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Quality 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
Analyst, Risk & Quality Analytics
By Evolent Health At United States
Healthcare experience in a payer or provider setting, or educational equivalent in addition to the degree requirements stated above.
Continue to prioritize the employee experience and achieved a 90% overall engagement score on our employee survey in May 2022.
Bachelor’s degree or equivalent experience
2-5 years of experience with either SQL, SAS, R, Microsoft Excel (advanced), Microsoft Access (advanced), GIS, or other programming language.
We continue to grow year over year.
Recognized as a leader in driving important diversity, equity, and inclusion (DE&I) efforts.
Quality Analytics Specialist Jobs
By OPUSING LLC At United States
Understanding of industry requirements/expectations of a Quality Management System
Current knowledge of industry trends and best practices- for progressive quality management in a regulated environment
Quality Management Systems (Veeva preferred)
Support the active management of metrics program and Quality data analytics activities.
Strong data visualization skills and experience with relevant tools including MS office suite
REQUIRED KNOWLEDGE, SKILLS, AND COMPETENCIES

Are you a data scientist looking for an exciting opportunity to use your skills to make an impact? We are looking for a Quality Analytics Data Scientist to join our team and help us uncover insights from our data to improve our products and services. You will be responsible for developing and deploying predictive models, analyzing data to identify trends and patterns, and creating visualizations to communicate results. If you are passionate about data and have a knack for problem-solving, this could be the perfect job for you!

Overview Quality Analytics Data Scientist is a professional who is responsible for developing and implementing data-driven solutions to improve the quality of data and analytics. They use their expertise in data science, analytics, and machine learning to identify and address data quality issues. They also develop and maintain data-driven models to improve the accuracy and reliability of data and analytics. Detailed Job Description Quality Analytics Data Scientists are responsible for developing and implementing data-driven solutions to improve the quality of data and analytics. They use their expertise in data science, analytics, and machine learning to identify and address data quality issues. They also develop and maintain data-driven models to improve the accuracy and reliability of data and analytics. They analyze data to identify patterns, trends, and correlations, and develop predictive models to forecast future outcomes. They also develop and maintain data-driven dashboards and reports to monitor data quality and analytics performance. Job Skills Required
• Expertise in data science, analytics, and machine learning
• Knowledge of data quality and analytics best practices
• Ability to analyze data to identify patterns, trends, and correlations
• Ability to develop predictive models to forecast future outcomes
• Ability to develop and maintain data-driven dashboards and reports
• Ability to communicate effectively with stakeholders
• Ability to work independently and collaboratively
Job Qualifications
• Bachelor’s degree in computer science, mathematics, statistics, or a related field
• 5+ years of experience in data science, analytics, and/or machine learning
• Proficiency in programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
• Knowledge of data quality and analytics best practices
• Knowledge of machine learning algorithms and techniques
Job Knowledge
• Knowledge of data science, analytics, and machine learning
• Knowledge of data quality and analytics best practices
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
• Knowledge of machine learning algorithms and techniques
Job Experience
• 5+ years of experience in data science, analytics, and/or machine learning
• Experience developing and implementing data-driven solutions
• Experience analyzing data to identify patterns, trends, and correlations
• Experience developing predictive models to forecast future outcomes
• Experience developing and maintaining data-driven dashboards and reports
Job Responsibilities