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Entry Level Data Science H1B Jobs (NOW HIRING)

Jobs / Entry-Level Data Scientist - AI Chatbot Development Entry-Level Data Scientist - AI Chatbot ... science. #J-18808-Ljbffr

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst ... Qualifications Bachelor s degree in Data Science, Computer Science, Economics, 0 2 years of ...

Data Scientist - NYC

Boston, MA ยท On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

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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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Entry-Level Data Scientist - AI Chatbot Development

Washington, DC โ€ข On-site

Other

Posted 9 days ago


Job description

Jobs / Entry-Level Data Scientist โ€“ AI Chatbot Development

Entry-Level Data Scientist โ€“ AI Chatbot Development

Full-time

About the Role

The Asia Group (TAG) is now accepting applications for a Entry-Level Data Scientist โ€“ AI Chatbot Development to join our Team. This role will be based in Washington, DC.The Asia Group is a dynamic strategic advisory firm that positions clients, ranging from Fortune 100 multinationals to innovative startups, for success in established and emerging markets across the Indo-Pacific region. Our team includes a diverse mix of partners and staff possessing decades of government, private sector, academia, and military experience. Our corporate philosophy emphasizes teamwork, collegiality, creativity, and entrepreneurialism. Our operational culture is fast paced and demanding yet strives to be flexible and fun. Beyond the pursuit of professional success, our leadership actively embraces the challenges and opportunities associated with growing a highly successful firm, including by investing time and energy in mentoring and leading staff.The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a recent graduate or someone changing careers who is looking to gain hands-on experience in a fast-paced environment. The successful candidate will have a strong foundation in statistical analysis and natural language processing (NLP), along with a desire to learn and grow within the rapidly evolving field of AI and data science.

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