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Threat Analytics Data Scientist Jobs in Arkansas

Data Scientist (Energy Analytics)
By SB Energy At United States
The candidate needs to have experience in supporting energy bidding and offer optimization, congestion management, and/or commercial decision-making.
Bachelor's Degree in a quantitative discipline (e.g., Electrical and Computer Engineering, Computer Science, Finance, Statistics, Economics, Math, or related field).
5+years of working experience in energy and power Markets required with experience in CAISO and ERCOT a plus.
Experienced individual with expertise in multivariate time series forecasting, stochastic optimization, and Monte Carlo simulations.
Competitive Retirement Benefits with 401(k) company match
Thoughtful Hybrid Workplace Set-up Benefits
Data Scientist, Clinical Analytics
By Spring Health At United States
Access to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management.
Experience with data visualization tools (e.g., Looker, Sisense) to create insightful and actionable dashboards and reports tailored to business needs
This may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact
Change is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows
You will experience transparency, integrity, & humility from leadership
Benefits Provided By Spring Health
Data Scientist & Analytics Strategist
By NeuroRPM Inc. At Washington DC-Baltimore Area, United States
Data infrastructure design, optimization, and management.
Basic Technical Skills & Qualifications:
Software design and development experience.
Experience in manipulating big datasets.
Experience implementing machine learning models (e.g., random forest, CNN, SVM).
Develop and implement statistical and machine learning models to efficiently utilize sensor data for medical applications.
Data Scientist, Product Analytics And Experimentation
By Yahoo At United States
Design and lead time-sensitive strategic research projects involving methodology development, analysis, strategic recommendations, and presentation of findings to Senior Management
Frame business problems into questions that can be answered through data analysis, and translate business needs into requirements
Experience with statistical programming languages such as Python or R
Experience with big data technologies such as Hive, Hadoop, MapReduce, Spark, etc.
Machine Learning skills, including cluster analysis, neural networks, predictive modeling
Significant experience, proficiency in, and passion for Mobile and/or Web products
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, 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 - 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- 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

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