Data Science & Machine Learning Jobs

Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling. Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir's data and AI ecosystem. Dee

Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing

We are seeking a visionary Senior Product Manager to lead our Machine Learning Operations initiatives, focusing on developing retail-specific models and a user-friendly Model Workbench that empowers marketers to harness the power of Machine Learning without the need for deep technical expertise. A

You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into

You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutio

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorF

Senior Data Analyst/Engineer (Machine Learning) :: Con Edison :: New York Contract Job description Required Certifications Databricks Data Engineer certification (most important; can be completed post-onboarding). Data Analysis Focus – Majority of the role involves SQL-based data extraction and

The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. Deep ML Expert

As a key member of our client's Data Science and Machine Learning team, the Databricks ML Engineer will play a crucial role in developing and implementing state-of-the-art machine learning models and algorithms to solve complex business problems. Proven experience as a Machine Learning Engineer or D

Cambium Learning Group is seeking a Principal Data Integration Engineer to design and support data integrations across finance, sales, and human capital management systems. You will leverage high-performance solutions to ensure smooth operations and integrity in data management. This role demands ex

As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and auto

The role involves trade processing, risk management, and the use of SQL for data modeling.

Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team Qualifications Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performa