Senior Data Scientist

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. We are seeking an experienced Data Scientist / ML Engineer to drive our AI strategy and apply machine learning capabilities for data engineering efforts at scale within Entertainment. The role will leverage data from various sources to uncover insights, forecast and prevent customer issues, operationalize data for increased awareness, and manage data pipelines, data harvesting, and data visualization processes. Responsibilities: Develop ML models and algorithms to analyze data, identify patterns, and predict outcomes Undertake preprocessing of structured and unstructured data for data collection processes Implement NLP and statistical analysis methods for text data Mentor and train junior data scientists, data engineers, and NLP engineers Collaborate cross-functionally to identify patterns in large datasets Document models, scripts, processes for transition of responsibilities Requirements: 3+ years experience as a Data Scientist/ML Engineer MSc or PhD in Computer Science, Statistics, Mathematics or related field Expertise in building ML models (regression, classification, clustering) with Python, Scala, or R Expertise with SQL and AWS tools (S3, EC2, Athena, RDS, Bedrock, Sagemaker) Knowledge of predictive modeling techniques and statistical analysis Ability to communicate complex data insights to non-technical stakeholders Passion for mentoring junior data scientists Nice to have: Experience with SDKs and software licensing data Knowledge of Dolby products and services Familiarity with Salesforce, Ingeniux, Sendgrid, Gitlab, Jira Experience with PowerBI, Tableau, or other BI tools

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