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# Senior Data Scientist

- **Company:** TitanSoft LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, Fraud Prevention and Detection, Information Sciences, Python (Programming Language), Machine Learning, Cloud Services, SQL Databases, Scripting, Google Cloud, Cloud Platform System, Information Technology, Programming Languages
- **Published:** August 15, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8vkiut7d

## About the Role

* Minimum Master's degree in related disciplines (e.g. Statistics, Computer Science, Information Science, Mathematics, Physics and Operations Research)
 * At least 3 years relevant experience working with statistical software (e.g. Python), Cloud platform (e.g. GCP) and scripting languages (e.g. Python), * Real-world experience, especially in areas like big data, application of machine learning techniques (clustering, classification, etc.) and cloud service (Google Cloud Platform)
 * Involvement in end-to-end product development
 * Cooperating with multiple roles. (eg. Data Engineer, Software Engineer etc.)
 * Applying new tech or method into data product
 * Leading a data science product/project, * Knowledge of Statistical model or machine learning model
 * Proficiency in Python (must), SQL or other programming languages
 * Ability to draw conclusions from data and recommend actions
 * Ability to translate analysis results into business recommendations and insights
 * Strong problem-solving skills
 * Ability to present the insights clearly to the technical and non-technical audiences
 * Strong written, verbal communication and presentations skills for coordinating across teams and with stakeholders

## Description

What a Senior Data Scientist does in Titansoft

 * Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives
 * Coordinate with different feature teams to research and develop methods or models and design proper performance evaluation metrics to measure the product quality
 * Research new algorithms and methods for driving optimization and improving product quality and returns.
 * Research new ways for modelling end-user behaviours
 * Lead investigations into multiple streams of product quality data. Identify, understand and solve business problems based on the company's overall targets and design experiments to answer targeted questions
 * Perform tasks assigned by direct supervisor


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