Tilastollinen mallinnus Jobs

I have a CSV file containing several thousand input-output pairs and I’m looking for a fresh analytical perspective on whether any meaningful statistical pattern exists in the data. The dataset is purely numerical and abstract, so it can be approached using any appropriate mathematical or statistical techniques such as correlation analysis, transformations, dimensionality reduction, information-theoretic measures, or other exploratory methods. What matters most is evidence. I would like to determine first whether the outputs can be reliably modelled from the inputs, and second, what kind of mathematical structure might explain any observed relationship. If a reproducible pattern emerges, the goal would be to characterize it and assess how well it generalizes to unseen rows. If the d...

Overview We are hiring 3 experienced Data Scientists to participate in a structured data challenge as part of a paid engagement. This is not a generic Kaggle-style competition. You will be exploring an AI-native data platform, analyzing real-world event data, and submitting a structured, reproducible project. If selected, you’ll be compensated for your participation and submission. What You’ll Be Doing Explore a new AI-powered data workspace Analyze user behavior/event data Define your own success metrics Build insights using statistical/ML techniques Submit: A complete reproducible data project A written summary explaining methodology and findings A public project link You will be working individually. Ideal Candidate We’re looking for someone who: Has basic under...

I need an experienced EViews user to run an ARDL model that will let me formally test a clearly-defined hypothesis on a set of financial variables. The data are already collected in raw Excel sheets; what I’m missing is the best-practice workflow that takes those figures from rough form to a defendable econometric result. Here’s what I expect the engagement to cover: • Initial guidance on cleaning and transforming the raw series (log/level choices, missing values, outlier checks). • Stationarity diagnostics, optimal lag selection and the full bounds-test procedure inside EViews. • Estimation and interpretation of the long-run and short-run coefficients that speak directly to the hypothesis. • Delivery of the EViews workfile together with a brief write...

Senior Data Scientist / Lead Search Engineer for Local Algorithmic Optimization (Ukraine) Senior Data Scientist / Lead Search Engineer for Local Algorithmic Optimization (Ukraine) Job Description I am looking for a high-level Data Scientist or Computer Engineer to lead a technical SEO project focused on Google Maps optimization for the Ukrainian market. This role requires an expert capable of performing deep algorithmic analysis and building custom automation tools. Core Objectives Algorithm Reverse-Engineering: Identify specific ranking correlations within the Google Maps ecosystem using statistical modeling. Geospatial Data Analysis: Map and optimize business visibility radiuses across various Ukrainian regions. Automation Development: Build and maintain Python-based scripts for da...

1. IMPLAN Model Setup & Execution The consultant will: Use the most current IMPLAN dataset for Prince George’s County, MD Confirm alignment with the County’s recently released IMPLAN-based analysis methodology Select appropriate NAICS codes aligned with: Motion Picture & Video Production Post-Production Services Sound Recording Creative Technology Services Studio / Production Facility Operations Construction & Build-Out (capital phase) Input project-specific data including: Capital expenditures (construction, build-out, equipment) Annual operating budget projections Projected payroll and employment levels Vendor and supply chain assumptions (if applicable) Run IMPLAN modeling to calculate: Direct impact Indirect ...