Easter Seals Jobs

Description

Are you a passionate Data Scientist (DS) ready to shape the future of digital content creation? At Amazon, we're building Earth's most desired destination for creators to monetize their unique skills, inspire the next generation of customers, and help brands expand their reach. We build innovative products and experiences that drive growth for creators across Amazon's ecosystem. Our team owns the entire Creator product suite, ensuring a cohesive experience, optimizing compensation structures, and launching features that help creators achieve both monetary and non-monetary goals.

Key job responsibilities

As a DS in our team you will:

• Collaborate with cross-functional leaders from business development, marketing, product, and engineering to implement measurable, data-driven strategies

• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.

• Perform large-scale experimentation to identify hidden relationships between variables in large datasets

• Implement statistical, machine learning, or other mathematical methodologies to solve specific business problems

• Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data

• Foster a culture of continuous learning and innovation

The successful candidate is self-driven and thrives in a fast-paced, innovative environment. You have deep expertise in accessing, manipulating, analyzing, and modeling large datasets across various platforms. You possess strong business acumen and excellent communication skills, and use them to effectively translate business requirements into scientific solutions. You stay current with emerging technologies and implement them strategically.

About the team

Our team is dedicated to supporting new members. We have a broad mix of domain specialists (Economics, Data Science, Applied Science), experience levels and tenures, and we’re building an environment that celebrates knowledge creation and sharing, and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic Qualifications

• Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

• 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience

• 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• Experience in communicating technically, at a level appropriate for the audience

• 2+ years of data scientist experience

Preferred Qualifications

• Experience in Python, Perl, or another scripting language

• Experience in a ML or data scientist role with a large technology company

• Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

• Experience applying theoretical models in an applied environment

• Experience implementing algorithms using both toolkits and self-developed code

• Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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.