Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local new...

Parttime Fulltime Machine Learning Data Science

Fully remote

View details

Company Description Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner, and for ever...

Fulltime Data Science Ai

Fully remote

View details

Data Science & Data Engineering Community Program Future Forecasting & Risk Analysis Section – 1-Month Trial We are b...

Temporary Remote Data Science Data Engineer

Fully remote

View details

Data Scientist - Pharmaceutical Development and Manufacturing (m/f/d) Job Requisition ID: 840 Posting Start Date: 1/2...

Data Science Ai

Fully remote

View details

Evaluate and quantify the performance of operating project in Terra-Gen portfolio. Projects include Wind, PV, BESS, a...

Remote Data Science Ai

$160k - $190k · Senior Fully remote

View details

Quale sarà la tua sfida? All’interno della divisione AI Lab di Bip, il team di quantum computing si occupa di indagar...

Fulltime Remote Ai Machine Learning

Fully remote

View details

Werken bij CM, is werken met goesting. Want bij CM heb je een positieve impact op het leven van miljoenen Belgen. Dat...

Ai Data Science

Fully remote

View details

Intellectual Labs AS Karenslyst Allé 2 Skoyen, 0278 Oslo Om jobben Stillingstittel Data Scientist / ML Engineer Type ...

Fulltime Ai Machine Learning Data Science

Fully remote

View details

entreprise : L’Inserm est le seul organisme public français entièrement dédié à la recherche biologique, médicale et ...

Data Science Ai

Fully remote

View details

As a Principal Machine Learning Engineer at Nordstrom you will have the opportunity to develop and implement advanced...

Machine Learning Data Science Mlops Ai

$191k - $297k · Senior Fully remote

View details

MANTECH seeks a mission-driven and innovative Data Scientist to join our team in Oahu, Hawaii. In this role you will ...

Fulltime Machine Learning Data Science Data Engineer

Fully remote

View details

Créée en 2013, OPTACARE (S.A.S. Opta LP), installée à la Technopole de l’Aube, développe des solutions numériques inn...

Fulltime Data Science Ai

Fully remote

View details

Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our d...

Fulltime Data Science Data Engineer Ai

$116k - $210k · Senior Fully remote

View details

Chez Younited, nous pensons que l’argent est un moyen de réaliser ses rêves à travers des projets et des achats. Mais...

Internship Remote Data Science Ai

Fully remote

View details

Vos missions : En tant que stagiaire Data Scientist, vous contribuez aux projets de data science de bout en bout : Pa...

Internship Remote Machine Learning Data Science

$75k* · Senior Fully remote

View details

Remote Duties: Design, develop, and optimize AutoML algorithms and frameworks to automate model selection, hyperparam...

Remote Machine Learning Deep Learning Data Science

$90k - $160k · Senior Fully remote

View details

Company Description Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for eve...

Fulltime Data Science Ai

Fully remote

View details

Building long-term digital solutions at scale for our customers and employees. And enabling our employees to push the...

Remote Ai Ai Engineer Generative Ai

$16k* · Senior Fully remote

View details

This job is available in 4 locations See all Category Other Vorresti iniziare la tua carriera professionale in un con...

Remote Ai Machine Learning Generative Ai

Fully remote

View details

Our Opportunity: The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to he...

Fulltime Machine Learning Ai

$149k - $245k · Senior Fully remote

View details

Selected role

Lead Data Scientist

TEGNA Tysons, VA, US

Senior Full-time

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.

We are seeking a Lead Data Scientist to drive the development and deployment of predictive models for our Sales Automation initiative. You will own the end-to-end data science lifecycle to build machine learning models that predict advertiser probability of conversion to customer, enabling our sales team to prioritize high-value prospects, optimize outreach strategies, and accelerate revenue growth. Ideal candidates are analytical problem-solvers who excel at translating business objectives into data-driven solutions, can work with complex advertiser datasets, and thrive in a fast-paced, collaborative environment.

