Job Summary: 

• Extract, curate, explore, and analyze data from large data sources 
• Develop and deploy statistical and ML models that influenced business decisions
• Develop data/analytics algorithms and data structures 
• Collaborate with business owners, stakeholders and leadership to methodically transform business problems into detailed and practical analytical requirements 
• Support the definition and deployment of a machine learning environment
• Innovate new ML methods in the data sciences space and drive change throughout the business
• Research new data sources and analytical tools, contribute to new application development and data quality improvement efforts
• Develop metrics to evaluate content performance and program success.
• Build and automate reports to communicate data-driven insights to business stakeholders.
• Distill insights from complex learner data, provide data consultation, and communicate findings clearly to technical and non-technical audiences.

Skills on Resume:

• Data Analysis (Hard Skills)
• Machine Learning Model Development (Hard Skills)
• Algorithm Design (Hard Skills)
• Metrics Development (Hard Skills)
• Collaboration (Soft Skills)
• Communication (Soft Skills)
• Innovation (Soft Skills)
• Problem Solving (Soft Skills)

Job Summary: 

• Build and maintain a decision support tool tailored for systems of interest
• Use the decision support tool to help transform a series of unstructured yet interrelated decision opportunities associated with a system development effort into a set of well-reasoned trade-space visualizations
• Present trade-space visualizations to senior leaders to help them quickly build intuition regarding design decisions and impact across cost, schedule
• Performance objectives in the presence of uncertainty
• Regularly interact with military mission analysts, technical subject matter experts, performance analysts, cost analysts, and senior leaders 
• Ensure the decision support tool is properly focused on the mission
• Design, develop and deploy statistical methods to elicit preference models from mission level scenarios
• Structure and coordinate the execution of a confederation of technical models 
• Assess alternatives across a broad set of measures
• Thoughtfully aggregate and synthesize the data from the disparate technical models to uncover patterns, trends, groups, or outliers as related to the full set of objectives

Skills on Resume:

• Decision Support System Development (Hard Skills)
• Data Visualization (Hard Skills)
• Statistical Analysis (Hard Skills)
• Data Synthesis (Hard Skills)
• Presentation Skills (Soft Skills)
• Stakeholder Engagement (Soft Skills)
• Strategic Thinking (Soft Skills)
• Collaborative Problem Solving (Soft Skills)

Job Summary: 

• Implement tooling to ensure scalability and automatability of data processes.
• Setup and analyze experiments: learner targeting, randomization, AB testing.
• Perform ongoing consultation to support Coursera cross-functional partners.
• Work closely with data engineering to ensure the reproducibility and scalability of data products.
• Partner with other data scientists to build a more complete and consistent understanding of what data tells about learners and content.
• Be a driving force on Paid Performance bidding strategies and investment efficiency overall
• Dig deep into the data to identify new opportunities to create additional impact.
• Communicate insights across the business so everyone can understand them.
• Ad-hoc analysis and research when interesting opportunities present themselves.
• Help sponsors realize the full potential of data-driven decision making

Skills on Resume:

• Data Scalability Implementation (Hard Skills)
• Experimental Design (Hard Skills)
• Data Analysis (Hard Skills)
• Data Visualization (Hard Skills)
• Collaboration (Soft Skills)
• Communication (Soft Skills)
• Problem Solving (Soft Skills)
• Strategic Influence (Soft Skills)

Job Summary: 

• Evolve credit policy and pricing strategy to deliver business targets and value to customers.
• Enhance monitoring of credit risk, profitability, and other areas of business performance.
• Continuously improve on NPV models.
• Wrangle data from multiple sources and effectively provide data cubes to other areas of the business to allow them to do what do best and less time pivoting.
• Refine existing and develop new models to reduce risk, manage profit margins, and improve efficiency.
• Collaborate with other areas of the business - forecasting the portfolio with Finance, analyzing customer profiles with Marketing, designing solutions for employer prospects with Sales, developing requirements with Product and optimizing processes with Operations.
• Work within a multi-discipline SCRUM team including Product Management, Development, Technology, QA, and User Experience Design to ensure the integrity of data across the business.
• Ensure ongoing regulatory compliance.
• Utilize decision science tools to assist decision-makers to understand the value and trade-offs of emerging and future cutting edge technologies

Skills on Resume: 

• Credit Risk Management (Hard Skills)
• Financial Modeling (Hard Skills)
• Data Wrangling (Hard Skills)
• Regulatory Compliance (Hard Skills)
• Collaboration (Soft Skills)
• Problem Solving (Soft Skills)
• Decision Making (Soft Skills)
• Cross-functional Communication (Soft Skills)

Job Summary: 

• Understand what hinders the world of Open Money, Identify business challenges and consumer pain points
• Build analytical tools to address the business challenges and deliver an exceptional user experience
• Drive execution of solutions in partnership with Product and Business teams to realize the impact
• Manage communication and project delivery between business and analytics teams 
• Develop storylines and make presentations
• Collaborate with business partners to define key business priorities and co-craft strategy based on market research and existing data solutions coming from the larger Analytics & Insights organization.
• Evaluate unstructured strategic questions from business teams and define a roadmap for potential data solutions working cross-functionally across Analytics & Insights
• Advocate for and influence adoption of analytics data products & insights across business teams where recommendations & conclusions are appropriately contextualized
• Utilize systems thinking approach to influence building of evergreen data products that are adaptable
• Establish key performance indicators for the business team and promote data driven decision making that allows for effective planning in stakeholder team

Skills on Resume:

• Data Analysis (Hard Skills)
• User Experience Design (Hard Skills)
• Project Management (Hard Skills)
• Strategic Planning (Hard Skills)
• Communication (Soft Skills)
• Collaboration (Soft Skills)
• Problem Solving (Soft Skills)
• Influencing (Soft Skills)