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Remote Amazon Data Science Jobs in Hayward, CA (NOW HIRING)

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

New

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

New

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Amazon Bedrock * Strong Python programming skills. * Experience building distributed ML systems and ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve ... As a Delivery team, this Department uses industry leading data science and change management ...

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Data Scientist

San Francisco, CA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible ... The Data Science TeamOur Impact Data is core to Parafin's mission to grow small businesses. Our ...

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Showing results 1-20

Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

What are the most commonly searched types of Amazon Data Science jobs in Hayward, CA?

The most popular types of Amazon Data Science jobs in Hayward, CA are:

What are popular job titles related to Remote Amazon Data Science jobs in Hayward, CA?

For Remote Amazon Data Science jobs in Hayward, CA, the most frequently searched job titles are:

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The top searched job categories for Remote Amazon Data Science jobs in Hayward, CA are:

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Cities near Hayward, CA with the most Remote Amazon Data Science job openings:

Full-time

Re-posted 23 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