The New York Times is a technology company that also produces the world's most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert technologists that can collect, query, and learn from a tremendous abundance of data unique to this company in its scope and diversity. The Times seeks a Data Scientist to join a growing Data Science Group working with business, engineering, and newsroom collaborators.
Responsibilities
- Reframe business, product, and editorial objectives as machine learning tasks that can deliver actionable insights and accurate predictions.
- Execute your machine learning research with reliability and reproducibility.
- Communicate results to scientific, business, and editorial stakeholders.
- Collaborate with engineering teams to productionalize your research.
- Educate stakeholders and communicate the benefits of machine learning at The Times.
Technical Qualifications
- PhD or 4+ years experience in computer science, applied mathematics, or other quantitative/computational discipline.
- 2+ years experience with open source machine learning tools built in Python or R.
- 2+ years experience with scripting languages (e.g., Python, Ruby, Perl, Bash)
- Data engineering experience, including SQL and manipulating large structured or unstructured datasets for analysis.
- Preferred: experience with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading). Familiarity with Amazon Web Services and Elastic MapReduce a plus.
Non-Technical Qualifications
- Commitment to the The Times’ mission of delivering the world's best journalism.
- Excellent analytical and problem-solving skills
- Strong oral and written communication skills
- A passion for empirical research and for answering hard questions with data.
- Proven record of solving challenging problems in academia and/or industry.
- Eagerness to collaborate with both technical colleagues and non-technical ones in the editorial, product management, marketing, and executive leadership spheres.
- Ability to gauge the complexity of machine learning problems and a willingness to try simple approaches for quick effective solutions.
J2W:DIC
Company Information: The New York Times Company (NYSE: NYT) is a global media organization dedicated to enhancing society by creating, collecting and distributing high-quality news and information. The company includes The New York Times, International New York Times, NYTimes.com, INYT.com and related properties. It is known globally for excellence in its journalism, and innovation in its print and digital storytelling and its business model. Follow news about the company at @NYTimesComm.
EEO Statement: The New York Times Company is an equal employment opportunity employer, and does not discriminate on the basis of race, color, religion, gender, sexual orientation, marital status, age, disability, national origin, citizenship or any other protected characteristic. The New York Times Company is committed to diversity in its most inclusive sense.
Responsibilities
- Reframe business, product, and editorial objectives as machine learning tasks that can deliver actionable insights and accurate predictions.
- Execute your machine learning research with reliability and reproducibility.
- Communicate results to scientific, business, and editorial stakeholders.
- Collaborate with engineering teams to productionalize your research.
- Educate stakeholders and communicate the benefits of machine learning at The Times.
Technical Qualifications
- PhD or 4+ years experience in computer science, applied mathematics, or other quantitative/computational discipline.
- 2+ years experience with open source machine learning tools built in Python or R.
- 2+ years experience with scripting languages (e.g., Python, Ruby, Perl, Bash)
- Data engineering experience, including SQL and manipulating large structured or unstructured datasets for analysis.
- Preferred: experience with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading). Familiarity with Amazon Web Services and Elastic MapReduce a plus.
Non-Technical Qualifications
- Commitment to the The Times’ mission of delivering the world's best journalism.
- Excellent analytical and problem-solving skills
- Strong oral and written communication skills
- A passion for empirical research and for answering hard questions with data.
- Proven record of solving challenging problems in academia and/or industry.
- Eagerness to collaborate with both technical colleagues and non-technical ones in the editorial, product management, marketing, and executive leadership spheres.
- Ability to gauge the complexity of machine learning problems and a willingness to try simple approaches for quick effective solutions.
J2W:DIC
Company Information: The New York Times Company (NYSE: NYT) is a global media organization dedicated to enhancing society by creating, collecting and distributing high-quality news and information. The company includes The New York Times, International New York Times, NYTimes.com, INYT.com and related properties. It is known globally for excellence in its journalism, and innovation in its print and digital storytelling and its business model. Follow news about the company at @NYTimesComm.
EEO Statement: The New York Times Company is an equal employment opportunity employer, and does not discriminate on the basis of race, color, religion, gender, sexual orientation, marital status, age, disability, national origin, citizenship or any other protected characteristic. The New York Times Company is committed to diversity in its most inclusive sense.