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Analytics Scientist I 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 & 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 - 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
Business Analytics I (Usa)
By KellyOCG At United States
Perform KPI analysis and present metric results to the global clinical supplies management team
APICs certification or Supply Chain knowledge (JDE, SAP, etc.) is preferred
Develop metrics via Excel models to analyze resource allocations and forecasts for use by managers within the department
Bachelor's degree with 3-5 years of relevant experience
Experience in clinical development and/or clinical supplies
Prior supply chain, logistics, or operations knowledge
Chemoinformatics Scientist I Jobs
By Enveda Biosciences At United States
Experience with modern data modeling and mining libraries and toolkits for Python (NumPy, SciPy, scikit-learn, pandas) or R (Bioconductor, ggplot)
Experience in generating data analytics and visualizations (Spotfire, Python dash, R Shiny, or equivalent)
Experience with database design and processing (SQL/NoSQL, RestAPI, XML, json)
Outstanding teamwork and communication skills
Hiring Manager Interview (45 minutes
Developing new data analysis and visualization tools

Are you looking for an exciting opportunity to use your analytical skills to make an impact? We are looking for an Analytics Scientist I to join our team and help us develop innovative solutions to complex problems. You will be responsible for analyzing data, developing predictive models, and creating reports to help us make better decisions. If you are passionate about data and analytics and want to make a difference, this is the job for you!

Overview Analytics Scientist I is a professional who specializes in the analysis of data to provide insights and solutions to business problems. They use a variety of techniques, including statistical analysis, machine learning, and data mining, to uncover patterns and trends in data. They are responsible for developing and implementing data-driven strategies to improve business performance. Detailed Job Description Analytics Scientist I is responsible for developing and implementing data-driven strategies to improve business performance. They analyze data to identify patterns and trends, and develop predictive models to forecast future outcomes. They use a variety of techniques, including statistical analysis, machine learning, and data mining, to uncover insights from data. They also develop and maintain data pipelines to ensure data accuracy and integrity. Additionally, they collaborate with other departments to ensure that data-driven solutions are implemented effectively. Job Skills Required
• Strong analytical and problem-solving skills
• Knowledge of data analysis techniques and tools
• Knowledge of machine learning and data mining
• Knowledge of statistical analysis
• Knowledge of data visualization techniques
• Ability to interpret and communicate data insights
• Ability to work independently and in a team environment
• Ability to manage multiple projects simultaneously
Job Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field
• Experience with data analysis, machine learning, and data mining
• Experience with statistical analysis and data visualization
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data management systems such as Hadoop and Spark
• Excellent written and verbal communication skills
Job Knowledge
• Knowledge of data analysis techniques and tools
• Knowledge of machine learning and data mining
• Knowledge of statistical analysis
• Knowledge of data visualization techniques
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data management systems such as Hadoop and Spark
Job Experience
• Experience with data analysis, machine learning, and data mining
• Experience with statistical analysis and data visualization
• Experience with data management systems such as Hadoop and Spark
• Experience with programming languages such as Python, R, and SQL
Job Responsibilities
• Develop and implement data-driven strategies to improve business performance
• Analyze data to identify patterns and trends
• Develop predictive models to forecast future outcomes
• Use a variety of techniques, including statistical analysis, machine learning,