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Top Data Science Jobs in Baltimore, MD
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.
Top Skills:
AWSCloud PlatformsData PipelinesDatabricksDeep LearningGCPJavaMachine Learning LibrariesAzureNatural Language Processing (Nlp)Neural NetworksPythonSnowflake
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead teams applying advanced data science and machine learning to large-scale claims, clinical, and member data to generate actionable insights that reduce cost of care and improve population health. Manage client relationships, mentor staff, ensure project delivery and quality, develop payer-focused analytics products, present findings to senior stakeholders, and promote continuous improvement and knowledge sharing.
Top Skills:
Claims DataClinical DataCms Star RatingsMachine LearningNcqa HedisNlpSocial Determinants Of Health (Sdoh) Data
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and deploy statistical and machine learning models for the Toast platform. Collaborate with product, engineering, and business teams to identify opportunities, develop data-driven solutions, evaluate models, and communicate insights to stakeholders. Work in a fast-paced environment and contribute to production ML systems and experimentation.
Top Skills:
AirflowPythonPyTorchScikit-LearnSQLTensorFlow
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, demand forecasting, targeting, and personalization. Collaborate with engineers, product, and stakeholders to set architecture, metrics, and production best practices; mentor data scientists; lead experimentation and deploy/monitor models using cloud and MLOps tooling.
Top Skills:
AthenaAWSBedrockDistributed Data ProcessingDynamoDBGlueLlm Fine-TuningMlopsPythonPyTorchReal-Time InferenceRlhfSagemakerScikit-LearnSQLTensorFlow
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Lead complex modeling projects combining deep learning, LLMs, and traditional techniques. Prototype, deploy, and monitor production models, mentor data scientists, collaborate with engineering/product, and translate results into business impact for insurance customers.
Top Skills:
APIsBig DataCi/CdDockerExperiment TrackingFederated LearningGlmJupyterLlmsMlopsModel ServingNeural NetworksPipeline OrchestrationPythonTime Series ModelingTransformersXgboost
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead end-to-end pricing experimentation and strategy for consumer and business products. Design and analyze A/B tests, build pricing models and production-grade data pipelines, partner cross-functionally, and present actionable recommendations to senior leadership.
Top Skills:
Generative AiPythonRSQL
Healthtech • Social Impact • Software • Telehealth
Analyze billing patterns, healthcare claims, and complex datasets to identify anomalies, audit data integrity, and support Trust and Safety initiatives. Build risk-monitoring pipelines and compliance dashboards using SQL, Python/R, and visualization tools. Translate technical findings into risk assessments for legal, compliance, and executive partners while developing safeguards to protect patients, regulatory standing, and platform operations.
Top Skills:
HexLookerModePythonRSQLTableau
Big Data • Information Technology • Software • Analytics • Energy
Lead design and evolution of large-scale nodal power market models. Define mathematical approaches, develop optimization/forecasting methodologies (MILP, SCUC/SCED), collaborate with engineers to productionize models, work with product and customers to translate market problems into software, mentor data scientists, and guide long-term product strategy.
Top Skills:
Ac Power Flow ModelingApi Development/IntegrationDc Power Flow ModelingKubernetesLarge-Scale OptimizationMarket Management System (Mms)Mixed-Integer Linear Programming (Milp)Nodal Electricity Market ModelingPythonSecurity-Constrained Economic Dispatch (Sced)Security-Constrained Unit Commitment (Scuc)
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead research and engineering of production-grade LLM/GenAI systems for cybersecurity: design models and architectures, drive data labeling and evaluation, collaborate with product and engineering to deploy scalable solutions, mentor data scientists, set technical strategy, and advance AI safety, red-teaming, and applied ML innovations for detection and operational use.
Top Skills:
Cloud TechnologiesDeep Learning FrameworksGenaiGpu TechnologiesLlmsPython
Fintech • Information Technology • Software
As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.
