Data Modeling Jobs

We are urgently developing a comprehensive marketing analytics tool designed to integrate data from various advertising platforms, website activity, CRM, and Marketing Automation Platforms (MAP) to provide a unified view of marketing performance. We require a highly skilled and efficient Data Engineer or Architect who can handle data export processes, model and create tables and entity relationships, and develop an efficient and scalable database within a tight one-month deadline. ### Responsibilities: - Data Integration: connect and streamline data from multiple sources including ad platforms (like Google Ads, Facebook), website analytics tools (e.g., Google Analytics), CRM systems (e.g., Salesforce), and MAPs (e.g., HubSpot). - **Accelerated Database Design:** Design and implement a rob...

I am looking for a talented developer to create an AI Resume builder that can support multiple formats and boasts several features. Specifications: - The program should support PDF and Word file formats. - The AI technology should be able to provide several functions: Selecting templates, generating content, and optimizing keywords. - The design of the generated resume should exude a creative flair. Ideal Candidate: - Strong knowledge in Artificial Intelligence. - Proven skills in software development, particularly in building tools with creative designs. - Experience with resume building is a big plus! Together we can empower individuals to create eye-catching resumes that stand out. Let's give job hunters the creative edge they need in their job search!

For an upcoming project, I am seeking an experienced Data Scientist who is particularly adept in R studio. The project involves approximately 3.5 million entries from an accounting firm's datasets and should follow the CRISP-DM framework. Responsibilities: - Data cleaning and preprocessing: Ensuring data is correctly formatted and that outliers, missing values, or inaccuracies are dealt with. - Exploratory data analysis: Extracting insights from the datasets, visualizing trends and discovering correlations. - Model development and evaluation: Carrying out predictive modeling and anomaly detection. Specifically, identifying potential financial transaction anomalies. More about the project: The goal is not predefined and can range from predictive modeling to anomaly detection based ...