ICA.ai

ICA has built its success providing clients with a range of management solutions and technical services on complex domestic and international programs. Focusing on results, the team at ICA has a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced Data Science, and Strategic Services. In particular, ICA has established itself as a critical partner of the US Food and Drug Administration (FDA) and currently supports multiple analytics and research programs with offices including the Center for Devices and Radiological Health (CDRH) and the Center for Veterinary Medicine (CVM).

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📍 United States

🧭 Full-Time

🔍 Consulting/Biomedical Services

  • Master's or PhD degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
  • 12+ years of experience in data science or a related field.
  • At least 5 years of management experience leading teams of 10 or more data scientists, ML engineers, solution architects, and data engineers.
  • Deep expertise in statistical modeling, machine learning algorithms, and AI techniques.
  • Proficiency with programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy).
  • Extensive experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn.
  • Strong knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
  • Advanced knowledge of AWS services (Athena, S3, Glue, SageMaker, Comprehend).
  • Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).

  • Leverage technical expertise and business acumen to collaborate with senior stakeholders.
  • Ensure the Data Science team has necessary skills and resources to solve client data challenges.
  • Oversee a team of full-time employees and consultants supporting government clients.
  • Plan and direct operational policies, objectives, and initiatives.
  • Develop strategies and drive actions to meet financial and operational goals.
  • Monitor financial and operational metrics to achieve objectives.

AWSLeadershipProject ManagementPythonAgileArtificial IntelligenceCloud ComputingData AnalysisHadoopKubeflowMachine LearningMLFlowNumpyPyTorchSCRUMAlgorithmsData analysisData sciencePandasSparkTensorflowCommunication SkillsCollaboration

Posted 2024-11-17
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📍 United States

🧭 Full-Time

🔍 Consulting and Data Science

  • At least 15 years of working experience in a software engineering and development capacity.
  • Preferably experience in a senior-technical role with team leadership responsibilities.
  • Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
  • Strong project management, estimation, and resource management skills.
  • Experience in leading an agile engineering team focused on cloud development.
  • Advanced knowledge of cloud computing environments, particularly AWS and Azure services.
  • Experience with AI and machine learning libraries like TensorFlow and PyTorch.
  • Skilled in database technologies including SQL and NoSQL.
  • Excellent client engagement and communication skills.

  • Provide expert technical knowledge and drive innovation in software engineering projects.
  • Act as the day-to-day decision maker and strategic leader for the software engineering team.
  • Focus on delivering AI/ML-based solutions to enhance customer business processes.
  • Monitor project deliverables to ensure on-time delivery with high quality.
  • Foster career growth and development within the engineering team.
  • Serve as a senior technical point of contact for clients in application development.
  • Lead the development of new methodologies and solutions for client and company needs.

AWSDockerLeadershipPostgreSQLProject ManagementSQLAgileCloud ComputingData AnalysisKubernetesMachine LearningMongoDBMySQLPyTorchSCRUMAlgorithmsAzureData analysisData scienceNosqlTensorflowCommunication SkillsCollaborationDevOps

Posted 2024-11-15
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📍 United States

🧭 Full-Time

🔍 Medical Devices and Regulatory

  • Bachelor’s degree or higher in data science, biomedical engineering, or a related field.
  • Minimum 5 years of experience as a Business/Systems Analyst.
  • At least 3 years of experience in the medical device industry or with FDA.
  • Excellent analytical, critical thinking, and problem-solving skills.
  • Ability to communicate effectively with stakeholders.

  • Serve as a liaison between AI leadership for medical devices and data science teams.
  • Facilitate the development of AI solutions for the FDA.
  • Assist in developing a working prototype or minimum viable product (MVP) for FDA's CDRH.
  • Lead and support business tasks aligned with the development lifecycle.

LeadershipAgileArtificial IntelligenceData AnalysisMachine LearningData analysisData scienceCommunication SkillsCollaborationProblem SolvingCustomer service

Posted 2024-11-07
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📍 United States

🧭 Full-Time

🔍 Consulting, Data Science

  • Masters or PhD in a STEM field, medical/healthcare science discipline or equivalent experience.
  • 5+ years' experience managing or delivering complex technical products, preferably in data science.
  • Experience in a technical role such as data scientist, solutions architect, or product leader.
  • Strong technical capabilities in documentation and deliverables.
  • Exceptional written and verbal communication skills.

  • Help manage data science product delivery.
  • Partner with clients and organize multi-project initiatives.
  • Enable technical solutions and drive translation of data science approaches into product offerings.
  • Serve as key client contact, managing expectations and providing executive briefs.
  • Ensure quality of all deliverables to achieve business value.

Project ManagementBusiness DevelopmentData AnalysisMachine LearningProduct ManagementStrategyBusiness developmentData analysisData scienceCommunication SkillsCollaboration

Posted 2024-10-23
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