Data Scientist

Date: Sep 13, 2023

Location: Bangalore, IN

Company: Dolby Laboratories, Inc.

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

Scope and responsibilities

The audio and video technologies developed by Dolby are implemented in billions of device and service offerings worldwide. Billions of people around the world use Dolby technologies to create, edit, and enjoy multimedia content. For us, it is crucial to understand how the technologies we built are being used and experienced on a daily base. To do so, we are investing in a comprehensive, large-scale data platform and data science effort.

Therefore, Dolby is looking for an AI researcher/mathematician to analyze large amounts of raw data generated continuously from various systems. This role is responsible for helping build advanced data analysis tools and automated analytics using machine learning and artificial intelligence. You will develop statistical modelling and prediction algorithms based on a variety of data types including audio, speech, image, and text data coming from a variety of sources. These algorithms will help us understand how users engage with our technologies. We will gain a deeper understanding how users worldwide feel and think about the experiences we enable as a company. These insights will be crucial to define our technology and investment directions.


  • Research, develop and apply data science, machine learning, and statistical methods to large sets of multimedia, contextual, and metadata data. Mine data using modern tools and programming languages.
  • Design state-of-the-art data analysis techniques to understand how Dolby technologies are being deployed and used.
  • Design state-of-the-art data analysis techniques to understand how users engage in interactive multimedia experiences delivered by Dolby.
  • End-to-end planning and execution of data science initiatives scoping, building, testing, implementation, maintenance, tracking and optimisation of predictive models.
  • Influence technology strategy with data, be focused on impact, and collaborate with other teams.
  • Maintain proficiency within the data science domain by keeping up with technology and trend shifts.
  • Foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
  • Build automation needed for effective labelling of data, perform data preparation, and data augmentation required for the training and deployment of the artificial intelligence algorithms and frameworks.
  • Create tools for data processing, labelling, analysis and generating synthetic data.
  • Help with and support the development of scalable data pipelines to support increasing data volume and complexity. Support enhancing data sets, provide labelling methodologies and perform data preparation required ML algorithm research.
  • Present information to different stakeholders using data visualization techniques.



Education & Experience

  • PhD degree in Mathematics, Artificial Intelligence, Computer Science, or equivalent.
  • Strong background in mathematical modelling, stochastics research, artificial intelligence.
  • Background in statistical signal processing, decision theory, greedy algorithms, dynamic programming, Bayesian modelling, random algorithms, time series analysis, hypothesis testing, classification, clustering, hypothesis testing and multivariate regression analysis.
  • Experienced in designing experiments, defining hypotheses, and developing statistical model to reach a scientifically sound conclusion.
  • Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.
  • Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
  • Ability to define and create complex models to pull valuable insights, predictions and innovation from data.
  • Experience working with large, sparse, and noisy datasets.
  • Proficiency in Python required. Proficiency in C/C++, Matlab desired
  • Desired:  
    • Experience with SQL/MySQL, Databricks, Spark/PySpark and AWS.
    • A-grade extract, transform, and load (ETL) skills for data wrangling heavily around the unstructured data using big-data technologies such as Hadoop/Spark.
    • Experienced in preprocessing of structured and unstructured data and prepare them for ML/AI learning systems.
  • Strong communication skills and data reporting/visualization capabilities
  • Strong interpersonal skills, ability to work as part of a global R&D team.



Build your career profile, also within the Careers tab in Employee Central to open the possibility of new opportunities finding you. Express your interest. If you want to express your interest in a specific opportunity and be contacted by a recruiter, click the apply button associated with the relevant job description. The Recruiter is the only one who will see your application.

Please refer to the recruiting website for more information: