Senior Applied Scientist at SoftwareMind | Kraków

Join our dynamic team at Lingarogroup as a Senior Fullstack Data Scientist. In this role, you will leverage your expertise in data science and software engineering to develop innovative data-driven solutions. You will work collaboratively with cross-functional teams to analyze complex datasets, build models, and implement algorithms that drive decision-making processes. Your contributions will be pivotal in shaping our data strategy and enhancing our product offerings.

Join InPost as a Senior Data Scientist to drive operational excellence. In this role, you'll leverage your analytical expertise to optimize data-driven decisions and enhance our operations. You will collaborate with cross-functional teams, utilize advanced statistical methods, and develop predictive models to improve efficiency and performance.

Join Lingarogroup as a Senior Data Scientist and be at the forefront of innovative data-driven solutions. In this role, you will leverage your expertise to develop sophisticated models and algorithms that drive decision-making and enhance business performance. Your responsibilities will include analyzing complex data sets, collaborating with cross-functional teams, and providing actionable insights to stakeholders.

Addepar is looking for a Senior Fullstack Software Engineer in Poland to focus on Portfolio Data Workflows. This position centers on designing and building solutions that strengthen portfolio management features for clients. Role overview This role involves developing and implementing software that improves how portfolio data is managed and processed. Working closely with cross-functional teams, you will help deliver reliable and effective tools that support client needs. Collaboration Expect to work alongside engineers, product managers, and other stakeholders to ensure software quality and alignment with business goals. Communication and teamwork are key parts of the day-to-day work. What you will do Design and implement solutions for portfolio data workflows Enhance portfolio management capabilities through fullstack development Collaborate with various teams to deliver high-quality software

Join HelloFresh in the vibrant city of Warsaw, where you will be part of HelloTech, our global technology backbone consisting of over 1,000 talented individuals dedicated to crafting digital products that enhance our complete food experience. Our range includes meal kits, ready-to-eat meals, and specialty offerings such as pet food and premium meat & seafood, all designed to provide personalized food solutions to millions of customers monthly.At HelloFresh, our subscription-based, direct-to-consumer model is heavily reliant on advanced technology at every phase—from customer-facing applications and personalization algorithms to pricing strategies, forecasting, supply chain optimization, and initiatives that effectively minimize food waste. While each of our brands operates independently to cater to diverse customer needs, they benefit from a unified platform, shared data, and operational excellence fostered by HelloTech.HelloTech operates through autonomous, cross-functional teams that take ownership of specific products or domains from start to finish. By collaborating with our Warsaw office, you will play a crucial role in developing scalable, data-driven products utilized across various markets, leveraging a modern tech stack alongside international teams to continuously enhance how customers discover, order, and relish HelloFresh’s offerings.

Join HelloFresh in the vibrant city of Warsaw as part of our innovative HelloTech team, the global technology backbone of HelloFresh, consisting of over 1,000 talented individuals. Together, we craft the digital solutions that enhance our end-to-end food experience, from meal kits and ready-to-eat meals to specialized offerings such as premium meat, seafood, and pet food. Our HelloTech division is dedicated to creating platforms that deliver personalized food solutions to millions of customers each month. Our subscription-based, direct-to-consumer model is driven by cutting-edge technology at every stage, from customer-facing applications and personalized recommendations to pricing strategies, forecasting, supply chain optimization, and initiatives aimed at minimizing food waste. While each of our brands serves specific customer needs independently, they are unified by shared platforms, data, and operational excellence established by HelloTech. HelloTech operates through autonomous, cross-functional teams, each responsible for their specific products or domains. By joining our Warsaw office, you will have the opportunity to design scalable, data-driven products utilized across multiple markets, collaborating with a modern tech stack and international teams to continually enhance how customers discover, order, and enjoy HelloFresh products.

