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Data Science Jobs in Rolla, MO (NOW HIRING)

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... Responsibilities : • Work with diverse data from a wide range of projects across the business ...

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... A Data Scientist is responsible for working cross functionally in the organization with different ...

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... A Data Scientist is responsible for working cross functionally in the organization with different ...

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... Process and analyze experimental data using statistical methods and software tools to draw ...

Quality Engineer Intern

Rolla, MO · On-site

$16.50 - $21.50/hr

Compile and analyze data and assist in the production of data packages for change control and customer notifications. * Complete other duties as requested. * Participate in Brewer Science's Intern ...

Quality Engineer Intern

Rolla, MO

$16.50 - $21.50/hr

Compile and analyze data and assist in the production of data packages for change control and customer notifications. * Complete other duties as requested. * Participate in Brewer Science's Intern ...

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... They perform applicable tests, data entry, documentation, and other assigned tasks. They can ...

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor ... Support privacy, regulatory, and trade compliance activities, including data handling and retention ...

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Data Science information

See Rolla, MO salary details

$36.9K

$120.7K

$193.2K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science in Rolla, MO is $120,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $133,700.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Rolla, MO? The most popular types of Data Science jobs in Rolla, MO are:
What are popular job titles related to Data Science jobs in Rolla, MO? For Data Science jobs in Rolla, MO, the most frequently searched job titles are:
What cities near Rolla, MO are hiring for Data Science jobs? Cities near Rolla, MO with the most Data Science job openings:
Infographic showing various Data Science job openings in Rolla, MO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $120,668 per year, or $58 per hour.

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor / microelectronics markets. They are currently seeking a purpose-driven candidate to fill an open position as a Data Scientist, responsible for working cross functionally to assist in data collection plans, analyze and model data, and create actionable plans to optimize revenue streams.
Responsibilities:
• 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.
• 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 other’s 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.
Qualifications:
Required:
• Applicants must be authorized to work for any employer in the U.S.
• Bachelor’s degree in statistics, computer science, mathematics, or relevant field for Data Scientist I.
• Experience with SQL or similar language preferred for Data Scientist I.
• Intermediate Python skills or similar language preferred for Data Scientist I.
• Background in data analysis, parsing, and manipulation for Data Scientist I.
• An equivalent combination of education and related experience for Data Scientist I.
• Bachelor’s Degree in Statistics, Computer Science, Mathematics, or relevant STEM field for Data Scientist II.
• 2+ years of data querying experiences such as SQL or similar language for Data Scientist II.
• An equivalent combination of education and related experience for Data Scientist II.
Preferred:
• A master's degree is preferred for Data Scientist II.
• Applicants are encouraged to submit a link to their GitHub profile showcasing relevant projects.
Company:
Brewer Science is a developer and manufacturer of semiconductors and microelectronic devices. Founded in 1981, the company is headquartered in Rolla, USA, with a team of 201-500 employees. The company is currently Growth Stage.