Los Angeles Times
Sr. Data Scientist (Finance)
Join the hundreds of talented and innovative team members who are making an impact every day at California Times, incorporating Los Angeles Times and San Diego Union-Tribune, two of the most iconic media brands in the nation. Whether you love to tell compelling stories or want to drive our award-winning powerhouse in new directions, the Los Angeles Times team is the place to be.
Join the hundreds of innovators, advocates and team members who are making an impact every day at one of the most iconic media brands in the nation. Whether you love to tell compelling stories or want to drive our award-winning powerhouse in new directions, the Los Angeles Times team is the place to be.
You will be part of our data organization, where you'll have the chance to work with a diverse team that includes data engineers, analysts, and consumer researchers. Our goal is to help instill a data-first culture that empowers the newsroom and informs business operations. As a Senior Data Scientist at the Los Angeles Times, you will have the chance to develop data-driven products from our rich news content that is consumed every month by nearly 30 million people from around the world.
Responsibilities:
Apply advanced statistical and machine learning techniques to translate the needs of the newsroom into reliable, valid models in order to: Identify moments or subgroups of interest, classify users or content, highlight patterns, anomalies, relationships, and trends, support long-term solutions and inform decision making.
Wrangle constantly changing, large, complex, high volume, high dimensional, sparse data.
Collaborate with business stakeholders and subject matter experts to ensure that developed solutions are practical and meet their needs in a timely fashion.
Be a key resource for other data scientists through providing guidance on statistical methods and research design.
Clearly communicate technical work to colleagues from across the Los Angeles Times, including non-technical colleagues
Qualifications:
4+ years of experience in analytics and data science.
Expert in at least one programming language for data analysis (R required; Python, both is a plus).
Demonstrated ability to develop R packages.
Strong knowledge of SQL and relational databases.
Experience with reporting and visualization solutions such as R Shiny, PowerBI, Tableau, or D3.
Familiarity with reproducible research best practices.
Ability to explain technical concepts and analyses clearly to a wide audience.
(Desired) Knowledge of experiment design and experience implementing A/B tests.
Education:
Bachelors degree in a quantitative or computing focused degree (PhD preferred) or equivalent experience.
Thank you for your interest in joining our team at the Los Angeles Times! We look forward to reviewing your application.