> Markdown version of [/jobs/ext/3276539-data-scientist](https://www.wearedevelopers.com/jobs/ext/3276539-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:** ONE STOP COLLECTIBLE CORP - **Location:** San Mateo, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Algorithm Design, Amazon Web Services, Microsoft Azure, Big Data, C++ (Programming Language), Computer Programming, Data Cleansing, Data Infrastructure, R (Programming Language), Python (Programming Language), Machine Learning, NumPy, Tensorflow, SciPy, Software Engineering, High Performance Computing, Feature Engineering, Deep Learning, Git, Scikit Learn, Kubernetes, Recurrent Neural Networks, Programming Languages - **Published:** September 10, 2026 - **Apply:** https://startup.jobs/data-scientist-blackbear-2-3941800 ## About the Role * Machine learning, regression analysis, statistical testing * Feature engineering and data cleansing * Advanced analytical knowledge of data * Conducting big data analysis * Data conditioning * Programming advanced computing * Developing algorithms * Developing software and data models * Executing predictive analytics Education, Experience, and Licensing Requirements: * 5+ years of professional experience * Proficient with one or more programming languages (Python, R, Java, C++, etc.) * Experience working with TensorFlow, SciKit Learn, NumPy, SciPy * Experience working with NLP and BERT * Experience implementing deep learning * Specific examples using LSTM, RNN, and SVM a plus * Git experience and Kubernetes a plus * Experience working in AWS or Azure * Demonstrated experience applying data science methods * Experience implementing agile approach to artificial intelligence algorithm development ## Description * Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. * Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. * Lead data experiments tasked by the Data Science Team. * Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. * Develop and implement statistical models. * Work with Machine Learning engineering team to implement model. * Analyzes problems and determines root causes. * Helps identify company data assets and assists in defining data models. * Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)