Join HelloFresh in Warsaw as part of our HelloTech organization, a global technology team with over 1000 members dedicated to creating innovative digital products that enhance our complete food experience. From meal kits to premium meat and specialty offerings like pet food, HelloTech builds the platforms that deliver customized food solutions to millions of customers every month.Our subscription-based, direct-to-consumer model is powered by technology at every level, from customer-facing applications and personalization algorithms to pricing strategies, supply chain optimization, and initiatives aimed at minimizing food waste. While our distinct brands cater to various customer needs, they all benefit from the shared platforms, data, and operational excellence that HelloTech provides.In the Warsaw office, you'll be part of autonomous, cross-functional teams that manage specific products or domains from start to finish. You'll contribute to the development of scalable, data-driven products utilized across our markets, collaborating with modern technology stacks and international teams to enhance how people discover, order, and enjoy HelloFresh's offerings now and in the future.

Join HelloFresh in Warsaw as part of our innovative HelloTech organization, which serves as the global technology backbone for our company. With over 1000 talented individuals, we build the digital solutions that enhance our end-to-end food experience. From meal kits and ready-to-eat options to specialty items like pet food and premium meat & seafood, HelloTech develops platforms that deliver customized food solutions to millions of customers every month. Our subscription-based, direct-to-consumer model is powered by technology at every phase, including customer-facing applications, personalized offerings, pricing strategies, forecasting, supply chain efficiency, and initiatives to minimize food waste. While our brands operate independently to meet unique customer requirements, they are unified by shared platforms, data insights, and operational excellence cultivated by HelloTech. At HelloTech, we operate in autonomous, cross-functional teams, each responsible for a specific product or domain. By collaborating in our Warsaw office, you will contribute to creating scalable, data-driven products utilized across our markets, employing a modern tech stack and international teams to enhance how individuals discover, order, and enjoy HelloFresh products now and in the future.

Join our innovative Threat Intelligence team at Nordsec as a Senior Data Scientist. In this pivotal role, you will analyze complex data sets to enhance our cybersecurity measures and protect our clients from emerging threats. You will leverage advanced analytical techniques and machine learning algorithms to derive insights that inform strategic decisions.

Are you a passionate data scientist looking to make a significant impact? Join us at Lingarogroup, where we harness the power of data to drive innovation and solve complex problems. We are seeking a talented individual who is motivated to analyze data and generate insights that guide our strategic decisions.

Join our dynamic team at evolution as a Data Scientist. In this pivotal role, you will harness the power of data to drive strategic decision-making and enhance our product offerings. Collaborate with cross-functional teams to analyze complex datasets, identify trends, and develop predictive models that will help shape the future of our business.

SoftwareMind is looking for a Data Scientist in Kraków to help turn data into practical insights. This position focuses on building predictive models and supporting data-driven decisions across various projects. Role overview The Data Scientist will analyze complex datasets and develop models that support business goals. The work involves collaborating with teams to improve how data informs decisions and contributes to ongoing innovation. What you will do Develop predictive models to address business challenges Apply analytical skills to interpret data and present findings Support projects that use data to guide decisions and outcomes Location This role is based in Kraków.

Join our dynamic team at InPost as a (Senior) Data Scientist specializing in personalization. In this role, you will leverage your data analysis skills and machine learning expertise to create personalized experiences for our users. You will be responsible for developing and implementing innovative algorithms that enhance user engagement and satisfaction. Collaborate with cross-functional teams to transform data insights into actionable strategies that drive our business forward.

Join the forefront of online security with the world's leading VPN provider.If you are an inquisitive problem-solver eager to innovate, become a part of the team spearheading Threat Protection Pro, the NordLynx protocol, and the fastest VPN available—empowering users with enhanced privacy, security, and control over their data.Your contribution? Enabling millions to reclaim their online security, privacy, and data.Our Threat Intelligence team is committed to delivering precise and timely insights regarding potential threats to our products. Our diverse team of experts spans various disciplines, including Data Science, Malware Research, Development, and Privacy, all working towards a unified objective through the application of data feeds, heuristics, algorithms, and machine learning.Key ResponsibilitiesDesign and implement solutions to complex problems while conducting research, debugging, and data analysis across various sources;Create scalable, reliable code and document your contributions and explorations;Research, develop, and deploy data science solutions to production;Develop custom machine learning metrics to monitor model performance;Analyze validation/testing outcomes, provide explanations, and refine model designs accordingly;Collaborate with team members to plan deliverables;Perform code reviews to ensure quality;Maintain open communication regarding project progress;Mentor colleagues and share knowledge within the team;Propose enhancements to existing solutions.Core QualificationsDemonstrated experience in data science and/or mathematical modeling;Strong understanding of statistical methods (e.g., Monte Carlo, hypothesis testing, bootstrap, Bayesian inference);Extensive knowledge and practical experience with machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.;Proficiency in Python and hands-on experience with the PyData stack (e.g., Pandas, NumPy, etc.);

