Data Scientist Aws Activate at Amazon

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Job summaryThe AWS Activate Program provides startups the resources they need to grow successfully on AWS. We do this by understanding the uniqueness of each and every startup that applies for Activate, and then personalizing the resources we make available to them. Our resources include (but are not limited to) AWS service credits, Business Support credits, technical education and training, opportunities for business and technical mentorship from Amazonians and startup peers, and personalized growth benefits. The Activate Personalization Team is the brains behind the Activate system. This team is responsible for ingesting startup data from multiple internal and external services, aggregating it into a holistic startup profile, and creating and productionizing ML models. Our team is looking for an experienced Data Scientist (DS) with outstanding leadership skills and the proven ability to build and manage medium-scale modeling projects. The candidate will be an expert across multiple data science domains including data transformation, machine learning, and statistics. Key job responsibilities
Research cutting edge algorithms, develop new models, and design and run experiments to improve customer personalizationPartner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customersCollaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data qualityManipulate/mine data from databases (Redshift, SQL Server, Oracle DW, and Salesforce)
BASIC QUALIFICATIONS
Master's degree in Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science, or a related quantitative field or equivalent experience2+ years of experience with data querying languages (e.g. SQL, Hadoop/Hive, Scala) and statistical/mathematical software (e.g. R, Matlab, Stata)2+ years working experience as a Data Scientist or related positions
PREFERRED QUALIFICATIONS
Experience in an operational environment developing, fast-prototyping, piloting and launching analytic productsExperience in writing academic-styled papers for presenting both the methodologies used and results for data science projectsExperience with AWS services (Redshift, S3, EC2, Lambda, SNS/SQS, RDS, Aurora)Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• The pay range for this position is $136,000 - $207,500 (yr.); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.
*This information is provided per the Colorado Equal Pay Act, the Pay Transparency Regulation of Jersey City Municipal Code, the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.