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Entry Level Data Scientist Remote Jobs in Alabama

Your day at NTT DATA The Data Centre Remote Field Service Engineer (L1) is an entry level engineering role, operating in region and responsible for providing a professional remote technical support ...

A bachelor's degree in computer science or related field or commensurate, documented experience in ... Turning complex operational data into actionable intelligence, Octave connects expertise, real ...

Virtual Assistant

Montgomery, AL · Remote

$17.75 - $24/hr

... remote administrative support to our leadership and operations teams ... In this role, you will manage emails, schedule meetings, handle data entry, and perform a variety ...

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... Maintain accurate and timely opportunity, pipeline, and forecast data in CRM. * Leverage available ...

This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Bachelor's Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or ...

This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Bachelor's Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or ...

This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Bachelor's Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or ...

This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Bachelor's Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or ...

This is a remote-based position within the Continental US. Our Company Founded in 1926, Maxor is a ... Bachelor's Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

You will need to become an expert in providing data support and analysis to help define strategy ... Bachelor's degree in business, computer science, mathematical disciplines, finance, economics, or ...

You will need to become an expert in providing data support and analysis to help define strategy ... Bachelor's degree in business, computer science, mathematical disciplines, finance, economics, or ...

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Entry Level Data Scientist Remote information

What are some common challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulties in understanding team expectations, and staying motivated without in-person supervision. To overcome these, it's helpful to proactively communicate with teammates and supervisors, seek regular feedback, and participate in virtual team meetings or collaborative coding sessions. Leveraging online communities and internal chat channels can also help build connections and access guidance when needed, ensuring continued learning and integration into the team.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and make strategic decisions that require domain expertise and critical thinking. Skills in programming, statistical analysis, and machine learning remain essential for the role, especially in an evolving AI landscape.

Is 40 too late for data science?

Entry level data scientists can start at any age, including 40, as the field values skills like programming, statistics, and data analysis that can be learned at any stage. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and building a portfolio of projects.

How can I make $2000 a week working from home?

An entry level data scientist working remotely can increase earnings by gaining in-demand skills like machine learning and data analysis, obtaining relevant certifications, and working on multiple freelance projects or consulting. Building a strong portfolio and leveraging platforms like Upwork or Kaggle can also help secure higher-paying opportunities. Earning $2000 weekly typically requires consistent project work and advanced skills in data tools and programming languages.

Can I get a data scientist job with no experience?

Entry level data scientist roles often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such positions. Employers may also consider internships or bootcamps as valid experience for entry level roles.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist (Remote), and why are they important?

To thrive as an Entry Level Data Scientist (Remote), you need a solid foundation in statistics, programming (especially Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow), as well as experience with data visualization platforms, is often expected. Strong problem-solving skills, self-motivation, and clear communication are crucial for collaborating across teams and working independently in a remote environment. These skills and qualities ensure you can effectively extract insights from data and contribute meaningfully to business decisions, even without direct in-person supervision.

What is an Entry Level Data Scientist (Remote)?

An Entry Level Data Scientist (Remote) is a professional who analyzes and interprets complex digital data to help companies make informed decisions, typically working from a location outside of the company's physical office. They use statistical techniques, machine learning, and data visualization tools to uncover insights from large datasets. Entry level positions are designed for individuals with limited professional experience, often recent graduates or those transitioning into the field. Remote roles offer flexibility, enabling employees to work from home or any other location with internet access.
What are popular job titles related to Entry Level Data Scientist Remote jobs in Alabama? For Entry Level Data Scientist Remote jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Remote jobs in Alabama look for? The top searched job categories for Entry Level Data Scientist Remote jobs in Alabama are:
What cities in Alabama are hiring for Entry Level Data Scientist Remote jobs? Cities in Alabama with the most Entry Level Data Scientist Remote job openings:
Infographic showing various Entry Level Data Scientist Remote job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Data Centre Remote Field Service Engineer (L1)

Nttlimited

Remote

Full-time

Posted 6 days ago


Job description

Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can continue to grow, belong, and thrive.
Your career here is about believing in yourself and seizing new opportunities and challenges. It's about expanding your skills and expertise in your current role and preparing yourself for future advancements. That's why we encourage you to take every opportunity to further your career within our great global team.

