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Lead Data Analytics and Engineering 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 & 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
(100% Remote) Lead Data And Analytics
By LVMH Moët Hennessy Louis Vuitton Inc. Co. At United States
Master’s degree in business or Computer Science in a top school, or equivalent working experience.
3+ years of Experience working in the field of Data & Artificial Intelligence, preferably in a retail or fashion company.
Coordinate the deployment of local use cases with maisons including use case framing, implementation support, and performance measurement.
Explain complex things with simple words, without ever missing the big picture.
Influence stakeholders to deliver concrete data-driven results and value.
Communicate tough choices, and take the time to explain the “why” behind.
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.
Lead Data Scientist Jobs
By Evans Denham LTD At United States
Knowledge of data management and visualization techniques
Manage a team of data scientists, machine learning engineers and big data specialists
Proven experience as a Data Scientist or similar role
Good knowledge of R, Python and MATLAB
Experience with SQL and NoSQL databases
Strong organizational and leadership skills
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
Lead Instructor For Data Analytics
By Masterschool At United States
2+ years of experience as a Data Analytics Instructor (Bootcamp or University).
2+ years of industry experience as a Data Analyst or equivalent.
Proven experience in creating a complete unit/course from scratch.
Developing and delivering high-quality live classes in data analytics.
Creating and curating engaging self-learning content, including videos, practices, competitions, and more.
Designing quizzes, assessments, and projects to gauge student understanding and application of the course material.

Are you a data analytics and engineering scientist looking to make an impact? We are looking for a passionate and experienced individual to join our team and help us develop innovative solutions to complex problems. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of experts to create data-driven solutions that will drive our business forward. If you are excited by the prospect of working on challenging projects and pushing the boundaries of data science, this is the job for you!

What is Lead Data Analytics and Engineering Scientist Skill Requirements?

• Strong knowledge of data analytics, engineering, and scientific principles
• Proficiency in programming languages such as Python, R, and SQL
• Ability to analyze large datasets and draw meaningful insights
• Excellent problem-solving and communication skills
• Ability to work independently and collaboratively

What is Lead Data Analytics and Engineering Scientist Qualifications?

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
• 5+ years of experience in data analytics, engineering, and/or scientific research
• Experience with machine learning and artificial intelligence
• Experience with data visualization tools such as Tableau and Power BI

What is Lead Data Analytics and Engineering Scientist Knowledge?

• Knowledge of data mining and predictive analytics
• Knowledge of statistical analysis and modeling techniques
• Knowledge of cloud computing platforms such as AWS and Azure
• Knowledge of data security and privacy protocols

What is Lead Data Analytics and Engineering Scientist Experience?

• Experience with data engineering and ETL processes
• Experience with data warehousing and data lake architectures
• Experience with data governance and data quality management
• Experience with data analysis and reporting tools

What is Lead Data Analytics and Engineering Scientist Responsibilities?

• Develop and implement data analytics and engineering strategies
• Analyze large datasets to identify trends and patterns
• Develop predictive models and machine learning algorithms
• Design