Data Science Innovator and Problem Solver
3 weeks ago
At LMI, we're reimagining the path from insight to outcome at The New Speed of PossibleTM. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.
Job Overview
As a Data Science Innovator and Problem Solver at LMI, you'll be part of a dynamic team that's redefining the future of data analysis. With a strong foundation in data science, mathematics, and statistics, you'll help us unlock new insights and drive business impact through data-driven decision making.
Key Responsibilities
- Frame and scale data problems to analyze, visualize, and find data solutions, using your expertise in object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
- Manipulate common data formats, including comma-delimited, text files, and JSON, to extract valuable insights and present them in a clear and actionable manner.
- Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools, such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
- Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions, using your superior communication skills, both oral and written.
- Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting, and contribute to a culture of innovation and collaboration.
Ideal Qualifications and Experience
- Pursuit of a bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline.
- Experience working with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics, as well as working knowledge of databases and SQL.
- Preferred experience working with unstructured text and natural language processing, and a background in object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
- A strong portfolio of data science projects and a willingness to learn and adapt to new tools and technologies.
Why LMI?
As an Equal Opportunity Employer, LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. We offer a dynamic and inclusive work environment, with opportunities for professional growth and development.
Salary and Benefits
The estimated annual salary for this position is $85,000-$110,000, depending on experience and qualifications. We also offer a comprehensive benefits package, including health, dental, and vision insurance, 401(k) matching, and paid time off.
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