Data Scientist in Swadlincote

Location: Rolla, MO

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

Summary: A Data Scientist is responsible for working cross‑functionally in the organization with different groups to assist in data collection plans, analyse, process, and model data, and teach data collection strategies and data analysis. Data scientists will work with subject‑matter experts to interpret the results to create actionable plans for the company to optimise 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.

Responsibilities:

• Data Scientist I: 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 standardisation and decomposition. Perform exploratory data analysis to identify correlations, data integrity issues, and missing data. Analyse 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 visualisations to highlight multi‑dimensional correlations within data. Seek feedback from senior team members and business groups for improving data analysis processes.
• Data Scientist II: Same duties as Data Scientist I. 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 organised documentation of code, encouraging others to document code, and troubleshooting others’ code. Design, develop, and optimise 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.

Education & Credentials:

• Applicants are encouraged to submit a link to their GitHub profile showcasing relevant projects.
• Data Scientist I: Bachelor’s degree in statistics, computer science, mathematics, or a relevant field. Experience with SQL or similar language preferred. Intermediate Python skills or similar language preferred. Background in data analysis, parsing, and manipulation. An equivalent combination of education and related experience.
• Data Scientist II: Bachelor’s Degree in Statistics, Computer Science, Mathematics, or a relevant STEM field. 2+ years of data querying experience such as SQL or similar language. An equivalent combination of education and related experience. A master’s degree is preferred.

Benefits:

• 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.

Equal Employment Opportunity – M/F/Disability/Veterans. Brewer Science uses E‑Verify ® to verify the employment eligibility of newly hired employees.