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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Jobs at this company:

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🔥 Capture Manager, Federal Health Agencies (Remote, DMV, USA)

Posted 16 days ago

📍 USA

🧭 Full-Time

🔍 Federal health contracting

🔧 Requirements

Bachelor's degree in Business, Public Administration, or related field preferred, or equivalent work experience.
Three or more years of direct capture or business development experience in federal health contracting.
Demonstrated relationships with decision-makers in HHS agencies including FDA, CMS, and NIH.
Practical skills in opportunity pursuit, comfortable with data gathering and stakeholder engagement.
Clear, concise written and verbal communication skills.
Drive and adaptability with a strong work ethic and eagerness to learn.

💡 Responsibilities

Opportunity Spotting and Qualification: Monitor federal health agency forecasts and evaluate fit against ICA's capabilities.
Capture Execution: Develop and drive capture plans, keeping leadership informed.
Networking and Relationship-Building: Leverage contacts to gather intel and position ICA, maintaining relationships with key stakeholders.
Proposal Collaboration: Work with proposal leads to refine capture strategies and review proposals.
Competitive and Market Analysis: Collect intel on competitors and suggest adjustments to tactics.
Agile Problem-Solving: Identify hurdles and collaborate with teams to address challenges.

Business DevelopmentData AnalysisNetworkingRelationship buildingMarket Research

Posted 16 days ago

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🔥 Senior Data Scientist

Posted about 2 months ago

📍 United States

🧭 Full-Time

🔍 Consulting

🔧 Requirements

Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
Experience: 7 to 8 years of overall professional experience in data science, analytics, or a related field; at least 2–3 years specifically focused on LLMs.
Technical Proficiency: Coding experience with Python, C, R, Java, or Scala; statistical computer languages for data manipulation and model development; knowledge of ML techniques.
Familiarity with AWS services for scalable model development.
Preferred: Exposure to MLOps tools, big data technologies, or other cloud services.
Soft Skills: Excellent written and verbal communication skills; strong problem-solver; collaborative mindset.

💡 Responsibilities

Data Analysis & Modeling: Design advanced analytical models and establish best practices.
Client-Facing Presentations: Present complex data insights to diverse audiences, including executive stakeholders.
Predictive Modeling & Optimization: Develop models for predictive analytics and optimization.
Model Monitoring: Monitor the performance of models to ensure effectiveness.
Identify Opportunities: Identify and propose opportunities for innovative solutions.
Innovation & Strategy: Drive organizational transformation through advanced analytics.
LLM-Focused Development: Develop solutions utilizing large language models and related techniques.

AWSPythonSQLData AnalysisData MiningHadoopMachine LearningSpark

Posted about 2 months ago

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🔥 Director, Data Science Division (Remote, US)

Posted 3 months ago

📍 United States

🧭 Full-Time

🔍 Consulting/Biomedical Services

🔧 Requirements

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).

💡 Responsibilities

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 sciencePandasSparkTensorflowCommunication SkillsCollaboration

Posted 3 months ago

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