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Data Scientist V
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Knowledge Management, Inc. (KMI) has the leadership and experience to deliver innovative technology, logistics and management solutions to meet real mission requirements. KMI is a Minority Business Enterprise (MBE) and Small Disadvantage Business (SDB) that specializes in Logistics, Warehouse Services, Distance Learning/Training, Enterprise Solutions, Financial Management Support, Program Management, Intelligence Analysis & Threat Assessment, and Data Analytics/Operations Research. Since 1998, our solutions and services have helped our clients improve performance, drive cost and operational effectives, and map technology needs for tomorrow's requirements.
Job Title: Data Scientist V
Location: Albany, GA (remote)
Position: 1
Clearance: Active DOD Secret clearance
Salary: $160,000 - $170,000
Job Description: The ideal candidate will leverage advanced data analytics, machine learning models, and statistical techniques to provide insights and recommendations to improve supply chain management, financial performance, and operational efficiency. This position plays a critical role in supporting decision-making processes by transforming complex datasets into actionable intelligence for federal logistics and financial systems.
Key Responsibilities:
Develop and implement data models, predictive analytics, and machine learning algorithms to analyze U.S. Government logistics and financial datasets, ensuring data-driven decision-making.
Collaborate with cross-functional teams, including logistics, finance, and IT, to define analytical problems and identify opportunities to optimize processes.
Use statistical analysis and visualization tools to present insights and trends from large data sets to government stakeholders.
Manage, clean, and transform logistics and financial data from multiple sources, ensuring data quality, consistency, and integrity.
Design and build dashboards and reporting solutions for real-time data analysis and operational tracking of logistics, inventory, and financial transactions.
Support the development of key performance indicators (KPIs) for supply chain performance, financial metrics, and operational effectiveness.
Conduct data mining, trend analysis, and anomaly detection to identify potential risks and areas for cost reduction in logistics and finance operations.
Provide technical expertise in advanced analytics, machine learning, and statistical programming languages such as Python, R, or SQL.
Ensure compliance with U.S. Government regulations and data security standards during the data analysis process.
Required Qualifications:
Bachelor's degree in Data Science, Computer Science, Finance, Logistics, Mathematics, or related field (Master's degree preferred).
Minimum of 16+ years of experience in data science, with a focus on logistics and finance data analysis.
Strong proficiency in programming languages such as Python, R, or SQL.
Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
In-depth understanding of statistical analysis, data modeling, and machine learning techniques.
Experience working with large datasets, databases, and cloud-based analytics platforms (e.g., AWS, Azure, Google Cloud Platform).
Strong problem-solving skills with the ability to identify trends and make recommendations based on data-driven insights.
Familiarity with U.S. Government supply chain, logistics, and financial systems is highly desirable.
Ability to obtain and maintain a U.S. Government security clearance.
Preferred Qualifications:
Experience working within federal agencies such as the Department of Defense, Department of Transportation, or other federal logistics or finance operations.
Certifications in data science or analytics (e.g., Certified Analytics Professional (CAP), AWS Certified Data Analytics).
Familiarity with federal financial regulations, logistics policies, and relevant federal procurement processes.
Soft Skills:
Strong communication skills, with the ability to present complex data to non-technical stakeholders.
Ability to work independently and within a team, managing multiple projects simultaneously.
Detail-oriented, with a focus on delivering accurate and actionable insights.
Equal Employment Opportunity Statement. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
E-Verify Statement. Knowledge Management, Inc. participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, KMI is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
Pay Transparency Non-Discrimination Provision. Knowledge Management, Inc. will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
Disability Statement. Knowledge Management aims to be a supportive workplace in all aspects of diversity, including accommodating those with additional needs. If you have a disability and need reasonable accommodation or assistance at any point in the application or onboarding process, please email us at .
Job Title: Data Scientist V
Location: Albany, GA (remote)
Position: 1
Clearance: Active DOD Secret clearance
Salary: $160,000 - $170,000
Job Description: The ideal candidate will leverage advanced data analytics, machine learning models, and statistical techniques to provide insights and recommendations to improve supply chain management, financial performance, and operational efficiency. This position plays a critical role in supporting decision-making processes by transforming complex datasets into actionable intelligence for federal logistics and financial systems.
Key Responsibilities:
Develop and implement data models, predictive analytics, and machine learning algorithms to analyze U.S. Government logistics and financial datasets, ensuring data-driven decision-making.
Collaborate with cross-functional teams, including logistics, finance, and IT, to define analytical problems and identify opportunities to optimize processes.
Use statistical analysis and visualization tools to present insights and trends from large data sets to government stakeholders.
Manage, clean, and transform logistics and financial data from multiple sources, ensuring data quality, consistency, and integrity.
Design and build dashboards and reporting solutions for real-time data analysis and operational tracking of logistics, inventory, and financial transactions.
Support the development of key performance indicators (KPIs) for supply chain performance, financial metrics, and operational effectiveness.
Conduct data mining, trend analysis, and anomaly detection to identify potential risks and areas for cost reduction in logistics and finance operations.
Provide technical expertise in advanced analytics, machine learning, and statistical programming languages such as Python, R, or SQL.
Ensure compliance with U.S. Government regulations and data security standards during the data analysis process.
Required Qualifications:
Bachelor's degree in Data Science, Computer Science, Finance, Logistics, Mathematics, or related field (Master's degree preferred).
Minimum of 16+ years of experience in data science, with a focus on logistics and finance data analysis.
Strong proficiency in programming languages such as Python, R, or SQL.
Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
In-depth understanding of statistical analysis, data modeling, and machine learning techniques.
Experience working with large datasets, databases, and cloud-based analytics platforms (e.g., AWS, Azure, Google Cloud Platform).
Strong problem-solving skills with the ability to identify trends and make recommendations based on data-driven insights.
Familiarity with U.S. Government supply chain, logistics, and financial systems is highly desirable.
Ability to obtain and maintain a U.S. Government security clearance.
Preferred Qualifications:
Experience working within federal agencies such as the Department of Defense, Department of Transportation, or other federal logistics or finance operations.
Certifications in data science or analytics (e.g., Certified Analytics Professional (CAP), AWS Certified Data Analytics).
Familiarity with federal financial regulations, logistics policies, and relevant federal procurement processes.
Soft Skills:
Strong communication skills, with the ability to present complex data to non-technical stakeholders.
Ability to work independently and within a team, managing multiple projects simultaneously.
Detail-oriented, with a focus on delivering accurate and actionable insights.
Equal Employment Opportunity Statement. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
E-Verify Statement. Knowledge Management, Inc. participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, KMI is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
Pay Transparency Non-Discrimination Provision. Knowledge Management, Inc. will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
Disability Statement. Knowledge Management aims to be a supportive workplace in all aspects of diversity, including accommodating those with additional needs. If you have a disability and need reasonable accommodation or assistance at any point in the application or onboarding process, please email us at .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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