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Design, d evelop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. Th e ideal candidate should possess strong hands-on knowledge in data science, machine learning, deep learning, NLP, and GenAI.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products. Working as a leader within TRKKN globally, you will contribute directly to company growth goals by faithfully managing and executing robust and complex data science and engineering projects.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.
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Experience working on a data science team, participating in scrums, sprints, and retrospectives. 5+ years of experience, preferably in Data Science. As a Sr. Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you'll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients' marketing investment.
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Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
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You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
$252,450 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of data integration methodologies such as change data capture, ETL & ELT processes, real-time data processing, micro-services, data lifecycle management, data lake, data warehouse, data vault, data mesh, data marketplace and data science concepts.
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As needed, collaborate with internal and external collaborators to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.
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Certified Analytics Professional (CAP), Data Science Council of America(DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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At least 6+ years of experience in Data platforms including Snowflake (Preferred), Alation, Collibra, Cloudera Hadoop, Data Science Workbench, RStudio. At least 8 + years of experience in key areas of data management including master data, metadata, data architecture, data governance, data lineage, data quality, data modeling, data standards, data strategy.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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We are seeking a talented RPA & Data Automation Engineer to drive our automation and data management initiatives. The RPA & Data Automation Engineer will be a key player in our team, responsible for designing, developing, and implementing automation solutions and managing database operations.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago
data science jobs Company: Marriott in Charlotte, NC
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