Senior Applied Data Scientist

Job Description

As the largest most diversified television broadcasting company in the country, we continuously look to embrace new digital opportunities and challenge ourselves to defy expectations of what a broadcaster can do. Recently, we strategically acquired 23 Regional Sports Networks (RSNs) and we are looking for team members to join us in integrating this new and important piece of our business that will expand our range of content across the country and extend our multi-platform expansion opportunities. We are looking for a strong analytical candidate to provide data analysis for our broadcast organization. You will work closely with data engineers to obtain and use large amounts of data to test and report on broadcast center forecasting, capacity, utilization and provide data-backed recommendations. You will provide immense value to our business by enabling quantitative decision-making across the organization.

Responsibilities:
Operations, Collaboration & Partnerships
• Create models and processes that minimize the cost of the broadcast center by forecasting service management workloads, improving capacity planning, and optimizing resource utilization
• Engage with business leaders to understand their specific needs and present complex findings, both verbally and visually
• Analyze application and infrastructure performance data in order to prevent, detect, and mitigate broadcast center incidents
• Utilize Consumer telemetry layer to provide insights for broadcast organization
• Utilize advanced mathematics and statistical analyses to generate insights for broadcast organization
• Perform machine learning for enriching content

Performance Improvement
• Track operations and constantly look for ways to make things work better, faster, and smoother

People Management & Development
• Thrive in a fast-paced and demanding environment, possess a high level of intellectual curiosity, and demonstrate strong judgment in the face of ambiguity

Qualifications:
• 3+ years of data taxonomy, BI, data migration or data lake integration experience
• Proven experience using one or more data modeling tools (including, but not limited to, SQL, Spark, ElasicSearch, Hive, Azure Data Lake, BigQuery, etc.)
• Proven experience using object-oriented programming languages (including, but not limited to, Python, JavaScript, Java, Scala, etc.) and functional data science tools such as R, or others
• Experience with data visualization tools (including, but not limited to, Matplot, Splunk, Kibana, DataStudio, Tableau, Cognos, etc.)
• Experience with advanced statistical modeling
• Experience with Consumer telemetry, infrastructure monitoring, and process improvement preferred
• Machine learning and artificial intelligence experience preferred
• Thrive in a fast-paced and demanding environment, possess a high level of intellectual curiosity, and demonstrate strong judgment in the face of ambiguity

Proud to be an Equal Opportunity Employer and a Drug Free Workplace!

Jobcode: Reference SBJ-gk7y8r-3-142-250-114-42 in your application.