Data Scientist

Key Skills

Aartificial intelligence, Analytical and Problem solving, Apache Hadoop, AWS, C Programming, C++, Databricks, ETL/ELT technologies, Machine learning techniques, MATLAB Programming, MySQL, PySpark, Python Programming, Spark Core, SQL

Job Description

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 devices 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 a data scientist to analyze large amounts of raw data generated continuously from various systems.

The data scientist 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 of 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.
• Providing state-of the art data analysis helps to understand how Dolby technologies are being deployed and used.
• Providing state-of the art data analysis helps 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, and 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:

• Master or PhD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
• Strong background in statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis.
• Experienced in designing experiments, defining hypotheses, and developing statistical models to reach a scientifically sound conclusion.
• Passionate about and accomplished in data-driven machine-learning and research.
• 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.
• Audio-visual data analysis.
• Strong mathematical, analytical, and problem-solving skills.
• Experienced using SQL/MySQL, Databricks, Spark/PySpark and AWS.
• Proficiency in Python is required. Proficiency in C/C++, Matlab desired.
• A-grade extract, transform, and load (ETL) skills for data wrangling heavily around unstructured data using big-data technologies such as Hadoop/Spark.
• Experienced in preprocessing of structured and unstructured data and preparing 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.