We are seeking a skilled Statistical Programmer to join our team. As a Statistical Programmer, you will be responsible for developing and implementing statistical programming solutions for various research projects. You will collaborate with data scientists and researchers to provide statistical analysis and reporting. Strong knowledge of statistical programming languages, such as R or Python, is required. The ideal candidate should have experience in data manipulation, statistical modeling, and visualization. This role requires strong attention to detail, problem-solving skills, and the ability to work independently. Responsibilities: - Develop statistical programming solutions using R or Python - Conduct data manipulation and analysis - Create clear and concise statistical reports - Collaborate with data scientists and researchers Requirements: - Proficiency in statistical programming languages, such as R or Python - Experience in data manipulation and statistical modeling - Strong problem-solving skills - Attention to detail - Excellent communication and collaboration skills Preferred Qualifications: - Knowledge of machine learning algorithms - Familiarity with data visualization tools like Tableau or Power BI We are looking for a Statistical Programmer with a strong foundation in statistical analysis and programming. If you have the required skills and are passionate about working on challenging research projects, we would love to hear from you.

I conduct database audits for nonprofit clients analyzing data quality and hygiene and historical charitable contribution trends/metrics. I have a standard report (created in PowerPoint and sent to client in PDF) and a recommended/required data layout. I'm looking to expand this product offering by building an automated tool that can quickly and accurately run these reports (about 30-35 different reports in total), ideally through a web interface that clients could log into, upload their data, and receive a report with relatively little direct interaction. The metrics required are not particularly complex, but there are some nuances to them due to the nature of nonprofit clients and how performance is measured. Ensuring data privacy and security are of utmost concern, as is being able to confirm that no data from different clients is intermingled. I am a one-person consultancy and I am not a programmer, but do create these reports myself using Excel and csv files. A copy of the report can be provided.

We are seeking individuals with advanced expertise in AI and its application to cybersecurity, particularly focusing on neural networks, high-performance computing (HPC), and other advanced data science technologies, frameworks, models, systems, human-machine interfaces, or applications. Subject Matter Experts (SMEs) will be expected to possess extensive knowledge and experience in AI and Machine Learning (ML) technologies, coupled with an extensive background in cybersecurity. Applicants in this role will participate in a series of workshops to design hiring assessment material, such as interviews and knowledge tests that will determine the proficiency of candidates. Some of the responsibilities of the AI SMEs will include: • Attend orientation and training meetings. • Attend and contribute to content development workshops. • Participate in regular and/or ad hoc status meetings. • Formulate and draft assessment scenarios (includes desk work or “homework” outside of workshop hours). • Write assessment items relevant to scenarios and specific technical capabilities and competencies. • Complete competency coverage and difficulty ratings on assessment items. • Revise scenarios and items based on feedback. The type of technical skills that we are looking for include: • Machine Learning Expertise: Demonstrated expertise in various machine learning techniques (e.g., supervised learning, unsupervised learning, anomaly detection) for analyzing cybersecurity data to identify threats, vulnerabilities, and suspicious activities. • Data Science Proficiency: Ability to understand, clean, and prepare large datasets for AI models, including network traffic logs, threat intelligence feeds, and security incidents. • Cloud Computing Knowledge: Familiarity with cloud-based AI platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure AI for training, deploying, and managing AI models. • Security Expertise: In-depth understanding of cybersecurity principles, attack vectors, and mitigation strategies to interpret AI findings and make informed security decisions. • Programming Languages: Proficiency in Python, R, or Java for model development and data analysis, with knowledge of specific security-focused libraries being advantageous. Qualifications: • Excellent communication skills, both oral and written, required. Must be able to convey technical information effectively to diverse audiences. • Advanced degrees and/or publications in relevant fields preferred. • U.S. citizenship required. Background check is required before starting work.

I have public big data n= 645 plan to write manuscript Machine learning prediction model of health outcomes I need someone to do similar data analysis shown in the attached articles. lasso, random forest, machine learning logistic regression, Gradient boosting machine, support vector machine, ridge models, and showing the performance of each model with AUC, F1 score etc.

We are looking for a skilled Data Analyst who has experience in SQL, Python, and data visualization. The ideal candidate will have a strong understanding of databases, data modeling, and analyzing data. You will be responsible for developing metrics, statistical modeling, and providing insights to drive business decisions. The job requires strong analytical skills and the ability to work with large datasets. If you have a passion for data science and want to contribute to meaningful projects, this role is perfect for you. Skills required: - SQL - Python - Data visualization - Databases - Data modeling - Analyzing data - Metrics - Statistical modeling - Analytics - Analytical Skills - Data Science

I am looking for someone to create a code that analyzes and compares X,Y, and Z data for reproducibility and repeatability in the form of a 95% confidence ellipsoid using R code and ggplot. I would like a section of code that “extracts” data about the confidence ellipsoid so I can also analyze and compare that data. I would also like the code to have comments on what each line of code does if possible.

We are seeking a skilled Data Analytics Specialist to join our team. As a Data Analytics Specialist, you will be responsible for collecting, analyzing, and interpreting large datasets to help inform strategic business decisions. You should have a strong understanding of data analytics tools and techniques, as well as experience in data visualization and reporting. Additionally, you will need to be able to communicate complex findings to non-technical stakeholders. This role requires excellent problem-solving skills, attention to detail, and the ability to work independently. Responsibilities: - Collecting and cleaning large datasets - Analyzing data using statistical techniques - Creating data visualizations and reports - Presenting findings to stakeholders Requirements: - Proven experience in data analytics - Proficiency in data visualization tools such as Tableau or Power BI - Strong analytical and problem-solving skills - Excellent communication and presentation skills - Ability to work independently and meet deadlines

I have a decent base understanding of stats with the help of YouTube videos. My professor isn't the best and that is why I need help. He does all the class sections and my TA has a very thick accent. The final Exam is 5/17.

We are looking for a skilled Data Scientist and BI Analyst to join our team. As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting large and complex datasets to identify trends and patterns. As a BI Analyst, you will be responsible for designing and implementing reporting dashboards and visualizations to provide insights and support data-driven decision making. The ideal candidate should have a strong background in statistical analysis, data mining, and machine learning. Proficiency in programming languages such as Python or R is required. Strong analytical and problem-solving skills are a must. Skills required: - Data analysis - Statistical modeling - Data visualization - Machine learning - Python or R programming - Problem-solving This is a medium-sized project with a duration of 1 to 3 months. We are seeking an intermediate-level professional who can work independently and deliver high-quality results.

We are seeking a Junior Python Data Scientist Analyst to join our team. As a Junior Python Data Scientist Analyst, you will be responsible for analyzing and interpreting complex data sets using Python. You will work closely with our team to identify patterns, trends, and insights that will drive informed business decisions. The ideal candidate should have a strong background in statistics, data analysis, and machine learning. Responsibilities: - Perform data cleaning, transformation, and visualization using Python - Develop and implement statistical models to analyze data - Collaborate with cross-functional teams to identify data-driven solutions Requirements: - Proficiency in Python and its data analytics libraries (NumPy, Pandas, Matplotlib) - Solid understanding of statistical concepts and methodologies - Familiarity with machine learning algorithms and techniques - Excellent problem-solving and analytical skills - Strong attention to detail and ability to work independently If you are passionate about data analysis, have a strong foundation in Python, and are eager to contribute to a dynamic team, we would love to hear from you.