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Added 12 mins ago
J
Staff Data Scientist
Jobgether
Remote, United States
- $123,804 to $185,700 USD / year
…technologies, including precision agriculture, automation, autonomous systems, and digital products. You will lead a team of data scientists while remaining hands-on in developing machine…
Added 26 mins ago
Senior Electrical Engineer
QinetiQ
Devens, MA
As a Senior Electrical Engineer at QinetiQ, you will be working hands-on to design, build, and troubleshoot mission-critical electronic systems for defense customers. Your work will span…
Added 26 mins ago
Senior Electrical Engineer
QinetiQ
Devens, MA
As a Senior Electrical Engineer at QinetiQ, you will be working hands-on to design, build, and troubleshoot mission-critical electronic systems for defense customers. Your work will span…
Added 27 mins ago
Senior Software Engineer, GenAI Evaluation
Google
New York, NY
3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Added 38 mins ago
ZG
AI/ML Engineer
ZT Group Intl, Inc. dba ZT Systems
Secaucus, NJ
- $105,000 to $140,000 USD / year
ZT Systems, a wholly owned subsidiary of Sanmina,, is seeking AI/ML Engineer to help build, deploy, and operate AI applications. You will work closely with software engineers, data…
Added 54 mins ago
Automation Engineer- Plant
Trane Technologies
Newberry, SC
Trane is hiring an Automation Engineer in Newberry, SC. We are seeking a motivated engineer with experience in process automation, manufacturing systems, and digital tools to support and…
Added 1 hour ago
F
Product Enablement Lead
Fireworks
San Mateo, CA
- $210,000 to $250,000 USD / year
- Prior experience in a technical pre-sales role, such as Solutions Engineer or Solutions Architect
Added 1 hour ago
Software Engineer, Deployment Compliance
Apple
Seattle, WA
…next-generation of Apple's cloud services infrastructure. As a Software Engineer on the Build Support Engineering team, you'll play a key role in modernizing large-scale build and…
Added 1 hour ago
Senior Software Engineer, FE/Mobile
QXO
Herndon, VA
As a Senior Software Engineer, you will help design, build, and maintain the core services and user experiences that power our commerce platform. You’ll work closely with product, design,…
Added 1 hour ago
Data Scientist Asc - Early Career
Lockheed Martin
Marietta, GA
A collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization. You thrive in fast‑paced, global environments, possess excellent…
Added 1 hour ago
Lead Data Engineer
Honeywell Technologies
Atlanta, GA
…the data that powers that future starts here. As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the data foundations that enable physical AI at…
Added 1 hour ago
PN
Machine Learning Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $114,000 USD / year
PNNL is seeking a Machine Learning Engineer to implement and adapt research methods within shared software used by U.S. government stakeholders. You will work with researchers in areas such…
Added 1 hour ago
PN
Senior Machine Learning Engineer III
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $140,200 USD / year
PNNL is seeking a Senior Machine Learning Engineer to implement, adapt, and mature research methods into software deployed primarily in unclassified sponsor environments. You will work…
Added 1 hour ago
ENGINEER INDUSTRIAL 1- FALL NEW GRAD
HII
Pascagoula, MS
…control, cost reduction, inventory control, and production record systems. On the basis of these studies, develops and implements plans and programs for facility modifications and revisions…
Added 2 hours ago
Principal Systems Software Engineer
NetApp, Inc.
Morrisville, NC · San Jose, CA
…that will evolve ONTAP for the AI era. You will solve complex systems challenges across distributed storage, file systems, data protection, drive/node failure resilience, performance,…
Added 2 hours ago
Principal Systems Software Engineer
NetApp
Durham · San Jose
…that will evolve ONTAP for the AI era. You will solve complex systems challenges across distributed storage, file systems, data protection, drive/node failure resilience, performance,…
Added 2 hours ago
C
ML / Applied Scientist
Cognizant
Phoenix, AZ
- $115,000 to $130,000 USD / year
5+ years of experience in applied machine learning, with expertise in entity resolution, classification, NLP, or matching systems.
Added 2 hours ago
SI
Lead Software Engineer, AI Workflow Generation (Agentforce Operations)
Salesforce, Inc.
CA
- $172,500 to $285,800 USD / year
As a SLead AI Software Engineer on the Agentforce Operations Process Generation Team, you will drive the ongoing development of our agents. They capture how a customer runs their business…
Added 2 hours ago
Senior Principal Engineer III Payload RF Technical Lead- $10K Sign-on Bonus
BAE Systems
Broomfield, CO
Join BAE Space & Mission Systems at a pivotal moment in our company's history, as we expand our presence in the space-based RF sensor systems market. We're seeking a highly skilled and…
Added 2 hours ago
SoftwareEngineer - Applied Research & Technology
Acuity Inc.
Boulder, CO
As a Research Engineer in the Applied Research & Technology team at Acuity Intelligent Spaces, you will sit at the intersection of applied machine learning research, software engineering,…
Added 2 hours ago
C
Machine Learning Engineer
Coframe
Burlingame, CA
- $180,000 to $300,000 USD / year
As a Machine Learning Engineer, you’ll build the models that power performance optimization at Coframe. You’ll train both foundation models and customer-specific models that predict and…
Added 2 hours ago
Cloud Hardware Dev Engineer, Annapurna Labs - Server & Rack Delivery - Trainium
Annapurna Labs (U.S.) Inc.
Austin, TX · Seattle, WA
The ideal candidate for this role is a hardware engineer who will own the design, operations and strategy around keeping our hardware functional in the fleet. You are knowledgeable of the…
Added 3 hours ago
HPE Labs - AI/ML Engineer (Technical Lead)
Hewlett Packard Enterprise
Milpitas, CA
Build for production and measurable impact. Design the architecture of AI systems for scalability, performance, reliability, security, and supportability. Establish evaluation, guardrails,…
Added 3 hours ago
Manager, DevOps Enterprise Architect
Amyris, Inc.
Remote, United States
…ingredients and products. Our technology platform spans cloud-forward systems on Google Cloud Platform alongside on-premises infrastructure that supports our labs, manufacturing, and global…
Added 3 hours ago
Internship-Co-Op: AI Engineer
ASML US, LLC. (US01)
San Diego, CA
As an AI Engineer Co-Op, you will work alongside experienced AI architects, AI engineers, and platform engineers to design, develop, and operationalize AI solutions that support ASML's…