Responsibilities:

What You'll Do

Own the full data science lifecycle for advertiser conversion modeling: problem framing, hypothesis design, feature engineering, model development, validation, deployment, and impact measurement.
Translate complex analytics and machine learning outputs into consumable business insights by developing Tableau- or Power BI–like interactive dashboards and generating automated BI reports (Word, PDF, PowerPoint) that support executive decision-making and revenue strategy.
Build and optimize predictive models to estimate advertiser probability of conversion using historical sales data, advertiser behavior signals, engagement metrics, and market trends.
Leverage managed machine learning and predictive modeling capabilities through cloud platforms (e.g., Snowflake Cortex ML, Snowpark ML) to rapidly prototype, rigorously evaluate, and productionize advertiser conversion probability models, ensuring scalability, reliability, and alignment with sales and revenue business use cases.
Engineer robust features from multi-source advertiser datasets including firmographics, engagement history, interaction patterns, and campaign performance; handle data quality issues, missing values, and class imbalance.
Develop classification models (logistic regression, gradient boosting, neural networks, ensemble methods) with strong emphasis on interpretability and business explainability for sales team adoption.
Design and implement model validation frameworks: train/test splits, cross-validation, business-aligned metrics (precision, recall, AUC, lift), and rigorous backtesting against historical conversion data.
Establish model governance and monitoring: performance tracking, drift detection, retraining pipelines, fairness assessment, and clear documentation of model assumptions and limitations.
Create actionable conversion propensity scores and segmentation strategies that enable sales teams to prioritize leads, personalize outreach, and optimize resource allocation.
Conduct A/B testing and incrementality analysis to measure the business impact of model-driven sales interventions and continuously improve conversion strategies.
Translate complex model outputs into clear, executive-ready narratives and dashboards; deliver recommendations that drive sales strategy and revenue decisions.
Partner with sales, marketing, and product teams to understand business requirements, prioritize high-impact opportunities, and design data-informed roadmaps.
Mentor teammates on best practices in predictive modeling, statistical rigor, and responsible AI; promote a culture of experimentation and measurable impact.

Core Skills and Methods

Predictive modeling and classification: logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM), neural networks, and ensemble methods.
Data Visualization: Create clear, compelling data visualizations and dashboards to enable team-led exploratory analysis and effectively communicate to both technical and non-technical stakeholders
Feature engineering: domain-driven feature creation, feature selection, handling categorical variables, scaling, and dimensionality reduction.
Statistical methods: hypothesis testing, confidence intervals, statistical significance testing, and understanding of Type I/II errors.
Imbalanced classification: techniques for handling class imbalance (SMOTE, class weights, threshold optimization) and appropriate evaluation metrics.
Model evaluation and validation: cross-validation, ROC/AUC analysis, precision-recall curves, calibration, and business-aligned performance metrics.
Time series and temporal analysis: handling temporal patterns in conversion data, seasonality effects, and recency bias.
Experimentation and causal inference: A/B testing, power analysis, propensity score matching, and measuring true incremental impact.
Data wrangling and SQL: extracting, transforming, and aggregating complex advertiser and sales datasets from multiple sources.
Model deployment and monitoring: model versioning, performance tracking, automated retraining, and production monitoring.
Communication and storytelling: translating model insights into clear business recommendations and actionable strategies for non-technical stakeholders.

Requirements:

What Makes You a Great Fit

5+ years of applied data science experience with proven track record building and deploying predictive models in production environments.
Demonstrated expertise in classification modeling and conversion/propensity prediction (e.g., customer acquisition, churn prediction, lead scoring).
Hands-on experience with Snowflake - Snowpark (Python) and/or Snowflake ML / Cortex ML
Advanced SQL skills for large-scale analytical datasets
Experience with feature engineering on structured business data
Strong proficiency in Python (scikit-learn, pandas, numpy) and SQL for data extraction and feature engineering.
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 ability to work cross-functionally with sales, marketing, and product teams.
Commitment to responsible modeling: transparency, fairness, and clearly communicated limitations and risks.
Excellent communication skills with ability to explain complex models to non-technical stakeholders.

Preferred

Advanced degree in Data Science, Statistics, Machine Learning, or related field.
Prior experience in sales, marketing, or revenue analytics domains.
Experience with cloud platforms (AWS, GCP, Azure) and big data tools.
Familiarity with MLOps practices and model deployment pipelines.

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 [email protected]

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

Showing 3281–3300 of 4,988 AI roles

1 … 163 164 166 167 250

Find your next AI role

Lead Data Scientist

Data Scientist

Data scientists

Data Scientist - Pharmaceutical Development and Manufacturing

Performance Engineer/Data Scientist

Quantum Data Scientist

Data Scientist

Data Scientist Partner -INTELLECTUAL LABS

Ingénieur en apprentissage automatique data scientist

Principal Data Science ML Engineer - Hybrid - Seattle

Data Scientist

Data Scientist / Ingénieur R D IA

Data Scientist - Senior

Data Scientist

STAGE Data Scientist

Senior Machine Learning Engineer

Staff Data Scientist, Algorithms, GenAI

GenAI Engineer

New Graduate Artificial Iintelligence/Machine Learning Engineer

Machine Learning Engineer III