Your day at NTT DATA
The Data Centre Remote Field Service Engineer (L1) is an entry level engineering role, operating in region and responsible for providing a professional remote technical support service to clients by identifying and resolving technical incidents and problems.
Through pre-emptive service incident and resolution activities, this role will restore service to clients by driving incidents to an effective resolution and ensuring all requests, process events and resolution incidents result in zero missed service level agreement (SLA) conditions.

Key responsibilities:
  • Maintains the support process and ensures that requests for support are handled according to the procedures.
  • Uses service assurance software and tools to investigate and diagnose problems, collects performance statistics and creates reports, working with users, other staff and suppliers as appropriate.
  • Identifies and resolves problems following agreed procedures.
  • Carries out agreed maintenance tasks.
  • Ensures usage of knowledge articles in incident diagnosis and resolution and assist with updating as and when required.
  • Performs defined tasks to monitor service delivery against service level agreements and maintains records of relevant information.
  • Analyses service records against agreed service levels regularly to identify actions required to maintain or improve levels of service, and initiates or reports these actions.
  • Prioritises and diagnoses incidents according to agreed procedures.
  • Investigates causes of incidents and seeks resolution.
  • Escalates unresolved incidents and follows up until incident is resolved.
  • Provides service recovery, following resolution of incidents.
  • Documents and closes resolved incidents according to agreed procedures.
  • Maintains secure, accurate, complete, and current configuration on configuration items (CIs).
  • Applies tools, techniques and processes to track, log and correct information related to CIs, ensuring protection of assets and components from unauthorized change, diversion, and inappropriate use.
  • Remotely investigates and identifies root cause of incidents and assist with the implementation of agreed remedies and preventative measures.
  • Maintains knowledge of specific specialisms, provides detailed advice regarding their application.
  • Ensures efficient and comprehensive resolution of incidents, including ensuring that repairs are carried out by coordinating product requests, working with other team members.
  • Provides continuous feedback to clients and affected parties and update all systems, portals and ticketing tools as prescribed by standard operating procedures.
  • Identifies problems and errors prior to or when they occur.
  • Logs all such incidents in a timely manner with the required level of detail with all the necessary.
  • Cooperates with all stakeholders including client IT environments, vendors, carriers and colleagues to expedite diagnosis of errors and problems and to identify a resolution.

Knowledge, Skills and Attributes:
  • Ability to communicate and work across different cultures and social groups.
  • Ability to plan activities and projects well in advance and takes into account possible changing circumstances.
  • Ability to maintain a positive outlook at work.
  • Ability to work well in a pressurized environment.
  • Ability to work hard and put in longer hours when it is necessary.
  • Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting.
  • Ability to adapt to changing circumstances.
  • Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey.
  • Entry level knowledge of vendor technologies, such as (but not limited to) Cisco, EMC, Dell Avaya etc.
  • Entry level knowledge on management agent concepts, redundancy concepts and remote console architecture within supported technical domain.

Academic qualifications and certifications:
  • Bachelor's degree or equivalent in Information Technology or Computing or related field.
  • Associate level certification in different Data Centre technologies such as Cisco, NetApp, EMC- Ex: CCNA (DC) etc.

Required experience:
  • Entry level experience in call center routing technologies, voice over IP technologies, Security/firewalls, Networking (routing, switching, distribution, core and access layers) and IT infrastructure (storage, backup, computing, server virtualization and etc.).
  • Entry level experience in technical support to clients.
  • Entry level experience in diagnosis and troubleshooting.
  • Entry level experience providing remote support in Data Center technologies.
  • Entry level experience in relevant technology.

Workplace type:

On-site Working

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Accelerate your career with us. Apply today