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Remote Support Scientist Jobs in California (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

... support products across a variety of industries and consumer/enterprise clients. Swish Analytics is ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

... support products across a variety of industries and consumer/enterprise clients. Swish Analytics is ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

ZEISS

Global Technical Escalation Engineer

Dublin, CA · On-site +1

As the pioneers of science, ZEISS handles the ever-changing environments in a fast-paced world ... Provide support through ticketing systems, telephone, email, and remote login tools. * Address ...

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Osv_edf

Senior Scientist, Oceans Science

San Francisco, CA · On-site +1

$107K - $147K/yr

Location Remote US Home, Austin, Boulder, Boston, New York, San Francisco, Washington DC. Duration ... To be most effective in this role, S&I provides programmatic support for all scientists at EDF and ...

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Remote Support Scientist information

What is the difference between Remote Support Scientist vs Remote Support Specialist?

AspectRemote Support Scientist
Required CredentialsTypically requires a scientific degree (e.g., biology, chemistry, or related fields), certifications in lab techniques or data analysis
Work EnvironmentLaboratory settings, research facilities, or remote data analysis environments
Employer & IndustryPharmaceutical, biotech, or research organizations
Common Search/ComparisonOften compared based on scientific expertise and research focus

The Remote Support Scientist primarily focuses on scientific research, data analysis, and laboratory support, often requiring advanced degrees and specialized certifications. In contrast, the Remote Support Specialist typically handles customer support, troubleshooting, and technical assistance, often with less emphasis on scientific credentials. Both roles may work remotely but serve different industry needs and skill sets.

What are the most commonly searched types of Support Scientist jobs in California? The most popular types of Support Scientist jobs in California are:
What are popular job titles related to Remote Support Scientist jobs in California? For Remote Support Scientist jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Support Scientist jobs in California look for? The top searched job categories for Remote Support Scientist jobs in California are:
What cities in California are hiring for Remote Support Scientist jobs? Cities in California with the most Remote Support Scientist job openings:
Remote Support Scientist jobs near you

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Re-posted 11 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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