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Amazon Web Services (AWS) · 2 days ago
Senior Data Scientist, Sales Insights
New York, United States
Full-time
Onsite
Senior Level
$143K/yr - $248K/yr
4+ years exp
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Responsibilities
Work with business stakeholders, product managers, data scientists, and engineers to translate business problems into the right machine learning, data science, and/or statistical solutions.
Execute every stage of the machine learning development life cycle; researching, developing, deploying, scheduling in production, measuring adoption, improving, and maintaining.
Build state of the art causal inference models to help the business understand its key drivers
Work with large volumes of structured and unstructured data spread across multiple databases. Design and implement data pipelines to clean and merge these data for research and modeling.
Use AWS services (AWS Redshift, S3, EC2, Glue, etc) to deploy scalable ML models in the cloud.
Communicate insights to business owners in concise, non-technical language.
Examples of projects include: propensity-to-buy prediction and explanation, product recommendation, forecasting, anomaly detection, text classification, generative AI content generation
Qualification
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Required
Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
Experience with statistical models e.g. multinomial logistic regression
Experience managing data pipelines
Preferred
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
Benefits
Medical benefits
Financial benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10,001+ employees
Funding
Current Stage
Late StageLeadership Team
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Rajesh Jindal
Finance Director and CFO - AWS EMEA Commercial Sales
Recent News
2024-06-01
Company data provided by crunchbase
