ZipRecruiter

Log In

1

Data Science Social Good Jobs (NOW HIRING)

Sia Partners'

Data Science

San Francisco, CA · On-site

$100 - $125/hr

However, using innovative technologies such as our own in-house apps, social networks, and digital ... You will play a key role in bridging the gap between Data Scientists, Machine Learning Engineers ...

Socket.dev

Data Science Graduate

Mill Spring, NC · On-site

$100 - $125/hr

Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work ... We make bold moves, together, and are a force for good. If you are looking to stretch and grow your ...

Vizient

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are ...

Vizient, Inc.

Data Science Fellow

Chicago, IL · On-site

$51K - $87K/yr

Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are ...

Stanfordlivetickets

Biomedical Data Science

Palo Alto, CA · On-site

$125 - $150/hr

Participation in Stanford's social responsibility and sustainable programs for a better world * A ... The successful candidate will apply modern data science, biomedical informatics, and artificial ...

Athenago

Data Science Intern

Wilmington, DE

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Interns participate in team meetings, social events, and all company perks - you'll be treated as ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData Science Social Good Jobs

Data Science Social Good information

What is a data science social good?

A Data Science Social Good job applies data science, machine learning, and analytics to solve social challenges in areas like public health, education, criminal justice, and environmental sustainability. These roles often exist in nonprofits, government agencies, or mission-driven organizations and focus on using data for ethical and impactful decision-making. Professionals in this field work with messy, real-world data to develop models and insights that improve societal outcomes. The work often involves collaboration with policymakers, researchers, and stakeholders to ensure data-driven solutions align with public needs.

What types of projects do data science social good professionals typically work on, and how do they impact the community?

Data Science Social Good professionals often work on projects that analyze public health trends, support environmental sustainability, improve education outcomes, or address economic inequality. These projects commonly involve gathering and interpreting large data sets to develop actionable insights for non-profits, government agencies, or community organizations. By collaborating closely with subject-matter experts and stakeholders, data scientists help design equitable solutions that directly benefit communities. The work can be both challenging and rewarding, as the role continually balances technical rigor with real-world impact.

What are the key skills and qualifications needed to thrive in data science social good, and why are they important?

To thrive in a Data Science Social Good role, you need strong analytical, statistical, and programming skills, often backed by a degree in data science, computer science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience with open data and impact measurement frameworks, is highly valued. Outstanding communication, problem-solving abilities, and a genuine passion for social impact are key soft skills that differentiate top candidates. These skills are essential for interpreting complex data sets to drive solutions that address real-world social challenges while collaborating effectively with diverse stakeholders.

What cities are hiring for Data Science Social Good jobs?

Cities with the most Data Science Social Good job openings:

What are the most commonly searched types of Data Science Social Good jobs?

The most popular types of Data Science Social Good jobs are:

What states have the most Data Science Social Good jobs?

States with the most job openings for Data Science Social Good jobs include:

What job categories do people searching Data Science Social Good jobs look for?

The top searched job categories for Data Science Social Good jobs are:

Data Science Social Good jobs near you
Infographic showing various Data Science Social Good job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Re-posted 19 days ago

Key responsibilities

  • Enhance and debug large-scale applications for clients.

  • Apply machine learning, deep learning, and statistical methodologies to solve business problems.

  • Perform data wrangling, querying, and transforming data from various sources.

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

Apply