Data Scientist jobs in United States, New Jersey, Newark

ABOUT THIS ROLE
As a Data Scientist, you will....- Develop innovative descriptive analysis, modeling, and experimental approaches to drive actionable insights
ABOUT AUDIBLE

- Undergraduate degree in: Statistics, Economics, Computer Science, Engineering, Applied Math, or a similar/related quantitative field
- 1+ year hands-on work experience in an applied/industry setting using SQL and Python, or similar, to work efficiently at scale with large data sets, constructing empirical analysis, modeling, and compelling data visualizations
- Experience formulating and solving challenging optimization and/or measurement problems

ABOUT THIS ROLE
At Audible, you will have an opportunity to make the best of your skillsets to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data and engaging in cutting-edge research to solve the business problems. You’ll seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders. You will be at the heart of an agile and growing area at Audible.
As a Data Scientist, you will...- Perform content evaluation, apply natural language processing, analyze attributes and representations (in text, audio, cover art), generate content recommendations, and identify trends
- Conduct product-related analyses including user click stream analysis, search engine optimization, and product recommendations
- Evaluate marketing performance across earned, paid, and owned media evaluationABOUT AUDIBLE

- Currently pursuing a MS/PhD in computer science, statistics, mathematics, operations research, data science, economics, or another discipline involving experimental design and quantitative analysis of experimental data
- 1+ years of hands-on experience with machine learning, predictive modeling, and/or statistical analysis techniques
- Development experience with Python or equivalent scripting languages
- Experience in extracting data using SQL

- Exposure to software engineering environments (version control, command line)
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
- Experience with causal inference methodologies for quasi-experimental settings (Synthetic Control, Difference-in-Difference, Regression Discontinuity, Propensity weighting)
- Experience in forecasting methodologies
- Ability to tackle very loosely defined problems and consistently deliver elegant, modular and scalable solutions in a timely manner

ABOUT THIS ROLE
In this key role, you will be at the forefront of shaping and advancing our Data Engineering solutions, primarily through the enhancement of our existing data platform. Additionally, you will collaborate with various elements of our global data ecosystem. Working closely with Global Analytics business stakeholders, your duties will encompass data integration, data modeling, execution of ETL (Extract, Transform, Load) processes, and the implementation of flexible data solutions. These solutions will be meticulously designed with a strong emphasis on data quality, adhering to the best practices in data warehousing. These efforts are crucial for the success of our data-driven initiatives.ABOUT YOU
You are a highly skilled programming specialist who will be actively involved in the design, development, troubleshooting, debugging, evaluation, support, and enhancement of data engineering solutions. You will leverage existing system architectures to expand the capabilities of these applications, with a strong focus on optimizing data pipelines. This will result in more efficient and streamlined data processes, ultimately empowering end users to excel in their tasks with increased effectiveness and efficiency.As a Programmer Analyst, you will...- Develop systems and datasets by applying software engineering best practices, fundamental data management principles, contemporary distributed systems
- Create, maintain, and optimize data pipelines for ingesting, transforming, and loading data from various sources into data storage systems
- Identify and resolve performance bottlenecks in data pipelines, databases, and related systems- Produce technical documentation to support data delivery developmentABOUT AUDIBLE

- Bachelor’s degree or higher in computer science or equivalent
- 1+ years of experience in a Data Warehouse (DWH) environment and experience with Data integration/ETL of large and complex data sets

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As the Sr. SAP Plant Maintenance Lead, you will manage the design, development and implementation of SAP Plant Maintenance projects and new functionalities within the Kuiper Enterprise Systems (ERP : S4 HANA) that allow for the rapid development and production of Space Hardware and reliability of equipment used to manufacture the same. The implementation of these systems are critical to scalability and cost effective business operations. We are looking for candidates who thrive in a fast-paced, start-up like environment. To be successful you need to be highly motivated and detail oriented while showing highest standards of execution.You will collaborate with business customers, companion system functional owners, solution architects and other personnel to develop dynamic and dependable systems to meet the emerging demands of internal customers in manufacturing. Develop Business requirements documents (BRDs), Functional Specifications (FS) and review test documentation. Work in compliance with the programming and documentation standards and solve production problems in a timely manner.
Key job responsibilities
- Build SAP PM based solution and handle all the deployment related activities. Build reports and deploy. Integration with MES Shop Floor Systems.
- Active participation in Requirements gathering, Functional Specifications, High Level Documentation, Integration Test, User Acceptance Test and go-lives to ensure success and meet customer requirements.- Building Proof of Concepts (POCs) in lower tier environments based on the business requirements
- Support improvement for integration areas including SAP PP, QM, MM, and Scheduling.
- Develop requirements and Functional Specs for Fiori Applications in the PM space
- Support various testing procedures (Unit testing, Integration testing, automated test scripts).A day in the life
You will conduct defect analysis and perform necessary fixes and improvements for any bugs witnessed in production. Collaborate with functional owners, architects and other personnel to develop dynamic and flexible systems to meet the emerging demands of internal customers in manufacturing and maintenance. Develop functional specification and estimations for assigned projects. Work in compliance with the programming and documentation standards and solve production problems in a timely manner.

