About FOX News Network
Sourced by ZipRecruiter
Industry
Technology, communication and media
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US
Year founded
1996
$146.68K - $161.35K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 22 days ago
Fox News rating
8.1
Based on 8 frontline employees who took The Breakroom Quiz
15th of 64 rated media
Job description
OVERVIEW OF THE COMPANY
Fox Corporation
Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.
JOB DESCRIPTION
Job Duties:
As part of the Data Engineering team, Fox Cable Network Services, LLC seeks a Data Scientist (MLOps Engineer) to focus on deploying, managing, and scaling machine learning models within Fox's AWS and Databricks environments. Play a crucial role in ensuring Fox's ML (machine learning) models are deployed reliably, maintained efficiently, and deliver value across the organization. Work effectively with multiple internal stakeholders across diverse groups such as Fox Sports, Fox News Media, Fox Entertainment, and Fox Television Stations to support a wide array of Data Science and Data Engineering initiatives. Specific duties include: 1) Design, implement, and maintain robust, scalable ML pipelines for the production and deployment of machine learning models. 2) Collaborate closely with other data scientists, data engineers, and DevOps to ensure seamless integration and performance of models in AWS and Databricks environments. 3) Build automated workflows for model deployment, monitoring, and retraining, ensuring high availability and reliability. 4) Develop processes for tracking, logging, and versioning of models to support reproducibility and auditability. 5) Implement monitoring solutions to track model performance and data drift, providing insights to maintain and improve model quality over time. 6) Troubleshoot, debug, and optimize ML pipelines to improve efficiency and reduce latency. 7) Stay updated with the latest advancements in MLOps tools and practices, ensuring that Fox infrastructure remains cutting-edge and future-ready. Telecommuting permitted from any location in the U.S.
Job Requirements:
Requires a Master's degree in Data Science, Computer Science, Information Technology, Engineering or related field, plus two (2) years of experience in data science or related experience in MLOps/DevOps, including experience deploying and maintaining ML models in production; and building CI/CD pipelines for ML models using tools such as Git and Jenkins.
*Specific skills: Also requires experience or knowledge in the following: 1) Experience in ML frameworks such as TensorFlow, PyTorch and scikit-learn; 2) Experience in SQL, Python, Docker, and Kubernetes; 3) Knowledge of monitoring and logging tools used to track model performance and data quality such as Prometheus, Grafana and CloudWatch; 4) Experience with A/B testing and experiment design; 5) Experience with product analytics and working with event-level data; and 6) Experience in Databricks and AWS services such as S3, EC2, SageMaker and Lambda
*Any level of experience or knowledge in the specific skills is acceptable.
Telecommuting permitted from any location in the U.S.
#LI-DNI
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $146,680.41-161,348.00 annually. This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
View more detail about FOX Benefits.
Fox Corporation
Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.
JOB DESCRIPTION
Job Duties:
As part of the Data Engineering team, Fox Cable Network Services, LLC seeks a Data Scientist (MLOps Engineer) to focus on deploying, managing, and scaling machine learning models within Fox's AWS and Databricks environments. Play a crucial role in ensuring Fox's ML (machine learning) models are deployed reliably, maintained efficiently, and deliver value across the organization. Work effectively with multiple internal stakeholders across diverse groups such as Fox Sports, Fox News Media, Fox Entertainment, and Fox Television Stations to support a wide array of Data Science and Data Engineering initiatives. Specific duties include: 1) Design, implement, and maintain robust, scalable ML pipelines for the production and deployment of machine learning models. 2) Collaborate closely with other data scientists, data engineers, and DevOps to ensure seamless integration and performance of models in AWS and Databricks environments. 3) Build automated workflows for model deployment, monitoring, and retraining, ensuring high availability and reliability. 4) Develop processes for tracking, logging, and versioning of models to support reproducibility and auditability. 5) Implement monitoring solutions to track model performance and data drift, providing insights to maintain and improve model quality over time. 6) Troubleshoot, debug, and optimize ML pipelines to improve efficiency and reduce latency. 7) Stay updated with the latest advancements in MLOps tools and practices, ensuring that Fox infrastructure remains cutting-edge and future-ready. Telecommuting permitted from any location in the U.S.
Job Requirements:
Requires a Master's degree in Data Science, Computer Science, Information Technology, Engineering or related field, plus two (2) years of experience in data science or related experience in MLOps/DevOps, including experience deploying and maintaining ML models in production; and building CI/CD pipelines for ML models using tools such as Git and Jenkins.
*Specific skills: Also requires experience or knowledge in the following: 1) Experience in ML frameworks such as TensorFlow, PyTorch and scikit-learn; 2) Experience in SQL, Python, Docker, and Kubernetes; 3) Knowledge of monitoring and logging tools used to track model performance and data quality such as Prometheus, Grafana and CloudWatch; 4) Experience with A/B testing and experiment design; 5) Experience with product analytics and working with event-level data; and 6) Experience in Databricks and AWS services such as S3, EC2, SageMaker and Lambda
*Any level of experience or knowledge in the specific skills is acceptable.
Telecommuting permitted from any location in the U.S.
#LI-DNI
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $146,680.41-161,348.00 annually. This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
View more detail about FOX Benefits.
foxnews.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.
Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.
