Associate Data Scientist
Spectrum
About the Role
Join Spectrum as an Associate Data Scientist to uncover insights that solve real business challenges. Collaborate with experienced data scientists, sharpen technical skills, and learn to communicate complex ideas effectively. Your work will support Spectrum’s mission to deliver impactful, data-driven solutions. This position is in an office environment with a hybrid work schedule; eligible employees can work from home up to one day each week.
Key Responsibilities
- Support the end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of business impact.
- Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements.
- Assist in cleaning, aggregating, and analyzing large data sets to generate actionable insights.
- Collaborate with stakeholders to identify opportunities for business improvement using statistical and analytical methods.
- Help design and implement statistical data quality procedures for new and existing data sources.
- Contribute to communicating data science concepts and solutions clearly to team members and business leaders.
- Establish connections across data sources and identify new, meaningful data relationships.
- Aid in presenting findings and recommendations to key stakeholders while ensuring project goals are met on time.
Requirements & Tech Stack
- 0-3 years of experience in data analytics.
- 0-2 years of programming experience.
- Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python.
- Interpersonal, verbal, and written communication skills with a focus on teamwork.
- Minimal experience with analytical and statistical software.
- Basic SQL skills.
- Strong analytical and problem-solving abilities with attention to detail and data accuracy.
- Ability to perform thorough research and analysis.
- Commitment to confidentiality and proper handling of sensitive information.
- Knowledge of computer science principles such as algorithms, data structures, and design methodologies.
Qualifications
- Bachelor’s degree in computer science, statistics, operations research, or equivalent combination of education and experience.
- Internship experience in a data scientist role is preferred.