Location: Remote
Data Scientist (Senior Staff, Staff, & Senior roles available)
About the company
In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.
KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.
Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.
KoBold runs exploration programs in eight countries, all with the potential for another discovery.
KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.
We are hiring a Data Scientists to help accelerate our mission.
About the position
In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.
You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.
Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.
Responsibilities
The Data Scientist will:
Help develop KoBold’s proprietary software exploration tools.
Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
Present to and collaborate with our external partners and stakeholders.
Qualifications
A great Data Scientist candidate will have:
Technical skills, including extensive experience with:
Python’s data science packages and general software engineering practices.
Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
Cloud computing resources.
Building predictive models, applying them to different problems, and evaluating and interpreting the results.
Data from a variety of physical systems.
Geospatial analyses and visualizations.
Technical knowledge:
Broad skills in and knowledge of applied statistics and Bayesian inference
Substantial understanding of machine learning algorithms
Training and work experience:
An advanced degree in the physical sciences, engineering, computer science, or mathematics.
A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.
Experience leading technical teams to apply novel scientific approaches to core business problems
Work practices and motivation:
Ability to take ownership and responsibility of large projects.
Ability to explain technical problems to and collaborate on solutions with domain experts.
Communicates well on a collaborative, cross-functional team.
Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
Ability to independently prioritize multiple tasks effectively.
Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.
It is also helpful but not required to have experience with:
Creating machine learning models on geospatial data
Geostatistics
Image processing or computer vision
Distributed computing applications for machine learning and other computations
What to Expect
Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field.
KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.
The US base salary range for this full-time exempt position is $140,000 - $260,000 plus equity and benefits, including 401k match.
Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana.
Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.
Location: London
Your future role within QRT
Your core objective is to create high quality predictive signals.
By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
Share and discuss research results, methodology, data sets and processes with other researchers.
Implement the signals and the relevant datasets within the global execution platform.
Monitor signal behaviour and model performance over time.
You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
Experience in exploring large datasets across multiple time frames is a plus.
Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
Capacity to work with autonomy within a collegial and collaborative environment.
Strong capacity to communicate with technologists, data scientists and traders across the globe.
Proven track record in delivering successful systematic strategies.
Location: Battle Ground, WA
About Maddox
Maddox is the nation’s leading provider of electrical transformers to the commercial and industrial market, with primary locations in South Carolina, Washington State, Texas, Idaho, and Ohio. We have been recognized by
Inc. Magazine
as one of the fastest-growing companies in America for the past 8 years and counting.
Maddox was founded on Christian values, and we are serious about investing in the people, processes, and culture that make this a great place to work. We build real things, solve real problems, and expect professionalism, competence, and integrity from our team.
Discover more at:
https://www.youtube.com/@MaddoxTransformer
https://www.maddox.com/
About Maddox + You:
As a Yard Coordinator, you will be working outside where your attention to detail will be deployed to safely operate a 30 ton mobile gantry crane as well as a 24,000lb forklift. You will be responsible for:
The stocking of transformers in the storage yard in an efficient and orderly manner
Loading all outbound shipments
Work closely with the Logistics Coordinator to properly record shipment information
Perform yard maintenance (cleanup of oil spills, dragging the yard, picking up trash, ect.)
Perform daily, monthly, and quarterly inspections of the forklifts and mobile gantry crane
This is an ideal role for someone looking to build a career in a positive environment, with an employer who values and recognizes your strong character, stable lifestyle, and dedicated work ethic.
More About You:
You love working outdoors in all seasons of the year.
You work well in a team or independently.
You enjoy running heavy equipment.
You are focused and have a high attention to detail.
You are very safety-oriented.
You’re a quick learner; not a know-it-all.
Basics:
This position works 40-45 hours per week on a 5-day a week schedule. All day-time schedule (not night shift). The schedule is generally 6:00 AM - 4:00 PM. Some additional paid overtime is available during peak times.
Employees are required to meet basic physical requirements for a heavy-equipment environment with 90-100% of the time on your feet. Occasional exposure to confined spaces. Must know how to use basic hand tools, follow written instructions, operate a computer or tablet, etc.
