Data Science Solutions Engineer

Position Summary:

The Data Science Solutions Engineer will report to the Spark! X-Lab Program Manager to deliver quality experiential learning opportunities in collaboration with faculty, students, and external partners. Responsibilities will include supporting the Spark! X-Lab Program Manager to scope projects, evaluate student applicants, oversee a portfolio of student projects, and work with the Spark! Technical Lead to develop and build a technical infrastructure that will strengthen project quality, maintain and enable public access to technical artifacts produced through Spark! programs. The Data Science Solutions Engineer will have opportunities to work directly on special projects and initiatives in coordination with external partners and experts in residence. This role will support the Equity Data Science Impact Lab, the Justice Media co-Lab, and the Racial Data Lab partnership with the Center for Antiracist Research.

Required Skills

  • BA/BS degree in Computer Science, mathematics, statistics, or related technical STEM field.
  • Experience with technology consulting from project scoping to client/partner management to overseeing the completion of high-quality project deliverables
  • Solid quantitative and computational skills and working knowledge of contemporary programming languages and software platforms including, but not limited to R, Python, Matlab, Sql, GIS software, and graph databases.
  • Strong grasp of statistics fundamentals – regressions, hypothesis testing, frequency distributions – and their applications to a diverse range of domains
  • Experience in data science and machine learning tools and methods: Pandas, NumPy, Scikit-learn, clustering, geospatial data processing, feature selection
  • Skilled in Natural Language Processing – Sentiment analysis, topic modeling, word vectorization.
  • Working knowledge of advanced scraping techniques, databases and data mining techniques, machine learning and algorithm development, APIs and other web services within integrated applications.
  • Deep knowledge of and experience with the best practices in data management and analysis, including data extraction, pre-processing, transformation, harmonization, and security.
  • Experience and passion for working on interdisciplinary computing and commitment to user-centered design principles and practices.
  • Ability to provide advice, problem solve, and interact with individuals at all levels from students to senior government officials to distinguished alumni.
  • Strong process and project management skills
  • Outstanding communication and people skills
  • Excellent organizational skills
  • Must have comfort working in a fast-paced, dynamic work setting. Flexibility is a must. Positivity and teamwork is a must.
  • Demonstrated commitment to diversity, equity, and inclusion
  • Basic IT skills (MS Office/Google Office, slack, trello, etc.)

Preferred Qualifications:

  • Experience with data visualization practices and tools such as Tableau or PowerBI
  • Master’s Degree in computer science, mathematics, statistics or a related STEM field
  • Familiarity with ethical and responsible computing principles and practices
  • Experience working in a professional or mentoring capacity with students
  • Voluntary activities related to social impact
  • Demonstrated commitment to antiracist research in a personal and professional context.

 

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.