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Proficiency in data analysis tools (, Python, R, or similar) Excellent analytical and problem-solving skills Comprehensive knowledge of at least one substantive area of compliance, such as banking regulations, anti-money laundering, or anti-corruption Added bonus if you have:Effectively communicates with all levels of technical and non-technical personnel.
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Process AI & Automation Developer (Manager) (Multiple Positions) (1509604), Ernst & Young LLP, New York, NY. Analyze business and data processing problems to implement and improve computer systems using robotics technology.
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Center 3 (19075), United States of America, McLean, Virginia Manager, Data Science - NLP At Capital One, we think big and do big things. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app.
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Qualifications:Bachelor's or Master's degree in Exercise Science, Exercise Physiology, or a related field. Position Overview: As an Exercise Physiologist specializing in cardiac rehabilitation, you will play a crucial role in guiding and supporting patients and athletes through their personal health journey.
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Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment.
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Qualifications: 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Strong knowledge of data analytics, data science, and ETL processes.
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5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Knowledge of public clouds (AWS, Azure, GCP) with familiarity in data warehousing solutions like Snowflake and Databricks.
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Proven experience (15+ years) in data engineering, data science, and analytics roles within the financial services industry, particularly in wealth management. Bachelor’s degree in computer science, Data Science, Statistics, or a related field.
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Experience in building data science models and applying advanced statistical techniques to business problems; proficiency in R, Python, or Stata. 4+ years working and/or studying in the field of data science and/or statistics.
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Research portfolio that demonstrates interest in and experience with empirical, methodological, or theoretical scholarship on socio-economic inequality, with a focus on the content areas noted above; · High level of technical skill, expertise in a range of quantitative methods, and experience with complex data sets; · Experience with communicating research findings in a way that is relevant to the public.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Experience in data collection from systems like ServiceNow, Splunk, or other data lakes, along with the ability to extract and normalize data for the establishment of routine feeds for IAM processes.
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Hands on experience with programming for extract transform operations and data analysis using languages such as, but not limited to R, Python, SQL, and Excel VBA. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Shiny, Tableau, PowerBI, and front-end technologies and languages.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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data science jobs Title: high school science in Newark, NJ
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