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# Senior Data Scientist

- **Company:** WYZE LABS, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Cleansing, Python (Programming Language), Machine Learning, Rapid Prototyping Process, SQL Databases, Optimization Algorithms, Machine Learning Operations, Data Pipelines
- **Published:** July 14, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p490ot9i4i

## About the Role

* Bachelor's and/or MSc/PhD degree in Engineering, Data Science, or a related quantitative discipline
 * At least 5 years of working experience in the field of data science
 * Advanced proficiency in SQL and Python, combined with strong hands-on experience in machine learning, advanced modeling techniques, and automation of data driven insights, is highly preferred.
 * Solid hands-on experience in machine learning and other advanced modeling approaches to extract and automate valuable insights from data
 * In-depth knowledge of causality and statistical inference
 * Expertise in statistical modeling and optimization techniques, with experience in time-series analysis and MLOps pipeline development being a preferred asset. Eagerness to learn new technologies and domains, a can-do attitude
 * A strong initiative to solve real-world problems and the ability to communicate effectively across diverse domains.
 * Excellent command of English both written and spoken
 * No restrictions on traveling abroad.

## Description

* Collaborate closely with cross-functional teams to understand the business challenges and formulate data-driven solutions accordingly
 * Analyze large datasets to extract meaningful patterns, valuable insights and inferences
 * Design, develop and deploy advanced analytical models to solve complex problems
 * Employ scientific approach for conducting experimental design and rapid prototyping
 * Lead the data-driven decision-making process, from data preparation and analysis to implementation and monitoring the results
 * Iteratively improve the solutions to meet the highest-class standards and productionize
 * Translate complex data analysis into clear, actionable recommendations for both technical and non-technical audiences
 * Manage data science projects, ensuring they meet business requirements and are delivered on time
 * Research the best practices to build the next generation analytics products and services


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