Data Analyst / Data Scientist

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🕒 December 30, 2025

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CoalDev

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2007

🔌 API

🤖 Artificial Intelligence

☁️ SaaS

API • Artificial Intelligence • SaaS

CoalDev is a customer-centric information technology company that offers comprehensive, cost-effective, and efficient software solutions. Specializing in data science, custom software development, cloud services, and blockchain technology, CoalDev is dedicated to tailoring solutions to meet the specific needs of its clients. With a focus on quality and innovation, the company collaborates closely with clients to enhance their projects and integrate advanced technologies such as artificial intelligence and generative AI into applications. Their services also include resource augmentation for software development, ensuring effective outcomes for a variety of technical challenges.

📋 Description

• Ensure that data flows smoothly from source to destination so that it can be processed • Utilize strong database skills to work with large, complex data sets to extract insights • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure • Build tools for automating repetitive asks so that bandwidth can be freed for analytics • Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions • Work closely with top management to prioritize information and analytic needs

🎯 Requirements

• Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 1-3 years. • Ability to program in any high level language is required. • Familiarity with R and statistical packages are preferred. • Proven problem solving and debugging skills. • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. • Work experience with real data for customer insights, business and market analysis will be advantageous. • Experience with text analytics, data mining and social media analytics. • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.