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Reporting to the Director of Data Science, the Business Analyst will assist in manipulating large data sets, automating data extraction processes, and developing analysis solutions using business intelligence platforms to address service reporting requirements.
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Seeking a VP with expertise in computational chemistry and data science, ready to enhance and expand a state-of-the-art computational platform. Oversee the growth and management of the computational chemistry and data science teams, fostering a cohesive environment across US and China operations.
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He/she will play a pivotal role in supporting different functional areas of clinical operation, clinical science, biometrics and external CROs to monitoring the on-going studies and generating new hypotheses and insights from the completed studies using exploratory data analysis techniques and visualizations.
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BS in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 2-4+ years of relevant data science/analytics experience in the pharmaceutical industry or MS with 0-2+ years relevant experience.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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The Head of Data Science will lead data science efforts related to the business of the Brooklyn Nets, New York Liberty, Long Island Nets and Barclays Center. Lead the development and implementation of the company's data science strategy, including the use of predictive analytics to tell a story, deliver insights and drive strategic growth.
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Prior experience applying data science techniques to oil and gas drilling data. 5+ years' applying data science techniques to oil and gas automation projects. Provide guidance on algorithm design, research, deployment, and general operations to the data science team as a whole.
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Data science and cloud certifications are a plus (Certified Data Scientist (CDS), AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional.
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
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Contribute towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
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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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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Connect with Quinnipiac on Facebook, Instagram, YouTube, TikTok and X. Responsibilities: Teach some combination of classes from the following: introductory-level courses in international relations, international political economy, international development, research methods, statistics, or data science.
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data science jobs Title: director Company: Indeed
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