Jobgether

Staff Data Scientist

Remote, United States

$123,804 to $185,700 USD / year

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Job details

Pay: $123,804 to $185,700 USD / year
Experience: At least 2 years of relevant experience with a PhD, 3 years with a Master's degree, or 5 years with a Bachelor's degree.
Posting language: English
Posted: Nov 10, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist based in the United States.

As a Staff Data Scientist, you will provide technical leadership in evaluating the performance and impact of advanced technologies, including precision agriculture, automation, autonomous systems, and digital products. You will lead a team of data scientists while remaining hands-on in developing machine learning models, analytical solutions, and data pipelines. Working with large-scale operational and environmental datasets, you will transform complex information into actionable insights and measurable business outcomes. You will take initiatives from early-stage exploration to production-ready solutions, establishing rigorous evaluation methods and performance benchmarks. Collaborating with product, engineering, and business leaders, you will influence technology strategies and investment decisions. This remote opportunity offers the chance to shape innovation in an environment focused on solving large-scale challenges through data, AI, and advanced engineering.

Accountabilities

As a Staff Data Scientist, you will lead technical initiatives, oversee performance evaluation strategies, and help translate complex data into meaningful improvements across technology products. Your main responsibilities will include:

• Lead a sub-team of data scientists within the Technology Intelligence Proving Ground, establishing priorities, allocating responsibilities, and providing day-to-day technical guidance.

• Define the technical strategy for evaluating the performance of machines, precision technologies, automation and autonomous capabilities, and digital products.

• Design and conduct structured technology evaluations and benchmarks using repeatable methodologies, clear success criteria, and measurable outcomes.

• Drive projects from initial concepts to tangible business results by framing problems, exploring data, developing prototypes, and delivering scalable solutions.

• Independently develop machine learning models, analytical solutions, and data pipelines to assess real-world technology performance.

• Leverage PAAW datasets to engineer features that capture machine, operational, and environmental context and connect these factors to technology usage.

• Conduct exploratory data analysis (EDA) to understand unfamiliar datasets, identify data quality issues, and uncover valuable patterns and opportunities.

• Maintain comprehensive documentation of technology evaluations, performance results, and supporting evidence.

• Collaborate with product, engineering, and business stakeholders to align evaluation initiatives with strategic priorities and inform technology investments.

