Data Scientist, Hockey Analytics
By Chicago Blackhawks At Chicago, IL, United States
Excellent written and verbal communication, interpersonal, organizational and project management skills.
2-3 years of work experience in statistics, computer science, machine learning, mathematics, or a related field.
Degree in computer science, statistics, mathematics, economics, finance, business analytics, or related field.
Experience analyzing datasets and training statistical models using R, Python, or equivalent.
Ability to manage priorities and coordinate tasks to solve day-to-day challenges in a dynamic environment.
Build, maintain, and optimize statistical models to evaluate specific aspects of player value and to answer other hockey research questions.
Data Scientist I/Ii
By AbbVie At Illinois, United States
Encourage adoption of your computational tools through stakeholder training and education.
Basic understanding in software engineering best practices and experience developing software with a team of engineers or data scientists.
Experience with Spark and SQL.
Strong written and oral English communication skills.
Background in life sciences or work experience in the pharmaceutical industry.
Develop dashboards using Plotly, Dash, and Shiny.
Scientist I/Ii, In Vivo Oncology
By AbbVie At Waukegan, IL, United States
Familiarity with data analysis, presentation, management and statistical software (e.g. Microsoft Office Suite, Study Director, JMP).
For Scientist I: BS with 5+ years of experience or MS with 2+ years relevant experience.
For Scientist II: BS with 7+ years of experience or MS with 5+ years relevant experience.
Embraces the ideas of others, nurtures innovation and manages innovation to reality.
Work as part of a multidisciplinary research team under the mentorship of a supervisor.
Independently design and conduct critical experiments that further project goals.
Decision Scientist-Supply Chain Analytics, Category Management Analytics (Virtual/Remote)
By US Foods At , , Il $83,400 - $111,200 a year
Skilled experience with Microsoft Office, including Excel and PowerPoint
Standards and Best Practices: Adhere to best practices in decision science, as directed by manager
Perform other duties as assigned by your manager
Internal: Frontline associates & managers within Insights & Analytics as well as in other orgs requesting data (e.g., Supply Chain, Sales).
Three years of experience in research, statistics, experimental design, synthesizing, implementing, and deploying models
Knowledge of statistics utilizing descriptive, inferential and regression-based approaches

Are you looking for an exciting opportunity to use your analytical skills to make an impact? We are looking for an Analytics Scientist I to join our team and help us develop innovative solutions to complex problems. You will be responsible for analyzing data, developing predictive models, and creating reports to help us make better decisions. If you are passionate about data and analytics and want to make a difference, this is the job for you!

Overview Analytics Scientist I is a professional who specializes in the analysis of data to provide insights and solutions to business problems. They use a variety of techniques, including statistical analysis, machine learning, and data mining, to uncover patterns and trends in data. They are responsible for developing and implementing data-driven strategies to improve business performance. Detailed Job Description Analytics Scientist I is responsible for developing and implementing data-driven strategies to improve business performance. They analyze data to identify patterns and trends, and develop predictive models to forecast future outcomes. They use a variety of techniques, including statistical analysis, machine learning, and data mining, to uncover insights from data. They also develop and maintain data pipelines to ensure data accuracy and integrity. Additionally, they collaborate with other departments to ensure that data-driven solutions are implemented effectively. Job Skills Required
• Strong analytical and problem-solving skills
• Knowledge of data analysis techniques and tools
• Knowledge of machine learning and data mining
• Knowledge of statistical analysis
• Knowledge of data visualization techniques
• Ability to interpret and communicate data insights
• Ability to work independently and in a team environment
• Ability to manage multiple projects simultaneously
Job Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field
• Experience with data analysis, machine learning, and data mining
• Experience with statistical analysis and data visualization
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data management systems such as Hadoop and Spark
• Excellent written and verbal communication skills
Job Knowledge
• Knowledge of data analysis techniques and tools
• Knowledge of machine learning and data mining
• Knowledge of statistical analysis
• Knowledge of data visualization techniques
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data management systems such as Hadoop and Spark
Job Experience
• Experience with data analysis, machine learning, and data mining
• Experience with statistical analysis and data visualization
• Experience with data management systems such as Hadoop and Spark
• Experience with programming languages such as Python, R, and SQL
Job Responsibilities
• Develop and implement data-driven strategies to improve business performance
• Analyze data to identify patterns and trends
• Develop predictive models to forecast future outcomes
• Use a variety of techniques, including statistical analysis, machine learning,