Paid time-off, paternity/maternity leave, 401k matching, health/wellness benefits, etc. Smoke-free, drug-free workplace.
Experience & Education:
We value skills and experience, so if you have years of experience, that's great. We’re also willing to invest in training early-career candidates with the right attitude and ambition.
Pro Tip:
We get a LOT of applicants, so please write a few sentences telling us what stood out to you, and why you think you’d thrive in this particular opportunity.
Compensation & Benefits
Pay range = (wages + bonus)
Comprehensive full-time benefits package averaging
$20,000+ per year
(amount varies based on age, family size, and eligibility), including:
Health & wellness benefits (insurance or cash-in-lieu options)
Paid maternity and paternity leave
401(k) with 100% match up to 8% of wages
Paid holidays, PTO, and family-life gifts
Vision, dental, disability, life insurance, and other voluntary benefits
Annual Range
$64,000
—
$86,000 USD
Location: Global Remote
Workplace: remote
Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.
We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies.
Metabase is looking for a customer-focused, technical Open Source Community Advocate to join our growing global team! We are looking for someone who loves data analytics, enjoys helping others, and is excited to work for a startup to help drive our Success Engineering team’s mission to help our customers be successful by guiding them on how to get data from all the various places it lives, transform it into useful shapes, or to convert their questions into actual queries that can be executed. You will help and build relationships with our customers in the public places they hang out (like LinkedIn, Twitter, Reddit, and data slack communities), providing help to Metabase users using our open source and for-fee products. Our discourse forum is often the first resource that comes up when our customers search for issues, and it’s used by Metabase customers big and small.
A typical day will involve a mix of answering our users on our discourse forum and helping customers on Twitter or other social channels. Any given week, you might correspond with our users to hear what they’re trying to accomplish, collaborate with our writing team, or participate in brainstorming sessions on what content we should create for our customers.
Why Success?
We are the voice for our customers. Our product team reviews our feedback, asks us for advice, and engages with our customers proactively. We have a writer on our team who reviews what questions our customers are asking and improves our documentation, so the next customer doesn’t have to ask. We also work closely with an engineering team focused on critical issues and our escalations, so we don’t have to worry about our customers being impacted by major bugs for a long time.
We’re 100% remote, and our operations are designed that way. People work during the times that work for them. You are not expected to be “on” at all times, and there are no points for responding quickly to every Slack you receive.
We don’t overpromise our customers. Since we’re open source, our customers can see what we’re doing in our Github repository and our roadmap is publicly available for our customers at all times.
Many companies use the word “success” to describe jobs that are really sales jobs or account management jobs with quotas. We are not about that. We’re exclusively here to make sure our open source users, our future customers who are currently on trials, and our current paying customers all get the appropriate help they need to be successful.
If you want to take part and have a voice in a truly growing business, believe that BI analytics should be easy to use and set-up, and that self-service analytics should be a real thing and not just some marketing jargon that people put on their websites, please apply!
Being an Open Source Community Advocate at Metabase would be a great fit for you if you:
Enjoy helping people and solving their problems
Have a strong technical background (minimum of 3 -5 years writing production code or administering systems)
Have experience with using data visualization or data analytics tools (bonus if you have experience using Metabase)
Have excellent written communication
Are comfortable being the face of Metabase during webinars or in-person events
You have expertise in at least one of:
Running Metabase on a variety of operating systems for multiple years
Strong background in networking and how web applications function
Managing servers (either physical, or Docker, or AWS/GCP/etc)
Managing databases and strong SQL skills
It’s not required, but a plus if you:
Are fluent in multiple languages (this is helpful as our users are world-wide)
Compensation
The US base salary range for this role is $67.9K–$183.5K annually, plus equity and benefits.
Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors.
Benefits
We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment.
We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.
For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)
Location: Fountain Inn, SC
About Maddox
Maddox is the nation’s leading provider of electrical transformers to the commercial and industrial market, with primary locations in South Carolina, Washington State, Texas, Idaho, and Ohio. We have been recognized by
Inc. Magazine
as one of the fastest-growing companies in America for the past 8 years and counting.
