Job Description

**MANTECH** seeks a motivated, career and customer-oriented **Lead Data Scientist** to join our Data and AI Practice onsite in **Chantilly and/or Herndon, VA** . You will be a key member of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. This leadership role involves guiding a team and collaborating with others to implement this transformative process. You will be responsible for providing expert guidance and support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based data science and analytics solutions that align with mission goals and requirements. **Responsibilities include but are not limited to:** + Lead the design, development, and deployment of cloud-based analytics and data science solutions. + Develop models and solutions applied to problem sets in a broad range of data science and data analytics areas, including but not limited to, graph analytics, anomaly detection, geo-spatial analysis, and data visualization. + Perform knowledge elicitation from client of business problem details and incorporate that knowledge into algorithms, models, analytics and approaches in client solutions. + Contribute data science expertise to solution development through whiteboarding sessions with clients, partners, and coworkers. + Address data science technical challenges in the development of solutions, including algorithms, models, data manipulation, or other technical challenges related to data science and data analytics. + Collaborate with clients to understand their business needs and translate them into technical requirements. + Ensure the quality and performance of analytics solutions through rigorous testing and validation. Adhere to security and compliance standards, ensuring the protection of sensitive government data. **Minimum Qualifications:** + Bachelor's degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and 10 years of experience OR a Master's degree and 8 years of experience. + Proven experience in Oracle Analytics Cloud or similar analytics platforms. + Demonstrated ability to lead and manage a team of engineers. + Management experience, including project, people, customer, and financial management. + Understanding of security and compliance standards related to handling sensitive Government data. **Preferred Qualifications:** + Master's degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or a related field. + Advanced certifications in Oracle Analytics Cloud or related technologies. + Experience in developing and implementing machine learning models. + Strong communication and interpersonal skills to effectively collaborate with clients and team members. **Clearance Requirements:** + Must possess a current and active TS/SCI with polygraph **Physical Requirements:** + Must be able to be in a stationary position more than 50% of the time + Must be able to communicate, converse, and exchange information with peers and senior personnel + Constantly operates a computer and other office productivity machinery, such as a computer + The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations + The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

Job Tags

Work at office, Local area,

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