Data Scientist III (Level 6), Stores PXT Analytics Team
New York City, USA
Full Time Senior-level / Expert USD 143K - 247K
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...This magnificent challenge is a terrific opportunity to analyze Amazon’s data and generate actionable recommendations using optimization and simulation. Come build with us!
In this role, your main focus will be to perform analysis, synthesize information, identify business opportunities, provide project direction, and communicate business and technical requirements within the team and across stakeholder groups. You will consider the day-to-day needs of our continuously evolving analytics world and insist on the standards required to build automated and scalable solutions for tomorrow. You will assist in defining trade-offs and quantifying opportunities for a variety of projects. You will learn current processes, build metrics, educate diverse stakeholder groups, assist in initial solution design, and audit all model implementations. A successful candidate in this position will have a background in communicating across significant differences, prioritizing competing requests, and quantifying decisions made.
The ideal candidate will have a strong ability to model real-world data with high complexity and deliver high-quality analysis, data products, and optimization models for strategic decisions. They are excited to be part of, and learn from, a large tech and non-tech team, ready to dig into the details to find insights that direct decisions. The successful candidate will have good communication skills and an ability to speak at a level appropriate for the audience, and will collaborate effectively with scientists, product managers, and business stakeholders.
Key job 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.
About the team
Amazon Stores People Experience Technology (PXT) Analytics Team owns and creates the necessary data modeling to facilitate reporting and analytics, acquire new data sources, and build comprehensive data visualizations across the employment lifecycle, including promotions, retention, and transfers within the Amazon Stores Organization. The team owns the provision of Descriptive, Diagnostic, Predictive, and Prescriptive Analytics for the PXT Talent Management (TM) organization and beyond. Carrying the leaders, employees, and customers through the different transformational stages of data analytics, reporting and program implementation to drive deep learnings, process improvements, and strategic recommendations through employee data.
Basic Qualifications
- 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 Qualifications
- 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.
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 $143,300/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.
Tags: AWS Business Analytics Business Intelligence Clustering Computer Science Data analysis Data Analytics Data pipelines Data visualization EC2 Economics EDA Engineering Feature engineering Finance Generative AI Hadoop LLMs Machine Learning Mathematics Matlab ML models Pipelines Prototyping Python QuickSight R Redshift SAS SQL Statistical modeling Statistics
Perks/benefits: Career development Equity / stock options
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Junior Data Analyst jobs
- Open Data Science Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open BI Analyst jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Software Engineer, Machine Learning jobs
- Open Junior Data Scientist jobs
- Open Azure Data Engineer jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Analytics Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Analyst II jobs
- Open Data Engineering Manager jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open LLMs-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Hadoop-related jobs
- Open Docker-related jobs