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Major(s): Business, Computer Forensics, Cybersecurity, Data Analytics/Science, Digital Forensics, Economics, Information Technology Management, History, Art History, Journalism, Investigative Journalism, Law, Pre-Law, International Law, Library Science, Legal Studies, Linguistics, Management Information Systems, Philosophy, Political Science, Research & Analysis/Legal Research, Risk Management.
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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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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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field.
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Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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Cyber Data Science (CDS) is looking for a data-focused professional with cyber security experience to join our new and growing team. Bachelor’s Degree in Computer Science, Cyber Security, Engineering, Data Analytics, or related field.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Associates Degree in laboratory science (Chemical or Biological Science) or medical laboratory technology from an accredited institution and certification as a Medical Technologist. Bachelor’s degree in a chemical, physical, biological or clinical laboratory science or medical technology from an accredited institution and applicants must be certified.
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Bachelor's Degree or equivalent experience in Market Research or Analytics, Computer/Data Science, Statistics, CX/UX Research or Analysis or similar field. Advanced proficiency in Qualtrics/Clarabridge, SPSS, SQL, R, Python, Tableau and Power BI.
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Extend existing Airflow DAG to export labeling data in various formats, ensuring compatibility and data integrity. Data Engineering: Experience in data pipeline design and management.
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The School plays leadership roles in TRIAD, the cross-disciplinary NSF-funded center in data science, and the NSF-funded research training hub in Geometry and Topology (GTGT). The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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Applicants should have a Juris Doctor (J.D.), Doctor of the Science of Law (J.S.D.), Doctor of Juridical Science (S.J.D.), LL.M. (Master of Laws), or Bachelor of Laws (LL.B.) from an ABA accredited law school.
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data science python jobs Company: Capgemini in Atlanta, CO, United Kingdom
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