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Weekend Computer Science Environmental Jobs in California

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Weekend Computer Science Environmental information

Is a master's degree in env sci worth it?

A master's degree in environmental science can enhance qualifications for roles like a weekend computer science environmental position by providing specialized knowledge and skills, potentially leading to higher salaries and more advanced job opportunities. However, practical experience and certifications such as GIS or environmental impact assessments are also valuable in this field.

What is the difference between Weekend Computer Science Environmental vs Weekend Data Analyst?

AspectWeekend Computer Science EnvironmentalWeekend Data Analyst
Required CredentialsRelevant computer science or environmental certifications, degreesData analysis certifications, degrees in statistics or related fields
Work EnvironmentOutdoor or lab settings for environmental work; computer labs for CSOffice or remote settings, analyzing data on computers
Employer & Industry UsageEnvironmental agencies, tech companies with environmental projectsBusinesses, research firms, government agencies analyzing data
Common Search & ComparisonOften compared for weekend or part-time roles involving tech or environmentCompared for data analysis roles, but less so with environmental focus

The comparison between Weekend Computer Science Environmental and Weekend Data Analyst highlights differences mainly in work environment and certifications. While both roles involve computer skills, the environmental role emphasizes outdoor or lab work, whereas data analysts focus on office-based data processing. Understanding these distinctions helps job seekers choose roles aligned with their skills and interests.

What are the most commonly searched types of Computer Science Environmental jobs in California? The most popular types of Computer Science Environmental jobs in California are:
What cities in California are hiring for Weekend Computer Science Environmental jobs? Cities in California with the most Weekend Computer Science Environmental job openings:
Weekend Computer Science Environmental jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 9 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

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