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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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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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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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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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Top Data Science Providers in India 2022: Penetration and Maturity (PeMa) Quadrant. India’s most promising data science companies in 2022. Tools: Azure PowerBI QLik Snowflake Anaplan Location : Dallas CTC : 120K - 170K Benefits About CloudHire: Our Client: As a data analytics and enterprise planning powerhouse, CloudHire Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner.
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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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Undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree. The preferred candidate will have an undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree.
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Civil Engineering (especially Structural emphasis or interest), Chemical Engineering, Computer Engineering/Science, Cybersecurity, Electrical Engineering, Industrial Engineering, Materials Science, Mechanical Engineering, Manufacturing Engineering, Mathematics, Physics, Software Engineering, Structural Engineering, Quality Engineering, Industrial Engineering Technical, Industrial Management, Operations Research, Engineering Mechanics.
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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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Skills: reference data management,system queries,powerapps,business requirements,azure adf,cloud,survivorship rules,enterprise,data quality management,verbal communication skills,powerbi,azure,master data management,data management,data validation,microsoft cloud tools,written communication skills,azure profisee,master data,mdm,azure databricks,management,communication.
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Hands on experience with big data frameworks and modern data technologies (Snowflake, dbt, Airflow, Tableau, SQL) 2+ years of experience as a Product Manager in a modern, data-driven environment or 2+ years of combined Data Engineering, Analytics, Product Management experience.
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Data Scientist II, Department of NeurologyClinical Informatics and Natural Language Processing / Machine LearningWhy UT Southwestern Medical Center? A multi-year Data Scientist position is available in the Department of Neurology and the Clinical Informatics Center at UT Southwestern Medical Center.
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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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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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big data science jobs Title: finance manager in Dallas, PR, France
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