1

Applied Data Science Jobs (NOW HIRING)

Applied Data Scientist

Cincinnati, OH ยท On-site

$150 - $200/hr

Bachelor's or Master's degree (Preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field. * 6-10+ years of professional experience in the related fields including ...

Applied Data Scientist

Arlington, TX ยท On-site

$150 - $200/hr

# Applied Data ScientistJobs via DiceArlington, USPart-time## About the RoleJob Number ... Work with us as we use data science for good.Join us. The world can't wait.You Have: โ€ข 5+ years ...

Applied Data Scientist

Livonia, MI ยท On-site

$150 - $200/hr

Qualifications Bachelor's or Master's degree (Preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field. 6-10+ years of professional experience in the related fields ...

$100 - $125/hr

Applied data science use cases including network and route optimization, warehouse optimization, demand and capacity forecasting, anomaly detection, and customer/product segmentation Technical ...

New

Do you want to help us build further data science capabilities? And are you eager to work on the ... As an Applied AI Data Scientist at LexisNexis, you will partner with internal teams and enterprise ...

Do you want to help us build further data science capabilities? And are you eager to work on the ... As an Applied AI Data Scientist at LexisNexis, you will partner with internal teams and enterprise ...

Do you want to help us build further data science capabilities? And are you eager to work on the ... As an Applied AI Data Scientist at LexisNexis, you will partner with internal teams and enterprise ...

Data Scientist

Camden, NJ ยท On-site

$100 - $125/hr

Applied data science use cases including network and route optimization, warehouse optimization, demand and capacity forecasting, anomaly detection, and customer/product segmentation Technical ...

Do you want to help us build further data science capabilities? And are you eager to work on the ... As an Applied AI Data Scientist at LexisNexis, you will partner with internal teams and enterprise ...

Do you want to help us build further data science capabilities? And are you eager to work on the ... As an Applied AI Data Scientist at LexisNexis, you will partner with internal teams and enterprise ...

Data Scientist

Camden, NJ

$105K - $130K/hr

Applied data science use cases including network and route optimization, warehouse optimization, demand and capacity forecasting, anomaly detection, and customer/product segmentation Technical ...

Data Scientist

Camden, NJ ยท On-site

$105K - $130K/hr

Applied data science use cases including network and route optimization, warehouse optimization, demand and capacity forecasting, anomaly detection, and customer/product segmentation Technical ...

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Data Scientist

Camden, NJ ยท On-site

$105K - $130K/yr

Applied data science use cases including network and route optimization, warehouse optimization, demand and capacity forecasting, anomaly detection, and customer/product segmentation Technical ...

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Senior Applied Data Scientist

New York, NY ยท On-site

$190K - $200K/yr

Learn more about us at getclair.com/about About the Role As an Applied Data Scientist on Clair ... We're looking for someone who thrives at the intersection of data science, machine learning, and ...

Showing results 41-60

Applied Data Science information

See salary details

$26K

$147.2K

$224K

How much do applied data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for applied data science in the United States is $147,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $183,000.00 per year, depending on experience, location, and employer.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.
More about Applied Data Science jobs

What cities are hiring for Applied Data Science jobs?

Cities with the most Applied Data Science job openings:

What states have the most Applied Data Science jobs?

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

What are popular job titles for Applied Data Science?

Popular job titles for Applied Data Science:

Infographic showing various Applied Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $147,249 per year, or $70.8 per hour.

Applied Data Scientist

Cincinnati, OH โ€ข On-site

$150 - $200/hr

Other

Posted 9 days ago


Job description

Job Family: Software


Req ID: 518983


We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulationโ€” helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.


We are seeking an experienced AI Developer with expertise in Large Language Models (LLMs), ontologies, and knowledge graphs to join our team. This role will focus on developing AI-driven solutions that leverage LLMs, ontologies, and semantic knowledge representation to improve knowledge discovery, question-answering, and information retrieval. The ideal candidate will be skilled skilled in:



  • Building scalable and intelligent systems and is passionate about semantic technologies and AI innovation.


  • Implementing and optimizing NLP models, algorithms, and processing pipelines to ensure efficient, scalable, and accurate performance.


  • Researching and applying the latest advancements in knowledge representation, LLMs, and semantic search technologies to enhance the application's capabilities.


  • Documenting development processes, architecture, and APIs to ensure maintainability and knowledge sharing.



Qualifications:



  • Bachelorโ€™s or Masterโ€™s degree (Preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field.


  • 6-10+ years of professional experience in the related fields including Software Development Life Cycle (SDLC)


  • 3 - 5 years of proven experience in developing AI application with large language models (e.g., OpenAI, BERT, GPT-3/4) and natural language processing techniques.


  • Strong background in knowledge representation and semantic technologies, including ontologies, RDF, OWL, and SPARQL.


  • Proficiency in programming languages like Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).


  • Excellent analytical and problem-solving skills, with a keen attention to detail.


  • Strong communication skills and the ability to work collaboratively in a cross-functional team environment.



Preferred Skills:



  • Experience with retrieval-augmented generation (RAG) frameworks or applications.


  • Experience with graph databases (e.g., Neo4j, AWS Neptune) and knowledge graph construction.


  • Familiarity with data integration, data cleaning, and linking methodologies.


  • Knowledge of MLOps practices, cloud platforms (AWS, Azure, GCP), and deployment of AI models in production.


  • Familiarity with knowledge base management, content indexing, and search optimization techniques.


  • Understanding of data governance, privacy, and security practices in the context of knowledge graphs and AI.



Compensation & Benefits:


The salary range for this position is $109,800 to $197,700 and this role is eligible to earn incentive compensation (5-10%). The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/


Why us?


Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.


A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!


Siemens Software. Transform the Everyday


#LI-PLM


#LI-HYBRID


#SWSaaS


$109,800 $197,700


Organization: Digital Industries


Job Type: Full-time


Category: Research & Development

#J-18808-Ljbffr