> Markdown version of [/jobs/ext/629288-data-scientist](https://www.wearedevelopers.com/jobs/ext/629288-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:** CMI Marketing, Inc. - **Location:** New York, NY, United States - **Salary:** $100,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Bash Shell, Big Data, BigQuery, R (Programming Language), Apache Hive, Python (Programming Language), NumPy, Tensorflow, Scripting, Pytorch, Snowflake, Keras, Scikit Learn, Data Analytics, Xgboost, Presto, Industrial Software - **Published:** June 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5d72d6e1791e7297 ## About the Role Do you have experience in Data-driven problem-solving?, * Graduate degree or equivalent in Statistics, Industrial Systems Engineering, or comparable field * Familiarity with real time advertising markets * Familiarity with processing large data sets (eg with Snowflake, Hive, Presto or BigQuery), scripting (eg Bash or Python), the AWS environment, & statistical software (eg NumPy, scikit-learn, R) * Familiarity with cutting edge classification and regression libraries (eg TensorFlow, Keras, Pytorch) and algorithms eg (XGBoost, Convolutional NN, etc) * Familiarity with deploying, scaling, and maintaining data science models in production environments, including experience with cloud platforms, containerization, orchestration, or related tools. ## Description Raptive is seeking a Data Scientist to join our RevOps Data Science team. Your mission is to leverage our vast data set to surface meaningful insights that drive decision-making across the business. Given the broad scope of this effort, the ideal candidate will be driven by understanding and improving work processes and developing solutions that potentially use a wide variety of technologies. As a Data Scientist, you will be responsible for helping to derive meaningful insights from large amounts of data, building metrics, finding answers, and creating dependable, repeatable solutions. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. What you'll be doing * Design and analyze experiments to improve revenue * Classify audience and content to support programmatic direct and indirect sales * Deliver evolutionary floor price guidance * Visualize complex systems * Build deep understanding of data generating processes ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [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) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)