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Overnight Science Project Management Jobs in Washington

Blend360

Associate Director of Data Science

Columbia, MD · On-site

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists. * Design and implement AI solutions leveraging advanced techniques, including prompt ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists. * Design and implement AI solutions leveraging advanced techniques, including prompt ...

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Overnight Science Project Management information

What is overnight science project management?

Overnight science project management refers to overseeing and coordinating scientific research projects or laboratory operations that take place during overnight hours. This role typically involves managing teams, ensuring experiments or processes run smoothly, troubleshooting issues that arise, and maintaining quality and safety standards throughout the night shift. Professionals in this role may work in research institutions, hospitals, or companies with 24/7 operations. Attention to detail, strong communication skills, and the ability to work independently are important qualities for success in this position.

What are the unique challenges of managing science projects during overnight shifts, and how can I prepare for them?

Overnight Science Project Management often involves overseeing experiments or research activities that require continuous monitoring outside regular hours. One of the main challenges is maintaining effective communication with daytime teams and ensuring seamless handovers. Additionally, you may encounter limited access to certain resources or support staff overnight. To prepare, develop excellent documentation skills, establish clear protocols for shift transitions, and proactively coordinate with cross-functional teams to address any potential issues before your shift begins.

What are the key skills and qualifications needed to thrive as an overnight science project manager, and why are they important?

To thrive as an Overnight Science Project Manager, you need strong organizational abilities, scientific knowledge (often supported by a relevant degree), and proven experience in project management. Familiarity with project management software (such as MS Project or Asana), data analysis tools, and potentially certifications like PMP are commonly required. Excellent communication, problem-solving skills, and the ability to work independently during overnight hours set standout candidates apart. These skills are crucial for ensuring projects progress efficiently, deadlines are met, and scientific standards are maintained despite non-traditional working hours.

What are the most commonly searched types of Science Project Management jobs in Washington?

The most popular types of Science Project Management jobs in Washington are:

Overnight Science Project Management jobs near you

Director of Data Science

Redhorse Corporation

Arlington, VA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Redhorse Corporation is a company that specializes in developing and implementing creative strategies and solutions for various customers. They are seeking a Director for their Data Science team to lead and manage a multi-disciplinary team, collaborate with stakeholders, and develop AI-driven solutions for data-driven decision-making.
Responsibilities:
• Provide Data Science as a service to internal (corporate) and external customers.
• Consult with potential customers and corporate business executives, capture leaders, and program managers to help identify, qualify, capture and execute data science projects.
• Mentor, train and manage the work of corporate data scientists; informally mentor and advise data scientists dedicated to customer engagements, and manage the Data Science community of practice.
• Work in partnership with software and infrastructure engineers to design and manage Data Science and DevOps pipelines and related corporate standards and to drive rapid prototyping and delivery of features using continuous integration and deployment.
• Perform or assist in various project management tasks relating to the Data Science portfolio.
Qualifications:
Required:
• Master’s Degree in Data Science or related field
• 5+ years of experience in data procurement, processing and manipulation, transformation, and mathematical and statistical analysis
• 5+ years of experience building executive level visualizations using industry standard tools like Tableau and ArcGIS
• 5+ years of experience with using Relational, NoSQL, and graph databases such as MySQL, MongoDB, and Neo4j to store, update, and query large volumes of information
• 2 years of experience leading complex data science projects from conception to execution
• 2 years of experience building, mentoring and managing teams of data scientists
• Experience with Natural Language Understanding to provide basic insights into unstructured and semi-structured datasets
• Ability to create conceptual models, such as Type Systems, to define main concepts or entity types along with their respective relations within a corpus of knowledge
• Experience with software configuration management, methods, and tools including GitHub or Jira
• Familiarity with at least two of the following: Python, JavaScript, PHP, VBScript, Matlab, HTML/CSS or SQL
Preferred:
• Ability to lead development efforts utilizing DevOps and Agile Methodologies
• Basic understanding of how to integrate with Cloud-based services such as AWS, IBM (BlueMix/Cloud), and Azure
• Experience with data ingestion from a variety of sources, leveraging standards-based interfaces such as SOAP/REST web services
• Familiarity with metadata extraction technologies such as GROBID and Apache Tika
• Familiarity with data structures, algorithms, and modular application design
• Experience with solutions for full–text search, hit highlighting, and faceted search, including SOLR or ElasticSearch
• Ability to learn technical concepts quickly and communicate with multiple functional groups
Company:
We want to improve the way government interacts with and uses data and technology. Founded in 2007, the company is headquartered in San Diego, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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