems like customer segmentation, personalization, churn analysis, dynamic pricing optimization, visual merchandising optimization, demand forecasting with seasonality, and marketing campaign performance forecasting
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field (Master’s degree preferred)

Responsibilities

• Develop robust models in Python, leveraging Snowflake and Snowpark for deployment and execution
• Collaborate with cross-functional teams, including engineering and architecture, to ensure seamless model integration and deployment
• Analyze large datasets to uncover trends, patterns, and actionable insights that address complex business challenges
• Build predictive models and propose innovative solutions using appropriate statistical techniques and machine learning algorithms
• Communicate results and insights clearly to both technical and non-technical stakeholders, including senior management and clients
• Ensure data integrity, address imperfections in datasets, and integrate varied structured and semi-structured data sources
• Implement solid validation processes to minimize errors and enhance model accuracy and reliability
• Identify meaningful data visualizations to communicate findings and highlight business impact
• Stay up to date on advancements in data science, Snowflake, and Python to champion innovative approaches and tools

Preferred Qualifications

• Experience with Alteryx
• Knowledge of cloud platforms such as Azure (Preferred), AWS, or GCP
• Food service and specialty retail industry
• Prior experience working in consulting or client-facing roles
• Understanding of big data infrastructure like Hadoop, Spark, or similar technologies

Benefits

Fully remote