Data Scientist, AI Ops

About the Role

As a Data Scientist, you will support the team with entry-level data tasks and gain exposure to data science techniques. You will help collect, clean, and analyze data to provide preliminary insights for predictive models and optimize business performance.

Key Responsibilities

• Collect and standardize data from various sources.
• Assist in cleaning and preprocessing data.
• Conduct preliminary data analysis.
• Participate in training machine learning models with guidance.
• Help maintain databases and data repositories.
• Prepare simple visualizations and reports.
• Collaborate with colleagues to understand data requirements.
• Stay updated with the latest data science trends and tools.
• Document processes for data collection and analysis.
• Support data integrity and validation.

Requirements & Tech Stack

• Data Collection: Ability to gather data from multiple sources.
• Data Cleaning: Basic preprocessing and cleaning techniques.
• Python: Familiarity with basic Python for data manipulation.
• SQL: Basic understanding for querying data.
• Excel: Proficiency for simple data analysis and visualization.
• Basic Statistics: Understanding of basic statistical concepts.
• Communication: Clear reporting of findings.
• Team Collaboration: Ability to work well in a team environment.

Qualifications

• This role is ideal for individuals eager to build a foundation in data science and leverage data for innovation.
• Candidates will be required to participate in interviews without AI assistance. Virtual backgrounds are not permitted, and in-person interviews may be part of the process.