Data Science Manager

Full time

Employment Information

Job levelSenior level

IndustrySoftware Development

Experience5+ years

LocationAustin, TX, United States

The position you were interested in has been filled or expired, but we invite you to explore other exciting job openings on our platform to find your next career opportunity.

Description

Operations Technology Solutions (OTS) data team is looking for a data science manager to join our team. The data science manager is expected to use advanced analytics technologies, including machine learning and predictive modelling, to support the identification of trends, scrape information from unstructured data sources and provide automated recommendations and data-driven solutions for business decisions.

Key job responsibilities

Mining and analyzing data from company databases using APIs or building ETL pipelines to improve overall business strategies
Data cleaning using programming languages (e.g. Python)
Prepare and extract data using programming language, developing A/B testing campaign frameworks and testing model quality
Statistical analysis using machine learning algorithms such as natural language processing, logistic regression, Random Forest or gradient boosting
Create advanced machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees and, neural networks
Creating programming and automation techniques, such as libraries, that simplify day-to-day processes using tools to develop and train machine learning models
Perform large-scale experimentation to identify hidden relationships between variables in large datasets
Developing big data infrastructures, implement cutting-edge techniques and tools in machine learning, deep learning and artificial intelligence to make data analysis more efficient
Develop artificial intelligence models and algorithms and implement them to meet the needs of the organization
Implement new 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
Visualize data in a way that allows a business to quickly draw conclusions and make decisions
Communicating and coordinating with teams to implement data-driven strategies while measuring progress
Lead a team of data scientists

We are open to hiring candidates to work out of one of the following locations: Austin, TX, USA | Charlotte, NC, USA | Nashville, TN, USA

Basic qualifications

Bachelor’s degree in computer science, mathematics, statistics, computer systems engineering or equivalent quantitative field
5+ years work experience as a data scientist or similar role
5+ years of building quantitative solutions as a scientist or science manager experience
5+ years of applying statistical models for large-scale application and building automated analytical systems experience
2+ years of scientists or machine learning engineers’ management experience
2+ years people leadership experience
Knowledge of Python or R or other scripting language
Ability to create data architectures, programming, statistics and probability, data wrangling and database management
Knowledge of machine learning techniques and programming languages
Knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets
Data visualization and cloud computing
A desire to learn new techniques and technologies
Flexibility to work as a team leader, a member of the team, and as an individual contributor
Oral and written communication skills
Problem-solving skills

Preferred qualifications

MBA, MS, or MA in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Relevant training and/or certifications as a Data Scientist
Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)
Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems

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.#