109 Recent Graduate jobs in Aurora

• Assist senior data scientists in collecting, cleaning, and transforming large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Support the development and implementation of machine learning models and algorithms.
• Assist in the validation and testing of statistical models and data-driven solutions.
• Create data visualizations and reports to communicate findings to technical and non-technical audiences.
• Contribute to the documentation of data processes, methodologies, and findings.
• Participate in team meetings, brainstorm sessions, and learning workshops.
• Collaborate with engineering and product teams to integrate data science solutions into existing platforms.
• Learn and apply various data mining techniques and statistical methodologies.
• Gain exposure to big data technologies and cloud computing platforms.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong foundation in statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Basic understanding of SQL and database management.
• Excellent analytical and problem-solving abilities.
• Strong written and verbal communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work collaboratively in a team environment.
• Demonstrated interest in data science through personal projects, coursework, or internships is highly valued.

• Assist in the collection, cleaning, and processing of large datasets.
• Perform data analysis using statistical methods and tools.
• Create reports and dashboards to visualize data and communicate findings.
• Identify trends, patterns, and insights within datasets.
• Support senior analysts and cross-functional teams with data-related tasks.
• Learn and apply new data analysis techniques and technologies.
• Contribute to data quality assurance processes.
• Participate in team meetings and contribute ideas for data improvement.
• Develop a strong understanding of the business context and its data needs.
• Assist in the documentation of data sources and analysis processes.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of basic statistical concepts.
• Proficiency in spreadsheet software (e.g., Excel).
• Familiarity with data analysis tools or programming languages (e.g., Python, R, SQL) is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and develop new skills.
• Interest in the (Industry relevant to client) sector is a plus.

• Assist in gathering business requirements from stakeholders through interviews and workshops.
• Document business processes, workflows, and functional specifications.
• Support the analysis of business data to identify trends and opportunities for improvement.
• Collaborate with development teams to translate business needs into technical requirements.
• Participate in testing activities and validate solutions against requirements.
• Contribute to project planning and status reporting.
• Research industry best practices and emerging trends.
• Develop presentations and reports to communicate findings and recommendations.
• Engage in continuous learning and professional development within the program.
• Support the ongoing maintenance and enhancement of business systems.

• Assist in data collection, cleaning, and preprocessing.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development and implementation of machine learning models.
• Collaborate with senior data scientists on various projects.
• Conduct statistical analysis and interpret results.
• Visualize data and create reports to communicate findings.
• Learn and apply new data science techniques and tools.
• Assist in A/B testing and experiment design.
• Contribute to data governance and quality initiatives.
• Participate in team meetings and project discussions.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Foundational knowledge of data science concepts and methodologies.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Basic understanding of machine learning algorithms and statistical modeling.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn and adapt in a fast-paced environment.
• Ability to work effectively in a hybrid setting.
• Prior internship or project experience in data analysis is a plus.

• Assisting senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
• Performing exploratory data analysis to identify patterns, trends, and insights.
• Contributing to the development and implementation of machine learning models under supervision.
• Creating data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Collaborating with cross-functional teams to understand data needs and deliver analytical solutions.
• Participating in code reviews and contributing to the documentation of data science processes.
• Learning and applying various statistical techniques and machine learning algorithms.
• Staying current with advancements in data science and artificial intelligence.
• Supporting ad-hoc data analysis requests from different departments.

• A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field, obtained within the last 12 months.
• Strong understanding of statistical principles and data analysis techniques.
• Proficiency in at least one programming language commonly used in data science, such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
• Basic knowledge of machine learning concepts and algorithms.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and interpersonal skills, with the ability to explain technical concepts.
• A keen interest in continuous learning and development within the data science field.
• Ability to work effectively in a team environment.

• Assisting in data collection, extraction, and organization from various sources.
• Performing data cleaning and preprocessing tasks to ensure data quality and integrity.
• Supporting the analysis of datasets to identify trends, patterns, and insights.
• Helping to develop and maintain reports and dashboards using BI tools.
• Collaborating with senior analysts to visualize data and communicate findings effectively.
• Participating in team meetings and contributing to data-related projects.
• Learning and applying statistical methods and analytical techniques.
• Assisting in the documentation of data processes and methodologies.
• Supporting ad-hoc data requests from various business units.
• Developing a foundational understanding of business operations through data analysis.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Foundational knowledge of statistical concepts and data analysis principles.
• Familiarity with data analysis tools and programming languages such as Excel, SQL, Python (Pandas, NumPy), or R is a plus.
• Strong analytical and problem-solving skills.
• High attention to detail and accuracy.
• Excellent written and verbal communication skills.
• Ability to work effectively in a team environment and follow instructions.
• Proactive attitude and a strong desire to learn about data analytics.
• Must be legally authorized to work in the US and available for the internship duration.

• Rotational assignments in various key business units.
• Exposure to different financial services functions.
• Comprehensive training and professional development.
• Mentorship from experienced industry leaders.
• Opportunity to work on challenging business projects.
• Networking events with colleagues and senior management.
• Development of analytical, communication, and leadership skills.
• Exploration of career paths within the financial services industry.
• Contribution to team goals and company initiatives.
• Potential for full-time employment post-program.

Description:

$5000 sIGN-ON BONUS ELIGIBLE POSITION

-May be entitled to translation/bilingual, shift or other wage premiums as governed by the applicable collective bargaining agreement. Please refer to the respective collective bargaining agreement for additional information on such wage premiums: local-contracts.

Job Summary:

Provides nursing care and services to patients/families under the direct supervision of a registered nurse or provider. Care is limited to activities that may be provided by unlicensed assistive personnel with demonstrated and documented competencies that do not require licensure.

Essential Responsibilities:

• Contributes to ongoing patient data collection and documentation; identifies changes in patient status and reports changes to RN/Provider; implements patient care under the direction of the registered nurse or provider.
• Demonstrates knowledge and ability to apply the nursing process.
• Performs nursing tasks as delegated by a registered nurse or provider that does not require licensure.
• Demonstrates technical competence in basic nursing skills and use of basic patient care equipment.
• Records data and nursing care activities in the medical record consistent with department and regulatory standards.
• Supports nursing care by providing related services such as clerical support and patient transportation.
• D emonstrates knowledge of and application of infection control principles and standards, including patient, environment, and employee situations.
• Reports incidents, work-related injuries, unsafe equipment or environment to management or other appropriate staff.
• Participates as directed during emergency situations.
• Performs administrative and other duties and accepts responsibility as assigned.

Basic Qualifications:

Experience

• N/A

Education

• Graduate from an accredited school of nursing program by start date.
• Must obtain and pass NCLEX-PN exam and obtain a nursing license within six (6) months from the date of hire.
• Qualifies for IV authority.

License, Certification, Registration

• N/A

Additional Requirements:

Preferred Qualifications:

• Experience working with electronic medical records.
• Basic Life Support recommended.