Manage, maintain, and secure database systems to ensure high performance and availability. Oversee installation, configuration, and upgrading of database server software and related products. Evaluate database features and provide recommendations for..

US based company in need of a research assistant to: Identify Associations & Publications by Industry, Region and other research criteria to be provided upon interview. This project is estimated at 15-20 hours. Research Assistant criteria: Must be a thorough researcher with experience in creatively and thoroughly researching and finding all available information to complete this project. Must NOT lean only on Google searches to complete this project. Additional research projects may be available based on proficiency, timeliness, and overall quality of the results of this project.

I am looking for someone that can pull the data for home construction for specific cities in Arizona. the parameters are homes built 15-25 years ago. I want the address of the home, the year built, and contact information for the current owner.

We are seeking a talented Junior Python Data Scientist to join our team. The ideal candidate should have a strong foundation in Python programming and a passion for data analysis. You will be responsible for developing and implementing data models, conducting statistical analysis, and designing data visualizations. The ability to work with large datasets and knowledge of machine learning techniques are essential. The successful candidate will have excellent problem-solving skills and the ability to work independently. Strong communication skills are also important, as you will be collaborating with cross-functional teams and presenting findings to non-technical stakeholders. Relevant skills: - Python programming - Data analysis - Statistical analysis - Data modeling - Data visualization - Machine learning - Problem-solving - Communication

We are seeking a skilled Python Data Scientist to join our team. The ideal candidate should have a strong background in Python programming and a deep understanding of data science principles. The primary responsibility will be to use Python to analyze large datasets, create models, and develop algorithms. The successful candidate should be able to use their analytical skills to provide insights and recommendations based on the data analysis. Strong communication and problem-solving skills are also required to effectively communicate complex findings to non-technical stakeholders. Skills required: - Proficiency in Python programming - Data cleaning and preprocessing - Statistical analysis - Machine learning algorithms - Data visualization

need a researcher to go to G2.com and build lists by software companies in various categories. I will show them which ones a zoom meeting. I want them to create lists of all these companies and export them or copy paste to my apollo account

I need someone who can assemble a large dataset of podcast-related data. I need multiple variables that should be publicly available, but it will require someone able to scrape data at scale through APIs or other means. I am hoping for the following variables from a large sample of podcasts: podcast name, genre, number of episodes, rating, number of streams, number of hosts, host gender, and any other readily available information. The most difficult part of the project I anticipate is that I need a short audio sample of each host's voice, analyzed using OpenSmile in Python. 1. Obtaining podcast names + ratings. Write a python script that can, given the name of a podcast, either pull popularity metrics from Rephonic or scape usage statistics from Castbox and/or Podcast Addict. 2. Extract audio data and isolate host voice. Write a python script that can, given the name of a podcast, find that podcast via the itunes API, extract useful podcast metadata fields, and download podcast audio. 3. Create a python script to isolate the podcast host's voice without supervision by identifying speakers within an episode and segment audio into "distinct" audio segments. We would likely need audio processing to extract MFCCs of each segment and then cluster segments within an episode to find individual speakers and compute cluster centroid to identify "vocal signature" of a speaker. Clustering speakers across episodes should help find which vocal signatures are frequently, and cluster(s) with majority of data points should correspond to the voice of the host. 4. Using the OpenSmile package in Python, analyze the audio of each host(s) voice.

I'm looking for someone to pull data like listed below from various economic micro data and other data sets that are far too large and complex for me to pull. - Layoffs by age in 2023 and 2024. - % of workers doing independent work in the 80s and 90s vs. today. - Was the bump in part time work in the 90s sustained? What industries were the part-time jobs? - % of self-employed workers over time. By age and education. (is this included in the unincorporated definition by BLS)? - Wages growth by generation at the same ages. I'll provide a list of all the data I'm looking to access. I'll need most of this turned into graphs so I can analyze it. I would like you to make sure I understand where the data is coming from and how you pulled it. As well as how it can be easily double checked. I may need a few tweaks to the data that is pulled and how it is graphed and would like to keep the conversation open during our engagement. I have a deadline of next Friday for most of the data.

Need list of businesses in the Los Angeles South Bay area to market to. Need excel format.

Need you to research specific federal IRS form links and their attached schedules. In addition need your help to research specific jurisdictions, PDF forms, and their attached schedules. We will have you do a test as an initial hire that will be paid to make sure that you can follow the directions and perform the task before we give you multiple forms and jurisdictions to complete.