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BS, MS, or PhD in Computer Science, Information Systems, or a related field, with 15+ years of experience in data engineering, data science, or a similar role. Provide technical leadership, mentoring, and guidance to team members, establishing and enforcing best practices in data engineering and data science.
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You will turn unstructured business opportunities into data science problems and define plans for analysis, metric development, and modeling. You are excited about working on a small team and setting the foundations for data science at Parafin.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Master's degree in Computer Science, Computer Engineering, Information Systems, or related field and five (5) years of experience in the job offered or in a data/software engineer-related occupation.
$190,300 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
$189,560 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Artificial Intelligence, Data Science, Big Data, Business Intelligence, Data Integration, Blockchain, and Distributed Ledger Technologies. Bachelor's degree in a technical discipline, ideally including data science and machine learning.
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Our consultants work closely with our clients’ Compliance and Legal leadership teams, leading cross-functional initiatives around Compliance (e.g., AML, KYC, Sanctions), Data Privacy (e.g., GDPR, CCPA, LGPD), Legal Operations and Process and high-stakes projects.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.
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Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery). The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface - no coding required.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with current and emerging topics in Environmental Sciences, including biodiversity, sustainability, renewable energy, green manufacturing, water conservation, waste management, and climate change, is also desirable.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Provide technical guidance and support to internal Cruise teams-including Engineering, Product Management, and Data Science-to ensure privacy enhancing technologies and solutions are embedded in the product development lifecycle.
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The Data Science and Analytics team drives strategic initiatives to optimize profitability, enhance efficiency, and implement automation across nearly all functions at Brex. We're seeking a versatile Data Scientist to own innovation across our product development, relationship management, risk management, and go-to-market strategies.
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HQCA recently acquired Geli, a leading developer of Energy Management System software for energy storage, solar, and other renewable resources. This role will require the coordinating of large-scale innovative/strategic products and services launched from discovery through implementation in an agile environment.
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Supports data mapping and integrations between the CMS and other platforms and content management systems, such as the Digital Asset Management System (NetX) Writes SQL scripts as needed for data management and assisting users with complex queries.
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Assessment of investment opportunities based on the clinical unmet, scientific rationale, strength of management teams, clinical data and development plans, regulatory outlook, commercial opportunities, intellectual property, competitive landscape and valuation.
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management data science jobs Title: engineer implementation in San Francisco, Beech-grove, Indiana
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