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Associate Threat Analytics Data Scientist Jobs in California

Data Scientist, Buyer Success Analytics
By eBay At San Jose, CA, United States
E-commerce experience and customer segmentation knowledge a plus.
Strong technical skills to turn big data into concrete insights with hands-on ability in using SQL, R, Python, Tableau, etc.
Proven track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities.
Great articulation and communication skills - ability to explain complex analyses and insights into simple terms
Strong background in ecommerce product experience
Strong quantitative background with 2-3 years experience and a Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering. Master’s degrees preferred
Staff Data Scientist, Analytics
By Airwallex At San Francisco, CA, United States
7+ years industry experience and an advanced degree in a quantitative field
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
Experience in technology, financial services and/or a high growth environment is advantageous
Ability to perform statistical analysis to drive data-informed decisions
Jr. Data Scientist, Minerva Analytics
By Amazon.com Services LLC At , San Diego Up to $75.63 an hour
Currently enrolled in an accredited college or university Bachelor's degree program.
Majoring in Data Science, Computer Science, or a related STEM discipline.
Graduation date falls between December 2024 and June 2026.
Ability to work year-round: part-time during the school year and full-time during the summer.
Living within commutable distance to San Diego, CA.
Effectively articulate technical challenges and solutions.
Associate Data Scientist Jobs
By University of Southern California At Los Angeles, CA, United States
Knowledge of applied statistical concepts and techniques skills (e.g., distributions, statistical testing, regression)
Ability to provide both detailed information and summaries to management-level individuals and groups.
Utilizes analytical, statistical, and programming skills to collect, analyze, and interpret large data sets
Manage and timelines, ensuring all milestones are met
Experience using statistical computer languages (e.g., R, Python, SQL) to manipulate data and draw insights from large data sets
Experience working with and creating data models and data architecture, and using data visualization tools (e.g., Tableau, ArcGIS, D3.js)
Associate, Data & Analytics Jobs
By Palm Tree LLC At Los Angeles, CA, United States

About Palm Tree: Join an elite team of respected experts who approach the needs of M&A differently, in a demanding, yet supportive and collaborative culture. Founded in 2010, Palm Tree is the ...

Data Analytics - Associate
By Manufacturers Bank At Los Angeles, CA, United States
Knowledge of human resources management systems a plus.
Maintain Human Resource Information Management system data integrity.
Experience in Human Resources Analytics, Business/Data Analytics, or Finance preferred.
4+ years experience in Microsoft Excel and Power BI.
Must be able to manage conflicting priorities, follow up on assignments/requests, and act proactively.
Design, develop, and implement scalable reporting solutions to drive business decisions and measure success of programs and initiatives.
Data Scientist, Analytics Jobs
By Airtable At Los Angeles, CA, United States
Manage the design and analysis of experiments; develop and socialize a rigorous culture of experimentation throughout the entire company.
You have 6+ years previous experience as a data scientist, data analyst, or data engineer
You have strong knowledge of statistics and experimental design.
Partner with sales teams to help drive insights, identify opportunities, and understand behavior and long-term trends.
Take a leading role in producing new datasets that unlock business opportunities.
Play a foundational role in building a data culture at Airtable through reproducible work, improved processes, and better tooling.

Are you looking for an exciting opportunity to use your data science skills to help protect one of the world's largest companies? We are looking for a Threat Analytics Data Scientist to join our team and help us identify, analyze, and respond to potential threats. You will have the chance to work with cutting-edge technologies and develop innovative solutions to protect our company from malicious actors. If you are passionate about data science and security, this is the perfect job for you!

Overview An Associate Threat Analytics Data Scientist is a professional who is responsible for analyzing data to identify potential threats and vulnerabilities. They use data science techniques to develop models and algorithms to detect and respond to cyber threats. They also work with other security professionals to develop strategies to protect organizations from cyber threats. Detailed Job Description An Associate 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 and respond to cyber threats. They also work with other security professionals to develop strategies to protect organizations from cyber threats. They must be able to interpret data and identify patterns and trends that could indicate a potential threat. They must also be able to develop strategies to mitigate the risks associated with these threats. Job Skills Required
• Strong analytical and problem-solving skills
• Knowledge of data science techniques and algorithms
• Knowledge of cyber security threats and vulnerabilities
• Ability to interpret data and identify patterns and trends
• Ability to develop strategies to mitigate risks
• Knowledge of computer networks and systems
• Knowledge of programming languages
• Ability to work independently and in a team
Job Qualifications
• Bachelor’s degree in Computer Science, Information Technology, Cyber Security, or a related field
• Experience in data science, cyber security, or a related field
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of cyber security tools and techniques
• Ability to work independently and in a team
Job Knowledge
• Knowledge of data science techniques and algorithms
• Knowledge of cyber security threats and vulnerabilities
• Knowledge of computer networks and systems
• Knowledge of programming languages
• Knowledge of cyber security tools and techniques
Job Experience
• Experience in data science, cyber security, or a related field
• Experience working with large datasets
• Experience developing models and algorithms
• Experience developing strategies to mitigate risks
Job Responsibilities
• Analyze data to identify potential threats and vulnerabilities
• Develop models and algorithms to detect and respond to cyber threats
• Work with other security professionals to develop strategies to protect organizations from cyber threats
• Interpret data and identify patterns and trends that could indicate a potential threat
• Develop strategies to mitigate the risks associated with these threats
• Monitor and analyze cyber security threats and vulnerabilities
• Maintain up-to-date knowledge of cyber security trends and technologies