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Entrylevel Junior Data Scientist Jobs in Wisconsin

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data ... Science, Data Engineering, Information Systems, or related field (or equivalent experience ...

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Junior IT Developer

Brookfield, WI · On-site

$63K - $82K/yr

Associate's or Bachelor's degree in Information Technology, Computer Science, or a related field ... Exposure to dashboards or data work (Power BI, Snowflake, SQL tuning) preferred. * Exposure to ...

Junior IT Developer

Brookfield, WI

$63K - $82K/yr

Associate's or Bachelor's degree in Information Technology, Computer Science, or a related field ... Exposure to dashboards or data work (Power BI, Snowflake, SQL tuning) preferred. * Exposure to ...

Junior IT Developer

Brookfield, WI · On-site

$63K - $82K/yr

Associate's or Bachelor's degree in Information Technology, Computer Science, or a related field ... Exposure to dashboards or data work (Power BI, Snowflake, SQL tuning) preferred. * Exposure to ...

WI · On-site

$55 - $75/hr

... advances science backed beauty. Guided by purpose, we are equally committed to sustainability ... This position is ideal for an entry-level engineer eager to specialize in enterprise e-commerce ...

New

WI · On-site

$70 - $90/hr

Junior Software Engineer - 5G NTN RAN (L2/L3) Our mission is supported by an ambitious vertically ... development & data science. In 2025, Aerospacelab counts offices in Louvain-la-Neuve (Belgium ...

New

Finance Data Analyst

Madison, WI · On-site

$86K - $95K/yr

Leads knowledge-sharing sessions with junior analysts. * Build relationships with peers, such as ... Bachelor's degree in Information Systems, Computer Science, Data Science, business or related field ...

Leads knowledge-sharing sessions with junior analysts. * Build relationships with peers, such as ... Bachelor's degree in Information Systems, Computer Science, Data Science, business or related field ...

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Entrylevel Junior Data Scientist information

What is the difference between Entrylevel Junior Data Scientist vs Data Analyst?

AspectEntrylevel Junior Data ScientistData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer internshipsBachelor's in Statistics, Mathematics, Business, or related field
Work EnvironmentCollaborates with data scientists and engineers; focuses on modeling and algorithmsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, startups, finance, healthcareRetail, marketing, finance, consulting

Entrylevel Junior Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data through reports and visualizations. While both roles require a strong foundation in statistics, Junior Data Scientists typically need more technical skills in coding and modeling, whereas Data Analysts focus on data interpretation and communication.

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Jr. Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Re-posted 27 days ago


Job description

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that enable analytics, reporting, and data-driven decision-making across the organization.Key ResponsibilitiesAssist in building and maintaining data pipelines (ETL/ELT)Support data ingestion from internal and external sourcesHelp clean, transform, and validate data for analytics useMonitor data jobs and troubleshoot data pipeline issuesMaintain data models, schemas, and documentationPartner with data analysts and stakeholders to understand data needsSupport data quality, reliability, and governance initiativesFollow best practices for version control, testing, and deploymentQualificationsBachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)Experience with SQL and relational databasesFamiliarity with at least one programming language (Python preferred)Basic understanding of data warehousing conceptsExperience with Git or version control toolsStrong problem-solving and analytical skillsPreferredExposure to cloud platforms (AWS, Azure, or GCP)Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc.)Understanding of data lakes and modern data stack conceptsExperience working with large or complex datasets