Data Scientist

Job ID
130680
Job Type
Contract
Industry
Manufacturing
Location
Washington, DC, United States

Talascend is currently seeking a Data Scientist for the a W-2 contract opportunity located in Washington, D.C.

SECURITY CLEARANCE:

  • US Citizenships is required.
  • Public Trust Security Clearance is required.
  • Active DOJ Public Trust Security Clearance is preferred.

SUMMARY:
Our client is looking for a Data Scientist to support a large U.S. Department of Justice (DOJ) program.  The Antitrust Division of the U.S. Department of Justice (DOJ) is responsible for enforcing federal antitrust laws and promoting fair competition in the marketplace.  As a Data Scientist, you will play a pivotal role in advancing the research efforts by applying your expertise in data analytics, machine learning, and computational methods to extract meaningful insights from large, complex datasets. Your work will support innovative research in areas such as artificial intelligence (AI), information systems, computational models, and data-driven discoveries. You will collaborate with multidisciplinary teams, including researchers, engineers, and domain experts, to design and implement data science solutions that push the boundaries of knowledge and technology.

RESPONSIBILITIES:
  • Lead data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science.
  • Develop and implement predictive models, classification algorithms, and clustering techniques to support research goals.
  • Apply natural language processing (NLP), computer vision, or other domain-specific algorithms as required by the research.
  • Design, develop, and optimize advanced algorithms that can process large-scale data efficiently, with a focus on performance and scalability.
  • Innovate and test new computational techniques to improve the accuracy and robustness of models for research applications.
  • Contribute to algorithmic advancements in the context of AI, machine learning, and deep learning.
  • Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects.
  • Work closely with data engineers to build and optimize data pipelines that facilitate the processing and analysis of large datasets.
  • Utilize cloud platforms and big data technologies (e.g., AWS, Azure, Hadoop, Spark) for efficient data processing and model deployment.
  • Design and implement robust data storage, retrieval, and management strategies for research datasets.
  • Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders.
  • Share knowledge of best practices in data science, modeling, and computational techniques within the organization.

QUALIFICATIONS:
  • US Citizenship.
  • Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of hands-on experience in data science and computer research, with at least 3 years working in a research-focused environment.
  • Advanced knowledge of machine learning algorithms, deep learning frameworks, and statistical modeling.
  • Proficiency in programming languages such as Python, R, Julia, or MATLAB for developing and testing models.
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to present insights effectively.
  • Strong understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).
  • Familiarity with NLP, computer vision, or other specialized techniques relevant to computer and information research.
  • Experience with version control systems (e.g., Git) and software development practices.
  • Strong background in applying data science to domains such as AI, computational research, data mining, or information systems.
  • Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges.
  • Strong verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
  • Ability to work effectively in a multidisciplinary, collaborative environment and mentor junior researchers and scientists.

DESIRABLE SKILLS:
  • Experience with advanced topics in reinforcement learning, neural networks, or graph theory as they apply to computational research.
  • Familiarity with distributed computing and parallel processing techniques for handling large-scale datasets.
  • Contribution to open-source projects or participation in relevant data science communities.

We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary.

Background Check and Drug Screen may be required.

Apply Now

Talascend is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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