Data Scientist (Full-Stack / Generalist)

Location: Remote / Flexible Type: Full-Time

Compensation: Competitive

We are seeking an experienced, versatile Data Scientist who thrives in a fast-paced startup environment. In this role, you will have the freedom to identify high-impact opportunities, design and implement technical solutions, and measure their success across our global product suite.

We value generalists over specialists. The ideal candidate has broad experience across the entire data science lifecycle rather than deep expertise in just one niche. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. At our firm, you aren't just a number; you maintain ownership of your projects from initial conception to final implementation.

What You'll Do:

We are looking for an Account Manager to support and grow GoMining’s referral and partner ecosystem.

This role focuses on working with active referrers, ambassadors, and partners: helping them understand all GoMining products, answering questions, resolving issues, and supporting them in achieving better results. You will act as the main point of contact between partners, product, and internal teams.

Responsibilities

• Act as the primary point of contact for referral partners, ambassadors, and active referrers.
• Explain GoMining products, features, mechanics, and updates to partners in a clear and structured way.
• Support partners in their daily work: answer questions, resolve issues, and help them use the platform effectively.
• Collect partner requests, issues, and feedback; create tasks, tickets, and bug reports for product and tech teams.
• Track partner activity, performance, and communication in CRM (Monday CRM).
• Help partners reach better results by suggesting promotion approaches, product use cases, and referral mechanics.
• Proactively identify problems, opportunities, and growth hypotheses based on partner feedback and behavior.
• Collaborate closely with Affiliate Managers, Referral Managers, Support, Product, and Marketing teams.
  

Requirements

About DOF

DOF is a leading offshore services company with over four decades of experience delivering integrated subsea and marine solutions to the global energy sector. Headquartered in Norway and operating in more than 15 countries. DOF is at the forefront of innovation, safety, and sustainability in offshore operations.

What We DO

At DOF, we support the full offshore energy life cycle, offering:

• Subsea Services: Construction, installation, IMR, decommissioning, and diving operations
• Marine Services: Offshore vessel operations, crewing, and project execution
• ROV & AUV Operations: Cutting-edge underwater robotics for inspection and intervention
• Offshore Wind Support: Subsea cable installation and maintenance for renewable energy projects.

Ready to make waves in your career? Join us as our Survey & Inspection Warehouse Technician !

Who we are

With a multi-national workforce of 6000 personnel, DOF is an international group of companies which owns and operates a fleet of modern offshore/subsea vessels, with an engineering capacity to service both the offshore and subsea market. With more than 40 years in the offshore business, the group has a strong position in terms of experience, innovation, product range, technology, and capacity. 

DOFs core activities are vessel ownership, vessel management, project management, engineering, vessel operations, survey, remote intervention, and diving operations. DOF offers a full spectrum of top-quality offshore services to facilitate an ever-growing and demanding energy industry. 

The company’s main operation centres and business units are located in Norway, Denmark, UK, USA, Singapore, Philippines, Brazil, Argentina, Canada, Angola, and Australia.

We offer all our employees the benefit of working in a safe and supporting environment, where all are treated with dignity and respect. DOF is an employer who embraces Equal Opportunity and promotes diversity.

Join us as our new Leaning & Development Advisor

Data Scientist - Consumer Product Optimization

Location: New York City, London (Office)

Compensation: $250K - $300K

We are seeking an experienced, versatile Data Scientist to join our team, which is focused on a fast-paced consumer-facing product within the fintech or equivalent industry. This is a high-autonomy role where you will have the freedom to identify opportunities, design and implement solutions, and measure their impact across our entire product suite.

We value generalists who possess breadth across the data science field and thrive on end-to-end ownership. You will collaborate with cross-functional teams while driving projects independently from conception to completion.

The Data Scientist will be responsible for leveraging data to drive product decisions, optimize user experiences, and uncover strategic opportunities for growth.

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth.

At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Quento Technologies seeks a highly motivated and experienced IT Python Software Engineer.

Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of Market Access skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

HSO ist seit 21 Jahren Teil des Microsoft Inner Circle – also der Top 1 % weltweit. 26 Auszeichnungen als Partner of the Year, 30+ Jahre Erfahrung mit der Microsoft-Plattform und 2.800 Kolleg:innen aus 43 Nationen sprechen für sich. 

Was das für dich bedeutet? 
Spannende Projekte statt Folienroutine. Modernste Cloud-Technologien direkt aus dem Microsoft-Kosmos. Entwicklungsperspektiven, die zu dir passen – ob aus dem Homeoffice oder an einem unserer Standorte in Deutschland. 

Du willst was bewegen, nicht nur begleiten? 
Dann gestalte mit uns die Business-Welt von morgen – mit über 2.500 realisierten Projekten, für 1.200 Kund:innen weltweit, an 33 Standorten. 

Weniger Bla, mehr Wirkung. Willkommen bei HSO. 

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

The Clinical Outcomes Assessment department is looking for an experienced consultant to provide level-3 expertise to support ongoing COA projects. The consultant will work closely with COA and HEOR Biostatistics teams in the context of clinical trials and patient-reported outcomes evaluation.

Main Responsibilities:

As a Psychometrics Expert, the consultant will be responsible for: