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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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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. Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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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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Job Qualifications: Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Job Responsibilities: Team Leadership and Development: Lead, mentor, and develop a team of data scientists and machine learning engineers.
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Data entry, data review, and GPS use. REQUIREMENTS:BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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This candidate will perform routine scientific and medical research work in science areas such as biology, chemistry, physics, or other related scientific fields; assemble and/or operate various laboratory equipment and apparatus; and record research data in accordance with prescribed procedures, discussing results with supervisor.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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The ideal candidate will have earned a Ph. D. and/or M.D. in biomedical engineering, electrical engineering, physics, material science, computer science, or a related field. Specific focus research areas are open but may include the development, testing and application of nanomaterials, organic electronics, diverse sensors and autonomous or intelligent sensor systems.
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Education: Preferred degree from an accredited University in a Quantitative field of study such as GIS, Geography, Data Science, Math, Statistics, Engineering or Physics. Responsible for business case development, big data analytics modeling using tools (Ex: including but not limited to: ESRI, Precisely, Databricks, Snowflake, AWS Azure, Alteryx etc.
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Bachelor's degree in Computer or Data Science, Econometrics, Statistics, Applied Mathematics, or related field. Create interactive dashboards, reports, and visualizations using data visualization tools (e.g., Tableau, Power BI) to effectively communicate key insights and trends to stakeholders.
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Manages data collection processes and analyzes data acquired from predictive tools measuring vibration, oil/lubrication, thermography, and ultrasound. Our four integrated businesses - Roofing, Insulation, Doors, and Composites - provide durable, sustainable, energy-efficient solutions that leverage our unique material science, manufacturing, and market knowledge to help our customers win and grow.
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Good understanding of application and data security, AI/Gen AI, Machine Learning, or data science. Julia, MATLAB, Scala, LISP, Prolog, and JavaScript for various AI/ML applications, including data analysis, high-performance computing, enterprise-level applications, and web-based ML.
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data science jobs in Dallas, DE, Canada
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