The Motley Fool is looking for a highly skilled Contract Business Intelligence Analyst/Data Scientist to join our team on an independent contract basis, 40 hours per week for 5-6 months starting early February. This is a mid to senior level position and requires 5+ years of relevant experience.

While this role is flexible and 100% remote, _candidates must be located in the United States for consideration.

_Who are we?

We are The Motley Fool, a purpose-driven financial information and services firm with more than 30 years of experience focused on making the world smarter, happier, and richer. But what does that even mean?! It means we're helping Fools (always with a capital "F") demystify the world of finance, beat the stock market, and achieve personal wealth and happiness through our products and services.

The Motley Fool is firmly committed to diversity, inclusion, and equity. We are a motley group of overachievers that have built a culture of trust founded on Foolishness, fun, and a commitment to making the world smarter, happier and richer. However you identify or whatever winding road has led you to us, please don't hesitate to apply if the description above leaves you thinking, "Hey! I could do that!"

What does this team do?

On the Business Intelligence team, we strive to democratize data and deliver analytics that enable our business leaders to achieve our purpose. We seek a strategic thinker with a keen ability to understand business, product, and marketing strategy as well as provide consultative marketing analysis.

What would you do in this role?

You'll work with our Motley team of business analysts, data scientists, marketers, and product managers to bring new insights. Your technical aptitude in analytics and data science will be key to creating insightful and effective insights, analysis, and reporting.

But what would you actually do in this role?

Business Intelligence:

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

Data Analysis and Reporting:

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

Advanced Analytics and Data Science:

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
Leverage LLMs to automate business analysis:
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

Required Skills and Experience:

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
Intermediate to advanced technical data skills, including:
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.

It would be nice if you also had:

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

Compensation:

Below is our target compensation range. While we are budget conscious, we're also eager to find the right person for this role, so if your target is outside of this range, please don't hesitate to apply and we'd be happy to have a conversation.

Hourly Pay Range

$70—$80 USD

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