Associate Data Scientist

About the Role

An Associate Data Scientist plays a crucial role in handling and analyzing large datasets to uncover valuable insights. They utilize statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data. By collaborating with cross-functional teams, they help translate data findings into actionable business strategies, thereby supporting data-driven decision-making processes. Additionally, they may assist in developing predictive models, automating data collection processes, and ensuring data quality and integrity. This position often serves as a foundational step towards more advanced roles in data science, providing essential skills and experience in the field.

Key Responsibilities

• Understand key concepts related to managing and analyzing large datasets, including using statistical methods and machine learning algorithms to derive actionable insights.
• Translate business goals to technical expertise.
• Translate data insights into actionable recommendations for decision-makers.
• Collaborate closely with more senior team members and learn from experienced colleagues.
• Effectively communicate findings to non-technical stakeholders, collaborate with team members, and present to business users.

Requirements & Tech Stack

• Familiarity in working with SQL and Python.
• Knowledge of machine learning techniques and algorithms.
• Experience with data visualization tools like Posit or Power BI.

Qualifications

• Bachelor’s degree in computer science, data science, statistics, math, or a related analytical concentration is required.
• Other bachelor’s degrees with data science relevant certifications will be considered.

Preferred Qualifications

• Experience using Power BI, Databricks, and/or Microsoft Power Apps.
• Candidates are encouraged to provide a portfolio or examples of work demonstrating their experience with large-scale data management, analytics, reporting, or application development.
• Knowledge of the 1Xcel Way and Lean methodologies, including continuous improvement tools and process optimization practices (Internal candidates).