TSPi is actively seeking a Data Visualization Specialist to join our team and support our government client. TSPi excels in meeting the needs of our partners (clients) by offering advanced technology solutions utilizing our industry specific knowledge, iterative Agile approach, commitment and passion to serve, collaborative and fun team atmosphere, and pride in our work.
Our Data Visualization Specialist helps define, design, analyze, validate, and build analytical models.
Responsibilities
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Utilize familiarity with soil science (ecology, climate, soil, hydrology) to help develop a roadmap for our soil science analytics platform and help drive our customer's vision.
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Develop geospatial visualization toolkits that provide application users with the ability to analyze and inspect their data.
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Develop APIs using Python and Flask to enable interaction with statistical analysis tools, such as fuzzy logic systems and scikit-learn models.
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Design and implement machine learning and data science workflows using Python and R.
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Work with statistical models, evaluate their performance using appropriate metrics, and communicate results and insights to non-expert stakeholders.
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Apply a variety of statistical modeling techniques, including parametric and non-parametric methods, and perform advanced analyses such as optimization, text analytics, and machine learning as needed to support project goals.
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Stay up to date with external trends and new features in third-party and cloud solutions and identify opportunities to enhance business capabilities by sharing relevant advancements with the team.
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Ensure application solutions meet quality standards for performance, reliability, fault tolerance, and maintainability.
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Support the implementation of the technology roadmap by assisting with backlog prioritization, planning, and execution to address architectural challenges and uncertainties.
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Participate in Agile ceremonies, including sizing, estimation, planning, and team collaboration activities.
Education and experience
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5+ years of technical work or other relevant industry experience.
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Bachelor’s degree in Statistics/Technology/Science/Engineering or other relevant fields.
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Hands-on experience with creating analytic workflows in Python and R.
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Experience creating APIs using Flask or similar technologies.
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Familiarity with containerization technologies (e.g., Docker) for developing, deploying, and managing applications.
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Experience working with geospatial data using PostgreSQL/PostGIS.
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Strong analytical abilities.
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Detail-oriented with experience gathering requirements.
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Expertise in Agile development methodologies, test automation, test-driven development (TDD), continuous integration/continuous deployment (CI/CD), and DevOps practices.
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Exceptional verbal and written communication skills.
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Successful candidates are subject to a background investigation by the United States government and must be able to meet the requirements to hold a position of public trust.
