> Markdown version of [/jobs/ext/4638099-data-scientist](https://www.wearedevelopers.com/jobs/ext/4638099-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Robotics Technologies LLC - **Location:** San Francisco, CA, United States - **Salary:** $170,560 - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Data Analysis, Big Data, Software Code Optimization, Computer Programming, Data Visualization, Distributed Computing Environment, Distributed Systems, Text Processing, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Standard Sql, Azure Machine Learning, SciPy, Sentiment Analysis, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Apache Spark, Model Validation, Generative AI, Git, Fastapi, Pandas, Matplotlib, Scikit Learn, Plotly, Machine Learning Operations, Text Analysis, Docker - **Published:** November 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=67b6d81fe0f63ce8 ## About the Role * Strong programming experience in Python. * Hands-on experience with Pandas, NumPy, and SciPy. * Expertise in Scikit-learn and machine learning algorithms. * Experience with TensorFlow or PyTorch. * Strong understanding of statistics and probability. * Experience with NLP and text analytics. * Knowledge of SQL and database management. * Experience with data visualization using Matplotlib or Plotly. * Understanding of feature engineering and model optimization. * Experience with model deployment using Flask or FastAPI. * Familiarity with Git, Docker, and ML development workflows. Preferred Skills * Experience with Generative AI and Large Language Models (LLMs). * Knowledge of RAG and vector databases. * Experience with MLflow and model lifecycle management. * Familiarity with AWS SageMaker or Azure Machine Learning. * Knowledge of Apache Spark and distributed data processing. * Understanding of MLOps and model monitoring. ## Description We are seeking a skilled Data Scientist to develop advanced analytical models, machine learning solutions, and predictive algorithms to solve complex business problems. The ideal candidate should have strong expertise in Python, machine learning, statistical analysis, NLP, and model deployment., * Develop and implement machine learning models for predictive analytics. * Perform exploratory data analysis and identify patterns in complex datasets. * Build classification, regression, and clustering models. * Develop NLP solutions for text processing and sentiment analysis. * Apply statistical techniques to support data-driven decision-making. * Perform feature engineering, model selection, and hyperparameter tuning. * Develop model evaluation frameworks to measure accuracy and performance. * Work with large datasets using Python and distributed computing tools. * Deploy machine learning models into production environments. * Collaborate with data engineers, product teams, and business stakeholders. * Monitor model performance and implement improvements. * Present analytical findings and technical recommendations.