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GPA of 3.5 or higher is preferred Common areas of study include but are not limited to: Economics Data Science Financial, Stochastic, and other applied Math Statistics and econometrics Computer Science Engineering Operations Research Other sciences, such as Physics Candidates should possess a high level of intellectual curiosity, a drive for excellence, and a commitment to achieving sustainable results.
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BS/MS in engineering or atmospheric science and 5+ years of solar resource and battery storage modeling experience – wind generation experience a plus! Experience conducting statistical analysis on solar and battery data, including forecasts and technology suitability evaluations.
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If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems, learn more about CRA.
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Qualifications: Master’s degree in statistics, biostatistics, data science, epidemiology, or other related field (e.g., computer science, engineering, or mathematics) is required.
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science.
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For data Science/Machine learning. Presently, we are actively looking for entry-level Data Analyst with a driven mindset. Knowledge of Statistics, Python, data visualization tools.
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QualificationsRequired Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics) Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.
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Minimum Requirements Bachelor’s degree in Computer Science, Information Technology, Data Visualization or related fields. Today, we are helping companies take on some of the world’s most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.
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Education/ experience with data engineering, quantitative analysis, or data science. We are accelerating and looking for a Healthcare Data Analyst to join our team.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidatesREQUIRED SKILLS For Java /Full stack/Devops PositionsBachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, ITKnowledge of Core Java , javascript , C.
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The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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Basic Qualifications: A bachelor's degree, preferably in a technical discipline, e.g., computer science, data science, engineering, applied mathematics, or closely related field or equivalent on-the-job experience.
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Collaborate with Product Managers, Business Stakeholders, Data Engineering/Platform and Data Science teams to execute the Data product roadmaps. Job Description: Business Analyst - DataDuration: 6 months contract (potential extension)Rate: $70 - $80 w2 hourlyLocation: Chicago, IL (remote)PURPOSE:In this role you’ll help gather and organize information related to data products which will be used to build business-critical, scalable data processing solutions, and intuitive and trustworthy data products that power data discovery, self-service analytics and drive product innovation.
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Advanced degrees or relevant certifications (e.g., CFA, FRM, Data Science certifications) preferred. Bachelor's degree in Finance, Business, Data Science, Statistics, or a related field.
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Three or more years’ experience in a similar role or field including: corporate finance, data science, business analytics, consulting, investment banking, or private equity. Work in collaboration with the Accounting, Finance, and Data Science Departments to assist with month end close tasks as needed.
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data science jobs Title: analyst in Chicago, IL
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