Data Scientist - Python

Role Description :

This Data Scientist position is centered on data engineering, applied analytics, and client enablement. Youll play a key role in helping customers get from raw data to actionable insights.

Responsibilities :

- 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 deploymentwhen 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 :

- Associates or Bachelors 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 :

- 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).