Top Data Science Jobs in Baltimore, MD

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

The Data Scientist will develop AI models, analyze data using algorithms, and provide insights to support engineering solutions.

As a Data Scientist, you'll use machine learning and statistical analysis to develop algorithms for complex data challenges, ensuring real-time insights for clients in the Intelligence Community.

As a Data Scientist, you'll analyze complex data sets to provide insights, develop algorithms, and guide decision-making for global challenges. You'll work in collaborative environments with clients on diverse applications from fraud detection to healthcare.

GliaCell seeks a Data Scientist with experience in software development and strong communication skills. Responsibilities include data analysis, modeling, and working with government contracts. Must possess a TS/SCI clearance and programming expertise in Python and R.

The internship offers military service members civilian work experience in data science through data analysis and related skillsets over 90-180 days.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Senior Data Scientist will develop data pipelines for AI applications, optimize data structures, manage databases, and ensure data quality and security.

The Data Scientist will analyze complex datasets to extract insights, design predictive models, and present findings through storytelling and visualizations.

The Data Scientist Level 3 will use mathematical, statistical, and computational skills to analyze large datasets, derive insights, and communicate results to both technical and non-technical audiences.

The Data Scientist 2 role involves expertise in AI/ML, proficiency in Python, and contributions to data processing, modeling, and analysis to derive meaningful insights from large datasets.

This role involves developing NLP solutions for language data, evaluating models, and enhancing data processing capabilities in a national security context.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

As a Data Scientist Level 3, you will apply data science expertise to national security challenges, develop analytical tools, and communicate insights effectively to diverse audiences.

As a Data Scientist, Level 3, you'll leverage Python to automate workflows, perform data manipulation, and create visualizations, applying advanced analytics to complex datasets and communicating insights to varied audiences.

The role involves developing advanced AI/ML solutions for mission domains, optimizing models, and deploying scalable systems, with a focus on intelligent automation.

The Data Scientist will develop advanced analytics for cybersecurity, collaborate with engineers and analysts, model complex data, and support threat intelligence.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

The Data Scientist will lead quantitative research projects, manage datasets, mentor junior analysts, and translate findings into actionable insights for clients.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The Applied Data Scientist III will develop scalable AI solutions, analyze data, and translate technical concepts for stakeholders while advocating for AI adoption.