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# Data Scientist ( 3+ years Exp)

- **Company:** TIKET2RYDE/TRANZ. LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Artificial Neural Networks, Big Data, Cluster Analysis, Computer Programming, R (Programming Language), Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, SQL Databases, Support Vector Machine, Random Forest, Deep Learning, Model Validation, Information Technology, Data Pipelines
- **Published:** July 29, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8bllm1mb6

## About the Role

* Minimum 3 years of hands-on experience in data analysis and machine learning, ideally in a product-driven or business-focused environment.
 * A Bachelor in Computer Science, Statistics, Mathematics, or another quantitative field.
 * Strong problem solving skills with an emphasis on product development.
 * Proficient in programming skills (R, Python, SQL, etc.) for data acquisition, processing and analysis from large data sets.
 * Knowledge of data science concepts (regression, classification, clustering, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
 * Knowledge of a variety of machine learning techniques (Random forest, SVM, artificial neural networks, etc.) and their real-world advantages/drawbacks.
 * Excellent written and verbal communication skills for coordinating across teams.
 * A drive to learn and master new technologies and techniques.

## Description

* Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
 * Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
 * Design, build, and validate robust data models and machine learning/ deep learning algorithms to improve customer experience, optimize revenue, refine targeting, and support smarter decision making across the organization.
 * Plan, monitor, and evaluate A/B tests and other experimentation activities for ML models, including test design, success metrics, and model performance assessment.
 * Collaborate closely with machine learning engineers, and other stakeholders to productionize models, build scalable data pipelines, and ensure reliable deployment and monitoring of ML solutions.
 * Implement processes, dashboards, and tools to monitor data quality, model performance, and business impact, and iterate on solutions based on findings.
 * Communicate insights, trade-offs, and recommendations clearly to both technical and non-technical audiences through reports, visualizations, and presentations.


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