Junior Data Scientist / Master's Required
Motion Recruitment
Date: 15 hours ago
City: Los Angeles, CA
Contract type: Full time

A data-driven financial analytics firm is actively hiring a Junior Data Scientist with a strong background in business intelligence, data visualization, and financial data analysis. This role is designed for early-career professionals with an academic foundation and practical exposure to Python and Power BI, who are looking to make a meaningful impact in the finance space.
You will work directly with senior team members to create dashboards, conduct exploratory analysis, and deliver data-driven recommendations. This is an ideal opportunity for someone with formal training in data science to apply their skills in a finance-focused, insights-driven environment.
Required Skills & Experience
What You Will Be Doing:
You will work directly with senior team members to create dashboards, conduct exploratory analysis, and deliver data-driven recommendations. This is an ideal opportunity for someone with formal training in data science to apply their skills in a finance-focused, insights-driven environment.
Required Skills & Experience
- Master’s degree in Data Science, Finance, Statistics, Computer Science, or a closely related field (required)
- 1–2 years of experience working with data in either a professional or academic capacity
- Strong Power BI skills, including dashboard design, DAX calculations, and data modeling
- Solid proficiency in Python (Pandas, NumPy, visualization libraries) for data analysis
- Understanding of financial concepts and reporting metrics
- Strong SQL capabilities for data extraction and manipulation
- Clear communication skills for translating data into business insights
- Experience with Excel Power Query, advanced formulas, or VBA
- Familiarity with cloud data environments (Azure, AWS, GCP)
- Exposure to ETL or data pipeline concepts
- Interest in financial forecasting or modeling
What You Will Be Doing:
- 50% Power BI Reporting & Visualization
- 30% Python-Based Analysis
- 20% SQL Data Extraction
- 60% Exploratory Analysis and BI Dashboard Development
- 20% Support Financial Analysis and Reporting
- 20% Cross-Team Collaboration with Analysts and Engineers
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