Senior Data Scientist - Stealth AI

Neon

SENIOR DATA SCIENTIST – STEALTH AI / DATA STARTUP ABOUT NEON Many large companies make billions each year by monetizing Americans’ personal data. At Neon, we’re finally cutting consumers in on the deal. Neon allows our users to make hundreds (or even thousands) of dollars per year by securely selling their anonymized data. We recently raised over $25 million from investors including Lightspeed, Upper90, and Upfront Ventures. About the Role We’re building something big at the intersection of media, consumer data, and AI. We’re seeking a Senior Data Scientist to define and drive the analytical and experimental work that connects our data systems to real business and customer outcomes. You’ll be a strategic partner across product and engineering, helping shape decisions around experimentation, tooling, and insights that matter most to our users. WHAT YOU’LL BE WORKING ON * Own end-to-end experimentation and analytical workflows that help the business learn fast and make confident decisions rooted in data. * Work closely with product, data engineering, and business stakeholders to start with customer and business goals, and work backwards to design the right experiments, features, metrics, and models. * Focus initially on optimizing our data pipeline for media data (audio and text) — helping improve throughput, quality, and utility of data as it flows through our systems. * Contribute to the evolution of our data infrastructure to support more advanced capabilities — including eventual creation of novel datasets and internal modeling workflows (e.g., for voice or multimodal data). * Design, analyze, and interpret experiments across tools/services/technologies to identify what works best — producing actionable insights that influence product direction, operations, and future research. * Translate complex analytical outcomes into clear business insights and product recommendations, occasionally contributing to broader thought leadership and research narratives. WHAT WE’RE LOOKING FOR * Strong analytical background (e.g., statistics, experimentation, causal inference) with several years of real-world experience in data science or research-oriented roles. * Comfort operating independently and pragmatically in a startup environment, balancing speed and rigor. * Excellent communicator who can bridge technical and business audiences — asking the right questions, framing hypotheses, and presenting findings effectively. * Demonstrated ability to guide experimentation from design through interpretation, and connect results back to product and business levers. NICE TO HAVE * Experience with media-centric data (audio, video, text) and related tooling or models. * Familiarity with machine learning workflows, model evaluation, and production experimentation frameworks. * Additional experience with OOP languages, particularly JavaScript * Bonus points if you’ve worked closely with voice AI, speech, or related media AI labs or contributed to their research efforts. WHAT WE OFFER * Competitive compensation with equity upside * Opportunity to shape direction of analytics and modeling at an early stage * A collaborative team environment and a fun, can-do attitude! :)

Volvo Personvagnar Aktiebolag

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a senior data scientist, you will turn large‑scale engineering data into insights and models that guide product development and engineering decisions. You will design, train, validate, and deploy advanced ML models, particularly for sensor signals and other complex data sources.  You will take a leading role in shaping innovative projects, stay up to date with the latest AI developments to ensure we use the most suitable methods, and evolving how we work with vehicle data across Volvo Cars. You will mentor and guide other data scientists, collaborate across disciplines to identify impactful opportunities, and help to build a strong, inclusive analytics community within Volvo Cars Engineering.     This role is ideal for someone who combines deep technical expertise with a passion for leadership, mentorship, and driving innovation.  What you'll bring You have a strong quantitative background, with a Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 5+ years of experience in a data science or similar role. You are comfortable leading by example, guiding others, setting technical direction, and raising the quality of analytical work across teams.    You bring an experimental mindset, balancing speed and rigor to iterate quickly and deliver impact. You have experience owning machine learning or analytical projects end-to-end, from ideation through to deployment, and you are able to clearly communicate insights to non-technical stakeholders.    You likely have experience in several of these areas:   Strong experience with Python and solid understanding of software and data engineering practices for production systems  Strong familiarity with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  You have experience building data pipelines on platforms such as Databricks or Snowflake  Theoretical understanding and practical experience in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with software versioning (e.g., Git)   Experience with generative AI or LLM-based applications    Beneficial:  Experience or familiarity with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge  Experience mentoring or leading technical work    You would thrive in a collaborative environment while feeling confident driving technical direction. You would lead through knowledge‑sharing, encouragement, and clarity as well as communicate effectively with diverse audiences. You bring curiosity, creativity, and strong analytical rigor. You inspire others through initiative, openness, and responsibility. You bring your experience in shaping processes, methods, and standards.

H & M Hennes & Mauritz GBC AB

Job Description WHAT YOU’LL DO​ As a Senior Data Scientist, you will work hands on to solve complex business and product problems using data and machine learning. You will collaborate closely with cross functional teams and be expected to work pragmatically, navigate ambiguity, and focus on delivering measurable impact. Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production. Design, deploy, and operate LLM‑powered tools and workflows in production, with responsibility for evaluation, monitoring, and continuous improvement Apply statistical methods, machine learning, and advanced analytics to support product and business decisions. Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long‑term maintainability. Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements. Perform exploratory and ad hoc data analysis, and present insights in a clear and structured way. Communicate closely with stakeholders to translate business needs into analytical approaches and explain outcomes in an accessible manner. Contribute to technical standards, best practices, and knowledge sharing within the data science community. ​ WHO YOU’LL WORK WITH​ You will work in cross‑functional teams together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science community, collaborating with other data scientists to share knowledge, align on best practices, and continuously improve how data science is applied across the organisation. ​ ​ WHO YOU ARE​ We are looking for people with…​ ​A Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field. Strong theoretical and practical knowledge of statistics and machine learning. Proven experience developing and deploying machine learning models in cloud environments beyond notebook‑based work. Hands‑on experience building and deploying LLM‑based applications, including fine‑tuning, retrieval pipelines, and prompt engineering. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar libraries. Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally in a cloud environment. And people who are…​ Strong in their SQL skills for data manipulation and analysis Familiar with DBT or similar data transformation tools​ Experienced with vector databases and embedding models Excellent communicators and confident taking ownership and accountability Comfortable working in ambiguity while being proactive ​Please note that we will not be able to offer relocation for this role, so we will not be able to proceed with candidates living/working outside of Sweden. WHO WE ARE​ H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ ​ We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ ​ WHY YOU’LL LOVE WORKING HERE ​ At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​ We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. ​30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year (from Jan 1, 2026) Benify Benefits Portal Community with activities JOIN US​ Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​ Take the next step in your career together with us. The journey starts here.​ *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.