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Remote Construction Science Jobs in California (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

... 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 ...

NV5

Senior Stormwater/Environmental Scientist-QSD

Torrance, CA · On-site +1

$86K - $116K/yr

... and construction). This position is available for our Torrance, CA office and offers a remote ... related sciences field and at least 7+ years of demonstrated consulting experience in Southern ...

Verdantas

Staff Scientist III

San Ramon, CA · On-site +1

$65K - $85K/yr

This position is remote , but must be local to Santa Rosa, Sacramento, Fresno, San Ramon, or ... Familiarity with the California Stormwater Construction General Permit and the California ...

AECOM

T&D Project Manager (Remote U.S.)

San Diego, CA · On-site +1

... scientists, digital innovators, program and construction managers and other professionals ... This position will be on a REMOTE basis. The successful candidate will: * Use their strong working ...

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All JobsConstruction Science JobsRemote Construction Science JobsRemote Construction Science Jobs in California

Remote Construction Science information

What is the difference between Remote Construction Science vs Remote Civil Engineering?

AspectRemote Construction ScienceRemote Civil Engineering
Required CredentialsBachelor's in Construction Science, certifications in project management or safetyBachelor's in Civil Engineering, PE license often preferred
Work EnvironmentProject planning, design, and coordination remotely; site visits occasionallyDesign, analysis, and project management remotely; site visits as needed
Employer & Industry UsageConstruction firms, project management companies

Remote Construction Science focuses on project planning, design, and management within the construction industry, often involving coordination and safety protocols. Remote Civil Engineering emphasizes designing and analyzing infrastructure projects like roads, bridges, and buildings, with a similar remote work setup. Both roles require relevant degrees and certifications, but their core responsibilities differ, with Construction Science more project management-oriented and Civil Engineering more technical design-focused.

What are the most commonly searched types of Construction Science jobs in California?

The most popular types of Construction Science jobs in California are:

What are popular job titles related to Remote Construction Science jobs in California?

For Remote Construction Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Construction Science jobs in California look for?

The top searched job categories for Remote Construction Science jobs in California are:

What cities in California are hiring for Remote Construction Science jobs?

Cities in California with the most Remote Construction Science job openings:

Remote Construction Science jobs near you

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Re-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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