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Remote Computer Science Winter Internship Jobs in California

A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science ... 💻 Remote-first role (US only) * 🧘 Medical, dental, and vision insurance * 📈 401(k) ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A master's degree or PHD in computer science, machine learning, or math/statistics, relevant internship experience is a plus * A passion for applying mathematical models and computer science ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A master's degree or PHD in computer science, machine learning, or math/statistics, relevant internship experience is a plus * A passion for applying mathematical models and computer science ...

Bachelors or Graduate Degree in Computer Science, or a related field (not a hard requirement for an ... Strong track record in programming (industry experience, internships, competitions, open-source ...

Quartz ranked us the #1 best company for remote workers Responsibilities Workato's AI Research Lab ... MS/PhD in Computer Science, Machine Learning, or a related field. * 5+ years leading applied ...

Quartz ranked us the #1 best company for remote workers Responsibilities Workato's AI Research Lab ... MS/PhD in Computer Science, Machine Learning, or a related field. * 5+ years leading applied ...

This includes remote caching, remote execution, target identification and selection, etc. * Operate ... Bachelor's degree in computer science, a related field, or an equivalent combination of education ...

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Remote Computer Science Winter Internship information

What is the difference between Remote Computer Science Winter Internship vs Remote Software Developer Intern?

AspectRemote Computer Science Winter InternshipRemote Software Developer Intern
Required CredentialsTypically pursuing a degree in Computer Science or related fieldSame as CS internship, often students or recent graduates
Work EnvironmentRemote, project-based, often includes mentorshipRemote, coding-focused, team collaboration
Employer & Industry UsageTech companies, startups, research labsTech firms, software companies, startups
Common Search & ComparisonYesYes

The Remote Computer Science Winter Internship and Remote Software Developer Intern roles share similar credentials and work environments, both targeting students or recent grads in tech fields. The internship often emphasizes broader CS concepts, research, and mentorship, while the software developer internship focuses more on coding and software development tasks. Both are popular for gaining industry experience remotely during winter seasons.

What job categories do people searching Remote Computer Science Winter Internship jobs in California look for? The top searched job categories for Remote Computer Science Winter Internship jobs in California are:
What cities in California are hiring for Remote Computer Science Winter Internship jobs? Cities in California with the most Remote Computer Science Winter Internship job openings:
Data Science

Full-time

Posted 18 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