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Entry Level Data Scientist

RTI International
Email

 Job Description

The Center for Data Science at RTI International, one of the nation’s largest independent, nonprofit scientific research organizations, is seeking an Entry Level Data Scientist with skills in data mining, statistical learning, predictive modeling, mathematical and simulation modeling, forecasting, data visualization, text analytics, social media analytics, and natural language processing to work on projects in the domains of public health, health care, health communications, global health, social science research, sample surveys, engineering, and the environment.  The successful candidate will work with a growing team of RTI data scientists and domain experts on government and commercial analytics projects and also on projects to build internal tools and capacity.

Our goal is to solve problems and inform decision-making through innovation, collaboration, and technical expertise.

Responsibilities

  • Collaborate with a team of data scientists, statisticians, computer scientists, and subject matter experts to solve problems using data science approaches, techniques, and methods

  • Participate in projects, tasks, and staff in activities related to data integration, data cleaning, descriptive analyses, exploratory analyses, predictive modeling, data mining, text analytics, social media analytics, social network analysis, rapid prototyping, and data visualization

  • Collect, store, access, and analyze data from a variety of sources

  • Assist in developing static and interactive data visualizations

  • Develop predictive models and simulations using a variety of software and tools.

  • Assist in expanding predictive analytics business:  participate in meetings with clients (internal and external), assist in framing projects and designing solutions based on client needs and problems to be solved

  • Communicate results through presentations, reports, tools, and data visualizations for clients, internal staff, scientific journals, and other publications

  • Assist teams in proposal writing

  • Participate in professional development and scientific stature efforts

 Qualifications

  • Degree (bachelor’s,) in data science, predictive analytics, statistics, applied mathematics, computer science, engineering, operations research, economics or related quantitative field

  • 0-3 years of relevant experience

  • Strong interpersonal and collaboration skills - strong oral, written communication, and presentations skills as evidenced by publications or cover letter.

  • Experience with modern open source software used in predictive analytics and data visualization, such as:  R, Python, Perl, Julia, d3.js, ggplot2, Processing/Processing.js, or Gephi

  • Experience with SQL 

  • To qualify, applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa status

 

Desired Skills/Experience:

  • Ability to extract, merge and analyze data from a wide variety of sources (e.g., relational databases, text and unstructured files, sensor data, image and video files).

  • Experience with any of these:  text analytics, social media analytics, natural language processing

  • Ability to quickly and easily learn new open source software

  • Experience with static and/or interactive data visualization methods

  • Experience with a compiled programming language (e.g., C, C#, C++, Java)

  • Experience with web technologies, including HTML, CSS, Javascript and a framework such as Node.js/Express, Ruby on Rails, and/or Django.

  • Familiarity with SQL and NoSQL databases, including any of these:  MySQL, PostgreSQL, SQLite, MongoDB, and Neo4j.

  • Experience with techniques and technologies for accessing and analyzing “big data” (e.g., electronic health records, sensor data, social media data, -omics data)

  • Experience in cluster and cloud computing environments