Data Science Jobs

I'm seeking a Deep Learning Specialist to enhance my model's prediction accuracy to 96%. The model primarily deals with image data. Key Responsibilities: - Improve the Deep Learning model's predictive capabilities on images. - Ensure the model's accuracy meets or exceeds the 96% threshold. Ideal Skills: - Profound understanding of Deep Learning methodologies. - Extensive experience with image data, particularly medical images. - Proven track record in improving model accuracy. Please provide examples of previous work that align with this project.

I need an expert in building personalized feed logic specifically for social networks. The primary purpose of this feed is to enhance social interactions. Key aspects of the project: - The algorithm should take into account users' interests, their past interactions and trending topics. - The content of the feed will primarily consist of text posts. Ideal candidates should have extensive experience in machine learning, data science, Ranking Algorithms and personalization, with a proven track record of similar work in the social networking space. Please share relevant examples from your portfolio.

I'm seeking a freelancer, expert, or scientist to develop a predictive model for allocating gas stations. The primary goal of this model is to optimize service coverage. Key Deliverables: 1. A robust statistical or machine learning model that can accurately predict the allocation of gas stations. 2. A comprehensive list of inputs or data necessary for this equation or model. Ideal Skills and Experience: - Expertise in statistical and machine learning models - Strong background in data analysis and interpretation - Experience in working with historical sales data, geographic data, and customer demographics - Ability to create and identify necessary additional data inputs for the model - Proven track record of optimizing service coverage through predictive modeling. Disclaimer: I do...

I'm seeking a skilled professional to oversee the inspection of my shoe production line. The primary task will be verifying the products for defects such as scratches, stains, and color errors prior to packing. Key responsibilities include: - Utilizing machine vision systems for defect detection - Implementing checks with stationary cameras - Identifying and flagging all types of defects The ideal candidate for this task will have extensive experience in quality control and defect detection in a production environment. Proficiency with machine vision systems and stationary cameras is crucial. Attention to detail and the ability to work under pressure are essential.

I'm looking for a data scientist or machine learning expert to help me analyze historical bid data to identify patterns. The ultimate goal is to better understand our bidding environment and improve our strategies. • Description We have bid offer books of a product. Your job, is to model the bid offer “channel” using various data. We will provide the snapshot of the bid offer on a 60 second basis (I can make it realtime or every few seconds if you need it). Your model will learn from previous history and predict the future. When certain signal arrives, your model will trigger a buy or sell order, which will buy at the market price. Subsequently your model will put the offer on the market. Your have to figure out when and at what price to put the offer to maximise t...

I am looking for a qualified researcher or developer with expertise in Reinforcement Learning (RL), The goal is to conduct a comparative study of these algorithms within the context of simulated autonomous driving using a specialized simulation environment.

eeking GIS Specialist for Spatial Analysis and Map Creation Using Interpolation Methods (2-Day Turnaround) Description: We are looking for an experienced GIS specialist to create a map using advanced spatial interpolation methods with data we have provided. The goal is to apply interpolation techniques to generate a clear, visually compelling map that helps in analyzing and interpreting spatial data. Requirements: Proven expertise in spatial analysis using GIS. Proficiency in using advanced interpolation methods, specifically Polynomial, Kriging, and Spline, with a strong understanding of selecting the most appropriate method based on data characteristics. Experience in ArcGIS or QGIS (or similar GIS software). Strong attention to detail and ability to deliver high-quality results with...

Data Engineering: Design Data Warehouse, Data Model, ELT / ETL Data pipeline. 1. Click above RawDataSet link and download 3 datasets: AUS_SubCityDistrictState_Data ,NSW_PropertyMedainValue, and NSW-Public-Schools-Master-Dataset. 2. Use Visual Studio and create SSIS package, design dataflows to extract data from AUS_SubCityDistrictState_Data, NSW_PropertyMedainValue and NSW-Public-Schools-Master-Dataset (csv), and load data into tables into your Data Warehouse, use “load_” as prefix to name all your data load tables in your Data Warehouse. 3. Follow Kimball dimensional modeling methodology, Design Snowflake Schema Model, or Star Schema Model including dimension and fact tables in Data Warehouse, use Bus Matrix and think about what dimension and fact tables you need to create. If...

I'm looking for a skilled hydrologist for a comprehensive flood risk analysis of a specific river in Delhi. The study will require the collection of new data, as there are no existing resources available. Key Aspects of the Study: - Historical Flood Data: I need the expert to investigate and analyze past flooding occurrences, their patterns and potential implications for the current situation. - Flood Prediction Models: The professional will also need to develop and use flood prediction models to forecast potential future flood events. - Impact on Nearby Communities: Finally, this study should not only focus on the river itself but also assess the potential impact of flooding on local communities. Ideal Skills and Experience: - A degree in hydrology or a related field. - Proven expe...

I'm looking for a talented data scientist to develop a new credit scoring model for me. The project will involve utilizing customer transaction data and credit history data. A hybrid approach, combining both machine learning algorithms and statistical methods, will be preferred for this task. Ideal candidates for this project should have: - Extensive experience in data science and credit scoring model development. - Proficient in both machine learning algorithms and statistical methods. - Experienced in utilizing customer transaction data and credit history data. - Excellent problem-solving skills and ability to work independently.

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