588 Program Manager Science jobs in Washington,DC

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Manager, Data Science

KPMG

Washington, DC 20011

OnsiteHealth InsuranceRetirement Benefit

Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred
Proficiency in delivering analytics projects using leading processes including expert knowledge of data discovery, cleaning, model selection, validation, and deployment; Ability to work with team members and clients to assess needs, provide assistance, and resolve problems.
Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem-solving skills and strong verbal/written communication.
Ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as fluency in Python or R; Experience with SQL and cloud technology preferred; Experience with command-line scripting, data structures, and algorithms; Ability to work in Linux and/or cloud environments; Ability to write production level code.
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)

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Managing Consultant - Life Sciences Advisory - Patient Support Programs (Pharma)

Guidehouse Careers

Arlington, VA 22204

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Director, Data Science

Gartner

Arlington, VA 22209

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Senior Specialist, Federal Data Scientist

KPMG

Washington, DC 20011

OnsiteHealth InsuranceRetirement Benefit

A minimum of three years of technical data science / data analytics experience; U.S. Federal government consulting experience preferred
Bachelor's degree from an accredited college/university
Applicant must possess a U.S. Government TS/SCI clearance
Experience analyzing / wrangling data utilizing Python, SQL, R. Alteryx, SAS, or other commonly used software and platforms
Experience with data science, machine learning, data simulation, and optimization concepts / techniques
Position requires individuals to work daily on client-site

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Managing Consultant - Life Sciences Advisory - Commercial

Guidehouse Careers

Arlington, VA 22204

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Data Center Category Manager, AWS Data Center Sourcing & Procurement

Amazon Data Services

Arlington, VA 22203

~ 12 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

5+ years of procurement, supply chain, inventory management, contract management, lease administration or operations experience
5+ years of relevant strategic sourcing including vendor negotiations, global contract management, process improvement, operational and financial analysis experience
Bachelor's degree in Supply Chain, Business, Engineering, Finance, or a related technical field
Experience in procurement, supply chain, inventory management, contract management, lease administration or operations
Experience in strategic sourcing including vendor negotiations, global contract management, process improvement, operational and financial analysis
Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
Experience in global supply chain management, managing cross-functional teams in a fast-paced consumer electronics product company

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Open-Rank, Term Information Sciences and Technology Faculty

George Mason University

Fairfax, VA 22030

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Additive Manufacturing Scientist

Johns Hopkins Hospital

Laurel, MD 20707

$105,000/yr

~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

M.S Degree in Mechanical and or Electrical Engineering, Materials characterization, data science, or a related field.
5+ years of demonstrated experience related to manufacturing research, focusing on additive manufacturing.
Understand the unique capabilities of additive processing, including complex material properties, stemming from process defects, microstructure and thermodynamic solidification.
Experience in generating and interpreting data utilized to enable qualifying AM produced hardware.
Have demonstrated experience leading a team to achieve impactful results.
Are an excellent communicator, in written and oral formats, and for a variety of audience types including high-level government sponsors.
Demonstrated history of authoring proposals and high impact publications.
Are willing and able to perform work in a laboratory setting and travel for field testing, sponsor visits, conference attendance, and presentations.
Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

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Assistant Store Manager

Home Goods

Gaithersburg, MD 20878

$22.70-$31.20/hr

~ 37 min OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Minimum of 2 years of retail leadership experience as an Assistant or Store Manager
Demonstrated ability to lead, develop, and empower a large team
Excellent organizational and communication skills with ability to influence and provide effective feedback and mentorship to others
Proficient in store operations, customer service, merchandising, people management, health and safety, and loss prevention, with strong follow-through skills to successfully implement tasks and initiatives

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