Forward Deployed Data Scientist
Forward Deployed Data Scientist
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Job Description
About Signal Ocean:
Signal Ocean is the technology arm of the Signal Group. Our primary product The Signal Ocean Platform helps shipping and commodities professionals navigate their complex decision making. Driven by advanced machine learning and artificial intelligence our technology suite provides tailored exclusive insights that support our clients in achieving performance and efficiency. By securely handling and combining private and public shipping data flows and applying advanced analytics insights are delivered over web and mobile applications as well as through a rich set of APIs and SDKs. Our backend architecture is abstracted to modularly offer deep analytics capabilities that are leveraged in the solutions that we offer or can be directly embedded in our clients system topologies.
Summary
Signal is looking for a Forward Deployed Data Scientist to join our high-growth team. This is not your typical data roleyoull sit at the crossroads of data science sales engineering/technical sales client success and product management working closely with enterprise clients to design prototype and deliver data solutions that quickly generate client value using Signals technologies and datawhile also accelerating adoption driving revenue and feeding insights back into the product for improvement.
What Youll Do:
Client-Centric Data Solutions for fast time-to-value
- Collaborate with clients sales and client success teams to uncover pressing real-world data needs and/or friction points early in the commercial process.
- Discover prototype validate build deliver and support working data solutions that materialize client value as quickly and as early as possible.
- Accumulate experience and knowledge to act as a trusted technical advisor helping clients explore understand learn and find value in Signals unique data assets.
Forward Data Science Engineering & Product Innovation
- Quickly learn and use Signals products and stack including SDKs (Python C#) APIs (Snowflake) Data Warehouse or other assets
- Learn and become proficient in the clients diverse technical stacks including anything from MS Excel PowerBI SQL Snowflake DataBricks Python and more
- Work closely partnered with Signals product and data science teams and represent them their products standards processes priorities etc.
- Gather triage and consolidate product feedback and ideas and contribute inputs and insights into the product management cycle
- Get involved and contribute in data design sprints client metrics early testing and other types of partnership with Signals product and data science teams.
API/Data Enablement Assets & Documentation
- Shape how Signals data services are marketed discovered learned (internally by Signalers and externally by clients) and utilized
- Develop sales and client success enablement assets so that repeatable processes relevant common examples etc are easy to deliver and digest by all
- Help create a fast and efficient API/data client onboarding playbook
- Maintain improve and extend API/data technical documentation
- Help describe Signals API/Data roadmap and vision to clients
Usage Intelligence & Feedback Loops
- Track client usage across APIs and data products; uncover whats working and what needs improvement.
- Reframe underused assets for higher impact and increased adoption.
- Feed real client metrics back into engineering and product roadmaps.
Requirements
What You Bring:
- 5 years in data-heavy roles (e.g. Data Engineer Data Analyst Data Scientist API developer etc.)
- You have extensive experience working in client facing roles
- Strong command of Python SQL and API schemasand the ability to explain them clearly.
- Deep experience building or deploying data products in commercial settings.
- Strong business acumen; you get how data is used not just how its built.
- Passion for working directly with clients and solving complex high-value problems.
- Comfortable operating across both technical and commercial teams.
- Experience in cloud infrastructure software engineering or analytics frameworks a plus.
- A curious mindespecially if youre excited to learn about industries like shipping and commodities trading.
Benefits
What We Offer:
- Generous compensation with additional performance incentives.
- Coverage under the companys collective health insurance plan.
- Opportunity to work alongside experienced people with deep knowledge in software engineering data science & shipping business who are always eager to mentor.
- Signals hybrid work policy currently includes 6 working days at premises per month
- 2-4 weeks of onboarding training to prepare you for your new role having the opportunity to meet about 30 trainers while diving deep into our products and/or the shipping world.
- Career growth opportunities and a structured development discussion every 4 months.
- Personal learning budget for training seminars conferences (750 to 2000 EUR annually depending on seniority).
- Regular team bonding events and activities.
Strict adherence to Confidentiality Intellectual Property and Non-Compete provisions is expected.
All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.
We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At Signal we believe that diversity of opinions approaches and viewpoints is key to our innovation and success and we encourage that with our hiring development and rewards practices. We prohibit discrimination and harassment of any kind based on race color sex religion sexual orientation national origin disability genetic information pregnancy or any other protected characteristics by law and take actions to eliminate those from our workplace.
Employment Type
Full-Time