• Present findings and actionable recommendations to product and engineering teams, providing the evidence needed to drive improvements.

• Maintain a transparent work backlog, actively contribute to Agile processes, and communicate progress, risks, and priorities.

• Mentor data scientists and engineers through technical coaching, design reviews, code reviews, and knowledge-sharing initiatives.

• Communicate technical findings and strategic recommendations effectively to senior leadership and cross-functional teams.

Requirements:

The ideal candidate combines advanced data science expertise, strong software engineering capabilities, and proven technical leadership. You should be comfortable navigating ambiguity, working independently, and translating complex analytical challenges into measurable business outcomes. The key qualifications include:

• At least 2 years of relevant experience with a PhD, 3 years with a Master's degree, or 5 years with a Bachelor's degree.

• Significant experience developing and delivering production-grade machine learning, deep learning, AI, advanced analytics, or data-intensive software solutions.

• Demonstrated success taking ambiguous ideas from initial exploration to implementation and measurable business impact.

• Strong ability to navigate incomplete requirements, evolving priorities, and unfamiliar problem spaces while maintaining progress.

• Existing knowledge of the organization's technologies, products, data platforms, and PAAW datasets.

• Practical experience using PAAW data to develop features that capture machine, operational, and environmental context.

• Expertise in connecting technology usage data with relevant conditions, including machine configuration, operating practices, field conditions, weather, and terrain.

• Strong exploratory data analysis skills and the ability to work efficiently with large, complex, or unstructured datasets.

• Experience designing and executing product or technology performance evaluations, benchmarks, and evidence-based assessments.

• Advanced programming skills and solid knowledge of machine learning, statistics, experimentation, model validation, and performance measurement.

• Strong software engineering fundamentals, including version control, automated testing, CI/CD, reproducibility, and maintainable code.

• Previous experience leading teams or technical workstreams, setting priorities, delegating responsibilities, and developing team members.

• Experience working in Agile environments using tools such as Azure DevOps, Jira, or equivalent platforms.

• Proficiency with AI-assisted development tools, including GitHub Copilot, coding agents, and LLM-based assistants, with the ability to validate AI-generated outputs for accuracy and quality.

• Excellent written and verbal communication skills, particularly when presenting technical assessments and recommendations to senior stakeholders.

• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related technical discipline, or equivalent professional experience.

• An advanced degree in statistics, mathematics, engineering, computer science, a quantitative discipline, or applied AI/ML is highly preferred.

Additional experience that would be considered an advantage:

• Professional experience in agriculture, construction, forestry, or other heavy equipment industries.

• Familiarity with digital products and technologies such as machine telemetry, precision agriculture, Operations Center, JDLink, autonomy, and perception systems.

• Experience working within established architecture, security review, and data governance frameworks.

• Experience handling large-scale datasets, including geospatial information, imagery, time-series data, machine telemetry, operational data, or agronomic datasets.

• Background in product performance analytics, field testing, validation and verification, or proving ground operations.

• Specialized expertise in computer vision, geospatial analytics, remote sensing, time-series modeling, optimization, robotics, autonomy, simulation, generative AI, or edge computing.

• Experience with Databricks, Spark, Kubernetes, distributed computing, model registries, or production model monitoring.

• Knowledge of responsible AI, privacy, cybersecurity, data governance, and model governance practices.

Benefits:

• Competitive annual base salary ranging from $123,804 to $185,700, depending on qualifications and experience.

• Flexible work arrangements and remote working opportunities.

• Comprehensive healthcare benefits, including generous employer contributions to Health Savings Accounts.

• 401(k) savings and retirement benefits, including a Defined Contribution plan.

• Vacation and paid holiday leave.

• Adoption assistance programs.

• Employee Assistance Programs.

• Tuition assistance and professional development support.

• Fitness subsidies and access to on-site gyms at selected locations.

• Charitable contribution matching.

• Employee Purchase Plan and various personal discount programs.

• Inclusive working environment with opportunities to explore new projects, develop professionally, and work with advanced technologies.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Leadership
Lead a team
Data analysis
EDA
Documentation
Coaching
Work independently
Machine learning
Deep learning
Work efficiently
Statistics
Test automation
CI/CD
Agile
Microsoft Azure
DevOps
Jira
GitHub
Communication skills
Computer science
Research
ML
Heavy equipment operation
Remote sensing techniques
Robotics
Databricks
Apache Spark
Kubernetes
Distributed computing

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