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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
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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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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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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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REQUIREMENTS:BS/BA degree in natural science field of study required. Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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Minimum of bachelors degree from an accredited college/university; prefer Masters degree in the fields of study - business administration / management, Economics, Finance, Mathematics, Statistics.
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Bachelors degree or masters degree in engineering, climate science, environmental science, geology or related discipline. Deliver medium to large size due diligence and EHS and ESG advisory projects from local to global scale for private equity and trade clients.
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Bachelor's degree in a relevant field such as Human-Computer Interaction, Computer Science, Psychology, Cognitive Science, Applied Statistics, or a related discipline. Collect, analyze, and interpret quantitative data using tools such as surveys, analytics platforms, and behavioral data to inform product decisions.
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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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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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Job Qualifications:Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs. Job Responsibilities: Team Leadership and Development: Lead, mentor, and develop a team of data scientists and machine learning engineers.
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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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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience.
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data science masters degree jobs Title: analytics in Dallas, NV, Arizona
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