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Threat Analytics Data Scientist Jobs in New York

Data Scientist, Analytics - Ads
By Quizlet At New York, NY, United States
Experience using Google BigQuery, Switchboard, Google Ad Manager
Be embedded in a specific product pod and partner with the Ads Product Manager
Partner with the Ads Finance team to understand business metrics performance
2+ years of experience working on a programmatic or direct ads business
2+ years of experience in analytics at a consumer internet company
Advanced SQL skills, including highly developed QA skills and the ability to write efficient and optimized code
Staff Data Scientist - Research & Analytics
By Salesforce At New York, NY, United States
8+ years of professional industry experience doing quantitative analysis.
Experience in schema design, data modeling, and building data pipelines.
Experience with a broad set of statistical and machine learning methods to build descriptive and predictive models.
Experience with designing and testing experiments.
Experience with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc).
Experience with online data systems (e.g. relational databases, logging ingestion)
Data Scientist, Content Analytics Music Partnerships
By Spotify At New York, NY, United States
Craft high impact presentations for senior management on the Music Partnerships teams
Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus
2+ years (5+ years for senior role) of proven experience analyzing complex data with SQL, Python, and/or R
Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus
Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening
Data Scientist, Product Analytics
By Citizen At New York, NY, United States
At least 1-3 years professional experience in data science or analytics
Ability to self-direct, and manage cross functional stakeholders
Strong communication skills, and the ability to develop and articulate a point of view
Real-world experience with experimentation and statistical analyses
Experience with consumer products and ideally, subscription revenue models
Experience with model development, specifically practical model training and validation methods
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
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
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, 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, ...

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