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Remote Celonis Process Mining Jobs (NOW HIRING)

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

... be fully remote. The salary range for this role is an estimate based on a wide range of ... process. Candidates for certain positions are eligible to participate in Motional's benefits ...

SWITS DIGITAL Private Limited

UiPath Project Manager

Remote (USA) ROLE SUMMARY We are seeking an experienced UiPath Project Manager to lead end-to-end ... Process Mining • AI Center • Test Suite • HL7/FHIR Integrations • MuleSoft or Azure API ...

RE/SPEC Inc.

Water Treatment Process Engineer

Denver, CO · On-site +1

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... mining and water systems. We bring deep technical knowledge, real-world experience, and a ...

New

Elder Research

Data Analyst (Remote)

Responsible for data mining, data preparation, and reporting. * Prepare and conduct analyses and ... Demonstrated experience with cleaning, management, optimizing performance and processing large ...

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Remote Celonis Process Mining information

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$14

$25

$48

How much do remote celonis process mining jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for remote celonis process mining in the United States is $25.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.57 per hour, depending on experience, location, and employer.

What is a Remote Celonis Process Mining professional?

A Remote Celonis Process Mining professional is an expert who uses Celonis, a leading process mining software, to analyze, visualize, and improve business processes—all while working remotely. They typically gather and interpret data from company systems to uncover inefficiencies, bottlenecks, and opportunities for automation or optimization. Their insights help organizations streamline operations and make data-driven decisions without the need for on-site presence. Collaboration with teams is often managed through virtual meetings and shared digital platforms.

What are the key skills and qualifications needed to thrive as a Remote Celonis Process Mining Specialist, and why are they important?

To excel as a Remote Celonis Process Mining Specialist, you need expertise in process analysis, data analytics, and a background in business operations or IT, often supported by a relevant degree. Proficiency in Celonis software, data visualization tools, and familiarity with SQL or ERP systems are typically required, with Celonis certifications being highly valued. Strong problem-solving, communication, and collaboration skills help you translate analytical insights into actionable business improvements while working remotely with cross-functional teams. These competencies are essential for driving process optimization and delivering measurable value to organizations using process mining solutions.

What is the difference between Remote Celonis Process Mining vs Remote Data Analyst?

AspectRemote Celonis Process MiningRemote Data Analyst
Required CredentialsCelonis certifications, process mining knowledgeDegree in Data Science, Statistics, or related field
Work EnvironmentSoftware tools, process analysis platformsData analysis tools, spreadsheets, visualization software
Industry UsageBusiness process optimization, ERP systemsBusiness intelligence, reporting, data-driven decision making
Common Search/ComparisonYesNo

Remote Celonis Process Mining specialists focus on analyzing and optimizing business processes using Celonis software, often requiring certifications in process mining. Remote Data Analysts interpret data sets to inform business decisions, typically needing a background in data science. While both roles involve data analysis, Celonis Process Mining is more specialized in process optimization within enterprise environments, whereas Data Analysts have broader data interpretation responsibilities.

What are some common challenges faced by remote Celonis Process Mining professionals and how can they be addressed?

Remote Celonis Process Mining professionals often encounter challenges such as aligning stakeholders across departments, managing data security, and maintaining clear communication with clients and team members. To address these, it is important to establish regular virtual check-ins, utilize secure data-sharing protocols, and leverage collaboration tools for project tracking. Building relationships with key stakeholders and setting clear expectations early on can also help ensure project success and smooth remote collaboration.
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Remote Celonis Process Mining jobs near you
Infographic showing various Remote Celonis Process Mining job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $52,986 per year, or $25.5 per hour.
Machine Learning Engineer, Data Mining

Machine Learning Engineer, Data Mining

Motional

Pittsburgh, PA • On-site, Remote

$144K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago

Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

  • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
  • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
  • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
  • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
  • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
  • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.

What We're Looking For (Must-Haves):

  • BS or MS in Computer Science, Machine Learning, or a related field.
  • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
  • Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
  • Working knowledge of version control, unit testing, and basic software design patterns.
  • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
  • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
  • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.

Bonus Points (Nice-to-Haves):

  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$144,000—$192,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.