washington, district of columbia
Posted
6 days ago
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Location -
washington, district of columbia
Job Description
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Senior Data Science Consultant - Clearance Required LMI is seeking a seasoned Senior Data Science Consultant to design and implement a comprehensive test and evaluation (T&E) strategy for a critical supply chain risk program for the Department of Defense.
In order to make an application, simply read through the following job description and make sure to attach relevant documents. At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. Responsibilities Develop and implement a test and evaluation framework for both front end and back end components of an enterprise solution including data products, modeling products and UI. Implement a test harness to systematically assess and validate the functionality and performance of solution components. Collaborate with stakeholders to refine testing protocols, ensuring they align with operational requirements and customer priorities for supply chain risk management. Identify practical test and training data sets for each evaluation. Document test findings and provide actionable insights to improve the system's reliability and effectiveness in real-time operational settings. Spearhead the integration of T&E methodologies into the ongoing development lifecycle to continuously adapt and enhance enterprise solution capabilities. Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem. Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks. Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements. Engage with cutting-edge data science techniques to address complex, large-scale data challenges. Qualifications Bachelors degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience. Minimum of 5 years’ experience in a data science capacity. Extensive experience applying Agile methodologies. Proven ability to design and execute test strategies that effectively assess complex software systems. Robust analytical, conceptual, and problem-solving skills.
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In order to make an application, simply read through the following job description and make sure to attach relevant documents. At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. Responsibilities Develop and implement a test and evaluation framework for both front end and back end components of an enterprise solution including data products, modeling products and UI. Implement a test harness to systematically assess and validate the functionality and performance of solution components. Collaborate with stakeholders to refine testing protocols, ensuring they align with operational requirements and customer priorities for supply chain risk management. Identify practical test and training data sets for each evaluation. Document test findings and provide actionable insights to improve the system's reliability and effectiveness in real-time operational settings. Spearhead the integration of T&E methodologies into the ongoing development lifecycle to continuously adapt and enhance enterprise solution capabilities. Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem. Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks. Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements. Engage with cutting-edge data science techniques to address complex, large-scale data challenges. Qualifications Bachelors degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience. Minimum of 5 years’ experience in a data science capacity. Extensive experience applying Agile methodologies. Proven ability to design and execute test strategies that effectively assess complex software systems. Robust analytical, conceptual, and problem-solving skills.
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