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Senior Data Scientist
Amazon Newark, NJ
Apply
$123k-151k (estimate)
Full Time | Transportation 1 Week Ago
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Amazon is Hiring a Senior Data Scientist Near Newark, NJ

DESCRIPTION

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.
ABOUT THIS ROLE
Are you excited about an opportunity to apply your experience and passion for Machine Learning (ML) and GenAI to analyze, model and understand content? To improve and create new capabilities for content discovery and recommendations? Are you a data scientist who’s eager to innovate and build scalable solutions that could identify the next best-sellers, or help millions of customers find their next best listen? If so, this position may be for you!
ABOUT THE TEAM
Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment. Data Scientists are members of an interdisciplinary research team with an integral role in the design and integration of models to support or automate decision making throughout the business in every country. Team members should be capable of modeling in the many areas of the business related, but not limited to content.
ABOUT YO
We are looking for a motivated, results-oriented Data Scientist with strong rigor and demonstrable skills in Experimentation, NLP, ML, DL, GenAI, data mining and/or large-scale distributed computation.
As a Senior Data Scientist, you will...
- Identify necessary, relevant, and novel data sources residing throughout the company, from Amazon, from third party vendors, and from novel – yet to be acknowledged sources
- Acquire data, which often means building the necessary SQL / ETL queries, import processes through various company specific interfaces
- Explore data in order to deeply understand the phenomenon being modeled, and the validity and reliability of the inputs
- Analyze and decompose the written/spoken word, the story, the author: conduct research on problems specific to the Natural Language Processing field, leverage LLMs in solving problems
- Develop models that can go directly into production, and build working prototypes
- Validate models against alternative approaches, expected and observed outcome, and numerous directly and indirectly relevant business defined key performance indicators
- Review models of peers for the purpose of reducing and managing risk to the business, and maximizing improvement of business practice and customer experience
- Build processes to provide business stakeholders timely, relevant insights, scenarios and recommendations
- Link content representations to content success metrics through the use of Machine Learning / predictive modeling
- Build new content-based personalized recommendation strategies
ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. Our Hub Home hybrid workplace model gives employees the flexibility between gathering in a common office space (work from hub) and remote work (work from home). For more information, please visit adbl.co/hybrid.
We are open to hiring candidates to work out of one of the following locations:
Newark, NJ, USA

BASIC QUALIFICATIONS

- Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, Applied Math, or other STEM fields
- 2 year experience in industry (can be combined experience as intern/contractor)
- 2 years in building statistical models and ML models using large datasets from multiple resources
- 3 years working with Python
- 2 year with non-linear models such as Neural Nets / Deep Learning and/or Gradient Boosting
- 1 year of working on problems specific to Natural Language Processing and/or Large Language Models
- 1 year using database technologies such as SQL / ETL
- Experience explaining complex models and analysis results in clear, easy-to-understand language for non-technical audiences

PREFERRED QUALIFICATIONS

- PhD degree in Data Science, Machine Learning, Statistics, Computer Science, Applied Math, or other STEM fields
- 1 year experience in industry working with Customer, Content, or Product data modeling
- 4 years in building statistical models and ML models using large datasets from multiple resources
- 3 year with non-linear models such as Neural Nets / Deep Learning and/or Gradient Boosting (including experience with Large Language Models)
- Experience applying theoretical models in an applied environment
- Familiarity with AWS
- Verbal and written communication and data presentation skills – with experience in publishing to scientific conferences
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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Transportation

SALARY

$123k-151k (estimate)

POST DATE

05/01/2024

EXPIRATION DATE

06/30/2024

HEADQUARTERS

RANDALLSTOWN, MD

SIZE

25 - 50

FOUNDED

2018

REVENUE

$50M - $200M

INDUSTRY

Transportation

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The job skills required for Senior Data Scientist include Data Science, Machine Learning, Python, Insight, SQL, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Scientist job description and responsibilities

Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.

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Collating and cleaning data from various entities for later use by junior data scientists.

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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.

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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.

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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Scientist jobs

Present final result to stakeholders. Make adjustments based on feedback.

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Learn the required skills to become a data scientist.

03/27/2022: Gulfport, MS

Review additional data scientist certifications and post-graduate learning.

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Ask the right questions to begin the discovery process.

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Choose one or more potential models and algorithms.

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Step 3: View the best colleges and universities for Senior Data Scientist.

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