Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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Job Information

Apex Systems, Inc Data Scientist in Lafayette, Indiana

Job#: 2011850

Job Description:

Role: Data Scientist - Mid Location:Indianapolis, IN (100% Remote) Type:Contract through EOY Scope The successful candidate will have a passion for building evaluation frameworks for answering business questions and discovering meaningful insights across various data states (e.g.observational data, model residuals, etc.), all while adopting team-wide best practices (e.g.clean code, reproducible/transferrable work, git, etc.) and maintaining effective levels of communication. Responsibilities

  • Join a collaborative team of data scientists with a focus on technical excellence, cross-team support, and high impact work.
  • Support the development and delivery of data science capabilities that support evolving product capabilities.
  • Deliver clear, reproducible analysis while building or improving the team score capabilities (such as reusable data pipelines, scripts, functions, documentation, etc.)along the way.
  • Contribute to stand-ups, technical discussions, internal and external presentations, and team road mapping sessions.

Skills / Experience:

  • Experience independently answering business and related analytics questions with interpretable and direct quantitative approaches.
  • Experience in using Python for analysis, including the use of common libraries (pandas, numpy, scipy, matplotlib, seaborn, etc.), creating and sharing jupyternotebooks, and building reusable functions and scripts.
  • Experience leveraging various statistical tools to test hypotheses or generate distributions based on observational data to quantify uncertainty and confidence.
  • Fluency in using SQL for common data access, transformations, and aggregations.
  • Ph.D. or M.S. in Data Science, Computer Science, Physics, Engineering, Operations Research, or related scientific discipline.

Essential Skills

  • Growth mindset with an interest in developing and maturing skills in statistics, coding, project management, and communication.
  • Ability to work in a matrixed, collaborative environment by using clear and direct asynchronous and synchronous communications.
  • Intellectual creativityto solve problems using new approachesand techniques.

Est. # of work hours per week:40 Desired Start Date:2-3 Weeks from Acceptance date Estimated End Date:12/31/24

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