495 Director Research Analytics Remote jobs in Washington,DC

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Senior Data Scientist (Machine Learning&Geospatial Analytics)– TS/SCI Required

Leidos

Arlington, VA 22204

~ 12 min OnsitePaid Time OffRetirement Benefit

An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
Demonstrated senior-level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open-source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Familiarity with working in high-side (classified) environments.
Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.

SmartExplore AI is experimental.

New, Posted 1 day ago

Easy Apply

Director of Graduate School Admission

Capitol Technology University

Laurel, MD 20708

$73,000-$83,000/yr

~ 29 min Onsite

Bachelor's degree from an accredited institution of higher learning
Possess at least 5 years of experience in higher education
Possess proficiency with CRM and SIS (Jenzabar and Salesforce is preferred)
Must be able to work in the U.S. without sponsorship

SmartExplore AI is experimental.

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Senior Data Scientist (Machine Learning&Geospatial Analytics)– TS/SCI Required

Leidos

Annandale, VA 22003

~ 22 min OnsitePaid Time OffRetirement Benefit

An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
Demonstrated senior-level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open-source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Familiarity with working in high-side (classified) environments.
Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.

SmartExplore AI is experimental.

Director, Industrial Markets Strategy

KPMG

Washington, DC 20001

OnsiteHealth InsuranceRetirement Benefit

A minimum of eight years work experience (including at least three post-MBA years) in a client-facing strategy discipline at a major strategy, boutique strategy or Big 4 firm or a combination of ten years work experience in a strategy consulting discipline and high-impact, business-wide corporate development departments of Fortune 100
Deep industry knowledge/experience in Industrial Markets including Automotive, Engineering and Industrial Products, Aerospace and Defense, and Metals
Bachelor's degree from an accredited college/university, preferably in Business Administration, Engineering, or other related field
Masters degree in Business Administration from an accredited college/university is preferred
Experience in at least one of the following strategy and M&A; consulting areas: strategic growth, operational and performance improvement, transaction and business due diligence, or other relevant strategy experience
Strong business acumen, with analytical and problem solving skills and ability to understand how business model decisions impact operating model design/execution across operations, technology, risk governance and organizational design
Comfort with ambiguity and fluid client situations
Willingness and ability to travel
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

Director, M&A Strategy

KPMG

Washington, DC 20001

RemoteHealth InsuranceRetirement Benefit

A minimum of eight years work experience (including at least three post-MBA years) in a client-facing strategy discipline at a major strategy, boutique strategy or Big 4 firm or a combination of ten years work experience in a strategy consulting discipline and high-impact, business-wide corporate development departments of Fortune 100
Bachelor's degree from an accredited college/university, preferably in Business Administration, Engineering, or other related field
Masters degree in Business Administration from an accredited college/university is preferred
Experience in at least one of the following strategy consulting areas: strategic growth, operational and performance improvement, transaction and business due diligence, or other relevant strategy experience
Strong business acumen, with analytical and problem solving skills and ability to understand how business model decisions impact operating model design/execution across operations, technology, risk governance and organizational design
Comfort with ambiguity and fluid client situations
Willingness and ability to travel
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

New, Posted 14 hours ago

Director - Life Sciences Advisory - Commercial

Guidehouse Careers

Arlington, VA 22204

Software Engineer with Poly SR SWE2

Lockheed Martin

Annapolis Junction, MD 20701

~ 32 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

TS/SCI w/ FSP
Twenty (14) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
Bachelor's degree in Computer Science or related discipline from an accredited college or university is required.
Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Experience as a Software Engineer with knowledge assisting in the design, development, testing, and debugging of software solutions, with a focus on Linux operating systems.
Strong Familiarity with programming languages such as Java.

SmartExplore AI is experimental.

New, Posted 21 hours ago

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