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The Lead Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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Specifically, we are looking for a Senior data scientist with 5+ years of experience to work with our Data team to power our analytics and some user-facing products. As a data scientist at CoinList, you'll find that your days are filled with all sorts of fascinating challenges.
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The Opportunity:As a Data Scientist at Kandji, your research will advance our core MDM and EDR products by leveraging machine learning techniques to enable automatic threat detection. You will be a critical part of our R&D organization, collaborating with the Threat Intelligence and Data Engineering teams to deliver innovative solutions to the Product organization.
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Magnifi is seeking a Senior LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models. Magnifi by TIFIN is changing the way consumers shop for investments by bringing trusted data, insights, and a world of investment opportunities right to their fingertips.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Depending on the project you work on, experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, large-scale data sets, Natural Language Processing and Graph algorithms.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We’re looking for a Senior Data Scientist to join our team at Disco Technology! As a Data Scientist at Disco Technology, you will take a technical leadership role and work as part of a world-class, multi-disciplinary team to work on the core technology that powers Disco's recommendations and full product suite.
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Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly.
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As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As a data scientist, you’ll model complex user behaviors, design metrics for nuanced outcomes, and develop the quantitative theories that drive internal decision making. Deep curiosity around product and the business , including a track record of building strong product expertise as a data scientist.
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Work experience as a Data Scientist, Systems Analyst, or Data Engineer preferred; open to entry level experience. We’re seeking an experienced data scientist to deliver insights daily.
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About the Role:As the Ads Data Scientist, you will partner closely with Product, Engineering, Design, Sales, Ad Ops and Finance to build an amazing ads product for our users and advertisers.
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In this role, you'll join the Data Science and Platform (DSP) team at Chime, responsible for developing innovative machine learning (ML) solutions in the fintech industry. Work on internal tooling and standards that reduce ML model development time and deliver an excellent Data Science (DS) experience.
InternExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Acquire, clean, structure data from multiple sources (e.g., Redshift, Deepsea, Falcon), and analyze the data using SQL / Python / R. Collaborate with engineers and data scientists to turn insights into self-service dashboards or data products.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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data job Title: data scientist in San Francisco, CA
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