Job Description

Moody\'s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don\'t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles. Moody\'s is a global integrated risk assessment firm that empowers organizations to make better decisions. At Moody\'s, we\'re taking action. We\'re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We\'re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at We are seeking a Data Scientist to join our Business Intelligence team. As a key player on the team, you will leverage your expertise in data analysis, statistical modeling, and strategic insights to drive content readership and engagement. The successful candidate will be responsible for designing, modeling, testing and analyzing MIS research and outreach data. The goal is to identify patterns and insights that will aid in understanding and improving research and customer engagement behavior within our MIS Research team. Key Responsibilities: 1. Prepare clear and concise data reports and visualizations for stakeholders. 2. Ensure data accuracy and integrity through rigorous quality control measures. 3. Data Collection and Design: 1. Design and Implement Data Sets: Collaborate with cross-functional teams to design and create robust data sets that capture relevant metrics related to our content performance, user behavior, and market trends. 2. Data Collection Strategies: Develop innovative approaches for collecting data from various sources, including web analytics, social media, and user interactions. 3. Quality Assurance: Ensure data accuracy, consistency, and reliability through rigorous quality checks. 4. Quantitative Analysis: 1. Statistical Modeling: Apply advanced statistical techniques to analyze data and extract actionable insights. Utilize tools such as R (or Python for modeling and hypothesis testing. 2. Segmentation and Personalization: Identify audience segments with supervised and unsupervised methods based on behavioral patterns and preferences. Tailor strategies to enhance engagement within each segment. 3. A/B Testing: Design and execute A/B tests to optimize content delivery, user experience, and conversion rates. 5. Content Optimization: 1. Content Performance Metrics: Evaluate the effectiveness of our content campaigns using KPIs such as click-through rates, time spent on page, and conversion rates. 2. Recommendations: Provide data-backed recommendations to improve content quality, distribution channels, and targeting strategies. 3. SEO Insights: Collaborate with SEO teams to enhance content visibility and organic search rankings. 6. Strategic Decision-Making: 1. Business Impact Assessment: Quantify the impact of strategic initiatives on readership and engagement. 2. Forecasting and Predictive Analytics: Develop and train neuronal and machine and deep learning models to predict future trends and guide strategic planning. 3. Competitor Analysis: Monitor industry trends and competitor performance to inform our marketing strategies. 7. Collaboration and Communication: 1. Cross-Functional Collaboration: Work closely with editorial, product, and technology teams to align marketing efforts with overall business goals. 2. Clear Reporting: Present findings and insights to stakeholders in a concise and actionable manner. 8. Qualifications: 1. Bachelor\'s or Master\'s degree in Data Science, Statistics, or a related field. 2. 10 years of proven experience as a Data Scientist or similar role. 3. Strong analytical mindset with the ability to translate data into actionable recommendations 4. Strong knowledge of data modeling, training predictive models, data mining, and segmentation techniques. 5. Proficiency in relevant statistical, data analysis tools and programming languages (e.g., R, RStudio, SQL, Python, MiniTab or other. 6. Familiarity with BI technologies (e.g., Microsoft Power BI, Tableau. 7. Excellent analytical and problem-solving skills. 8. Exceptional communication skills to effectively collaborate with the team and present findings to stakeholders. Preferred Skills: 1. Experience in the financial services or publishing sector. 2. Knowledge of MIS systems and their data structures. Moody\'s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody\'s Corporation may be asked to disclose securities holdings pursuant to Moody\'s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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