Top Data Science Jobs in Baltimore, MD

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

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.

Perform code migration from CDSW to Databricks, build analytics pipelines, and develop interactive Tableau/Qlik/Power BI dashboards. Clean and analyze maintenance and supply data, apply statistical and machine learning models, and deliver data-driven insights to PMA and AA&I stakeholders while supporting data architecture and automation.

Seeking a Data Scientist proficient in Python and NLP, experienced in building models using LLMs and generating AI solutions, with strong analytical skills.

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.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

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.

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 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.

The role involves leveraging advanced analytics and machine learning to assess and mitigate credit and fraud risks, developing scalable modeling solutions while collaborating with 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.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

Lead development of analytical pipelines and statistical models using R and Python for clinical data processing and reporting. Mentor peers and ensure compliance with regulatory standards.

As a Data Scientist, you'll build production-grade ML systems for HVAC efficiency, working on scaling models, database optimization, and real-time monitoring systems.

As a Business Intelligence Data Scientist, you will develop dashboards, build statistical models, and analyze product features to enhance user insights.