Top Skills:
AWSPostgresPython 3
Information Technology
Analyze complex national security missions and operational environments; develop strategic frameworks, visualizations, exercises, and wargaming approaches. Assess AI and ML capabilities, including risks, vulnerabilities, and adversarial factors. Integrate data feeds, create dashboards, conduct capability assessments, collaborate with industry and academia, and prepare executive recommendations and briefings for senior leaders.
Top Skills:
Artificial IntelligenceData VisualizationMachine LearningPower BIPythonTableau
Fintech • Information Technology • Software
Build and productionize end-to-end fraud and financial risk models: data acquisition, feature engineering, labeling, training, experimentation, deployment, and monitoring. Research new fraud types, drive product development, support data quality and access, and present analyses to inform product, operations, sales, and marketing.
Top Skills:
Aws Ec2Aws RdsAws RedshiftAws S3PostgresPython 3
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Artificial Intelligence • Fintech • Healthtech • Software
Lead product analytics efforts by designing and evaluating experiments, building dashboards, and producing statistical insights. Partner with product, design, and engineering to measure product success, identify optimization opportunities, and embed ML-driven personalization into the product.
Top Skills:
DbtHexLookerPythonSQL
Cloud • Information Technology • Professional Services • Cybersecurity
Analyze large structured and unstructured datasets, develop and deploy statistical and machine learning models, build/automate data processing workflows, create visualizations and dashboards, and communicate findings to technical and non-technical stakeholders in support of IC and DoD missions.
Top Skills:
Cloud-Based Analytics PlatformsHadoopJupyter NotebookNumpyPandasPysparkPythonSparkSQL
Healthtech
Build, optimize, and deploy machine learning models (especially time series) using Python, PySpark, and cloud tools. Perform feature engineering, evaluate model performance (MAPE, RMSE, R²), and create ETL/data pipelines with integration tools. Work with Palantir Foundry, Google Cloud (BigQuery, Vertex AI), AutoAI, and data warehouses to support large-scale analytics. Collaborate with stakeholders, monitor production models, and continuously improve model accuracy and pipelines.
Top Skills:
ArimaAutoaiBigQueryBoomiCloud FunctionsData LakeGCPGoogle ColabLstmsPalantirPalantir FoundryProphetPysparkPythonRelational DatabaseSnaplogicSQLSsisVertex Ai
Insurance
Develops and deploys production machine learning models and data products for enterprise use. Responsibilities include data mining, feature engineering, model evaluation, NLP and LLM/RAG solutions, API and pipeline integration, cloud-based deployment, model validation, A/B testing, documentation, and lifecycle management. The role translates business needs into scalable data science solutions and collaborates with product, engineering, and business stakeholders throughout the SDLC.
Top Skills:
A/B TestingAPIsAWSAws BedrockAws SagemakerAzureAzure Machine LearningAzure OpenaiCloud ServicesData PipelinesLarge Language ModelsMachine LearningNatural Language ProcessingPythonRetrieval-Augmented GenerationSoftware Development LifecycleSQLVersion Control
Aerospace • Information Technology • Professional Services • Security • Software
Build and deploy AI/ML solutions from prototype through production for CMS, including generative AI, LLMs, RAG, intelligent classification, knowledge management, agentic frameworks, and enterprise integrations. Evaluate AI coding tools, establish AI/ML roadmaps, scale adoption, mentor data scientists, and translate technical concepts for stakeholders and leadership.
Top Skills:
APIsAws BedrockAws LambdaAws SagemakerETLLarge Language Models (Llms)NumpyPandasPythonPyTorchRetrieval-Augmented Generation (Rag)Scikit-LearnSQLTensorFlow
Artificial Intelligence • Machine Learning • Software
Tune AML and fraud detection models using customers’ live transaction data. Investigate missed cases, alert quality, pattern drift, and false positives; validate changes through backtesting and sample review; document regulatory rationale; and present model performance and business value to compliance, risk, and data science stakeholders. Partner with customer teams on account strategy and relay customer-specific or systemic findings to product and model functions.
