Data Scientist at JWP Connatix

, , Romania -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

0.0

Posted On

19 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Statistical Analysis, Python, SQL, Experiment Design, Model Deployment, Data Analysis, Collaboration, High-Throughput Systems, Causal Inference, Cloud Computing, APIs, Infrastructure, Communication, Data-Driven Solutions, Monitoring

Industry

Advertising Services

Description

About JWP Connatix: JWP Connatix is the most comprehensive independent video technology and monetization platform, helping broadcasters, publishers, and advertisers deliver premium streaming and online video experiences while maximizing video revenue across all screens. The company offers an end-to-end platform that streamlines live and on-demand video with hybrid monetization models, unique data and insights, unmatched customer service, and the largest independent premium video marketplace, providing the entire media ecosystem with enhanced scale, transparency, and revenue. Our video players are embedded directly on publisher sites including Accuweather, Axel Springer, Dotdash Meredith, McClatchy, Penske Media Co., and more. We work with leading brands and agencies including American Express, Citi, Dentsu, Mars, UM, and more helping them target ads against our publishers’ video content. We power streaming for over 2,000 blue-chip media companies, including 80% of the top 25 Comscore US publishers. As the largest independent global video network across CTV and OLV, we reach over 1B unique users and deliver 30B+ combined video plays and ad impressions every month. The Opportunity As a Data Scientist at JWP Connatix, you will develop machine learning and statistical models that power the core of our video monetisation ecosystem. You’ll work on systems that handle tens of billions of predictions per month, spanning programmatic advertising auctions, supply path optimisation, and content analysis. This is a hands-on role where your contributions have a direct and measurable impact on revenue and customer outcomes. You’ll collaborate closely with product managers, engineers, and business stakeholders to turn data into actionable insights, deploy and monitor models in production, and ensure our decision systems remain scalable, reliable, and business-aligned. What You’ll Do Partner with stakeholders to understand business problems and translate them into data-driven solutions. Analyze complex, large-scale datasets to uncover insights and drive strategy. Build, evaluate, and deploy machine learning models across different verticals of the company, including programmatic advertising, content analysis, or playlist recommendations. Design and conduct offline experiments, shadow tests, and online A/B tests to measure model performance and assess its business impact. Contribute to the engineering of high-throughput, low-latency systems for training and inference at scale. Work cross-functionally with product, engineering, and operations teams to maximize the impact of data science on business metrics. Operationalize LLMs and AI-assisted tooling to accelerate prototyping, inform methods discussions, and improve development velocity. What We’re Looking For Master’s degree in a STEM field (CS, AI/ML, or Statistics preferred). Proficiency in Python and SQL. Solid applied experience with experiment design and statistical analysis. Experience building, deploying, and monitoring models in production environments. Familiarity with ML platforms (e.g, MLflow, AutoML). Excellent communication skills, ability to translate complex data science work into clear, actionable insights for non-technical stakeholders. Ability to work across the full lifecycle: problem framing, research, implementation, deployment, and monitoring. Nice to Have A Ph.D. in a relevant scientific field. Experience in advertising technology or programmatic auctions. Experience with Cloud computing (AWS preferred). Experience with monitoring tools (Kibana preferred). Experience with advanced causal inference methods. Familiarity with building APIs and infrastructure (Docker, K8s, Terraform). Why Join Us? At JWP Connatix, you’ll join a collaborative, fast-moving team where data science sits at the heart of business impact. You’ll get to work on high-scale, high-visibility problems, see the immediate effect of your models in production, and help shape the future of premium video. Check out our website and social channels: JWP Connatix We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, and/or disability status.

Responsibilities

As a Data Scientist, you will develop machine learning and statistical models that power the video monetization ecosystem. You will analyze complex datasets and collaborate with various teams to turn data into actionable insights.