Data Analyst I

Summary

Join The Savings Group as a Data Analyst I (ML) and contribute to data science initiatives. You will prepare data, conduct statistical evaluations, build machine learning models, and create insightful visualizations. This role involves collaborating with the Lead Data Scientist and cross-functional teams to extract data insights and influence business outcomes. The position is ideal for early-career candidates seeking to grow their skills in analytics, machine learning, and AI. You will work in a collaborative environment, monitoring model performance and exploring emerging ML/AI techniques. This is a remote position.

Requirements

• Degree (or near completion) in Data Science, Computer Science, Mathematics, Engineering, or a related field (master's or higher degree preferred but not required)
• 2-5 years of applicable work experience
• Hands-on experience with data analysis, statistical methods, and machine learning fundamentals
• Proficiency in Python (preferred) and relevant libraries (e.g., pandas, scikit-learn, matplotlib)
• Familiarity with SQL and working with relational databases
• Knowledge of common data visualization tools (e.g., Tableau, Power BI, or open-source alternatives)
• Strong analytical and problem-solving abilities, with attention to detail
• Excellent communication skills, both written and verbal
• Eagerness to learn and collaborate within a team setting

Responsibilities

• Assist with collecting, cleaning, and preprocessing data for use in modeling and analysis
• Collaborate with the Lead Data Scientist to explore business problems and identify opportunities for predictive modeling
• Build and evaluate basic machine learning models, support development of more complex algorithms
• Create visualizations and reports that clearly communicate findings to stakeholders
• Help monitor performance and accuracy of deployed models, support ongoing improvements and recalibration
• Conduct literature reviews and evaluate emerging ML/AI techniques and tools relevant to current projects
• Document methodologies, workflows, and findings for transparency and knowledge sharing
• Support cross-functional initiatives with data-driven insights and automation solutions

Benefits

• 401K Savings Plan
• Paid Time Off and Paid Holidays
• Four Health Insurance Plan Options
• Flexible Spending and Health Savings Accounts
• Dental and Vision Insurance
• Long-term Disability and Life Insurance
• Casual Professional work environment