Senior Applied Data Scientist at Cyferd

About this role

Job Title: Senior Applied Data Scientist Location: Remote (Europe-based) Type: Full-Time About NuroTrace NuroTrace is a fast-growing technology company offering a next‑generation product identity and traceability platform that helps organizations verify, track, and manage physical assets with total confidence. We develop innovative solutions designed to give businesses clearer insight, stronger protection, and smarter ways of working across their entire supply chain. As we scale, we are looking for an experienced Applied Data Scientist to join the team. Role Overview We are driving a key initiative focused on validating complex business and technical theories through structured analysis and modelling. This role is centred around taking raw ideas, assumptions, and internal hypotheses, often not yet clearly defined and turning them into measurable models that can be tested, challenged, and proven. You will work closely with leadership and technical teams to structure incomplete information, identify what data is needed, and use statistical modelling to determine whether proposed ideas are commercially and technically viable. This role requires someone who is highly analytical, comfortable working with ambiguity, and confident turning unstructured problems into clear, evidence-based decisions. Key Hypothesis Testing
Translate business and technical theories into testable models
Validate assumptions using statistical methods and structured experimentation
Assess whether proposed ideas are commercially and technically viable
Challenge assumptions and improve decision-making through evidence-based analysis
Data Structuring
Work with incomplete, inconsistent, or unstructured datasets
Build frameworks that organise data for effective analysis
Identify missing data points and define data requirements
Improve data quality and analytical readiness across projects
Strategic Analysis
Develop predictive, statistical, and mathematical models
Support leadership with clear recommendations based on findings
Present complex analysis in a practical and understandable way
Help shape product, platform, and operational decisions through data insight
Cross-functional Collaboration
Work closely with leadership, product, and technical teams
Support wider platform initiatives through analytical input
Collaborate across teams to improve decision quality and strategic planning
Contribute to projects involving complex enterprise workflows and systems
What You Bring Essential
5+ years of hands-on experience in a commercial/industry setting as a Data Scientist, Advanced Analytics professional, or in a closely related role (excluding academic, internship, or university-only research)
Proven track record of applying statistical modelling and hypothesis testing to solve real-world business problems
Commercial proficiency in Python, SQL, and data analysis tools with experience building clean, maintainable, production-ready code
Demonstrated experience handling incomplete or unstructured datasets within real-world business environments
Strong problem-solving and critical thinking skills
Ability to explain complex findings clearly to both technical and non-technical audiences
Desirable
Experience in AI/ML environments
Experience with predictive modelling and experimentation frameworks
Exposure to enterprise platforms or product strategy environments
Experience working alongside Computer Vision workflows, particularly within existing image analysis frameworks
Familiarity with collaborating across CV-based environments and supporting visual data modelling
Key Attributes
Highly analytical with strong attention to detail
Comfortable working with ambiguity and undefined problems
Able to challenge ideas constructively and confidently
Strong communication and stakeholder management skills
Focused on practical outcomes and business impact
Success Criteria
Clear validation of key internal theories and assumptions
Improved decision-making through structured analytical insight
Stronger use of data in strategic and technical planning
Well-defined models supporting business and platform growth
Effective collaboration across technical and leadership teams
Summary This role is ideal for someone who enjoys solving complex problems, testing assumptions, and turning uncertainty into clear direction. You will play an important role in helping the business make stronger strategic decisions by providing evidence, structure, and analytical confidence across key initiatives. Originally posted on Himalayas