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As part of the Direct-to-Consumer Recommendation Sciences team, the Principal Data Scientist will be responsible for creating machine learning solutions for NBCU’s video streaming service including but not limited to, content recommendations, product experience personalization, and personalized ad services.
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SourcePro Search is conducting a search for an exceptional landlord-tenant attorney to join an esteemed NYC real estate law firm. The ideal candidate will possess a minimum of 7 years' experience in landlord-tenant resolution and trial work across Civil Court, Housing Court, and Supreme Court.
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Experience working with modern data engineering tech stack and platforms (Databricks, Snowflake, AWS Services, DBT) Experience working with real-time data streams processing and ingestion frameworks ( Apache Kafka, Kinesis, Flink or Spark Structured Streaming.
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In-depth understanding and hands-on experience with large-scale systems and Big Data. In-depth understanding and hands-on experience with distributed data stores. 3+ years of hands-on experience in SQL and data analysis.
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Facilitate and/or supervise the collection of data for Fordham University, DYCD evaluator assembling the data and arranging for its timely delivery as requested. To help fulfill our mission, we cultivate a culture of learning, leading, and collaboration to enhance community impact.
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The vast amount of data, variety of quickly-evolving marketing channels, and hunger for analytics all intersect to make Capital One's marketing space a target-rich environment for optimization through data science and machine learning.
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The successful candidate will have a background in influencing the data strategy and creating reference architectures and data models as part of an Enterprise Data Team with a functional understanding of the Digital Media and Entertainment landscape.
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Has hands on experience architecting and building secure, scalable, and flexible enterprise data projects in Microsoft Azure. 5+ years of hands-on experience in lead roles architecting solutions at scale for cloud data platforms.
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Expertise with SQL, Python and data visualization tools (i.e., Looker, Tableau, Thoughtspot) You will help shape our data strategy, establish excellence in solving business problems and develop insights that guide our roadmap, design decisions and marketing strategies across our artist and fan platforms.
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Preferred Backgrounds● Athletic Trainer, Personal Trainer, or Sports Performance Coach ● Corrective Exercise Specialist, Kinesiology and Sports Medicine● Physical Therapist (and Aides who are conducting hands on therapy assists)● Chiropractors (and those in training)● Massage Therapist● Former collegiate and professional athletes with strong understanding of anatomy● Pilates or Yoga Instructors● Formally educated and trained Dancers.
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We are a small but mighty group of problem solvers, innovators, and experienced AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we're looking for people to join our team who are ambitious, curious, and self-motivated.
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Data Management: Accurately manage client and transaction data using software like MCA Track, Onyx IQ, ConvergeHub, and Chetu to ensure precise record-keeping and reporting. Market Analysis: Analyze industry trends and data to develop and refine cash advance underwriting strategies, ensuring competitive positioning and profitability.
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Pulling CRM data from the client's proprietary data lake hosted in Snowflake. Promote the use of data and objective decision making across PlayStation and its marketing partners.
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Through our to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom.
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At , we solve the complex data problem in production machine learning. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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