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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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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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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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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. As the largest global pure play sustainability consultancy, we partner with the world’s leading organizations, creating innovative solutions to sustainability challenges and unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations.
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Minimum 2 years of management and leadership experience Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Limited immigration sponsorship may be available Preferred Technical skills: Data Science / Analytics using a multitude of data sources.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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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 modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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The Sensor Grid engineering team is responsible for all security sensors within Technology Risk. You will work closely with Threat Management Centre, Hunt, Detection Engineering, and Data Science teams to ensure our sensors and data streams are effectively configured, streamlined, integrated, automated and monitored to ensure the systems and data necessary to protect the firm from cyber threats is available.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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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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As a Quantitative UX Researcher, you will be responsible for Survey Management, which includes design, implementation and deployment to collect generative and evaluative quantitative data, ensuring customer questions are clear, unbiased, and aligned with experience metrics, survey design format, scales, standards and research objectives.
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Bachelors or Masters in engineering, math, physics, computer science, economics or equivalent Preferred Skills Experience with Snowflake, Azure Power BI Certifications Experience in an Agile environment Experience with Python for data analysis and automation tasks.
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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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data science jobs Title: solutions architect in Dallas, NV, Arizona
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