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Threat Analytics Data Scientist Jobs in Indiana

Data Scientist, Product Analytics
By Etsy At , Brooklyn, 11201 $104,000 - $136,000 a year
Work closely and collaboratively with product management within the Buyer Experience org to help shape Etsy’s buyer strategy and vision.
2+ years of experience as a data scientist or analyst during which you extracted insights from large datasets
Experience in an e-Commerce setting is a plus
Mastery of SQL, and experience with R/Python and other scripting/automation techniques
Conduct analysis on our buyers’ behavior, helping us better optimize the features they need to complete and continue their purchase journey
Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment results
Data Scientist, Analytics At Scale
By Eli Lilly and Company At Greater Indianapolis, United States
Strong leadership and project management skills.
Manage and prioritize multiple projects simultaneously
Experience with machine learning algorithms and statistical modeling
Strong problem-solving and analytical skills
Excellent communication and presentation skills
Years of experience in a data science role
Data Scientist, Analytics At Scale
By Eli Lilly and Company At Indianapolis, IN, United States
Strong leadership and project management skills.
Manage and prioritize multiple projects simultaneously
Experience with machine learning algorithms and statistical modeling
Strong problem-solving and analytical skills
Excellent communication and presentation skills
2+ years of experience in a data science role
Data Scientist, Decision Analytics & Optimization
By BioSpace At Indianapolis, IN, United States
Have experience with finance, commercial, and ethics applications, simulation, and/or modeling complex systems.
Proven experience producing computationally efficient software to meet real-time requirements.
Solve complex business and healthcare problems with advanced analytics and AI/ML methods, particularly in finance.
Bachelor’s in Statistics, Operations Research, Physics, Computer Science, Engineering or quantitative related field with five years of hands-on data science experience
Strong written and verbal communication skills
Experience with Advanced Analytics and AI/ML in cloud environments (e.g. AWS)
Data Scientist, Enterprise Analytics
By IGS Energy At Ohio, United States
Work closely with stakeholders, end-users, and business analysts to understand requirements and scope project
Comprehensive healthcare benefits including medical, dental, vision, and employer health savings account contributions
And more, such as paid time off, flexible spending, employer paid life and disability, employee assistance program, and domestic partner benefits
Analyze various data to understand relationships, integrity and how data can be leveraged
Maintain and develop quality standards for data assets within pipeline
Proactively partner and field requests from business partners for prospective, in-flight, and future ML pipelines
Research Data Scientist - Supply Chain Analytics
By Ford Motor Company At , Dearborn, 48124, Mi
5 years of experience doing research, analysis, data science or solution development
Excellent written and verbal communication skills and strong intellectual curiosity
Experience in the automotive industry
This is a hybrid position; however, we will consider exceptional Remote candidates.
The minimum requirements we seek:
For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2023-benefits-and-comp-GSR-sal-plan-2.pdf
Data Scientist - Supply Chain Analytics
By Ford Motor Company At , Dearborn, Mi
Experience using SQL to extract, clean, and transform data in large, complex, nested databases
Experience using programming languages such as Python or R in a cloud platform
Experience doing research, analysis, data science or solution development
Excellent written and verbal communication skills and strong intellectual curiosity
Experience in statistical analysis and modeling
Experience in the automotive industry

Are you looking for an exciting opportunity to use your data science skills to help protect organizations from cyber threats? We are looking for a Threat Analytics Data Scientist to join our team and help us develop cutting-edge analytics solutions to detect and respond to cyber threats. You will have the opportunity to work with a wide range of data sources, develop innovative analytics models, and collaborate with a team of experts to ensure our clients are secure. If you are passionate about data science and cyber security, this is the job for you!

Overview Threat Analytics Data Scientist is a professional responsible for analyzing data to identify potential threats and vulnerabilities. They use data science techniques to develop models and algorithms to detect malicious activities, identify potential threats, and develop strategies to mitigate them. Detailed Job Description A Threat Analytics Data Scientist is responsible for analyzing data to identify potential threats and vulnerabilities. They use data science techniques to develop models and algorithms to detect malicious activities, identify potential threats, and develop strategies to mitigate them. They also work with other security professionals to develop strategies to protect the organization’s data and systems. Job Skills Required
• Knowledge of data science techniques and algorithms
• Knowledge of security principles and best practices
• Ability to analyze large datasets
• Ability to identify patterns and trends in data
• Ability to develop models and algorithms to detect malicious activities
• Ability to communicate effectively with stakeholders
• Ability to work independently and as part of a team
Job Qualifications
• Bachelor’s degree in computer science, information technology, or a related field
• Experience with data analysis and data science techniques
• Knowledge of security principles and best practices
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of machine learning algorithms
• Knowledge of cloud computing platforms
Job Knowledge
• Knowledge of data science techniques and algorithms
• Knowledge of security principles and best practices
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of machine learning algorithms
• Knowledge of cloud computing platforms
Job Experience
• Experience with data analysis and data science techniques
• Experience with security principles and best practices
• Experience with programming languages such as Python, R, and SQL
• Experience with machine learning algorithms
• Experience with cloud computing platforms
Job Responsibilities
• Analyze data to identify potential threats and vulnerabilities
• Develop models and algorithms to detect malicious activities
• Develop strategies to protect the organization’s data and systems
• Work with other security professionals to develop strategies to mitigate threats
• Monitor security systems and respond to security incidents
• Communicate effectively with stakeholders