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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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The individual will also partner with the role's line manager, the Global Communications Leader, Data Science and Precision Medicine, to profile the Innovative Medicine sector's efforts to advance progress toward precision medicine and leverage artificial intelligence (AI), machine learning (ML), real-world evidence (RWE) and digital health to drive our innovation and deepen our patient impact.
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MS/PhD in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 8-10+ (BS) 6-8+ (MS) or 3-5+ (PhD) years of relevant data science/analytics experience in the pharmaceutical industry.
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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
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Stay updated with the latest data science and computational biology research and methodologies, integrating these into internal R&D. Preferred: Drug discovery experience, CNS/neurodegenerative disease research, machine learning applications in biological data.
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Data science, machine learning, optimization models, PhD 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.
$90,000 - $180,000 a yearFull-timeExpandUpdated 16 days ago - UpvoteDownvoteShare Job
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Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. Experience with GCP Services - Familiarity with GCP services, particularly BigQuery for data warehousing and Composer for workflow management.
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We are looking for a bioinformatics/data science lead to advance Curve’s biomarker discovery capabilities, NGS bioinformatics pipelines, and clinical test classifiers. Ph. D. in Bioinformatics, Biology, Computational Biology, Data Science, Computer Science or a related field.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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A Masters’ degree in computer science, AI/ML, data science, mathematics, statistics, applied linguistics/psychology/neuroscience and related fields, or 2+ years of equivalent experience.
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Experience: You have Ph. D. (or MS with 4+ years of post-MS experience) in one of the following areas: Remote Sensing, Image Processing, Computer Vision, Data Science. You will build cross-functional relationships to partner with the business stakeholders and collaborate with Bayer’s Data Science community to co-develop innovative solutions.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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This role demands a blend of expertise in data science and a deep understanding of the semiconductor industry, aiming to harness advanced data analytics, predictive modeling, and artificial intelligence to address complex business challenges.
$180,000 - $270,000 a yearFull-timeExpandUpdated 17 days ago - UpvoteDownvoteShare Job
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Experience in data engineering or data science on GCP. Bachelor’s or master’s degree in computer science, Software Engineering, Data Science or related field, or equivalent practical experience.
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