2

Remote Computer Science Apprenticeship Jobs in Austin, TX

S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

Data Engineer (Remote Opportunity)

Austin, TX ยท On-site +1

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. * 4+ years of experience designing, developing, and supporting data engineering solutions in ...

New

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Bachelor's degree in Computer Science or equivalent. * Experience: * 8+ years of programming ...

AI Engineer

Austin, TX ยท On-site +1

$140K - $200K/yr

Remote (United States) Compensation: $140,000 - $200,000 base Visa Sponsorship: None available ... Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative ...

Computer Science, Computer Information Systems, or higher education preferred. Comfortable ... Team player with the ability to work in virtual and remote teams. Excellent time and task ...

next page

Showing results 1-20

Remote Computer Science Apprenticeship information

What are the main challenges faced by remote computer science apprentices, and how can they be addressed?

Remote computer science apprenticeships often come with unique challenges such as limited face-to-face interaction, difficulty in accessing immediate support, and the need for self-discipline in managing time and tasks. To address these, it's important to proactively communicate with mentors through scheduled video meetings, participate in online team discussions, and utilize project management tools to stay organized. Seeking feedback regularly and engaging with online communities can also help bridge the gap and create a supportive learning environment.

What is the difference between Remote Computer Science Apprenticeship vs Remote Software Developer?

AspectRemote Computer Science ApprenticeshipRemote Software Developer
Required CredentialsTypically no prior experience, some programs accept beginnersOften requires a degree or proven coding skills
Work EnvironmentTraining-focused, mentorship, learning phaseProject-focused, independent coding tasks
Employer & Industry UsageUsed by tech companies for entry-level trainingUsed by companies for ongoing development roles

The Remote Computer Science Apprenticeship is designed for beginners entering the tech industry, emphasizing training and mentorship. In contrast, a Remote Software Developer role involves applying skills to real projects, often requiring prior knowledge. While apprenticeships focus on learning, software developer positions are more about executing development tasks remotely.

What is a Remote Computer Science Apprenticeship?

A Remote Computer Science Apprenticeship is a structured training program that allows individuals to learn computer science skills and gain real-world experience while working from a location outside of a traditional office, usually from home. Apprentices work under the guidance of experienced mentors, participate in projects, and develop both technical and soft skills relevant to the field. This model offers flexibility and accessibility, making it possible for people from various backgrounds or locations to enter the tech industry. Apprenticeships typically combine hands-on work with coursework or online learning, preparing participants for full-time roles in software development, IT, or related fields.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Apprentice, and why are they important?

To thrive as a Remote Computer Science Apprentice, you need a foundational understanding of programming languages, algorithms, and data structures, often supported by coursework or relevant certifications. Familiarity with code collaboration tools like Git, integrated development environments (IDEs), and basic cloud services is typically expected. Strong problem-solving, self-motivation, and effective communication are crucial soft skills, especially when working remotely. These abilities ensure you can learn efficiently, contribute to projects, and collaborate with mentors and teams in a distributed work environment.
What are popular job titles related to Remote Computer Science Apprenticeship jobs in Austin, TX? For Remote Computer Science Apprenticeship jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Apprenticeship jobs in Austin, TX look for? The top searched job categories for Remote Computer Science Apprenticeship jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Computer Science Apprenticeship jobs? Cities near Austin, TX with the most Remote Computer Science Apprenticeship job openings:
DATA SCIENTIST

Full-time

Re-posted 22 days ago


Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME