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Data Preprocessing Jobs in Pennsylvania (NOW HIRING)

Maintain data quality, preprocessing, version control, and standardized workflows. * Create visualizations, dashboards, reports, and analytical summaries. * Support data infrastructure and ...

Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control * Develop data organization standards and reporting frameworks * Generate clear data ...

Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control * Develop data organization standards and reporting frameworks * Generate clear data ...

Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control * Develop data organization standards and reporting frameworks * Generate clear data ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Machine Learning Tutor

Erie, PA ยท Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

IT Intern

Pittsburgh, PA ยท On-site

$14.50 - $19.50/hr

Follow quality processes for testing, documentation, and approvals for assigned work. * Assist in data collection, cleaning and data preprocessing, perform exploratory data analysis (EDA) to identify ...

Student Employee

Pittsburgh, PA ยท On-site

$14.50 - $19.50/hr

Follow quality processes for testing, documentation, and approvals for assigned work. * Assist in data collection, cleaning and data preprocessing, perform exploratory data analysis (EDA) to identify ...

Senior ML/MLOps Engineer

Pittsburgh, PA ยท On-site

$101K - $139K/yr

Develop robust and scalable pipelines for data preprocessing, model training, and deployment. . Strong programming skills in Python and in similar languages. . Familiarity with machine learning ...

Data preprocessing, feature engineering, and working with structured and unstructured datasets * Solid understanding of statistics, probability, optimization, and linear algebra * Design and ...

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Data Preprocessing information

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

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

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

What are some common challenges faced in a data preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

What job categories do people searching Data Preprocessing jobs in Pennsylvania look for?

The top searched job categories for Data Preprocessing jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Data Preprocessing jobs?

Cities in Pennsylvania with the most Data Preprocessing job openings:

Research Data Scientist

Pittsburgh, PA โ€ข On-site

System One
Business Consulting Servicesย โ€ขย 5 - 10K employees

Contractor

Re-posted 11 days ago


Job description

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Contract to Hire Hours: Standard business hours Overview: Join a cutting-edge lab to discover novel therapeutics that are seeking aseeking a Research Data Scientist to provide advanced analytical and computational support for multidisciplinary biomedical research. This role will develop data pipelines, statistical models, and AI/machine learning approaches to analyze and integrate complex biological datasets, including multi-OMICs, imaging, virology, and other multimodal data. Responsibilities:
  • Develop scalable, reproducible data analysis pipelines for complex biological datasets.
  • Apply statistical modeling, machine learning, and AI for predictive analytics and pattern recognition.
  • Integrate and analyze multi-OMICs, imaging, molecular, cellular, and other multimodal data.
  • Partner with investigators on study design, data strategy, and analytical approaches.
  • Maintain data quality, preprocessing, version control, and standardized workflows.
  • Create visualizations, dashboards, reports, and analytical summaries.
  • Support data infrastructure and collaborate across biology, engineering, and computational teams.

Requirements:

  • Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Statistics, Computer Science, or related field; Ph.D. preferred.
  • 3+ years of relevant data analysis, statistical modeling, or computational research experience.
  • Strong proficiency in Python and/or R and statistical analysis.
  • Experience with large, complex datasets and reproducible computational pipelines.
  • Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications:

  • Experience with multi-OMICs integration, machine learning/AI, advanced modeling, or quantitative imaging.
  • Familiarity with cloud/HPC/big-data environments and data visualization.
  • Biomedical or translational research experience.
  • Experience contributing to scientific publications, grants, technical reports, or regulatory-aligned data frameworks.
#M3 #LI-KM2 Ref: #558-Scientific


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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US