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Entry Level Data Science H1B Jobs (NOW HIRING)

Noblesoft Solutions

Data Scientist

Jacksonville, FL

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 ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

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 ...

Sonsoft Inc

Data Scientist (No H1B)

Chicago, IL

Demonstrated experience in machine learning, predictive modeling, or statistics / data mining using ... No H1B candidates, please. * Please mention your Visa Status in your email or resume . ** All your ...

GainAm

Entry Level Data Scientist job

Hicksville, NY · On-site

$70K/yr

... scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems Assess project requirements and develop data ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume

SynergisticIT

Jr. Java Programmer (Remote)

Toledo, OH · On-site

Entry-Level Data Scientist / Java Developer -- Choose a Path With Support If you are applying everywhere but not getting responses, it may be time to stop guessing and start building a structured ...

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Entry Level Data Science H1B information

What is an Entry Level Data Science H1B position?

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, and why are they important?

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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Entry Level Data Science H1B jobs near you
Infographic showing various Entry Level Data Science H1B job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha Careers

Columbia, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means...), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.

A day in the life:
You'll likely start your day at a customer location near our Red Alpha offices, checking to see if there are any important items that have just come up. If not, you'll move on to improving a dashboard or other data product that you're responsible for, or perhaps produce a weekly output the customer is expecting. You'll be using R or Python a lot, but also Git, Mongo, some commercial software and several other usual suspects. Once a week you'll attend a team meeting (with 4 others) to prioritize things, and you'll have a lot of interaction with the team otherwise, typically several times per day. You'll need your sense of humor and need to be willing to leave your ego at the door.
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:
  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques...!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.
These are important skills to have, but not necessarily mandatory:
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React

The total package:
Our total compensation package was strategically designed with our members in mindwith the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as wecontinue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselvesandtheir dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary andbenefits such as health, life/disability, 401k, paid time off,professional development, and generous bonus programs. Please visit ourbenefitstab for additional information.
Salary Range:
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience,actual level of expertise, and the responsibilities of the role itself.
  • Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are:
    • Entry-level: $95,000 - $135,000
    • Mid-level: $110,000 - $155,000
    • Senior-level: $135,000 - $235,000
Some of our additional perks and benefits include:
  • Retire soonerthan planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
  • Have a career AND a life:Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best:As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
  • Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as webring digital transformation to the fight!

Employment Type: Full-Time

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