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Remote Easiest Computer Science Jobs in Leander, 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

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Broader weekday and weekend availability is a plus Fast and reliable internet connection Computer ...

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Computer or laptop with microphone and camera. A stylus pen is highly recommended for clear ...

Data Engineer (Remote Opportunity)

Austin, TX · 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 ...

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 ...

Remote (USA) Employment Type: Full-Time Visa Type: USC / GC Only ✅ Must-Have Qualifications: ✔ ... Computer Science, Information Technology, or a related field

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Remote Easiest Computer Science information

What are remote easiest computer science jobs?

Remote easiest computer science jobs are positions in the tech field that can be performed from anywhere and typically require less experience or specialized knowledge compared to more advanced roles. Examples include data entry, website testing, technical support, QA testing, or junior web development. These roles often involve basic programming, troubleshooting, or administrative IT tasks, making them accessible to beginners or those looking to enter the tech industry. Flexibility and the ability to work from home make these jobs appealing for many seeking work-life balance.

What are some common challenges faced when working remotely in entry-level computer science roles, and how can they be managed?

Remote entry-level computer science roles often require strong self-discipline and time management, as it can be easy to get distracted without in-person supervision. Clear communication is also essential, since collaborating with team members and managers happens mainly through digital channels. To manage these challenges, it helps to establish a structured daily routine, proactively seek feedback, and use collaboration tools like Slack or Jira to stay connected with your team. Participating in regular check-ins and asking questions can also support your growth and ensure you remain aligned with project goals.

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

To thrive as a Remote Computer Science Professional, you need a solid understanding of programming languages, algorithms, and computer systems, often supported by a relevant degree or certifications. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools is typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for excelling in a remote environment. These skills and qualities ensure productivity, technical proficiency, and seamless teamwork despite physical distance.

What is the difference between Remote Easiest Computer Science vs Remote Web Developer?

AspectRemote Easiest Computer ScienceRemote Web Developer
Required CredentialsBasic programming knowledge, certifications optionalHTML, CSS, JavaScript skills, often certifications or courses
Work EnvironmentRemote, flexible hours, individual tasksRemote, collaborative, project-based
Industry UsageBroad tech industry, entry-level rolesWeb development agencies, startups, tech companies
Search & Comparison IntentLooking for easy entry-level tech jobsSeeking web development roles with manageable complexity

Remote Easiest Computer Science typically involves entry-level programming tasks with minimal certifications, suitable for beginners. Remote Web Developer roles focus on building websites using HTML, CSS, and JavaScript, often requiring specific skills but still accessible for newcomers. Both roles are remote and entry-level, but Web Developer positions are more specialized in web technologies, while Computer Science roles may cover broader programming tasks.

What are popular job titles related to Remote Easiest Computer Science jobs in Leander, TX? For Remote Easiest Computer Science jobs in Leander, TX, the most frequently searched job titles are:
What job categories do people searching Remote Easiest Computer Science jobs in Leander, TX look for? The top searched job categories for Remote Easiest Computer Science jobs in Leander, TX are:
What cities near Leander, TX are hiring for Remote Easiest Computer Science jobs? Cities near Leander, TX with the most Remote Easiest Computer Science job openings:
DATA SCIENTIST

Full-time

Posted 8 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