Data Scientist

Data Scientist (Level I or II) – Springfield, MO

Brewer Science, Inc. is a major innovator of high‑technology solutions for the semiconductor / microelectronics markets. We are currently seeking a purpose‑driven candidate with an ownership mentality to fill this open position.

A Data Scientist is responsible for working cross‑functionally in the organization with different groups to assist in data collection plans, analyze, process, and model data, and teach data collection strategies and data analysis. Data scientists will work with subject‑matter experts to interpret results to create actionable plans for the company to optimize and improve our revenue streams. Additionally, data scientists will monitor and work toward ensuring the company shows a high statistical IQ in all outward‑facing interactions.

• Work with diverse data from a wide range of projects across the business unit.
• Perform data cleaning and manipulation to prepare datasets for analysis using techniques such as standardization and decomposition.
• Perform exploratory data analysis to identify correlations, data integrity issues, and missing data.
• Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists.
• Communicate data findings and suggest potential improvements to analyses and approaches.
• Automate ETL (extract, transform, load) processes and monitor their performance.
• Collaborate with scientists to understand data requirements and provide analysis support.
• Develop basic statistical visualizations to highlight multi‑dimensional correlations within data.
• Seek feedback from senior team members and business groups for improving data analysis processes.

Additional duties as Data Scientist II include:

• Perform exploratory data analysis to uncover insights, anomalies, and correlations from complex datasets.
• Automate and enhance existing data analysis pipelines and ensure quality control throughout the process.
• Code as necessary in support of statistical consulting, maintaining organized documentation of code, encouraging others’ documentation of code, and troubleshooting other’s code.
• Design, develop, and optimize advanced statistical models and machine learning (ML) and/or artificial intelligence (AI) algorithms.
• Apply and integrate a variety of data pre‑processing techniques to improve data quality and analysis outcomes.
• Participate in cross‑functional teams to identify opportunities for process improvement and data‑driven decision‑making.
• Conduct detailed analysis and help develop strategies to improve data accuracy and integrity.
• Provide support to junior data scientists and assist in mentoring them in analysis techniques and tools.
• Develop clear, visual reports that effectively communicate complex data findings to non‑technical stakeholders.

Applicants are encouraged to submit a link to their Git Hub profile showcasing relevant projects.

• Bachelor’s degree in statistics, computer science, mathematics, or a relevant field.
• Experience with SQL or a similar language preferred.
• Intermediate Python skills or a similar language preferred.
• Background in data analysis, parsing, and manipulation, or an equivalent combination of education and related experience.
• An equivalent combination of education and related experience.

• Bachelor’s Degree in Statistics, Computer Science, Mathematics, or a relevant STEM field.
• 2+ years of data querying experience such as SQL or a similar language.
• An equivalent combination of education and related experience.
• A master’s degree is preferred.

• Medical, dental, vision, life, long‑ and short‑term disability, identity theft protection, and pet insurance.
• Paid leave, including community service leave, wellness breaks, and other special leave.
• Employee stock ownership, 401(k), and bonus plans.
• Educational assistance & employee assistance program.

To apply for this position, please complete the online application. The position is open until filled. Screening will begin immediately.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor an employment visa for this position.

Equal Employment Opportunity - M/F/Disability/Veterans