• Design and implement data science, ML, and AI solutions to support strategic decision-making • Conduct deep-dive ad hoc analyses—both quantitative and qualitative—to inform business hypotheses and guide improvements • Contribute to cross-functional projects involving data science, ML, and AI engineering use cases • Develop knowledge bases from structured and unstructured data sources to support RAG systems and AI agents • Build data applications using frameworks like Streamlit to provide internal stakeholders access to intelligent AI capabilities • Help develop and refine processes to ensure business solutions align with strategic goals • Partner with stakeholders to deliver actionable insights and recommendations • Continuously improve existing processes and identify opportunities for efficiency gains

• Lead the data science team to work on small-to-medium scale, high-impact R&D projects • Coach and develop your team through regular 1:1s, performance reviews, and career conversations • Foster a culture of responsible AI, innovation, and technical excellence • Work closely with PM, UX, D&R, Security, and Engineering to contribute to product strategy • Collaborate with peer teams to define Expel's generative AI and LLM strategy • Engage in resource planning, technical decision making, and budget management • Define clear, measurable milestones for research initiatives • Contribute to and maintain responsible AI practices • Partner with Marketing to develop blogs, papers, and talks

• Define and execute the roadmap for the Data Intelligence Platform, in close relationship with Actian CPO, moving beyond traditional metadata management into AI-native Data Products and Agentic Governance. • Manage and mentor a high-performing team of 5–8 Product Managers across Europe and the US, fostering a culture of technical excellence and rapid delivery. • Oversee the development of AI Agents that interact with data products, enabling conversational discovery and proactive data governance for CDOs. • Own the relationship with industry analysts (Gartner, Forrester). Your goal is to position Actian as a leader in Data Management and Governance categories. • Work hand-in-hand with the SVP of Product Engineering. You must be able to "speak engineer," understanding AI-driven development workflows and cloud-native architecture. • Act as the face of the product for Chief Data Officers and Data Governance leaders, helping them modernize their data stacks and transition from legacy systems to a unified AI-driven platform.

Title: Senior Data Scientist Locations: Remote (Canada) Remote (United Kingdom) Remote (United States) Remote (Germany) Remote (Brazil) Department: Sensor Research Job Description: NEW CAREER OPPORTUNITY Build your career with Kraken Robotics. Make a difference to others. If innovation drives you, and you want a career that makes a difference to the world, helping humanity overcome the challenges in our oceans – safely, efficiently, and sustainably – then come join us at Kraken Robotics. Kraken Robotics is currently seeking a Senior Data Scientist to join our team. This position can be Remote or working out of any of our Global Offices. Kraken’s Sensor Research Group (SRG) is dedicated to accelerating innovation in sensor technology through agile prototyping and hands-on experimentation. By rapidly exploring new concepts and technical pathways, the team aims to uncover opportunities and address potential limitations early in development—well before significant resources are committed to scaling or commercialization. The SRG also addresses urgent technology challenges, defects, and operational issues by leveraging in-house Subject Matter Experts to develop fast, field-testable solutions. This quick feedback loop helps refine or redirect development efforts efficiently. We are currently seeking a Senior Data Scientist with expertise in marine data processing. Experience with AI/ML techniques applied to sensor data is a strong asset. Kraken fosters a culture of collaboration, experimentation, and calculated risk-taking. Within the SRG, this translates to rapid prototyping, frequent iteration, and close engagement with operators to ensure solutions are grounded in real-world performance. The group values agility over perfection - quickly developing and testing ideas to learn what works, what doesn't, and where to go next. Roles and Responsibilities: - Develop, maintain, and execute strategic research initiatives within the Sensor Research Group. - Conduct hands-on R&D and prototyping across Kraken’s portfolio of underwater sensor systems, sonar processing, and machine learning-based analytics. - Identify innovation opportunities and assess emerging technologies in sensor processing and data analytics. - Enhance and expand Kraken’s data processing pipelines, workflows, and infrastructure. - Improve access to existing datasets and apply them to model training, validation, and broader team use in research and development efforts. - Contribute to the scientific community through collaborative research, conference participation, academic publications, and partnerships with universities. - Support business development through technical discussions with customers and contributions to proposal writing. - Participate in knowledge-sharing events, technical workshops, and cross-functional innovation discussions. Qualifications and Experience: - Education: Master’s / PhD degree in Computer Science, Applied Mathematics, or a related field, with a focus on data processing, machine learning, or sensor analytics. - Experience: - - 8+ years experience in research and development or industry - Experience with marine data processing - Technical Expertise: - - Experience in cloud infrastructure and scaling - Knowledge of marine geospatial data and related formats - Background in machine learning and large data processing - Proficiency in Python and C++ - Familiarity with GPU-accelerated computing and distributed data architectures - Knowledge of sensor fusion, sonar processing, sensor processing and data analysis, or other relevant technologies. - Familiarity with underwater environment dynamics and applications of underwater sensor systems. Preferred Skills: - Strong problem-solving and analytical abilities with a focus on innovation and practical application. - Proven ability to self-organize research efforts, including defining and pursuing ambitious technical objectives. - Comfortable working in a fast-paced, multidisciplinary, and highly collaborative environment. - Familiarity with agile development methodologies and rapid prototyping approaches. - Excellent communication skills for presenting technical findings and collaborating with both technical and non-technical stakeholders. - Effective at managing time and resources in support of evolving research priorities.