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Temporary Remote Computer Science Jobs in Queens, NY

Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Support Scientist I - AKTA

New York, NY ยท On-site +1

$70K - $85K/yr

This position reports to the Senior Manager, Scientific Support and is part of the Scientific Support team located in Marlborough, MA and will be a remote role. What you will do: * Provide pre- and ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a ...

Online Science Tutor

Manhattan, NY ยท On-site +1

$25/hr

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 ...

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 ...

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Temporary Remote Computer Science information

What is a temporary remote computer science job?

Temporary Remote Computer Science jobs are short-term positions in the field of computer science that can be performed from any location with internet access. These roles may include software development, data analysis, technical support, or research, and are often project-based or meant to cover a specific time period such as a contract or internship. They are ideal for individuals seeking flexibility or those looking to gain experience without a long-term commitment. Employers benefit by quickly filling skill gaps for specific projects without the need for onsite presence.

What are the key skills and qualifications needed to thrive as a temporary remote computer science professional?

To thrive as a Temporary Remote Computer Science professional, you need strong proficiency in programming languages (such as Python, Java, or C++), problem-solving abilities, and a relevant degree or coursework in computer science. Familiarity with collaboration tools (like Git, Jira, and Slack), cloud platforms, and sometimes certifications (such as AWS Certified Developer or CompTIA IT Fundamentals) is often required. Excellent time management, self-motivation, and clear communication skills are crucial for remote collaboration and meeting project deadlines. These skills and qualities are essential for delivering quality work independently, staying organized, and contributing effectively to distributed teams.

What are some common challenges faced when working as a temporary remote computer science professional, and how can they be managed?

Temporary remote computer science professionals often encounter challenges such as onboarding quickly to new teams, adapting to varying project requirements, and managing effective communication in a virtual environment. To succeed, it's important to proactively establish clear communication with supervisors, utilize collaboration tools, and seek out documentation or mentorship early on. Staying organized, being adaptable, and asking clarifying questions can help you integrate smoothly and deliver results, even on short-term assignments.

What are popular job titles related to Temporary Remote Computer Science jobs in Queens, NY?

For Temporary Remote Computer Science jobs in Queens, NY, the most frequently searched job titles are:

What job categories do people searching Temporary Remote Computer Science jobs in Queens, NY look for?

The top searched job categories for Temporary Remote Computer Science jobs in Queens, NY are:

Data Science Specialist

Manhattan, NY โ€ข Remote

Adidev Technologies Inc
IT Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 26 days ago


Key responsibilities

  • Enhance and debug large-scale applications for clients.

  • Apply machine learning, deep learning, and statistical methodologies to solve business problems.

  • Perform data wrangling, querying, and transforming data from various sources.


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