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Remote Stochastic Processes Jobs (NOW HIRING)

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Develop signal-processing and image-analysis algorithms using classical methods as well as modern ...

Waymo

Planning Manager - Infrastructure

Use simulation techniques, stochastic modeling, and other optimization tools to derive risk ... for remote work when you begin the interview process. The expected base salary range for this ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

Trusted by thousands of leading merchants across more than 100 countries, we securely process ... Stochastic' Nice to have: * Previous experience in fraud, fintech, payments, or e-commerce.

Intersect

Lead Gas Trader

... our flexible remote culture. About This Role Intersect is building the integrated energy ... Design scalable processes, controls, and infrastructure for physical and financial gas management.

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How much do remote stochastic processes jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote stochastic processes in the United States is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.56 per hour, depending on experience, location, and employer.

What is the difference between Remote Stochastic Processes vs Remote Data Analyst?

AspectRemote Stochastic ProcessesRemote Data Analyst
Required CredentialsMathematics, Statistics, or related degrees; knowledge of probability theoryStatistics, Data Science, or related degrees; proficiency in data analysis tools
Work EnvironmentResearch-focused, often independent or collaborative teams in finance, tech, or academiaBusiness or tech companies analyzing data to inform decisions
Industry UsageFinance, academia, research institutionsBusiness, marketing, tech industries
Common Search/ComparisonYesNo

Remote Stochastic Processes involve advanced mathematical modeling and probability theory, often used in finance or research. Remote Data Analysts focus on interpreting data sets to support business decisions. While both roles require analytical skills, their focus, tools, and industries differ significantly.

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What cities are hiring for Remote Stochastic Processes jobs? Cities with the most Remote Stochastic Processes job openings:
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What job categories do people searching Remote Stochastic Processes jobs look for? The top searched job categories for Remote Stochastic Processes jobs are:
Remote Stochastic Processes jobs near you
Infographic showing various Remote Stochastic Processes job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 66% Full Time, 29% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $40,972 per year, or $19.7 per hour.
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 14 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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