Manager Decision Scientist and Engineering

Select how often (in days) to receive an alert: #WeAreParamount on a mission to unleash the power of content… you in? We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture. Overview and Responsibilities: The Signal Intelligence team works with high-volume, multi-source data ecosystem and builds trusted, decision-ready data products. We work across operational systems, client app event streams, ad tech platforms, stitcher events, ad server logs, and telemetry — stitching them together into the data marts and dashboards that power business, product, and ad ops decisions We are currently looking for a Senior Data Engineer to develop processes, methodologies and systems to consolidate and analyze unstructured diverse data sources that generate breakthroughs, actionable insights and solutions that inform decisions and business direction. This person will own the full lifecycle of our data — from raw event ingestion through harmonization, architecting, designing, modeling, visualization, and incident response. In addition, the successful candidate will lead development of software algorithms to structure, analyze and leverage data in the development of product and applications. Candidates should possess extensive experience in Data Engineering, Data Analysis, and Predictive Analytics, and be able to independently develop and communicate complex statistical analysis and insight to peers and senior leadership. We are looking for someone who can work effectively in a matrixed organization, lead data-based decision making, and bring clear data-driven insights to existing business operations. Responsibilities Include: Build and own data marts spanning operational, advertising, and telemetry data — designed for analytics, reporting, AI, and operational use cases Ingest and process large-volume event data from client apps, ad tech platforms, stitcher services, ad servers, and telemetry pipelines Clean, harmonize, and integrate data across systems with different schemas, identifiers, grains, and timing — producing conformed dimensions and shared definitions (users, sessions, devices, content, campaigns, impressions) Stitch identity and sessions across client, server, and ad-side events to enable accurate user, content, and revenue analytics Troubleshoot data incidents end-to-end — from a dashboard anomaly back through marts, transformations, and raw event logs — and drive permanent fixes Build, support and improve visualizations in partnership with analysts and stakeholders, ensuring dashboards are accurate, performant, and trusted Establish data quality standards — testing, monitoring, alerting, freshness and volume SLAs — so issues are caught before stakeholders see them Document datasets, lineage, and business logic so consumers across analytics, product, and ad ops can self-serve with confidence Partner closely with analysts, data scientists, ad ops, product, and source-system owners to translate business questions into durable data models Develop/Improve new or underutilized data sets internally and externally Analyze complex and huge datasets to understand patterns and develop actionable insights develop new initiatives to improve business KPIs such as usage, revenue, etc. define new metrics and KPIs to track new initiatives Work closely with all business functions to enable transparent data-based decision making. Contribute to the daily variance identification across multiple platforms. Drive complex strategic projects investigations and analysis. Work cross functionally on enterprise-wide programs with Engineering, Broadcast Operations, Finance, BI and Data Engineering teams to improve performance and profitability. Research and share information on the latest tools and best practices. Mentor engineers and analysts on SQL, modeling, event data, and engineering best practices Basic Qualifications: BA/BS in Computer Science, Math, Physics, Engineering, Economics, Statistics or related technical field 5+ years of data engineering experience building production pipelines and data models Expert SQL skills, including performance tuning on large, event-scale datasets Strong experience with a cloud warehouse / lakehouse (Snowflake, BigQuery, or Databricks) Experience working with JSON, Parquet, etc. types of files Proficient in Python for data processing and pipeline development Experience with dbt (or equivalent transformation framework) Experience with orchestration tools (Airflow) Hands-on experience with high-volume event data — clickstream, telemetry, ad impressions, or similar — including deduplication, late-arriving data, sessionization, and schema evolution Deep understanding of dimensional modeling, star/snowflake schemas, slowly changing dimensions, and data mart design Proven track record harmonizing data across multiple source systems with conflicting schemas, identifiers, or grain Experience debugging data quality issues across the full stack — from BI tool to warehouse to raw event logs Comfort working directly with BI tools (DOMO, Looker, Mode) — both consuming them and supporting their development Strong analytical and logical skills Additional Qualification: MS in quantitative discipline or equivalent experience Experience leading engineering or operations teams Understanding of statistical analysis using R and predictive analytics tools, including ability to define, complete and present analysis.

ADDITIONAL INFORMATION

Hiring Salary Range: $146,160.00 - 219,240.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling View phone number on click.appcast.io or by sending an email to View email address on click.appcast.io. Only messages left for this purpose will be returned. #J-18808-Ljbffr Paramount Pictures