Sr Data Scientist, Global Reliability, Maintenance & Engineering, Decision Science and Technology ( - Amazon

Description This role requires working closely with Business Stakeholders, Engineering and other Scientists within RME and across Amazon to deliver science solutions at Global scale. You will lead high visibility and high impact programs collaborating with various teams (both technical and non technical). The ideal candidate will be an expert with hands-on experience in the areas of Operations Research, Machine Learning and Statistics. This role requires a candidate who is able to balance technical and business judgment about technology, models and methodologies. Key job responsibilities 1) Implement an advanced maintenance framework (condition based monitoring approaches) to drive equipment performance resulting in reduced unplanned downtime. 2) Operations Research - Building Labor planning solution that allows optimal schedule for technicians in RME. 3) Build a global condition based alerting system sends notifications to the sites ahead of potential equipment failure. A day in the life As a Senior Data Scientist in DST you will be focused on leading the design and development of innovative approaches and solutions through technical work supporting RME's Predictive Maintenance (PdM) and Condition Based monitoring programs. You will connect with Global Leaders in your field to understand their pain points and provide recommendations on the solutions. The appropriate choice of scientific methods and their deployment into effective tools will be key for success in this role. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team Our mission is to leverage the use of data, science, and technology to improve the efficiency of RME maintenance activities, reduce costs, increase safety and promote sustainability while creating frictionless customer experiences. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA Basic Qualifications - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - Experience with statistical models e.g. multinomial logistic regression - Bachelors Degree with 6 years of experience in Machine Learning, Statistics or Operations Research Preferred Qualifications - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) - Experience working with scientists, economists, software developers, or product managers - Experience as a leader and mentor on a data science team - PHD or Masters Degree Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.