Data science [h1.location_city]

The Director of Data Science sets the enterprise data science vision and leads the strategic application of advanced analytics, machine learning, and experimentation to drive measurable business outcomes across the organization. Partnering closely with executive leaders across Product, Technology, Advertising, Subscriptions, and the Newsroom, the Director ensures that data science initiatives are tightly aligned with the company's long-term business strategy and digital transformation goals.

This leader establishes and executes the enterprise data science roadmap, prioritizing initiatives that unlock value, mitigate operational risk, and create new opportunities for revenue growth and audience engagement. The Director is accountable for the overall impact, adoption, and effectiveness of data science solutions across the business, shaping how data informs decisions at every level of the company.

Responsibilities :

• Lead the Data Science function and roadmap by setting enterprise-level strategy, establishing priorities, and guiding project execution to deliver actionable insights, predictive models, and automated decision tools that directly support business growth and risk mitigation.
• Oversee and ensure the development and operationalization of machine learning and statistical models to improve customer understanding, strengthen acquisition and retention strategies, optimize advertising and subscription performance, and elevate decision-making for product and content teams. Remain hands-on as needed to review approaches, guide complex analyses, and unblock critical work.
• Advance analytics and measurement frameworks by designing experiments, attribution models, forecasting tools, and media / campaign analytics that enable business units to evaluate performance and achieve revenue and engagement targets.
• Collaborate with engineering, data platform, and product teams to define expectations, prioritize integration efforts, and ensure models, pipelines, and data products are deployed into production environments using cloud data platforms and modern MLOps practices, ensuring reliability, scalability, and responsible data governance.
• Define the vision and priorities for innovative data products by integrating newsroom data, user behavioral signals, and business datasets to support content strategy, newsroom operations, audience insights, and new digital revenue opportunities.
• Establish best-in-class standards for analytical rigor, model validation, experimentation, documentation, and reproducibility to ensure trustworthy, transparent, and ethical data use across the enterprise.
• Hire, train and guide the Data Science team through technical leadership, professional development, hiring strategy, and a culture of innovation and continuous learning, resulting in strong team performance and retention.
• Communicate complex analytical findings in accessible language to executives, business partners, and non-technical stakeholders to influence strategic priorities and resource allocation.
• Other duties as assigned.

Requirements :

Preferred Qualifications :

Leadership experience in data-driven product innovation, such as building personalization, recommendation, or automation systems that directly impact customer experience or revenue.

The L.A. Times is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We actively work to create an inclusive environment where all of our employees can thrive. This Privacy Notice for Los Angeles Times sets forth how we will use the information we obtain when you apply for a position with us. Explore our company history, achievement, values, mission and more on our career site.

The pay scale the Company reasonably expects to pay for this position at the time of the posting is $180,000 to $200,000 and takes into account a wide range of factors including but not limited to skill set, experience, training, licenses, certifications, and other business or organizational needs. Compensation will be determined based on the above factors along with the requirements of the position. At the L.A. Times, it is not typical for an individual to be hired at or near the top of the range for the role. Please visit our career site to view the benefits available to our employees. We recommend adding our applicant tracking system domain (@dayforce.com) as a safe sender or contact, sometimes these emails get filtered to candidates' spam folders

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