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We are seeking a passionate data scientist to work together with the Peacock Science & Technology Fellow on critical Peacock Decision Science initiatives and to boost innovation and research in Machine Learning, Artificial Intelligence and Media Science.
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Our tech stack is built on Python, React, Docker, Kubernetes, and Google Cloud Platform. Grow together: Company wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback.
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Our employee learning hub gives you access to the best learning in the industry to receive certifications and accreditations, including Microsoft University, AWS Cloud Center of Excellence, Udemy, and the Harvard Business Review.
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Create and collaborate on technical designs, design data models and implement robust, secure, maintainable code and tests (Elixir/Phoenix, Python/Flask, ReactJS and Go.) You will report directly to the CTO and work closely with the others in the tech, product and data science teams to build our next products and shape our technical architecture and culture.
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Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Experience working with modern data engineering tech stack and platforms (Databricks, Snowflake, AWS Services, DBT.
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Data analytics experience (SQL, Looker Studio, Python) You’ll work both upstream with product managers, engineers, and data scientists to represent the voice of the customer and shape product decisions, as well as downstream with customer facing teams and key operational partners and vendors to ensure Ramp is equipped to scale rapidly.
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Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies.
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Develop reports and dashboards using SQL, Excel, R/Python, and Tableau. Automation of processes using Python, R, Microsoft Power Automate, batch scripts. Data Analyst- Healthcare.
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The Learning to Work (LTW) at Young Adult Borough Centers Program will provide services to students, ages 17 1/2-21 that are over-aged for grade, under-credited, and have spent at least one year in another high school to earn a high school diploma and gain valuable vocational and life skills supports.
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Depth of understanding of business intelligence software such as Datorama, an expertise in media data and financials (PRISMA, Ad Servers) and cloud base services such as Snowflake, Databricks, Azure.
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Experience with common Python data science packages (NumPy, Pandas, etc) Our growing team of 15+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs and Bridgewater Associates.
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Demonstrated experience in overseeing product initiatives powered by data science methodologies, such as computer vision (CV) or natural language processing (NLP). Your leadership will bridge our data science endeavors with operational excellence, guiding the development of ML/AI technologies that power our classification systems.
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The Medical Science Liaison (MSL) is a field-based Medical Affairs professional who serves as the scientific face between MAPS Public Benefit Corporation (MAPS PBC) and external Healthcare Professionals (HCPs.
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Extensive experience with statistical analysis, data modeling, and data visualization tools such as R, Python, SQL, and Tableau. The ideal candidate will have a deep understanding of Direct-to-Consumer research methodologies, data analysis, and statistical modeling, as well as a strong business acumen.
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Production experience with data platforms and tools such a Airflow, DBT, Kafka, StitchData, and Looker. Design and document our data taxonomy to ensure consistency across the organization.
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