Data Scientist

Responsibilities

• Collaborate with client teams to understand their data sources, structures, and business requirements.
• Design and implement data transformation pipelines to prepare data for aiCast ingestion.
• Build reporting and dashboarding solutions to help clients interpret and act on their data.
• Develop forecasting and analytics workflows to extend client use cases beyond data prep.
• Support end-to-end solution delivery—covering extraction, transformation, validation, and deployment—when applicable.
• Troubleshoot data quality issues and provide recommendations for improved structures or processes.
• Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer.

Qualifications

• At least 1-3 years of experience in a data role, preferably with enterprise clients.
• Associate’s or Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred.
• Proficiency in Python, including libraries like NumPy and Pandas for data transformation.
• Working knowledge of SQL for querying and joining datasets (intermediate level).
• Experience building ETL/ELT pipelines or similar data processing workflows.
• Familiarity with data visualization, reporting, or dashboarding tools.
• Strong problem-solving skills with a focus on client outcomes and practical implementation.
• Ability to work with incomplete or messy data and structure it for usability in production systems.
• Excellent communication skills for translating technical work into business impact.

Preferred Skills

• Knowledge of data transformation (e.g. using python Pandas library)
• Databases management, data integration, or data visualization.
• Experience with forecasting techniques or applied time-series analytics.
• Background in client-facing or consulting roles where you owned implementation delivery.
• Understanding of software engineering best practices (version control, testing, deployment).