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# Data Scientist (Remote)

- **Company:** TALENTHOP LLC
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Computer Programming, Databases, Information Engineering, Data Mining, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, Cloud Services, Tensorflow, SQL Databases, Google Cloud, Pytorch, Snowflake, Apache Spark, Deep Learning, Keras, Scikit Learn, Information Technology, Xgboost, Machine Learning Operations, Recurrent Neural Networks, Databricks
- **Published:** October 29, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/plref4kq7j

## About the Role

* Bachelor's degree in a relevant field and minimum 3 years of relevant experience, or equivalent combination
 * Advanced degree preferred in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or related fields
 * 1-3+ years applying quantitative research using machine learning or deep learning
 * Experience with machine learning/deep learning frameworks such as Scikit-learn, PyTorch, TensorFlow, or Keras
 * Knowledge of algorithms including CNN, GAN, LSTM, RNN, XGBOOST
 * Data engineering experience with big data platforms like Hadoop, SQL, HIVE, Spark, Snowflake on cloud services (AWS, Azure, Google Cloud)
 * Programming skills in Python, Scala, or Julia
 * Familiarity with cloud-based compute and storage environments like AWS Sagemaker, Azure Databricks, or GCP AI-platform
 * Experience deploying ML models in production with MLOps is a plus
 * Agile delivery experience is a plus
 * Demonstrated leadership, self-direction, and willingness to teach and learn
 * Strong communication skills to explain complex ideas clearly
 * Presentation skills for diverse audiences
 * PowerBI experience is a plus
 * U.S. citizenship required
 * Must hold or be eligible for an active U.S. Government Secret security clearance

## Description

* Perform data analysis and modeling on large datasets
 * Apply data mining, natural language processing, and machine learning techniques to enhance algorithms
 * Collaborate with product managers, engineers, and designers on experiments and product development
 * Source, clean, and prepare data for modeling
 * Develop and refine data features
 * Conduct A/B testing and statistical analysis to evaluate optimizations
 * Explore new design or technology approaches to improve user benefits
 * Collect, validate, integrate, and analyze data from multiple sources including HPDMS
 * Conduct exploratory, statistical, and predictive analyses to identify trends and risks
 * Develop and maintain databases, reports, and automated dashboards
 * Support survey design and analysis to guide program improvements
 * Collaborate with cross-functional teams to translate findings into recommendations
 * Develop and document analytical methods and tools addressing operational and health challenges
 * Present findings clearly to technical and non-technical stakeholders while safeguarding sensitive data
 * Perform additional duties as assigned