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Full Time Data Science Postdoc Jobs (NOW HIRING)

Walmart

Director, Data Science

San Bruno, CA · On-site

$169K - $338K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Bentonville, AR · On-site

$169K - $338K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Sunnyvale, CA · On-site

$169K - $338K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$169K - $338K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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Full Time Data Science Postdoc information

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How much do full time data science postdoc jobs pay per year?

As of Jul 13, 2026, the average yearly pay for full time data science postdoc in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Data Science Postdoc, and why are they important?

To excel as a Full Time Data Science Postdoc, you need an advanced degree (usually a PhD) in a quantitative field, strong statistical analysis skills, and experience in research methodologies. Proficiency with programming languages such as Python or R, data analysis libraries, and tools like TensorFlow or SQL is typically required. Exceptional problem-solving ability, clear communication, and collaborative skills help you stand out in multidisciplinary research environments. These competencies are essential for generating impactful research outcomes, advancing scientific knowledge, and effectively sharing results with both technical and non-technical audiences.

What is a Full Time Data Science Postdoc?

A Full Time Data Science Postdoc is a postdoctoral research position focused on applying advanced data analysis, statistical modeling, and machine learning methods to solve complex problems in academic, industrial, or research settings. These positions are typically held by individuals who have recently completed a PhD in fields such as computer science, statistics, mathematics, or related disciplines. The role often involves working on large datasets, developing new algorithms, publishing research findings, and collaborating with interdisciplinary teams. Full-time postdocs are expected to dedicate their working hours entirely to research and related academic activities. This experience often serves as a bridge to permanent positions in academia or industry.

What are the typical collaboration opportunities for a Full Time Data Science Postdoc within a research institution or industry team?

As a Full Time Data Science Postdoc, you can expect to work closely with multidisciplinary teams that may include data engineers, domain experts, software developers, and senior researchers. Collaboration often involves joint problem-solving, co-authoring publications, and contributing to grant proposals or product development. You'll likely participate in regular meetings, data reviews, and brainstorming sessions, which provide valuable opportunities to expand your professional network and learn from colleagues in different fields. These collaborative experiences are not only essential for project success but also enhance your skills and visibility for future career advancement.
More about Full Time Data Science Postdoc jobs
What cities are hiring for Full Time Data Science Postdoc jobs? Cities with the most Full Time Data Science Postdoc job openings:
What are the most commonly searched types of Data Science Postdoc jobs? The most popular types of Data Science Postdoc jobs are:
What job categories do people searching Full Time Data Science Postdoc jobs look for? The top searched job categories for Full Time Data Science Postdoc jobs are:
Full Time Data Science Postdoc jobs near you
Infographic showing various Full Time Data Science Postdoc job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,039 per year, or $32.7 per hour.
Data Science Specialist

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Re-posted 22 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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