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Flint Summit LLC, a Cincinnati, OH-based software company, seeks a Data Scientist for a full-time role. You will analyze complex data, build predictive models, and create visualizations to support decision-making.
Join a dynamic team in Cincinnati with Agile workflows. Candidates should have a data science background, proficiency in Python or R, and a BS in computer science or related field.
Flint Summit LLC, a Cincinnati, OH-based software company, is seeking a Data Scientist for a full-time position. This role involves developing data-driven solutions to advance the company's business.
The Data Scientist will analyze complex data sets, build predictive models, and create visualizations to support decision-making. Collaboration with the team is essential for this role.
You’ll join a dynamic team in Cincinnati, OH, working in a modern office setting. The company values innovation and fosters an inclusive work environment.
The annual compensation range for this position is between $110,000 and $142,951, which is competitive within the industry. The role involves managing a team of developers, overseeing project timelines, and ensuring the successful delivery of software products. Employees are expected to have a strong understanding of software development methodologies, such as Agile or Scrum, and proficiency in programming languages like Java, Python, or C++. The workplace is typically an office environment, though some flexibility may be offered for remote work. The position requires a bachelor's degree in computer science or a related field, along with several years of experience in software development. Benefits, including health insurance, retirement plans, and paid time off, are provided but not detailed in the job description.
Candidates must have a strong data science background, including statistical analysis, machine learning, and data visualization. Proficiency in Python or R is required.
Analyze complex data sets, build predictive models, create data visualizationsStrong background in data science, experience in statistical analysis, machine learning, and data visualization, comfortable working with large data sets, solid understanding of programming languages like Python or R