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Company

Original Job Post

Amazon · 2 days ago

Data Scientist III

Seattle, WA

Full-time

Onsite

Senior Level

$143K/yr - $248K/yr

3+ years exp

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Responsibilities

Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models and working with Large Language Models.

Discover causal relationships in our data and recommend independent variables to be used in predictive and prescriptive analyses.

Proficiency in both Supervised (Linear/Logistic Regression) and Unsupervised algorithms (k means clustering).

Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management.

Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area.

Innovate by adapting new modeling techniques and procedures. Process large scale datasets using distributed computing platform to build models, mining insights from data and prototyping models that optimize towards various business goals and metrics.

Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets.

Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.

Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers.

Interact with cross-functional teams and make business recommendations i.e., cost-benefit, forecasting, experiment analysis and present findings to leadership team.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ExtractionStatistical ModelingData Querying SQLData Querying Hadoop/HiveData Visualization (AWS QuickSight)Machine LearningApplied EnvironmentAWSRedshiftS3EC2Generative AIData PipelinesSQLPythonRStatistical SoftwareData ModelingData EngineeringBusiness Intelligence

Required

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

3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.

3+ years of data querying languages (e.g., SQL, Hadoop/Hive) experience.

3+ years of data visualization using AWS QuickSight and similar tools.

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.

Experience applying theoretical models in an applied environment.

Preferred

Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).

Working knowledge of generative AI and hands-on experience in deploying and hosting Large Foundational Models.

Experience managing data pipelines.

Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) and statistical models.

Experience working with data engineers and business intelligence engineers collaboratively.

Benefits

Equity

Sign-on payments

Full range of medical, financial, and/or other benefits

Company

Amazon

Glassdoor

3.7

Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10,001+ employees

https://amazon.com

H1B Sponsorship

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Trends of Total Sponsorships

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2020 (14558)