Quadrant, Inc.
Project Manager - Technical Project Manager
Quadrant, Inc., Reston, Virginia, United States, 22090
Technical Project ManagerReston, VAPay From: $100,000 per yearMUST:
Experienced Technical Project Manager5+ years of experience in a technical management role, preferably within the data science or analytics domainExperience leading teams in data-related projects, including data collection, preprocessing, cleaning, and analysisStrong understanding of machine learning concepts and techniques, with practical experience in model development, evaluation, and deploymentExperience leading teams in an agile scrum/kanban environment, with the ability to play the scrum master roleExperience with agile project management tools such as JIRA or Azure boards is preferredExcellent analytical, interpersonal, and leadership skills, with the ability to mentor and motivate a diverse teamKnowledge of data privacy laws (e.g., GDPR, HIPAA) and ethical considerations in data scienceFamiliarity with SQL for data querying and manipulation preferredAbility to thrive in a fast-paced environment, manage multiple priorities, and meet tight deadlinesStrong communication skills, both oral and written, with the ability to effectively communicate complex technical concepts to non-technical stakeholdersBachelor's degree in Data Science, Computer Science, Statistics, or a related field requiredDUTIES:
Lead and manage a team of Data Scientists, providing guidance, mentorship, and support in all aspects of their rolesOversee the implementation of data science projects, from conception to delivery, ensuring alignment with client objectives and organizational goalsServe as a technical expert, leveraging advanced data science methodologies and cutting-edge algorithms to extract insights from diverse datasetsLead the team in an agile scrum/kanban environment, playing the scrum master role to ensure efficient project execution and deliveryUtilize agile methodologies to plan and prioritize project tasks, facilitate daily stand-up meetings, sprint planning, sprint reviews, and retrospectivesCollaborate with cross-functional teams to define project requirements, develop workflows, and optimize performance for large-scale data analysisDrive continuous improvement initiatives, enhancing data science workflows, best practices, and methodologiesFacilitate communication and collaboration across teams, fostering a culture of innovation, knowledge sharing, and teamworkAct as a liaison between the Data Science team, business stakeholders, and upper management, providing regular updates, reports, and strategic insights
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Experienced Technical Project Manager5+ years of experience in a technical management role, preferably within the data science or analytics domainExperience leading teams in data-related projects, including data collection, preprocessing, cleaning, and analysisStrong understanding of machine learning concepts and techniques, with practical experience in model development, evaluation, and deploymentExperience leading teams in an agile scrum/kanban environment, with the ability to play the scrum master roleExperience with agile project management tools such as JIRA or Azure boards is preferredExcellent analytical, interpersonal, and leadership skills, with the ability to mentor and motivate a diverse teamKnowledge of data privacy laws (e.g., GDPR, HIPAA) and ethical considerations in data scienceFamiliarity with SQL for data querying and manipulation preferredAbility to thrive in a fast-paced environment, manage multiple priorities, and meet tight deadlinesStrong communication skills, both oral and written, with the ability to effectively communicate complex technical concepts to non-technical stakeholdersBachelor's degree in Data Science, Computer Science, Statistics, or a related field requiredDUTIES:
Lead and manage a team of Data Scientists, providing guidance, mentorship, and support in all aspects of their rolesOversee the implementation of data science projects, from conception to delivery, ensuring alignment with client objectives and organizational goalsServe as a technical expert, leveraging advanced data science methodologies and cutting-edge algorithms to extract insights from diverse datasetsLead the team in an agile scrum/kanban environment, playing the scrum master role to ensure efficient project execution and deliveryUtilize agile methodologies to plan and prioritize project tasks, facilitate daily stand-up meetings, sprint planning, sprint reviews, and retrospectivesCollaborate with cross-functional teams to define project requirements, develop workflows, and optimize performance for large-scale data analysisDrive continuous improvement initiatives, enhancing data science workflows, best practices, and methodologiesFacilitate communication and collaboration across teams, fostering a culture of innovation, knowledge sharing, and teamworkAct as a liaison between the Data Science team, business stakeholders, and upper management, providing regular updates, reports, and strategic insights
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