Data Science Intern Job - Karkidi

Data Science Intern

TuneIn
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Job Description

At TuneIn, we are reinventing radio for a connected world with live sports, up-to-the-minute news, curated music, millions of podcasts, and over 120,000 streaming radio stations—streamed to tens of millions of customers through our mobile and web apps, and our unmatched platform of hundreds of consumer device and service integrations. From smartphones to smart speakers to electric cars, TuneIn delivers live and on-demand audio from voices you trust wherever you want to listen.

  • Full-time, summer internship
  • Location: San Francisco, Los Angeles, New York (Remote)
  • Compensation: $35/hour
  • Duration: 3 months

The Role

As a Data Science Intern, you will develop innovative machine-learning algorithms that power the core listener experience at TuneIn. Specifically, You will work on making data-driven improvements and building machine-learning models to improve and organize TuneIn’s Search experience. You will collaborate with Data Scientists, Product, and Engineering to identify areas of opportunity, develop and deploy data products, optimize content discovery, run experiments around product features, and build data-driven solutions to improve user experience and growth. You’ll be solving complex problems that help define our understanding of how our users engage with live and on-demand audio content.

What You’ll Do:

  • Develop state-of-the-art ML models for TuneIn’s varied personalization and search use-cases
  • Collaborate with a cross-functional team of Data Scientists, Product Managers, and Engineering to spec out impactful personalization solutions
  • Build data products to improve our understanding of our users, content, and how our users engage with content
  • Analyze product and business success metrics, monitoring and surfacing drivers of KPIs
  • Own the full ML life cycle for a significant new ML product
  • Perform exploratory analyses to understand the performance of our machine learning systems and evaluate new models
  • Create reporting solutions (e.g., dashboards) for business leaders and team members, turning data into an actionable and compelling narrative with visualizations (e.g., charts, graphs, tables) - including the design and development of data tables to support them
  • Design, analyze and interpret the results of experiments.

What We’re Looking For:

  • Bachelor's degree in Computer Science or related quantitative field with experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
  • You are an independent thinker, able to work autonomously, capable of taking on loosely defined problems, and translating complex thinking into practical solutions.
  • Programming experience with Python, R, Java, or C++.
  • Proven ability to translate insights into business recommendations.
  • A lifelong learner with a growth mindset.
  • Experience with deep learning development (Tensorflow / PyTorch) is a plus.

Company Info.

TuneIn

TuneIn is a global audio streaming service delivering live news, radio, sports, music, and podcasts to over 75 million monthly active users. TuneIn is operated by the company TuneIn Inc. which is based in San Francisco, California. The company was founded by Bill Moore in 2002 as RadioTime in Dallas, Texas.

  • Industry
    Media
  • No. of Employees
    150
  • Location
    San Francisco, CA, USA
  • Website
  • Jobs Posted

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