Data Scientist

Overview

• Join DashLabs: Uncover Insights and Drive Data-Driven Decision-Making in AI Projects**
  
  

DashLabs is seeking a talented and driven Data Scientist to become an integral part of our team. As a Data Scientist at DashLabs, you will play a pivotal role in harnessing the power of data to fuel our AI projects, specifically focused on economic statecraft. If you're passionate about transforming complex data into actionable insights and shaping the future of AI-driven solutions, we invite you to join us.

• About Us:**
  
  

At DashLabs, we seek to position ourselves at the forefront of reshaping AI-powered solutions for government agencies, non-governmental organizations (NGOs), and global end-users. Our innovative approaches span cross-disciplinary instructional design, data-driven needs assessment, virtual learning environments, and cutting-edge research and development.

• The Opportunity: Data Scientist**
  
  

As a Data Scientist at DashLabs, you will have the unique opportunity to leverage your expertise in data analysis, statistical modeling, and machine learning to drive data-driven decision-making in our AI projects. Your contributions will directly impact how we curate knowledge and evaluate scenarios and use cases.

No. of Vacancies

1

Specific Skills

• Qualifications:**
• Proven experience in working with large, complex datasets and applying data analysis and mining techniques to extract meaningful insights.
• Proficiency in programming languages like Python or R, along with experience in data manipulation and visualization libraries.
• Familiarity with machine learning techniques and frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistical concepts and hypothesis testing to drive data-driven decisions.
• Excellent problem-solving and analytical skills to interpret and leverage data from multiple sources.
• Effective communication skills, both written and verbal, to convey complex technical findings to diverse audiences.
• Collaborative and proactive mindset, eager to contribute within a cross-functional team.
• Passion for data science and a strong desire to make a tangible impact on AI projects in the realm of economic statecraft.
  
  

Responsible For

• Responsibilities:**
• Collaborate closely with AI Research Scientists, Knowledge Curation Specialists, and NLP Specialists to collect, clean, and preprocess diverse data sets for analysis and modeling.
• Apply data mining and statistical analysis techniques to unveil patterns, trends, and correlations within complex data, providing valuable insights for strategic decisions.
• Develop predictive models, machine learning algorithms, and statistical models tailored to address challenges in economic statecraft scenarios.
• Conduct thorough evaluations and validation of data models, ensuring their accuracy, reliability, and suitability for real-world applications.
• Collaborate with cross-functional teams to integrate data analysis into AI-driven solutions for knowledge curation and scenario evaluations.
• Communicate findings and insights through clear visualizations, reports, and presentations to both technical and non-technical stakeholders.
• Explore and experiment with new data science tools and methodologies to enhance the performance and effectiveness of our AI projects.
• Work with Data Engineers and Machine Learning Engineers to establish scalable data pipelines for data processing and model deployment.
  
  

Additional Requirements

U.S. Citizenship required.

Job Nature

Full Time, Part Time

Educational Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field with a focus on data analysis and statistical modeling.

Experience Requirements

3

Job Location

Remote - USA, Washington D.C. Metro Area

Other Benefits

• Why Join Us:** DashLabs offers a dynamic work environment where your data expertise will shape AI innovation with real-world applications. Join our team to drive impactful change through data-driven insights and AI solutions.
  
  

Job Level

Beginner, Intermediate