Join HelloFresh in Warsaw as part of the HelloTech organization, our global technological backbone consisting of over 1000 professionals dedicated to developing digital solutions that enhance the food experience. Our offerings range from meal kits and ready-to-eat meals to specialized items like premium meats and seafood, and even pet food. HelloTech is responsible for building the platforms that deliver customized food solutions to millions of customers each month. Our subscription-based, direct-to-consumer model leverages technology at every stage, from customer-facing applications and personalized recommendations to pricing strategies, forecasting, and supply chain optimization. Each of our brands operates autonomously to meet unique customer needs, yet they are all interconnected through shared platforms, data, and a commitment to operational excellence driven by HelloTech. In our Warsaw office, you will contribute to the development of scalable, data-driven products that will be utilized across our markets. Collaborating with a modern technology stack and international teams, you will continuously enhance how customers discover, order, and enjoy HelloFresh’s diverse offerings now and into the future.

QED (https://qed.ai) is an innovative tech firm dedicated to enhancing public health and ensuring food security in Sub-Saharan Africa. Our mission involves developing cutting-edge digital infrastructure and artificial intelligence solutions that bridge the gap between humanitarian aid and scientific research. This includes in-situ nutrient analysis of crops, soils, and foods, along with national-scale surveillance of diseases such as HIV and malaria across multiple African nations. Our organization is proudly supported by various philanthropic and governmental entities, including the Gates Foundation, the Polish Ministry of Agriculture, and the Global Fund.We are excited to invite a talented Data Scientist to our Warsaw team, focusing on ScanSpectrum (https://scanspectrum.qed.ai), a revolutionary low-cost handheld spectrophotometry kit designed to evaluate the quality parameters of food and agricultural products.

Join our innovative project aimed at revolutionizing business processes through cutting-edge artificial intelligence and advanced technologies. This initiative leverages intelligent data management and supports automated decision-making while ensuring efficiency, security, and scalability.ResponsibilitiesDesign and implement sophisticated algorithms for generative AI models that improve human-machine interaction in targeted industries.Perform comprehensive analysis of extensive datasets to extract valuable insights, trends, and patterns aligned with the objectives of the joint venture.Develop and train generative AI models, ensuring their reliability and performance through thorough evaluation methods.Collaborate with a skilled team, learning and contributing to the transition from traditional language models to state-of-the-art Large Language Models (LLMs) and fine-tuning methods such as LoRA and QLoRA.Keep updated with the latest advancements in AI and generative models (including open source), proposing and implementing creative solutions to enhance our technology's capabilities.Gain a profound understanding of the shipping and industrial sectors to customize generative AI solutions that tackle specific challenges and opportunities within these domains.

Join Lingarogroup as a Data Scientist focused on Generative AI, where you will leverage cutting-edge technologies to drive innovation and enhance data-driven decision making. You will collaborate with cross-functional teams to develop advanced AI models that solve complex problems and create impactful solutions.

At Samba TV, we are revolutionizing the way audiences experience streaming and broadcast video worldwide through our cutting-edge data and technology. Our mission is to enhance the viewing experience by empowering media companies to connect with their audiences effectively, while enabling advertisers to engage viewers and accurately measure their reach across multiple devices. With a unique global perspective rooted in our extensive data and AI-driven insights, we have an incredible story to tell.As a Data Scientist on our Knowledge Graph & Identity team in Warsaw, you will take ownership of delivering impactful data science projects from inception to completion with minimal supervision. We are seeking a dependable, self-sufficient contributor who possesses deep expertise in one of Samba's key areas—knowledge graphs, identity spine, measurement, or audience modeling. You will have the technical prowess to create production-ready solutions leveraging modern machine learning (ML) and artificial intelligence (AI) methodologies. Your role will involve close collaboration with your peers, product teams, and engineering, as well as mentoring junior data scientists within the team.