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Threat Analytics Data Scientist Jobs

Data Scientist - Marketing Analytics
By MarketBridge At Washington, DC, United States
Has 2+ years of experience in data-driven consulting, market research, and data science
Has experience with integrating stimulus, response, and control data from a variety of sources including agencies, internal systems, and technology platforms
Has experience in econometric techniques, including panel data, ridge regression, and multiple functional forms as well as machine learning techniques
Has experience coding in R and/or Python, including data munging
Has experience creating reproducible deliverables (Rmarkdown, notebooks, etc.)
Experience with version control (git, github, etc.) and modern data storage (MapReduce, Spark)
Data Scientist- Supply Chain Analytics
By ACL Digital At United States
• Experience in the biotechnology industry is NOT required
**** REMOTE WEST COAST HOURS****
Responsibilities will include, but are not limited to:
• Explore and evaluate new techniques to improve the data processing capabilities.
Master’s degree and 3 years of [Job Code’s Discipline and/or Sub-Discipline] experience
Bachelor’s degree and 5 years of [Job Code’s Discipline and/or Sub-Discipline] experience
Data Scientist - Pricing & Analytics (100% Remote)
By Hopper At United States
Strong experience, knowledge of, and/or keen interest in Fintech, Insurtech, or risk-based products
Open communication with management and company leadership
Strong creative problem-solving skills and critical thinking competencies
Works backwards from adding value to the customer experience
Experience with data visualization tools (Tableau, Amplitude, Big Query)
Exceptional ability to grasp, manage, and articulate complex systems
Data Management Specialist, Behavioral Threat Assessment
By Broward County Public Schools At Miami-Fort Lauderdale Area, United States
Assist in monitoring of daily compliance with threat management data entry requirements and policy timelines.
Oversee the entry of data into the electronic management systems and ensure compliance.
Maintain data management systems and student databases for all electronic threat management databases ensuring accuracy and security of data.
Areas of Responsibility and Preferred Qualifications will include:
Analyze and maintain student data, review data with staff for compliance and quality improvement.
Prepare and present data reports, charts, graphs, presentations, and spreadsheets as required for compliance and review.
Data Scientist, Insights & Analytics
By Dollar General At Goodlettsville, TN, United States
Experience with code management tools such as Github (familiarity with CI/CD practices preferred)
Strong problem-solving skills utilizing expertise, business judgment and robust quantitative analyses
Practical experience ingesting and manipulating large volumes of data (millions of records)
Experience with retail industry or marketing and media networks is preferred
Bachelor’s in a highly quantitative/STEM field considered with the right experience.
2+ years hands-on industry (non-academic) experience in Data Science (or equivalent quantitative job title).
Data Scientist, Tooling And Analytics
By Enlitic At Fort Collins, CO, United States
Experience working under design controls and quality management systems
Remote or Fort Collins, Northern Colorado Area
Graduate degree or equivalent in a STEM field, such as Applied Mathematics, Computer Science, Physics or other related degree or experience
3+ years of industry experience with production modeling
Experience with AWS or other cloud technology
Strong teamwork, communication skills, passion, creativity, productivity & learning agility
Decision Scientist, Fraud Analytics
By Ibotta, Inc. At Denver, CO, United States
Communicate risks and requirements to cross functional teams
3+ years of experience in an analytical function (experience in fraud or risk is a plus)
Excellent interpersonal skills with the proven ability to collaborate across functional areas
Design and maintain software, dashboards and rules to identify, track, mitigate, and monitor fraud trends
Continually review fraud rules to improve efficacy
Analyze large and novel datasets to extract actionable insights to inform business decisions and understand consumer behavior
Threat Analytics Data Scientist - Associate
By Deutsche Bank At New York, NY, United States
We offer competitive health and wellness benefits, empowering you to value life in and out of the office
Experience working with both structured and unstructured data sets
Moderate work experience in the financial, compliance, or data science industry
Bachelor's degree in Computer Science, Engineering, Statistics, Technical Science, or equivalent work experience
Experience as a Data Scientist, Quantitative Analyst, or with Statistics, and in database design, ETL processes and data mining a plus
Active engagement with the local community through Deutsche Bank's specialized employee groups
Data Scientist, Product Analytics
By Gametime United, Inc. At , Remote $135,000 - $155,000 a year
2-3+ years of Data Analyst experience, ideally at a technology company
Experience with A/B testing a plus
Strong collaboration and communication skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
Some experience with Python or R
Experience with a data visualization software
Data Scientist - Insights And Analytics
By Apple At Austin, TX, United States

Summary Hardware Engineering is seeking a Data Engineer to take ownership of our data storage and processing systems. You will explore datasets to surface patterns and actionable insights, write ...

Associate Data Scientist, Decision Analytics
By Home Depot / THD At , Atlanta, 30301, Ga
Knowledge, Skills, Abilities and Competencies:
Major Tasks, Responsibilities & Key Accountabilities:
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
3+ years of experience in business intelligence and analytics
Working knowledge of Microsoft Excel and Power Point
Experience in a modern scripting language (preferably Python)
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
Data Scientist, Analytics - Trust & Safety
By TikTok At New York, NY, United States

Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, ...

Statistician/Data Scientist - Isd Analytics
By UNC Health At , Morrisville, 27560, Nc
If a Doctorate: Requires one (1) years of relevant experience
If a Master's Degree: Requires three (3) years of relevant experience
If a Bachelor's Degree: Requires five (5) years of experience
Requires prior experience with R, Python, or other analytics/data mining tools, databases, and computer programming.
Requires prior experience in developing complex solutions utilizing Business Intelligence tools.
Requires prior experience in building and deploying predictive models and other analytic assets.

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