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Data Science Jobs in Berkeley, MO (NOW HIRING)

PB consulting

Data Scientist

Washington Park, IL · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Dupo, IL · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Crystal Lake Park, MO · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Glendale, MO · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Black Jack, MO · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

East Saint Louis, IL

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Wilbur Park, MO · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Saint Louis, MO · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Saint Louis, MO

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Madison, IL · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Hartford, IL · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Fairview Heights, IL · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Clayton, MO · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Collinsville, IL · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Saint Ann, MO · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Breckenridge Hills, MO

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Lovejoy, IL · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

PB consulting

Data Scientist

Flordell Hills, MO · On-site

Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems. * Apply advanced statistical, mathematical, and analytical techniques to model ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Berkeley, MO

Data Science information

See Berkeley, MO salary details

$35.2K

$115.2K

$184.4K

How much do data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science in Berkeley, MO is $115,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,600.00 per year, depending on experience, location, and employer.

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 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 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 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.

Is a data scientist in high demand?

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 jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What cities near Berkeley, MO are hiring for Data Science jobs?

Cities near Berkeley, MO with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Berkeley, MO as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $115,202 per year, or $55.4 per hour.

Data Scientist

PB consulting

Washington Park, IL • On-site

Full-time

Posted 15 days ago

Key responsibilities

  • Analyze large and complex structured and unstructured datasets to identify trends, patterns, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address business problems.

  • Collaborate with data and business teams to understand requirements and deliver analytical models and solutions.

Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities

  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience

  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.

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