Top Skills:
Explainable AiMachine LearningPythonSQL
Professional Services • Financial Services
Analyze large datasets, identify meaningful patterns, develop machine learning models, and deliver actionable insights for business decisions. Collaborate with cross-functional teams to understand data needs, communicate findings clearly to stakeholders, and stay current with advances in data science and AI technologies.
Top Skills:
Machine LearningPythonR
Information Technology • Legal Tech • Analytics
Design, develop, and deploy ML, NLP, and generative AI solutions to improve scientific discovery. Build retrieval, recommendation, ranking, and RAG systems; fine-tune and evaluate LLMs; create evaluation frameworks; build scalable data pipelines; collaborate with cross-functional teams and produce production-quality Python code to deliver reliable, impactful AI systems for research use.
Top Skills:
EmbeddingsGenerative AiHugging FaceKnowledge GraphsLarge Language ModelsNlpOntologiesPythonPyTorchRetrieval SystemsRetrieval-Augmented Generation (Rag)Scikit-LearnTensorFlow
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
Design, develop, and deploy ML, NLP, and generative-AI solutions (including LLMs and RAG) to improve search, retrieval, recommendation, and question-answering across scientific publications and datasets. Build scalable pipelines, evaluation frameworks, and production-quality Python code while collaborating with engineering, product, UX, and domain experts to measure and improve model reliability, relevance, and user impact.
Top Skills:
EmbeddingsGenerative AiHugging FaceLarge Language Models (Llms)NlpPythonPyTorchRetrieval SystemsRetrieval-Augmented Generation (Rag)Scikit-LearnTensorFlow
Fintech • Mobile • Software • Financial Services
Develops and validates machine learning and statistical models for anti-money laundering, transaction monitoring, customer screening, and risk rating. The role evaluates AML data quality, integrates vendor solutions, maintains governance and regulatory documentation, leads model lifecycle quality control, and reports performance through management dashboards. It also supports AML risk assessments, audits, regulatory examinations, and cross-functional stakeholder coordination.
Top Skills:
Cloud ComputingDatadogDistributed ComputingDockerKubernetesLexisnexisMachine LearningMonte CarloPythonSnowflakeSQLStatistical ModelingTableauTerraformTraditional DatabasesVerafin
Healthtech • Insurance
Designs, validates, and operationalizes predictive, machine learning, and AI models using large structured and unstructured datasets. Performs statistical analysis, develops visualizations and dashboards, presents findings to stakeholders, and integrates solutions across teams. Provides clinical-program analytics, evaluates data science tools, mentors junior scientists, leads concurrent projects, and prepares end-to-end model pipelines for business use.
Top Skills:
AWSAzureDatabricksGCPMicrosoft AccessExcelMicrosoft PowerpointMicrosoft WordPower BIPythonRSnowflakeSQL
Healthtech • Insurance
Designs, validates, and operationalizes predictive, machine learning, and artificial intelligence models using large structured and unstructured datasets. Performs statistical analysis, feature engineering, exploratory analysis, visualization, and clinical program outcome validation. Collaborates cross-functionally to integrate solutions, prepares end-to-end model pipelines, and communicates analytical findings to stakeholders to improve business processes.
Top Skills:
AWSAzureDatabricksGCPMicrosoft AccessExcelMicrosoft PowerpointMicrosoft WordPower BIPythonRSnowflakeSQL
HR Tech • Professional Services • Consulting • Financial Services
Consult as a fractional data scientist for hedge funds, private equity firms, and family offices. Lead data science initiatives: build infrastructure, develop and deploy models, create portfolio dashboards, monitor post-deployment performance, and partner with investment teams to turn data into actionable investment insights. Advise on vendor selection, data quality, technology stacks, KPIs, and governance.
Top Skills:
SparkArtificial IntelligenceCloud Computing PlatformsLookerMachine LearningPythonQlikviewRSQLTableau
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