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Entry Level Data Science H1B Jobs (NOW HIRING)

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics ...

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ... Filing of H1b and Green card * Full time position Candidate who are missing the required skills ...

Entry Level Data Scientiest

Manchester, NH · On-site

$16.50 - $22.25/hr

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ... Benefits: On Job Technical support E- verified Filing of H1b and Green card Full time position ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

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Entry Level Data Science H1B information

What is an entry level data science H1B?

An Entry Level Data Science H1B position refers to a data science job in the United States that is open to recent graduates or those with limited professional experience, and for which the employer is willing to sponsor an H1B visa. These roles typically involve tasks such as data cleaning, exploratory data analysis, building basic models, and reporting insights under supervision. The H1B visa allows skilled foreign workers to be employed in specialty occupations, including data science, for a specified period. Candidates usually need a relevant degree in fields like computer science, statistics, or mathematics, and some proficiency in programming and data analysis tools.

What are the key skills and qualifications needed to thrive as an entry level data scientist on an H1B visa?

To thrive as an Entry Level Data Scientist, you generally need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools like SQL, machine learning libraries (scikit-learn, TensorFlow), and data visualization platforms (Tableau, Power BI) is commonly required, and certifications such as Google Data Analytics or IBM Data Science can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable business decisions. These skills and qualifications are crucial for extracting meaningful insights from data and contributing effectively to organizational goals in a technical and collaborative environment.

What are typical challenges faced by entry level data scientists working on an H1B visa, and how can these be addressed?

Entry-level data scientists on H1B visas often encounter challenges such as needing to quickly adapt to new tools, balancing project deadlines, and navigating workplace communication in a new cultural environment. Additionally, they may face pressure to demonstrate value early, given visa-related job security concerns. Building strong relationships with team members, seeking mentorship, and proactively asking for feedback can help overcome these challenges. Participating in team meetings and collaborating on cross-functional projects will also support integration and professional growth.
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Infographic showing various Entry Level Data Science H1B job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

Posted 4 days ago


Job description

Job Title: Entry-Level Data Analyst

Location: Chicago, IL

Job Type: Only W2

Job Description:

·       Collect, clean, and analyze data from multiple sources.

·       Write SQL queries to extract and manipulate data.

·       Create reports and dashboards using tools such as Power BI or Tableau.

·       Perform data validation and identify data quality issues.

·       Analyze trends, patterns, and business performance metrics.

·       Prepare daily, weekly, and monthly reports.

·       Support senior analysts and business teams with ad-hoc data requests.

·       Maintain and update datasets, reports, and dashboards.

·       Communicate analytical findings to technical and non-technical stakeholders.

·       Document data sources, processes, and reporting procedures.

·       Assist with automating repetitive reporting tasks.

Required Skills:

·       SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries, aggregations.

·       Excel — PivotTables, VLOOKUP/XLOOKUP, formulas, charts, data cleaning.

·       Basic understanding of data analysis and statistics.

·       Familiarity with Power BI or Tableau.

·       Good analytical and problem-solving skills.

·       Strong attention to detail.

·       Good written and verbal communication skills.

Preferred Skills:

·       Python, especially Pandas and NumPy.

·       Power BI/DAX or Tableau.

·       Basic knowledge of relational databases.

·       Understanding of ETL/data pipelines.

·       Basic knowledge of statistics.

·       Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·       Experience working with large datasets.

Qualifications:

·       Bachelor’s degree in computer science, Data Analytics, Statistics, Mathematics, Business Analytics, Engineering, or a related field.