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Threat Analytics Data Scientist Jobs

Data Scientist, Marketing Analytics
By PayPal At New York, NY, United States
You are familiar with data science and machine learning techniques to improve product experiences
Strong problem-solving skills as this is an individual contributor role.
Partner with marketing and analytics teams to understand business requirements, analyze performance and provide actionable insights
Excellent knowledge of SQL. Knowledge of either Python or R.
Excellent knowledge of Statistics, Experimentation, Test Design Setup, Measurement and A/B Testing.
Minimum of 3 years of analytics experience
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.
Healthcare Data Scientist - Analytics
By University of Maryland Medical System At Linthicum Heights, MD, United States
Manage projects to meet organizational goals.
3+ years of industry experience in the following:
Data Science and Analytics, complex Data Analysis using statistical and mathematical methods, consulting services, advanced analytics visualization, and quantitative interpretative skills.
Practical experience performing advanced statistical analysis.
Working and interacting with business stakeholders to gather requirements to deliver solutions that are impactful, accurate and validated.
Support analytic efforts designed around the organization’s strategic priorities and clinical/business problems.
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
Senior Data Scientist - Analytics
By eBay At New York, NY, United States
Proactive collaboration and effective communication skills
Deep dive into eBay Advertising & Recommendation mechanism and generate impactful insights
Build a simulation model to gauge the impact of a given change to the eBay ecosystem
Consistent turning insights into implementable product growth opportunities
Evaluate the performance and growing opportunity of online experiments (A/B tests)
Opportunity assessment for initiatives on product roadmap and provide guidance accordingly
Data Scientist, Marketing Analytics
By Etsy At Brooklyn, NY, United States
Experience with Looker, Tableau, or other data visualization software a plus
Develop, implement, and refine core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentation
Continually evaluate and refine your technical toolkit, sharing what you learn with the team
Proven ability to communicate your insights verbally, visually, and in writing with teammates and business partners
Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work
Strong, independent, analytical problem solver who enjoys thinking about and solving complex and nuanced problems
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 - Commercial Analytics
By MGM Resorts International At Nevada, United States
Collaborates with analysts and engineers to specify data requirements. Performs data collection, mining, pre‐processing, normalization, and feature engineering.
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, Economics, or a STEM-related field; or equivalent experience.
1 + years of prior relevant Data Science experience.
Expert level skills in at least 3 areas: Forecasting, Rec engine, statistics and optimization, machine learning, and/or Markov and graph theory.
Hands‐on expert-level skills in Python, SQL, and Spark.
Mastery level AI/ML modeling expertise in at least 3 areas: Personalization, Marketing, Customer Experience, Customer Analytics, and/or Venue Analytics.
Data Scientist- Business Banking Analytics
By Citizens At Columbus, OH, United States
Manage and analyze call disposition data to optimize lead selection and assess performance
Bachelor’s or Master’s in a quantitative discipline such as Statistics, Computer Science, Data Science/Analytics, Mathematics, Economics, Finance or related fields
Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SAS, SQL, R, Python, etc.)
0-5 years of experience in Analytics or Computer Science/Programming, particularly with Financial Services application
Generate and deliver sales leads to drive customer deepening and portfolio growth
Maintain production programs to consistently deliver sales leads to colleagues across the bank per the schedule required (daily, weekly, biweekly, intra-day)
Data Scientist, Product Analytics
By Ontra At United States
Intermediate scripting: Experience using a scripting language (python, R, etc.) to perform analytical work, building toward python expertise
Effective communication: Excellent communication and problem solving skills and ability to effectively collaborate with functional leadership across the organization
Inform strategy: Collaborate with product and business leaders to develop metrics and dashboards that support company objectives and key results (OKRs)
Serve as a subject-matter expert: Provide guidance both to stakeholders on how to use data in decision making
Detail-oriented mindset: A strong attention to detail and a well-reasoned sense of skepticism toward the results of analyses
Opportunity to participate in Ontra’s unit-based compensation program
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
Data Scientist - Pricing & Analytics, Fintech
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
Experience with data visualization tools (Tableau, Amplitude, Big Query)
Initiate, develop, and maintain data pipelines that power our decision making
Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them
Data Scientist - Data Analytics
By Datum Technologies Group At Atlanta, GA, United States
Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or equivalent combination of education and experience.
Master's degree in Operations Research, Industrial Engineering, Computer Science, Data Science, Statistics, Mathematics, or equivalent combination of education and experience.
Experience in leading data science, predictive modeling, or advanced analytics projects.
Advanced knowledge of Microsoft Excel, Word and PowerPoint are required.
Knowledge of Client or other operational and/or learning processes.
Help develop and implement analytics solutions to disseminate data and analysis to reduce risk and enhance operational and people focused capabilities
Data Scientist - Center For Health Data Science & Analytics
By Houston Methodist At Houston, TX, United States
o Four years of experience in data analytics and/or database management in a healthcare organization
Additional Information: Priority given to those applicants with prior experience as a statistician,
knowledge of statistical modeling, working with large public data sets, and working in a healthcare setting.
Manages the continuous improvement of clinical, research, and operational data and analytics. (EF)
Assumes responsibility for self-growth and development by participating in in-service programs and continuing education. (EF)
Maintains client relationships as assigned and leads the delivery of innovative strategies and solutions. (EF)
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.
Data Scientist, Analytics & Insights
By LG Electronics North America At Englewood Cliffs, NJ, United States
Support Ad hoc data analysis requirements as needed
Some experience with AWS, Azure or GCP required. Experience with Google Marketing platforms and GCP preferred (Big Query and BQML)
Experience working with GA360 log level data a plus
Design and deliver data-driven insights and automation for marketing (using statistics, data mining, machine learning, and deep learning techniques as applicable)
Work with various client marketing teams to understand their challenges and create solutions
Be a thought leader for your team on projects and about leading technologies
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
Associate Data Scientist - Inventory Management And Research Analytics
By Caterpillar At , Morton, Il
Knowledge of basic statistical approaches and/or data management techniques
Statistical modeling and analysis of dealer parts demand & inventory management
Execution and analysis of inventory management simulations
Building familiarity with PIC system functionality and dealer service parts management practices
Job Duties/Responsibilities may include, but are not limited to:
Experience with analytical and statistical modeling and analysis tools like R or Python
Data Scientist, People Analytics
By Virgin Galactic At , Tustin, 92782, Ca
6 – 7 years of experience in an analytics role
4 years of related experience in Human Resources is preferred
Advanced knowledge with Excel; Proficiency in SQL, R, Python, Tableau, PowerBI
Experience in building self-service dashboards
A team player, with excellent interpersonal and communication skills and a strong sense of attention to detail
Excellent storytelling skills, coupled with business acumen with the ability to understand and know your audience

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