Maddox was founded on Christian values, and we are serious about investing in the people, processes, and culture that make this a great place to work. We build real things, solve real problems, and expect professionalism, competence, and integrity from our team.
Discover more at:
https://www.youtube.com/@MaddoxTransformer
https://www.maddox.com/
About Maddox + You:
As an Inventory technician, you would be working in a storage and staging yard environment where your technical and mechanical skills will be deployed to test and evaluate liquid-filled transformers.
This is not an assembly-line factory job. It’s a fast-paced, hard-working, but very rewarding environment where you will be part of a team of qualified inventory technicians who test and evaluate industrial transformers. Maddox is a great American company which values honesty, integrity, and recognizes the men and women who serve our customers, build up the team, and value the company and culture we've built.
Your day-to-day activities will involve operating electrical test equipment and power tools to test, evaluate, disassemble, troubleshoot, and quality control electrical transformers. You will document test results, mechanical condition, dimensions, and accessories for each transformer. You will also operate forklifts and cranes to organize inventory, load, and unload transformers from flatbed trucks. Most of the job is spent on your feet, working with your hands, and outdoors whether rain or shine.
This is an ideal role for someone looking to build a career in a positive environment, with an employer who values and recognizes your strong character, stable lifestyle, and dedicated work ethic.
More About You:
You love working with your hands to fix things and troubleshoot problems.
You get to the bottom of an issue so you understand exactly what is or is not working.
You’re comfortable with digital documentation and web-based software systems (with computer & smartphone).
You’re an excellent communicator; in-person, over the phone, and via email.
You’re a quick learner; not a know-it-all.
Basics:
This position works 40-45 hours per week on a 5-day schedule. All day-time schedule (not night shift). The schedule is 6:00 AM - 4:00 PM, Monday-Friday. Some additional paid overtime is available and occasionally mandatory during peak seasons.
Employees are required to meet basic physical requirements for a heavy-equipment environment with 90% or more of the time on your feet and outdoors. Occasional exposure to confined spaces. Must know how to use basic hand tools, follow written instructions, operate a computer or tablet, etc.
Paid time-off, paternity/maternity leave, 401k matching, health/wellness benefits, etc. Smoke-free, drug-free workplace.
Experience & Education:
We value skills and experience (welding, fabrication, general shop/mechanical skills, auto body prep/paint), but we’re also willing to invest in training early-career candidates with the right attitude and ambition.
Pro Tip:
We get a LOT of applicants, so please write a few sentences telling us what stood out to you, and why you think you’d thrive in this particular opportunity.
Compensation & Benefits
Pay range = (wages + bonus)
Comprehensive full-time benefits package averaging
$20,000+ per year
(amount varies based on age, family size, and eligibility), including:
Health & wellness benefits (insurance or cash-in-lieu options)
Paid maternity and paternity leave
401(k) with 100% match up to 8% of wages
Paid holidays, PTO, and family-life gifts
Vision, dental, disability, life insurance, and other voluntary benefits
Annual Range
$56,000
—
$73,000 USD
Location: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs
Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis
Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers
Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring
Your present skillset
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets
Experience in finance is a plus
Excellent communication skills
Your
enhanced experience and learning opportunities at QRT
Mentorship from industry professionals
Detailed practical hands-on experience with portfolio management and analysis
Contribution to high level decision making on global businesses
Exposure to large scale data analysis technology
Experience in a collaborative and collegial corporate environment
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Paris
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs
Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis
Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers
Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring
Your present skillset
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets
Experience in finance is a plus
Excellent communication skills
Your
enhanced experience and learning opportunities at QRT
Mentorship from industry professionals
Detailed practical hands-on experience with portfolio management and analysis
Contribution to high level decision making on global businesses
Exposure to large scale data analysis technology
Experience in a collaborative and collegial corporate environment
Paris
СтажёрBeijing OR Shanghai
Beijing OR Shanghai
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