- 5+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience

ABOUT THIS ROLE
As an Applied Scientist on our Product Science team working closely with Customer Service, you will solve complex problems at scale by leveraging Machine Learning, Natural Language Processing, and GenAI to transform our customer support experience. You'll work on initiatives that reduce human-assisted contacts by developing smart routing systems, implementing intelligent data analysis, and creating AI-powered tools that anticipate customer needs.Your work will focus on key projects outlined in our strategic plan, including:
- Supporting AI chatbot implementation across multiple marketplaces and languages
- Contributing to Help Center personalization efforts and integration with AI-powered conversational agentsAs an Applied Scientist, you will...
- Contribute to initiatives employing recent advances in AI in a fast-paced, experimental environment
- Support our goal of achieving cost reductions through AI-powered automation
ABOUT AUDIBLE

- MSc +5 years of relevant experience, or PhD in Computer Science, Computer Engineering, Machine Learning, Data Science, Applied Math, or related quantitative field
- Experience understanding data structures, algorithms, and software development
- 3+ years of experience in Deep Learning, Natural Language Processing/Understanding, or GenAI
- Experience in Python, SQL, and other scripting languages
- Experience in employing LLMs/GenAI to solve complex problems

- PhD +1 years of relevant experience
- Experience with customer service technologies or support systems
- Background in conversation analysis, sentiment detection, or automated quality assessment
- Experience with AWS services (S3, SageMaker, EMR)
- Familiarity with building recommendation systems or customer intent classification models
- Experience with Agile Software Development
- Programming proficiency in at least one compiled language (Java, C++, C#)
- Publications in peer-reviewed conferences or journals

ABOUT THIS ROLE
As an Applied Scientist, you will solve large complex real-world problems at scale, draw inspiration from the latest science and technology to empower undefined/untapped business use cases, delve into customer requirements, collaborate with tech and product teams on design, and create production-ready models that span various domains, including Machine Learning (ML), Artificial Intelligence (AI), Natural Language Processing (NLP), Reinforcement Learning (RL), real-time and distributed systems.ABOUT YOU
As an Applied Scientist, you will...- Design, develop, and deploy modeling techniques that focus on Content Understanding, Recommendations, GenAI-based application, by employing a wide range of methodologies, working from simple to complex
- Contribute to initiatives that employ the most recent advances in ML/AI in a fast-paced, experimental environment
- Push the boundary of innovationABOUT AUDIBLE

- MSc + 5ys of relevant experience, or PhD in one of the following disciplines: Computer Science, Computer Engineering, Machine Learning, Data Science, Applied Math, or a related quantitative field
- Understanding of data structures, algorithms, software development
- 3+ years of experience in Deep Learning, Natural Language Processing/Understanding, Reinforcement Learning and/or GenAI
- Proficiency in Python, SQL, other scripting languages
- Experience employing and innovating with LLMs/GenAI to solve complex problems

- 2+ years of industry experience in with ML/AI projects in addition to PhD
- Experience with building Recommendations Systems
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
- Experience with Agile Software Development
- Experience with programming in at least one compiled programming language such as Java, C++, C#
- Publications at top-tier peer-reviewed conferences or journals

ABOUT THIS ROLE
At Audible, you will have an opportunity to make the best of your skillsets to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data and engaging in cutting-edge research to solve the business problems. You’ll seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders. You will be at the heart of an agile and growing area at Audible.
As a Data Scientist, you will...- Perform content evaluation, apply natural language processing, analyze attributes and representations (in text, audio, cover art), generate content recommendations, and identify trends
- Conduct product-related analyses including user click stream analysis, search engine optimization, and product recommendations
- Evaluate marketing performance across earned, paid, and owned media evaluationABOUT AUDIBLE

- MSc in one of the following disciplines: Computer Science, Computer Engineering, Machine Learning, Data Science, Applied Math, or a related quantitative field
- Experience in understanding of standard data structures, algorithms, and software development
- Fluency in Python, SQL or similar scripting languages
- Algorithm development experience
- Breadth in ML technologies
- Experience in employing LLMs/GenAI to solve problems

- PhD in one of the following disciplines: Computer Science, Computer Engineering, Machine Learning, Data Science, Applied Math, or a related quantitative field
- 1+ years of industry experience in Deep Learning, Natural Language Processing/Understanding, Reinforcement Learning and/or GenAI
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
- Experience with Agile Software Development
- Experience with programming in at least one compiled programming language such as Java, C++, C#
- Publications at top-tier peer-reviewed conferences or journals