Data Scientist
SURVICE Engineering Company
- Aberdeen Proving Ground, MD
- $105,000-130,000 per year
- Permanent
- Full-time
- Location: Aberdeen Proving Ground, Maryland
- Security Clearance: Active Clearance or Eligible to Obtain - U.S. citizenship required
- Salary: $105,000 - $130,000 Depending on Experience and Education
- Travel: 10%
- Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.
- Leverage data science techniques to design scalable pipelines, analyze complex datasets, and drive data-driven decisions. This is a unique opportunity to contribute to cutting-edge research by applying computational tools, machine learning, and statistical analysis to experimental data. Data Pipeline and Workflow Development
- Design and implement robust, automated workflows for processing and analyzing diverse data types.
- Optimize data pipelines to improve efficiency, scalability, and reproducibility.
- Leverage high-performance computing (HPC) or cloud resources to handle large datasets and complex analyses.
- Data Analysis and Modeling
- Clean, structure, and prepare data for analysis, ensuring accuracy and consistency.
- Apply advanced statistical techniques and machine learning models to identify patterns and extract insights.
- Collaborate with stakeholders to develop and refine predictive models tailored to research goals. Feature Engineering and Innovation
- Develop novel approaches for feature extraction, combining domain expertise with computational methods.
- Engineer actionable features from raw data to enhance the performance of predictive models.
- Implement custom algorithms to address unique research challenges. Visualization and Communication
- Create clear and impactful visualizations to present findings and guide decision-making.
- Communicate results through reports, presentations, and discussions with cross-functional teams.
- Document workflows and methodologies to ensure knowledge transfer and reproducibility.
Bachelor's Degree in Computer Science related field and 2+ years of relevant experience. Exceptional candidates with less experience will be considered. Candidates are not required to possess all qualifications; if you possess some of the desired qualifications, please apply.
- Proficiency in Python, R, or similar programming languages.
- Experience with data visualization tools like Matplotlib, Seaborn, or Tableau.
- Strong foundation in machine learning, data modeling, and statistical analysis.
- Familiarity with handling complex datasets from experimental or scientific contexts.
- Knowledge of HPC, cloud computing, or distributed systems for large-scale data processing.