Amazon Training Solutions Research Scientist AWS Certification 

United States, Washington, Seattle 

864439382

A T&C Research Scientist will have deep industry knowledge, leverage technology (AI/ML tools), analyze data, experiment, stay current with trends, identify opportunities, aid in product and strategy development, and provide insights for T&C around the science of learning and what is coming. The role requires extending existing scientific techniques and inventing new ones to understand how learners learn and how learning evolves. You will envision new ways to solve customer problems, create innovative experiences, and enable organizations to solve business problems through upskilling their workforce.Key job responsibilities
* Engage in strategic discussions with teams to ensure research generates actionable and on-point findings.
* Apply your expertise in scientific research and analysis to design, experiment, and conduct scalable research projects that address opportunities in learning and credentialing for international audiences.
* Identify opportunities to simplify existing research processes and operate more nimbly.
* Collaborate with cross-functional teams, including engineers, business, product, and others to define requirements, establish success metrics, and deliver high-quality solutions.
* Use advanced statistical methodologies to understand relationships between key metrics and other related measures (e.g., regression, structural equation modeling, latent growth curve modeling, Shapley analysis, etc.).
* Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance T&C operational performances and customer experiences.
* Continuously explore/evaluate emerging methodologies to improve the accuracy and efficiency of research.
* Analyze performance of methods and models, iteratively improving them based on quantitative metrics and feedback.
* Communicate concepts and findings effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on opportunities and their potential impact.
* Contribute to team's strategic planning, goals, priorities, and technical roadmaps.
* Publish research findings in internal reports and external peer-reviewed when aligned with business needsA day in the life
Your work will be resourceful, thinking big, while staying connected details, translate research, data, and advanced analytics into strategic direction, and embrace change and speed. You will be responsible for conducting end-to-end research, as well as leveraging modeling skills to uncover drivers. You dive deep into large amounts of data and translate research into actionable insights/recommendations.

- Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Experience conducting research on a global scale

- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
- Experience in machine learning, statistics, and deep learning
- Experience with various machine learning techniques and parameters that affect their performance
- Experience programming, prototyping and scripting with Oracle, SQL, Hive, Pig, SAS, R, Weka, or Python