Top Software Data Science Jobs
The Staff Data Scientist at Enigma will be responsible for translating customer goals into innovative solutions using machine learning and statistics. They will work in cross-functional teams with other data scientists, engineers, and product managers to improve the accuracy and usability of Enigma's product. The ideal candidate will have 6-8+ years of industry experience in statistics and distributed machine learning, as well as experience as a tech lead or manager of data scientists. Strong communication skills and an advanced degree in a quantitative discipline are preferred.
Join Snap Inc as a Research Scientist in User Modeling & Personalization. Lead research projects, build scalable prototypes, and collaborate with engineering teams to shape personalized experiences for Snapchatters. Strong technical knowledge of machine learning algorithms and experience in large-scale machine learning required.
Join Snap Inc. as a Research Scientist in User Modeling & Personalization, working on innovative projects to enhance Snap's products through user behavior modeling and personalized experiences. Lead research projects, build scalable prototypes, and collaborate with engineering teams to implement technology for millions of users. PhD in computer science or related field required, with expertise in machine learning algorithms and research publication record. Preferred skills include transforming research into product improvements, specialization in recommendation models, and experience with cloud solutions like Google Cloud, AWS, or Azure.
Partner with the Cash App Health org to derive insights from datasets, analyze customer behavior, design A/B experiments, forecast metrics, and build data visualizations. Collaborate with cross-functional teams to drive meaningful change and protect customers' interests.
As a Fraud Decision Scientist at Afterpay, responsible for key KPIs for the company's loss metrics and fraud risk management while collaborating with various teams. Responsibilities include maintaining fraud strategy framework, building and refining fraud model strategies, and analyzing large datasets using SQL and Python.
Featured Jobs
Join Jellyfish Research as a Data Scientist to facilitate data-informed decision-making, collaborate with teams, provide data products, build algorithms, and work on research data platforms. Enjoy working in a collaborative environment led by experienced entrepreneurs.
Senior Data Scientist, SEO at Realtor.com in Austin, TX. Responsibilities include supporting product team goals, developing KPIs, delivering data-driven analyses, partnering with Product org, leading exploratory analysis for product development opportunities, and more.
The Senior Data Scientist will play a pivotal role in enhancing consumer product analytics for Realtor.com, focusing on traffic, engagement, and lead generation. Responsibilities include collaborating with key business units, utilizing web analytics and event tracking, and distilling valuable insights from extensive datasets.
Seeking a Senior Applied Science professional to work on search experience, ranking and matching algorithms, and hiring experience for users of the marketplace. Responsibilities include initiating and driving applied science initiatives to improve customer and service provider matching and building a healthy marketplace.
Lead Data Scientist role at Thumbtack involving quantitative research, experiment design, collaborating with product teams, defining key metrics, developing expertise in data, and contributing to the data culture.
Thumbtack is seeking a Staff Applied Scientist with deep expertise in machine learning, optimization, building data products, and statistics. The role involves improving customer and service provider matching, modeling complex relationships, characterizing marketplace dynamics, and building a healthy marketplace. The team works on scaling and providing experiences for a wide set of users, focusing on marketplaces and pricing challenges.
As a Data Scientist on the Growth Data Science team at Notion, you will be instrumental in accelerating product growth and revenue generation. Responsibilities include statistical analysis, data mining, experimentation, and working closely with product, engineering, and marketing teams to drive data-driven decision-making. Ideal candidates are comfortable with ambiguity, have expertise in SQL and scripting languages, and can build predictive models.
As a marketing data scientist at Notion, you will play a critical role in accelerating Notion's growth by optimizing marketing spend, analyzing campaign effectiveness, and exploring new opportunities for user base growth. Key responsibilities include building models to optimize marketing efforts, designing and analyzing experiments, and partnering with marketing and engineering teams to make data-driven decisions.
The staff data scientist will work on developing statistical methodologies for product experimentation at Instacart. They will collaborate with Engineering to enhance A/B testing capabilities, contribute to adaptive experimentation initiatives, and consult on challenging statistical topics for the greater Data Science community at Instacart.
Senior Data Scientist leading experimentation and personalization projects using machine learning technologies at a Fortune 200 company. Responsibilities include partnering with cross-functional teams, building machine learning models, and leveraging a broad stack of technologies to reveal insights from large volumes of data.
As a Senior Data Scientist at Capital One, you will be leveraging a broad stack of technologies to reveal insights hidden within large volumes of data, building machine learning models, and partnering with cross-functional teams to deliver customer-centric products.
Part of a data science team focusing on personalized recommendation engines and leveraging machine learning technologies like multi-armed bandits and A/B/n testing. Responsibilities include building ML models, working with cross-functional teams, and translating complex work into business goals.
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The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.
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