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Advanced degree (MSc or PhD) in statistics, mathematics, economics, applied science or equivalent STEM degree strongly preferred 8+ years of experience in a data science and analytics role 5+ years of experience either working as a data scientist, managing data scientists, or some combination thereof, with a focus on Marketing Optimization Analytics 2+ years of experience leading and mentoring teams that include highly educated (PhD) data scientists.
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8+ years of experience working in Transfer Pricing in a consulting environmentBachelor’s, Master’s, or Ph. D. in Economics, Finance, Management, Business, Mathematics/Statistics, or equivalentPrior supervisory experienceAbility to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve.
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BASIC REQUIREMENTS All GRADES: Degree: economics, that included at least 21 semester hours in economics and 3 semester hours in statistics, accounting, or calculus. IOR BASIC REQUIREMENTS: You must have a Bachelor's or higher degree in economics from an accredited college or university, that included at least 21 semester hours in economics and 3 semester hours in statistics, accounting, or calculus OR A combination of education and experience.
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Degree: major or equivalent, or a combination of courses totaling at least 24 semester hours, in international law and international relations, political science, economics, history, sociology, geography, social or cultural anthropology, law, statistics, or in the humanities; or 12 semester hours in one of the above disciplines and 12 semester hours in statistics/quantitative methods.
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Master's Degree in Finance, Accounting, Business Administration, Economics, Statistics, or related field. Allegheny Health Network. Master's Degree in Finance, Accounting, Business Administration, Economics, Statistics, or related field.
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Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Sys-tems, or a related quantitative field. PREFERRED QUALIFICATIONS- Experience in working directly with business stakeholders to translate between data and business needs- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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Requirements: A bachelor's or associate's degree in economics, finance, statistics, computer science, or related field. The research analyst's responsibilities include researching, collecting, analyzing, and interpreting data, and using the data to guide the business's decision-making.
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You have a bachelor's degree in international development, public health, public finance, public policy, economics, statistics, or related field. We drive innovation: Our Accelerator builds the next generation of exceptional programs, taking an approach most similar to a venture capital model.
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Bachelor's Degree in Economics, Statistics, Mathematics, International Relations, Public Policy, Social Sciences, or other relevant field. Proficient with data preparation and visualization tools such as PowerBI, Alteryx, Snowflake.
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BS/BA in Advertising, Marketing, Journalism, Business, Statistics, Economics, Math, Computer Science, Sociology or equivalent. A basic knowledge of statistics. Experience with data visualization/advanced analytics/predictive modeling tools (e.g. Dapresy, Power BI, SPSS, R, Python, SPSS.
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Educational Background : Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Management, or a related field. Technical Skills : Proficiency in data analysis tools and programming languages such as SQL, Python, or R. Experience with data visualization software like Tableau, Power BI, or similar.
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Selective Placement Factor: Experience working within a rapid response international assistance organization where the mission focuses on political transitions and stabilization, community development, mediation/arbitration, conflict resolution, democracy and governance, international law, human rights activities, or humanitarian response.
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Must have a Bachelor’s degree in Data Science, Business Analytics, Economics, Finance, Mathematics, Statistics, Computer Science, Information Technology, Computer Engineering or a related quantitative field and 3 years of related work experience.
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Bachelors or Masters in Statistics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics or a related field. Experience in querying and manipulating data for analysis — EDA, statistics, and visualizations.
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PhD or Master's candidates with a concentration in a quantitative field such as Math, Statistics, Data Science, Economics, Computer Science, Operations Research, Analytics, Engineering, or Physics.
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