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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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1 year of experience delivering solutions in at least two of the following: data science, data research, geospatial, finance, econometrics, cloud computing or big data and database management.
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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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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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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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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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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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Bachelor's degree in Biology, Chemistry, Microbiology, Environmental Science, Physical Science or equivalent experience is preferred. Strong analytical skills with ability to make data driven decisions.
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Informatica Intelligent Cloud Services (IICS): Expertise in leveraging IICS for cloud-based data integration, data quality, and master data management solutions. Power BI: Familiarity with Microsoft Power BI for data visualization, reporting, and dashboarding.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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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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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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Bachelor of Science degree from an accredited college/university with a major in biological, chemical, physical, or clinical laboratory science AND at least two years' experience in a role equivalent to that of a Medical Laboratory Technician (MLT) in a clinical laboratory.
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data science jobs Title: management in Dallas, WA, Ohio
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