Fox Entertainment
Data Scientist
Fox Entertainment, Los Angeles, California, United States, 90079
Overview Of The Company
FOX Entertainment has the power to break through. We seek to pierce pop culture with content that takes big swings, delivers mass appeal and elicits visceral reactions from our audiences. FOX has been the #1 A18-49 rated network for 2 years in a row and we got there through innovation and perseverance, as well as excellent content including shows such as THE MASKED SINGER, 9-1-1, CALL ME KAT and THE GREAT NORTH. FOX Entertainment programming includes a mix of Drama, Comedy, Alternative, Animation and Specials. Also within the Fox family are brands such as TUBI, FOX Alternative Entertainment, FOX SPORTS, FOX NEWS, FOX BET, Bento Box, Blockchain Creative Labs, and Credible.
Job Description
Fox Cable Network Services, LLC seeks a Data Scientist to utilize background in data analysis, data visualization and machine learning/artificial intelligence to build and implement solutions and utilize the best practices to keep FOX ahead of game. Solve big data problems using a breadth of modeling and quantitative techniques, including understanding of data science concepts and techniques across the disciplines of applied statistics and machine learning. Specific duties include:Write efficient and practical programs in Python.Demonstrate attention to detail when debugging.Write unit tests to detect them before serving models to production.Understand the ML (machine learning) algorithms being implemented at a mathematical level and consider program runtime and space complexity.Identify how to modify the ML training process for the particular task.Develop data acquisition pipelines and data labeling workflows with embedded SQL, pySpark, or Athena.Deal with various file types, data formats, and data structures.Build supervised and unsupervised learning systems to support Sports analytics.Drive feature engineering and experimentation to improve performance of ML Models.Telecommuting permitted from any location in the U.S.
Job Requirements:
Requires a Master’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus two (2) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.Alternatively, will accept a Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus five (5) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.
Specific skills:
Also requires experience or knowledge in the following:Traditional ML models including Random Forest, regressions and KNN;Deep learning methods, artificial intelligence, statistics and applied mathematics;Computer Vision, NLP (Natural Language Processing), recommendation engines and time-series forecasting;Container platforms such as Docker and Kubernetes;Linux, EC2, EMR, Serverless AWS Lambda, Elastic Load Balancers, Bastion Hosts and NAT (Network Address Translation).Any level of experience or knowledge in the specific skills is acceptable.
Telecommuting permitted from any location in the U.S.
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.
At FOX, we foster a culture and environment where everyone feels welcome and can thrive. We are deeply committed to diversity, equity, and inclusion, including attracting, retaining, and promoting diverse talent across our company. We live in a diverse world, with different ideas and different perspectives that come together to spark new ideas and make great things happen. That means reflecting the diversity of the world around us is critical to our company’s success. We ensure that our viewers, communities and employees feel heard, represented, and celebrated both on screen and off.
Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is: $159,650.00-175,615.00 annually for California. 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.
#J-18808-Ljbffr
FOX Entertainment has the power to break through. We seek to pierce pop culture with content that takes big swings, delivers mass appeal and elicits visceral reactions from our audiences. FOX has been the #1 A18-49 rated network for 2 years in a row and we got there through innovation and perseverance, as well as excellent content including shows such as THE MASKED SINGER, 9-1-1, CALL ME KAT and THE GREAT NORTH. FOX Entertainment programming includes a mix of Drama, Comedy, Alternative, Animation and Specials. Also within the Fox family are brands such as TUBI, FOX Alternative Entertainment, FOX SPORTS, FOX NEWS, FOX BET, Bento Box, Blockchain Creative Labs, and Credible.
Job Description
Fox Cable Network Services, LLC seeks a Data Scientist to utilize background in data analysis, data visualization and machine learning/artificial intelligence to build and implement solutions and utilize the best practices to keep FOX ahead of game. Solve big data problems using a breadth of modeling and quantitative techniques, including understanding of data science concepts and techniques across the disciplines of applied statistics and machine learning. Specific duties include:Write efficient and practical programs in Python.Demonstrate attention to detail when debugging.Write unit tests to detect them before serving models to production.Understand the ML (machine learning) algorithms being implemented at a mathematical level and consider program runtime and space complexity.Identify how to modify the ML training process for the particular task.Develop data acquisition pipelines and data labeling workflows with embedded SQL, pySpark, or Athena.Deal with various file types, data formats, and data structures.Build supervised and unsupervised learning systems to support Sports analytics.Drive feature engineering and experimentation to improve performance of ML Models.Telecommuting permitted from any location in the U.S.
Job Requirements:
Requires a Master’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus two (2) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.Alternatively, will accept a Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus five (5) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.
Specific skills:
Also requires experience or knowledge in the following:Traditional ML models including Random Forest, regressions and KNN;Deep learning methods, artificial intelligence, statistics and applied mathematics;Computer Vision, NLP (Natural Language Processing), recommendation engines and time-series forecasting;Container platforms such as Docker and Kubernetes;Linux, EC2, EMR, Serverless AWS Lambda, Elastic Load Balancers, Bastion Hosts and NAT (Network Address Translation).Any level of experience or knowledge in the specific skills is acceptable.
Telecommuting permitted from any location in the U.S.
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.
At FOX, we foster a culture and environment where everyone feels welcome and can thrive. We are deeply committed to diversity, equity, and inclusion, including attracting, retaining, and promoting diverse talent across our company. We live in a diverse world, with different ideas and different perspectives that come together to spark new ideas and make great things happen. That means reflecting the diversity of the world around us is critical to our company’s success. We ensure that our viewers, communities and employees feel heard, represented, and celebrated both on screen and off.
Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is: $159,650.00-175,615.00 annually for California. 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.
#J-18808-Ljbffr