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Associate 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.
Associate Business Data Scientist
By Kinaxis At United States
Hands-on experience with relational databases (e.g. Oracle, MySQL, MS Sql Server, PostgreSQL), BI/data analysis. Working knowledge of distributed computing techniques.
Develop cutting edge expertise in Kinaxis’ AI/ML capabilities to translate customer’s business needs into actionable insights that can drive business improvements.
Evaluate and measure models’ outputs to ensure client requirements are met and drive continuous value.
Conceptual knowledge of AI/ML techniques and eager to learn and adopt new approaches and methodologies.
Working knowledge of ML stack such as Kubernetes, Project Jupyter, Kafka and workflow engines etc.
Excellent interpersonal, presentation and client relationship building and facilitation skills (meeting sessions, conflict resolutions, brainstorming etc.)
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 Associate Jobs
By CLA (CliftonLarsonAllen) At United States
Flexible PTO (designed to offer flexible time away for you!)
Equal Opportunity Employer /AA Employer/Minorities/Women/Protected Veterans/Individuals with Disabilities.
To view a complete list of benefits click
Bachelor’s degree in a field of Statistics, Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science).
Up to 12 weeks paid parental leave
CLA is dedicated to building a
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 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