- Search jobs
- Denver, CO
- data science manager
Data science manager Jobs in Denver, CO
Data Science Intern
00100 LEIDOS, INC.Aurora, COTechnical Product Manager - data science / engineering background - W2 role
DRC SystemsCO, United States- Promoted
Manager - PRM Development & Decision Science
Frontier AirlinesDenver, CO, US- Promoted
Manager, Data Governance
KPMGDenver, CO, United States- Promoted
Business Data Manager
Cooley LLPColorado, CO, United States- Promoted
Technical Product Manager (Data Science)
Goldenpick TechnologiesDenver, CO, USSummer Internship - Computer Science | Data Science | IT Focus
Denver WaterDENVER, CO- Promoted
Manufacturing Science & Technology (MSAT) Manager
Leiters IncEnglewood, CO, US- Promoted
Data Science Intern
XometryDenver, CO, US- Promoted
Senior Technical Product Marketing Manager, Developer and Data Science
TetraScienceCO, United States- Promoted
Data Science Manager
VirtualVocationsLittleton, Colorado, United States- Promoted
Data Science Bootcamp
General AssemblyThornton, CO, United StatesSr Manager - Data Science Experimentation
SpectrumGreenwood Village, Colorado- Promoted
- New!
2025 Summer Intern : Data Science
Charter CommunicationsGreenwood Village, CO, United StatesClinical Science Program Manager
University of ColoradoAurora, USSr. Data Science Engineer, Realm-X
AppFolio, IncRemote - Denver, COData Science Manager
DISHEnglewood, Colorado, United StatesDeep Learning Data Science Manager
DeloitteDenver, Colorado, US- Promoted
Clinical Science Program Manager
University of Colorado Anschutz Medical CampusAurora, CO, United StatesData Science Intern
00100 LEIDOS, INC.Aurora, CO- Full-time
We are looking for a Data Science Intern with an entrepreneur’s mindset to support a fast-paced and growing data science team working on projects critical to National Security. The position is in Chantilly, VA or Aurora, CO and requires the ability to obtain and maintain a TS / / SCI with Polygraph security clearance in the future. Position is funded and an immediate fill opportunity to start Summer 2025. The Data Science Intern will be responsible for researching, manipulating, and interpreting complex data and analyze results using machine learning, advanced statistics, and other techniques to draw inferences and clearly articulate findings. The position requires a candidate with demonstrated verbal and written communication skills, dexterity to stay abreast with new developments in data science and statistical modeling, and the ability to obtain the required security clearance. The ideal candidate is highly motivated, technically inquisitive, possesses strong problem-solving proficiency, and is a clear communicator. The Data Scientist will be expected to learn and leverage emerging technologies including AWS and Git.
Primary Responsibilities
- Perform analysis to solve problems; translate problems into data science questions and assist in developing solutions
- Clean, process, prepare, and maintain data sets for analysis and modeling
- Perform exploratory data analysis to identify relevant patterns and trends
- Assist in the development, evaluation, validation, and implementation of statistical models and data science methods such as regression, classification, clustering, and time series to provide answers and insights on key strategic questions
- Share and communicate results to audiences of varying technical ability
- Engage and collaborate with cross-functional teams to address technical needs
Basic Qualifications
Preferred Qualifications
Original Posting Date :
2024-09-24
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range :
Pay Range $44,850.00 - $81,075.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.