Remote Data Jobs โ€ข Causal Inference

4 results

Job listings

Senior Data Scientist

Tubi ๐ŸŽฌ๐Ÿ“บ๐Ÿ“ฑ
$134,000โ€“$194,000
USD/year
US Unlimited PTO

Join Tubi's growing Data Science team as a Senior Data Scientist and help drive smarter content decisions, power personalization strategies, and unlock viewer engagement through data. Lead end-to-end analytical projects that shape viewer experience and expand audience. Collaborate with content strategy, data engineering, product managers, and executives to embed data and experimentation.

Lead Data Scientist

PlayStation ๐ŸŽฎ๐Ÿ•น๏ธ๐Ÿ‘พ

Work as a central part of a team delivering strategic portfolio-level insights and in-depth title analysis. Lead media mix modeling to measure the effectiveness of paid and owned marketing channels, advising budget allocation and strategic planning. You will build and apply churn and LTV models, connecting early-game behavior to retention and monetization outcomes across acquisition sources.

Staff Data Scientist

Kard ๐Ÿ’ณ๐ŸŽ๐ŸŽ‰
$190,000โ€“$210,000
USD/year
US 2w PTO

As a Staff Data Scientist at Kard, youโ€™ll lead development of advanced personalization, optimization, and measurement systems at the heart of our platform. You will apply deep expertise in statistical modeling, experimentation, and machine learning to improve loyalty campaign performance and user experience. This impactful role spans experimentation frameworks, causal inference, and applied ML, contributing to both platform capabilities and strategic decisions.

Staff Data Scientist, Consumer

Reddit ๐Ÿ’ฌ๐Ÿ‘๐Ÿ”ฅ
$217,000โ€“$303,900
USD/year

Consumer data science plays a key role in fulfilling Redditโ€™s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation.