Data Scientist

Mentimeter

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE Are you passionate about advancing the data science craft and leading work that drives measurable business impact across teams?  Join Mentimeter as a Senior Data Scientist, where you will play a pivotal role in shaping how data science supports our Enterprise go-to-market motions and helps Mentimeter make better strategic decisions. Data is central to how Mentimeter succeeds. At Mentimeter, the Catalyst department is on a mission to realise our company strategy and drive innovation, growth, and impact throughout the company by using data, automations and generative AI. In this role, you will collaborate with cross functional teams, senior stakeholders, and company leaders to identify high impact opportunities and turn them into data science solutions that improve decision making, customer outcomes, and revenue growth. You will join the Revenue Analytics team, working at the intersection of analytics, data science, revenue operations, and business. Your work will not only influence team and functional outcomes, but also contribute to broader cross functional goals across our go-to-market organisation. WHAT YOU’LL DO * Lead data science initiatives and workstreams for our Enterprise go-to-market motions, from opportunity discovery and problem framing through to delivery, adoption, and impact measurement. * Design, build, and productionise machine learning models and data products such as predictive scoring, clustering, forecasting, segmentation, recommendation, and prioritisation models. * Identify and shape high impact opportunities across retention, engagement, revenue growth, sales efficiency, customer lifecycle, and go-to-market performance. * Partner with Revenue Operations, Product Analytics, Analytics Engineers as well as senior business stakeholders and company leaders to align priorities and drive impact. * Set and evolve data science craft standards, including best practices for modelling, code quality, deployment, monitoring, documentation, automation, and responsible use of AI. * Mentor and guide data scientists, analysts, and cross functional partners, helping raise the quality and impact of data science work across the function. * Communicate recommendations and complex analyses in a way that influences decisions across different levels of the organisation. WE BELIEVE YOU HAVE * A minimum of 8+ years of relevant experience in data science, analytics, machine learning, or a closely related field. * A proven track record of leading data science projects or workstreams end-to-end, including problem framing, stakeholder alignment, technical delivery, adoption, and impact measurement. * Deep expertise in data science methodologies, with strong proficiency in Python, SQL, machine learning, statistics, and applied modelling. * Experience using AI tools such as Cursor, Claude, or similar to improve productivity, automation, and delivery quality. * Strong business acumen, with the ability to connect data science opportunities to strategic business objectives across sales, marketing, product, revenue operations, customer engagement, retention, or growth. * Experience navigating ambiguous or complex business problems, identifying the right analytical approach, and driving alignment across multiple teams. * Strong software and ML engineering practices, including git, code reviews, testing, versioning, monitoring, documentation, and writing performant, maintainable code for production use. * Experience setting or improving technical standards, best practices, reusable patterns, or ways of working within a data science, analytics, or engineering team. * Exceptional communication and stakeholder management skills, with experience in influencing senior stakeholders priorities and decisions through clear narratives, visualisations, and recommendations with clear business impact. * A track record of mentoring others, providing technical guidance, and fostering a culture of high standards, continuous learning, and collaboration. * Experience collaborating closely with data engineers or analytics engineers on data pipelines, model deployment, monitoring, and scalable data foundations. NICE TO HAVE * Familiarity with modern data tools such as Snowflake, Hex, dbt, or similar. * Experience with cloud platforms such as AWS or Google Cloud. * Experience working in a SaaS environment, especially with enterprise go-to-market, revenue, customer lifecycle, product usage, or retention data. * Experience influencing company-level priorities through data science, analytics, or strategic insight work. NOT REQUIRED * Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities) * A traditional cover letter is not required as part of your application ---------------------------------------------------------------------------------------------------------------------------------- 📍 LOCATION: This is primarily an onsite role located at Mentimeter HQ in Stockholm, with a hybrid approach and ability to work from home up to twice per week. Please note that we do not offer visa relocation sponsorship for this position.   💡OUR RECRUITMENT PROCESS: 1. Introduction interview 2. Competence interview, including a live case. 3. Personality & Logical ability test 4. Culture interview 5. References & Offer ---------------------------------------------------------------------------------------------------------------------------------- Compensation:  At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 70,000–SEK 86,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm. What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. *  There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

