Business Intelligence Analyst/Data Scientist

Summary

Join The Motley Fool as a Contract Business Intelligence Analyst/Data Scientist! This is a 5-6 month, 40-hour/week, fully remote contract position (US-based candidates only) requiring 5+ years of relevant experience. You will collaborate with various teams, translating business strategies into data initiatives, providing data-driven recommendations, and developing insightful reports and dashboards. Advanced analytics, machine learning, and LLM experience are crucial. The role involves leveraging LLMs to automate business analysis and implementing NLP techniques. Compensation is $70-$80/hour.

Requirements

• Minimum 5 years of collaborative data analytics experience delivering insights to key stakeholders
• Knowledgeable in reporting and data visualization tools like Tableau, ThoughtSpot, or Power BI
• Demonstrated ability to influence data-informed decisions and drive growth in key metrics
• Programming experience with Python
• SQL proficiency
• Statistical testing and experiment design
• Supervised machine learning methods and approaches; ML project deployment
• Familiarity with common data science libraries (e.g., scikit-learn, pandas, NumPy)
• Machine Learning experience: Supervised methods, model deployment, and MLOps
• Extensive experience with LLMs and NLP: Leveraging and fine-tuning LLMs for automating business analysis Implementing NLP techniques to extract insights from large datasets
• Experience with AWS
• A continuous learner: someone who keeps up with the latest data science trends

Responsibilities

• Collaborate with business teams to understand their strategies and translate them into data initiatives
• Provide data-informed recommendations to improve product features, engagement, and member experience
• Monitor key metrics and develop strategies to impact business performance positively
• Analyze large datasets to derive meaningful insights
• Perform exploratory data analysis to inform strategic initiatives
• Develop and maintain dashboards and reports for stakeholders
• Communicate complex data insights clearly and actionably
• Utilize advanced analytics techniques to identify trends and opportunities
• Apply statistical methods and machine learning algorithms to solve complex business problems
• Build predictive models for forecasting, marketing response, segmentation, and decision support
• Develop LLM-based solutions to enhance data interpretation and reporting
• Implement NLP techniques to process and analyze unstructured data
• Collaborate with data engineering to automate and operationalize models

Preferred Qualifications

• A Bachelor's degree in Data Science, Computer Science, Statistics, or a related field preferred. Advanced degrees or certifications are a plus
• Subscription marketing or retention marketing analytics experience is highly desirable (A/B testing, email marketing)
• Google Analytics experience
• Experience with Causal Modeling

Benefits

• Hourly Pay Range $70 — $80 USD
• 100% remote work