Top Data Science Jobs in Washington DC,

The Cleared Data Scientist will design and develop data solutions, collaborate with data analytics professionals, and enhance ML models. Responsibilities include data gathering, analysis, modeling, documentation, and maintaining solutions per evolving business requirements within a delivery-centric team in a hybrid work environment.

The Lead Data Scientist at BlueLabs will oversee the design, implementation, and delivery of analytics products, manage a team, and ensure high-quality data processing, while collaborating with various stakeholders to innovate solutions and enhance project outcomes.

As a Generative AI Data Scientist at Deepwatch, you will design and develop advanced AI/ML solutions using large datasets to solve real-world problems in cybersecurity. You'll collaborate with business teams and ML engineers to create impactful products and drive discussions with technical and management personnel.

The Senior Data Scientist will drive innovation in AI-driven consumer insights by developing and deploying neural networks and machine learning models to tackle predictive analytics challenges. Responsibilities include building data pipelines, ensuring model governance, identifying new machine learning applications, and collaborating with product teams while adhering to ethical principles in machine learning.

As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.

The Data Scientist develops end-to-end business analytics and AI solutions by leveraging expertise in statistical analysis, data mining, and machine learning techniques. Responsibilities include building data pipelines, developing AI applications, conducting complex data analysis, and collaborating with cross-functional teams.

As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.