Logo of Huzzle

Home

Matches

Explore

Manage

Applied Scientist

image

Audible

2mo ago

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development
  • Berlin

AI generated summary

  • You need an MS/PhD, 5+ years experience, fluency in Python/SQL, skills in Java/C++, expertise in ML algorithms, AWS pipeline orchestration, big data with Spark, and relevant publications.
  • You will develop AI fraud detection solutions, build data pipelines, collaborate with global teams, and share insights to enhance Audible's data science capabilities.

Requirements

  • MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field +5 yrs relevant experience; or PhD
  • Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages
  • Experience in algorithm development
  • Depth and breadth in state-of-the-art machine learning technologies
  • Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
  • Big Data Engineering with Spark / AWS EMR & Glue
  • Domain knowledge of comparable products (digital, retail)
  • Publications at top-tier peer-reviewed conferences or journals in one of those areas (natural language processing/understanding, deep learning, machine learning, or speech processing)
  • Proven track record of innovation in creating novel algorithms and advancing the state of the art

Responsibilities

  • Protect Audible’s customers and content creators against the onslaught of AI-generated fraud
  • Develop Amazon-scale data engineering & modeling pipelines
  • Imagine and invent before the business asks, and create groundbreaking fraud detection and mitigation solutions using cutting-edge approaches
  • Work closely with other data scientists, ML experts, engineers as well as business across the globe, and on cross-disciplinary efforts with other scientists within Amazon
  • Contribute to the growth of the Audible Data Science team by sharing your ideas, intellectual property and learning from others

FAQs

What qualifications are required for the Applied Scientist position at Audible?

Candidates must have an MS in a relevant quantitative field with 5 years of experience or a PhD.

What programming languages should I be proficient in for this role?

Fluency in Python and SQL is required, along with skills in Java, C++, or other programming languages.

What kind of experience is needed in machine learning for this position?

Candidates should have depth and breadth in state-of-the-art machine learning technologies, experience in algorithm development, and machine learning pipeline orchestration with AWS or similar cloud platforms.

Is domain knowledge required for this role?

While it's preferred, candidates with domain knowledge of comparable products (digital, retail) will be favored but not strictly required.

Are there opportunities for innovation in this role?

Yes, the role encourages inventing groundbreaking fraud detection and mitigation solutions, allowing for a proven track record of innovation in creating novel algorithms.

Will I be collaborating with other teams at Audible?

Yes, you will work closely with other data scientists, ML experts, engineers, and business teams across the globe on cross-disciplinary efforts.

What are the primary responsibilities of the Applied Scientist?

Responsibilities include developing fraud detection solutions, creating data engineering and modeling pipelines, and translating fraud patterns into actionable insights.

Are publications in top-tier conferences or journals required for this role?

While not required, having publications in top-tier peer-reviewed conferences or journals related to NLP, deep learning, or machine learning is preferred.

How does Audible support diversity in its hiring process?

Audible is committed to diversity and makes recruiting decisions based on candidates' experience and skills, valuing passion and the ability to discover and invent.

What kind of work environment can I expect at Audible?

Audible offers an agile environment that supports collaboration on research, design, and model development throughout various projects.

image

Audible

Entertainment & Media
Industry
1001-5000
Employees
1997
Founded Year

Mission & Purpose

At Audible, we innovate and inspire through the power of voice. We're changing the narrative on storytelling. As a leading producer and provider of original spoken-word entertainment and audiobooks, we've redefined the ways people access, discover, and share stories. The stories we tell have the ability to transport and transform everyday moments into meaningful experiences and it's our people who make Audible's service possible. We're listeners, storytellers, and problem-solvers. Our perspectives and experiences power our ideas and come together in our mission to unleash the power of the spoken word.

Benefits

  • Health, Dental, & Vision Insurance

    Under the weather? Call our 24/7 medical advice line for care anytime, anywhere. We’ve got you covered with medical, prescription, dental, and vision plans.

  • Wellness Reimbursement

    Let our wellness reimbursement spot you, from morning meditations to evenings on the elliptical. Because your well-being is priceless.

  • Life & Disability Insurance

    We recognize that financial security should not be a primary concern in times of critical care and bereavement. Life and disability insurance can offer you and your family peace of mind.

  • Paid & Volunteer Time Off

    We care about our people, both at work and in our communities. We want you to hit the refresh button with accrued paid time off (PTO) and connect with our neighbors and communities through time to pursue volunteer work.

  • Onsite Fitness Center

    Seated desk stretches only go so far. In select Audible hubs, our onsite gym is here to help you stay energized and put those miles in on our treadmill, not your gym commute.