Senior Data Scientist
New York, NY

Job Description

Job Description

The New York Times is a technology company committed to producing the world's most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert technologists who help NYT learn from a tremendous abundance of data unique to this company. The Times seeks a Senior Data Scientist to join the Data Science Group applying machine learning methods to meet this challenge, in close collaboration with working partners across the company.

Responsibilities:

* Reframe newsroom and business objectives as Machine Learning tasks that can deliver actionable insights, accurate predictions, and effective optimization.


* Turn models into data products, collaborate with engineering teams, and integrate into process throughout The Times.


* Communicate, coordinate, and collaborate with end-users of data products and respond to stakeholder needs.


* Demonstrate track record of technical and team leadership in machine learning projects


* Demonstrate effective mentoring of junior data scientists via pairing, algorithm and model review, and code review



Qualifications:

* Technical:
* PhD or 5+ years experience in computer science, applied mathematics, or other quantitative/computational discipline (including quantitative social sciences)


* Ability to develop and deploy complex Machine Learning models that are integrated into company process


* Demonstrated knowledge of end-to-end deployment solutions for data products


* Track record of creatively reframing business challenges as Machine Learning tasks


* Experience with data cleaning, preparation, feature engineering and model selection techniques


* Good understanding of the risks and trade-offs involved in choosing different ML solutions


* Ability to seek empirical evidence through proofs of concept, statistical validation and external research




* Non-Technical:
* Commitment to the The Times' mission of delivering the world's best and most reliable journalism.


* Effective Communication with stakeholders across the company, through design documents, code reviews, presentations and documentation


* Ability to effectively collaborate with other data scientists, analysts, software developers, and Machine Learning engineers


* Experience scoping and staging work into well-defined milestones and delivering on communicated timelines


* Ability to proactively identify problems, update stakeholders, and adjust timelines through the course of a project


* Desire to use Data Science projects to further company-wide goals





Please provide GitHub or portfolio site if available.

Benefits and Perks:

* Make an impact by supporting our original, independent and deeply reported journalism.
* We provide competitive health, dental, vision and life insurance for employees and their families
* We support responsible retirement planning with a generous 401(k) company match.
* We offer a competitive parental leave.
* We are committed to career development and ongoing learning, and provide employees $8,000 annually for tuition reimbursement.
* We have frequent panel discussions and talks by a wide variety of newsmakers and industry leaders.
* Join a community committed to the richness of diversity, experiences and talents in the world we cover, supported by a variety of employee resource groups.

#LI-SO1

The New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.

The New York Times Company is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.