
Avaron AB · Stockholm
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists acro...
About the Company
At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development.
About the Role
You will take a key role in strengthening and scaling a production-grade optimization solution in a data-intensive environment. The work combines advanced analytics, Linear Integer Programming, and MLOps, with a strong focus on making models reliable in production rather than only building prototypes. You will work across the full flow in a sophisticated Python codebase, from data wrangling and model improvement to deployment, monitoring, and stakeholder dialogue.
This role is a strong fit if you enjoy turning complex business needs into robust technical solutions and want to influence how optimization models evolve in production.
Job DescriptionYou will maintain and improve the existing optimization model by identifying limitations and implementing enhancements.
You will present model outputs and analytical insights to stakeholders, turn business needs into technical solutions, and continuously incorporate feedback into the product.
You will help ensure that the deployed AI product on GCP remains robust, efficient, and reliable through monitoring and ongoing maintenance.
You will improve data preparation and wrangling pipelines and integrate additional data sources to strengthen model inputs.
You will collaborate with Data Scientists, ML Engineers, and Product Managers to improve the performance, scalability, and reliability of the optimization solution.
You will implement MLOps practices for deployment, monitoring, and lifecycle management of machine learning models.
You will perform ad hoc analyses and create visualizations that support data-driven decisions across teams.
RequirementsSolid knowledge of discrete optimization models, including Integer Programming and Mixed Integer Programming
Strong Python skills and the ability to write clean, efficient, modular, and production-ready code
Experience developing and deploying machine learning models in the cloud, with strong knowledge of GCP
Hands-on experience with MLOps and CI/CD pipelines in a production environment
Strong SQL skills for data manipulation and analysis
Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines
Familiarity with DBT for data transformation
Good understanding of software architecture and experience maintaining AI models in production
Ability to communicate results clearly, translate stakeholder needs into technical solutions, and work effectively in Agile cross-functional teams
What We OfferPermanent employment at Avaron AB
Occupational pension
Wellness allowance of SEK 5,000 per year
Application
Selections are made on an ongoing basis – apply as soon as you can.
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You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we're on a quest to find a Data Scientist. Let us tell you about the role 📖 As a Data Scientist at Nextory, you will be part of our centralized data team, supporting our Business value stream with an analytical mindset and tech-savvy approach to drive sustainable subscriber growth. You will work closely with stakeholders across Business, Marketing, and Product to create data-driven insights and models that improve decision-making and business performance. Some examples of what you might be spending your time on: Owning projections and forecasts related to activations and new paying subscribers Supporting budgeting, forecasting, and ad hoc business analysis with actionable insights Building and improving Nextory’s central data capabilities and ways of working Supporting the Performance Marketing team with MMM, attribution models, and other analytical frameworks to improve marketing efficiency Drive data-informed growth by analyzing user behavior, optimizing funnels, and running A/B tests to improve acquisition and conversion. Build dashboards, reporting tools, and measurement frameworks in collaboration with Product and Business to provide clear performance insights and support Nextory’s growth strategy. The main character we’re looking for 👀 We believe that you are currently working in a similar role at a fast-moving, product-focused company. You enjoy solving complex business challenges through data and are confident working with multiple stakeholders and know how to balance business needs with analytical rigor. Furthermore, we believe you have: Several years of experience working as a Data Scientist or Data Analyst Strong knowledge of SQL and Python Experience working with performance marketing, attribution modeling, Marketing Mix Modeling (MMM), or related analytical methods Good understanding of digital marketing channels such as Google Ads, Meta, SEO, and online customer acquisition Experience building dashboards or working with BI tools (e.g. Looker, Tableau, or similar) The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success - and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application. Applications are reviewed continuously, if you have any questions about the role, please contact Erika Thorslund, Talent Acquisition Partner, erika.thorslund@nextory.com Please note that we do not offer relocation and that a six-month probationary period applies.
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.