Data Scientist at TEGNA Inc.

Tysons, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

0.0

Posted On

22 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Modeling, Machine Learning, Natural Language Processing, Forecasting, Optimization, Experimentation, Communication, Collaboration, Feature Engineering, Causal Inference, Audience Analysis, Content Strategy, Sales Analytics, Model Governance, Data Wrangling

Industry

Broadcast Media Production and Distribution

Description

About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. Role Overview We are seeking a versatile Data Scientist to lead end-to-end modeling and insights for a multi-platform media ecosystem spanning linear TV, digital, web, social, streaming, and apps. You will transform rich viewership, content, and sales datasets into predictive models, optimization frameworks, and actionable insights that shape content strategy, audience growth, and advertising performance. Ideal candidates are adaptable thinkers who enjoy exploring ambiguous problems, can craft clear narratives from complex data, and bring fresh, creative approaches to a fast-evolving media landscape. Responsibilities: What You’ll Do Own the full data science lifecycle: problem framing, hypothesis design, feature strategy, model development, validation, deployment planning, and impact measurement. Build audience and engagement models using multi-source viewership and behavioral signals (e.g., forecasting, churn/retention, cross-platform attribution, time-series and panel-based analysis). Develop content intelligence with NLP: taxonomy/labeling, semantic similarity, topic and entity modeling, summarization, quality/relevance scoring, content-to-audience matching, and trend detection. Create sales and advertising analytics: demand forecasting, pricing/revenue optimization, propensity and uplift modeling, inventory allocation, and campaign effectiveness measurement. Design interpretable measurement frameworks: incrementality tests, controlled experiments, uplift/A/B testing, holdouts, and causal inference for content and ads. Unify cross-platform metrics to produce holistic funnels and KPIs; define leading indicators and build early-warning/nowcasting approaches for performance health. Engineer robust features from logs, sessions, sequences, and text; handle seasonality, cold start, sparsity, and platform-specific biases. Establish model governance: backtesting, stability monitoring, drift detection, fairness and bias assessment, and clear documentation of assumptions and limitations. Translate complex results into clear, executive-ready narratives; deliver recommendations that drive editorial, product, growth, and revenue decisions. Partner with editorial, product, sales, and audience teams to prioritize high-leverage opportunities and design data-informed roadmaps. Mentor teammates, elevate analytical rigor, and promote a culture of curiosity, experimentation, and measurable impact. Core Skills and Methods: Statistical modeling and inference: generalized linear models, hierarchical/mixed effects, survival/retention analysis, causal inference (matching, diff-in-diff, instrumental variables where appropriate). Forecasting and demand modeling: univariate/multivariate time series, seasonality and event effects, hierarchical reconciliation, anomaly detection, and nowcasting. Machine learning for structured data: classification, regression, ranking, uplift modeling, and ensemble methods; strong emphasis on feature engineering and interpretability. Natural language processing for media: text normalization, embeddings, topic modeling, entity and key-phrase extraction, similarity search, content clustering, and evaluation of relevance/quality. Experimentation and measurement: A/B and multivariate testing, power analysis, sequential testing safeguards, uplift/causal experimentation, incrementally for ads and content. Optimization and decisioning: inventory and pricing optimization, budget allocation, scheduling/lineup optimization, and portfolio trade-off analysis. Data acumen: wrangling complex, high-volume, multi-platform datasets; designing reliable labels and ground truth; handling sparsity, delayed feedback, and feedback loops. Model evaluation and monitoring: rigorous offline/online validation, business-aligned metrics, calibration, stability, drift and leakage checks, and post-deployment learning. Communication and influence: concise storytelling with data, stakeholder alignment, and the ability to convert insights into concrete actions and tests. Requirements: What Makes You a Great Fit: 5+ years of applied data science experience delivering measurable impact in consumer, media, advertising, or adjacent domains. Proven track record building models from viewership, content, and sales datasets, with shipped or adopted solutions that informed programming, growth, or revenue. Comfort navigating ambiguity, quickly forming hypotheses, and iterating toward practical, high-signal solutions. Balanced mindset across rigor and speed: you know when to prototype, when to harden, and how to quantify trade-offs. Strong collaboration skills and curiosity about how editorial, product, growth, and sales teams operate and make decisions. Commitment to responsible modeling: transparency, fairness, and clearly communicated limitations and risks. Impact You’ll Drive: Clear, cross-platform understanding of audience behavior and content performance. Faster, smarter decisions on what to make, when to publish, where to distribute, and how to monetize. Better return on advertising through improved forecasting, allocation, and incrementality measurement. Scalable frameworks for experimentation, measurement, and continuous learning across the organization. Preferred: Candidates with advanced degrees in the field of Data Science, NLP or similar. Candidates with prior experience working in Media or Content. Benefits: TEGNA offers comprehensive benefits designed to safeguard the physical, mental and financial health of our employees and their families. TEGNA offers two medical plan options for full and part-time employees through Blue Cross Blue Shield of Texas, as well as access to dental and eye care coverage; fertility, surrogacy and adoption assistance; disability and life insurance. Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute 1% - 80% of their pay on a pre-tax basis to TEGNA’s 401(k). Contributions made up to the first 4% of pay are eligible for a 100% match from the company and are 100% vested from day one. Regardless of participation in TEGNA medical plans, ALL employees and their eligible family members receive nine free virtual doctor’s appointments with a physician through Teladoc, and 12 free annual therapy sessions with a licensed clinician through Spring Health. TEGNA offers a generous Paid Time Off (PTO) benefit as well as nine paid holidays per year. * Some jobs are covered by a collective bargaining agreement and thus some or all of the benefits described herein may not apply. For example, some newsroom bargaining unit employees receive health and retirement benefits under plans administered by the union. EEO statement: TEGNA Inc. is a proud equal opportunity employer. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. We value and consider applications from all qualified candidates without regard to actual or perceived race, color, religion, national origin, sex, gender, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, disability, medical condition, enrollment in college or vocational school, political affiliation, military or veteran status, citizenship status, genetic information, or any other basis protected by federal, state or local law. TEGNA will reasonably accommodate qualified individuals with disabilities in accordance with applicable law. If you are in need of an accommodation in order to submit your application, please email askhr@tegna.com Recruiting Fraud Alert: To all candidates: your personal information and online safety are important to us. Only TEGNA Recruiters or Hiring Managers will reach out to you regarding consideration of your application or background. Communications with TEGNA employees will either come from a TEGNA email address with a domain of tegna.com or one of our affiliate station domains. Recruiters or Hiring Managers will never request payments, ask for financial account information or sensitive information such as social security numbers. Privacy Notice for California Residents SMS Messaging Privacy Policy

Responsibilities

The Data Scientist will lead end-to-end modeling and insights for a multi-platform media ecosystem, transforming datasets into predictive models and actionable insights. Responsibilities include building audience models, developing content intelligence, and creating sales analytics to drive strategic decisions.