Mentimeter

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE As an Analytics Engineer in the Analytics Foundation team, you help the whole company use data with confidence. You sit in a small team with real ownership: we shape how analytics engineering is done here, not only what gets built. You will make architectural decisions for data modelling and set the bar for quality, maintainability, and how we work. This is not a role where you only implement models from a backlog of “orders”; you partner with the business and with technical teams, surface trade-offs when needed, and help prioritise work that compounds. We spend most of our time on larger initiatives that improve the platform and how people use data, rather than reacting to a constant stream of ad-hoc questions. The team has a high degree of autonomy over its agenda, little firefighting, and we have invested for years in automating repetitive work so we can focus on impact. You will work hands-on with modern data tooling and with AI-assisted workflows, including coding agents and agent-style automation where they genuinely speed up design, review, and deliver, while staying responsible for correctness, governance, and clarity for stakeholders. You will develop and maintain core models, quality practices, and governance; support the warehouse and pipelines; and help teams get the most from BI and GTM tooling. Tools in our stack include Snowflake, dbt core, Hex, Prefect, Fivetran, and Hightouch (among others). KEY RESPONSIBILITIES: * Design, own, and evolve core data models and the modelling architecture; including how they connect to pipelines, freshness, and operational reliability in the warehouse. * Empower the organization to use and interpret data. * Partner with business and technical stakeholders from problem framing to shipped artefacts: clarify requirements, suggest better approaches when a request would not scale, and drive or co-drive cross-team initiatives that improve how data is used. * Collaborate closely with other data professionals; this includes giving actionable feedback in code reviews as well as actively supporting with data modeling  * Combine subject matter expertise and a high level business understanding to contribute to the direction and strategy for Mentimeter in the realm of data modeling, AI-Analysis, BI-tooling and data activation in GTM-Tooling. * Develop, own and maintain data modeling standards and the data development experience * Improve how we work at scale: thoughtful automation and AI-assisted engineering (e.g. coding agents and repeatable workflows) with human accountability for correctness and compliance. * Maintain and grow how knowledge is surfaced, e.g in semantic models, a data catalog, or documentation WE BELIEVE YOU HAVE: * Roughly 4-7 years of relevant hands-on experience as an Analytics Engineer, Data Analyst, Data Scientist, BI Analyst, or similar (or equivalent depth if your path is non-linear). * Strong SQL and sound judgment in data modelling (grain, reusability, naming, and how metrics should behave). * Experience partnering across departments, including leading or co-leading cross-functional work that shipped something others use. * Strong business acumen with an understanding of sales, marketing, and product analytics. * Ability to map ambiguous stakeholder needs to clear, maintainable models and artefacts. * Experience with BI-tools and development of BI features  * Knowledge of software collaboration using git. * Communication in English with both technical and non-technical audiences; interest in helping others grow their data skills. * Experience working with GDPR-sensitive data and collaborating with legal experts on compliance assessments. IT IS BENEFICIAL IF YOU HAVE: * Hands-on experience with dbt (or similar) * Experience with a semantic or metrics layer * Experience using AI-assisted coding or coding agents in a disciplined way (reviews, tests, documentation), with clear judgment about automation vs verification for production data work. * Professional experience working in an agile environment NOT REQUIRED: * Swedish is not required (daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities). * A cover letter is not required as part of your application ---------------------------------------------------------------------------------------------------------------------------------- 📍 LOCATION: This is primarily an onsite role located at Mentimeter HQ in Stockholm, with a hybrid approach and ability to work from home up to twice per week. Please note that we do not offer visa relocation sponsorship for this position.   💡OUR RECRUITMENT PROCESS: 1. Introduction interview 2. Competence interview, including a live case. 3. Culture interview 4. References & Offer ---------------------------------------------------------------------------------------------------------------------------------- Compensation: At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 50,000–SEK 68,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm.  What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. *  There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

Avaron AB

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.