Sr. Data Scientist

DESCRIPTIONAWS Sales Marketing and Global Services SMGS is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services Do you have proven analytical capabilities to identify business opportunities develop predictive models and optimization algorithms to help us build state of the art Support organization At Amazon we are working to be the most customer-centric company on earth To get there we need exceptionally talented bright and driven people We set big goals and are looking for people who can help us reach and exceed them Amazon Web Services AWS is one of the world s most comprehensive and broadly adopted cloud platform offering over 200 fully featured services from data centers globally Amazon Web Services Inc provides services for broad range of applications including compute storage databases networking analytics machine learning and artificial intelligence AI Internet of Things IoT security and application development deployment and management Global AWS Support BizOPs team is looking for a passionate Data Scientist to model contact forecasting discovering insights and identifying opportunities through the use of statistics machine learning and deep learning to drive business and operational improvements A successful candidate must be passionate about building solutions that will help drive a more efficient operations network and optimize cost In this role you will partner with data engineering Tooling team operations Training Customer Service Capacity planning and finance teams driving optimization and prediction solutions across the network Key job responsibilities We are looking for an experienced and motivated Sr Data Scientist with proven abilities to build and manage modeling projects identify data requirements build methodology and tools that are statistically grounded The candidate will be an expert in the areas of data science optimization machine learning and statistics and is comfortable facilitating ideation and working from concept through execution The candidate is customer obsessed innovative independent results-oriented and enjoys working in a fast-paced growing organization An interest in operations manufacturing or process improvement is helpful The ability to embrace this ambiguity and work with a highly distributed team of experts is critical As we scale up there is opportunity to own globally impactful work and grow your career in technical programmatic or people leadership You will likely work with Python or R though specific particular modelling language Your problem-solving ability knowledge of data models and ability to drive results through ambiguity are more important to us A day in the life Diverse Experiences AWS values diverse experiences Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply If your career is just starting hasn t followed a traditional path or includes alternative experiences don t let it stop you from applying Why AWS Amazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform We pioneered cloud computing and never stopped innovating - that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses Inclusive Team Culture Here at AWS it s in our nature to learn and be curious Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences Ongoing events and learning experiences including our Conversations on Race and Ethnicity CORE and AmazeCon gender diversity conferences inspire us to never stop embracing our uniqueness Mentorship Career Growth We re continuously raising our performance bar as we strive to become Earth s Best Employer That s why you ll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional Work Life Balance We value work-life harmony Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture When we feel supported in the workplace and at home there s nothing we can t achieve in the cloud BASIC QUALIFICATIONS- 7 years of data querying languages e g SQL scripting languages e g Python or statistical mathematical software e g R SAS Matlab etc experience - 7 years of data scientist experience - Experience with statistical models e g multinomial logistic regression - Bachelor s degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer sciencePREFERRED QUALIFICATIONS- 5 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team