Statistical Modeling

Techrytera AB

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description What You’ll Do You will perform statistical analyses of fleet data to help stakeholders gain better insight into vehicle behavior. You will use machine learning and statistics to make predictive models for vehicle systems, and visualization techniques to present complex results to stakeholders in a clear and understandable way. You will also write code in Python, review and give feedback on your colleagues’ code, construct dashboards, and enable automated, continuous feedback on software and hardware quality. Who are You? We love what we do, and we think it’s important that you do too. You should be eager to learn and develop your knowledge and skillset, and support others with their personal and professional growth as well. You must be open to ideas from others, even when they may be less experienced than you – we value both ambition and humility! Key Competencies •Exploratory and confirmatory data analysis •Pyspark, SQL, and ETL pipelines •Visualization tools (specifically matplotlib and seaborn) •Ability to write clean, readable code in Python that follows best practices •Scientific computing libraries (e.g. numpy, scipy, pandas, polars) •Basic proficiency with git •Computing platforms such as Databricks and Jupyter Meritorious •Experience within the automotive and diagnostics domain •Experience in high voltage battery design, analytics, assembly, or repair •Machine learning and statistical modeling •Developing software with Linux systems •Cloud technologies such as Azure and AWS Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

Lovable Labs Sweden AB

TL;DR - We are looking for a data scientist to build Lovable's data and analytics muscle. You'll work cross-functionally across all teams to level up our understanding of users, uncover opportunities and empower everyone with the insights they need for data-driven decision making. Must combine analytical rigor with the ability to turn complex data into winning product bets. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for A business-minded data scientist who's excited to level up our analytics efforts: metrics frameworks, behavioral models, and hypothesis testing Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights Deep curiosity about user behavior and what actually drives growth and retention Ability to move between exploratory analysis, building behavioral models, hypothesis testing, and strategic recommendations What you’ll do Work closely with growth, product, and marketing to identify key levers in the customer journey Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions Build dashboards, alerts, and automated reporting to keep the team informed and aligned Design and analyze experiments (A/B tests, growth tests) to understand, impact and inform strategy Monitor data quality and collaborate with engineering to maintain reliability Leverage AI tools and automation to scale your analysis and focus on high-impact questions Translate data into clear, actionable narratives that drive product and business decisions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an initial exploratory call. Discuss your experience in more depth during a round of interviews with us. Join us for a workshop lasting 1-2 days remote or onsite. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you. About your application Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested please apply through our careers portal.