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Data Science Assistant Jobs in Alabama (NOW HIRING)

... . * Assist in developing and implementing data center policies, procedures, and best practices . Qualifications * Education: Associate's degree in IT, Computer Science, or related field; or ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

Position Information Position Title Research Assistant Professor-Genomic Sequencing Data Analysis ... Collaborate with wet-lab scientists to integrate genomic data with experimental results.

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data science assistants can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary competencies and stay current with industry trends.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What is a data scientist assistant?

A data scientist assistant supports data scientists by collecting, cleaning, and analyzing data, often using tools like Python or R. They help prepare reports, build models, and may need knowledge of statistics and data visualization to contribute effectively to data projects.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret results, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on complex problem-solving, model development, and domain expertise. Continuous learning and proficiency in programming languages like Python and tools such as machine learning frameworks remain essential for the role.

Which is better, DS or CS?

For a Data Science Assistant role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but familiarity with programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Alabama? The most popular types of Data Science jobs in Alabama are:
What are popular job titles related to Data Science Assistant jobs in Alabama? For Data Science Assistant jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Alabama look for? The top searched job categories for Data Science Assistant jobs in Alabama are:
Infographic showing various Data Science Assistant job openings in Alabama as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Sr. Quantum Information Scientist

Sr. Quantum Information Scientist

Leidos

Huntsville, AL

$107K - $195K/yr

Full-time

Retirement, PTO

Posted 13 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

55th of 426 rated business services


Job description

Leidos has a new and exciting opportunity for a Sr. Quantum Information Scientist in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!

The Senior Scientist will assist in quantum information science (QIS)-based research being performed at the FISTA, in Lawton, Oklahoma. The Senior Scientist will be tasked with supervising a technical team located at a Leidos research facility. The technical team will be developing a variety of demonstration systems for the customer. In addition to team supervision, the Scientist will also be tasked with participating in R&D along with various program development tasks. ***This position will be based in Huntsville, AL at the start of the position and the individual will be required to relocate to Lawton, OK within 8-12 month timeframe***

Responsibilities will include supervising and participation in the building and testing of quantum-based communications and sensing systems along with managing collaborations with sub-contractor partners at the University of Oklahoma.

  • Expertise in optical systems is not required but basic familiarity with optics is preferred.

  • The position may require short periods of travel within the US., primarily to other Leidos facilities in DC and Huntsville, AL.

  • Potential employee should be comfortable communicating technical work, both orally and written to subject matter experts and non-technical audiences.

  • Familiarity with proposal processes and white paper writing is a plus.

  • Presenting complex material to non-technical governmental and military audiences.

  • Provide regular updates to the group lead in Huntsville, AL.

Required Qualifications:

  • Must hold a PhD in physics, optics, quantum information science (QIS), or some related field and 4+ years of related work experience.

  • Candidate must be proficient with experimental quantum mechanical systems used in sensing or communications applications.

  • Must be able to obtain a TS/SCI security clearance.

  • Applicant must be able to work in Huntsville, AL for 8-12 month timeframe and then relocate to Lawton, OK.

  • Must be a US Citizen.

Preferred Qualifications:

  • Expertise in an applicable field of quantum physics/QIS, either theoretical or experimental.

  • Familiarity with Python, Matlab, Mathematica, LabVIEW, C#, or any optical modeling program.

  • Experience in the theory and design of experimental quantum systems for sensing/communications applications.

  • Experience in setting up lab equipment for optical and quantum experiments.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:May 28, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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