Data scientist

The goal of IPEX - IKEA Planning experience is to support and empower customers to find their personal best home furnishing solutions. We run and develop digital solutions used by customers and co-workers enabling them to design homes and home furnishing solutions for the entire IKEA range for all IKEA retailers. Part of our portfolio are planning solutions for Kitchens, Bathrooms, Storage solutions, Beds... Our next big step ahead will be to enable customers to design their full homes. Our customers should experience an inspiring, fun, simple and rewarding planning journey based on their needs and preferences. Our co-workers and service partners should experience a fun, efficient and unbroken sales process. The solutions and capabilities we develop are an integral part of the entire seamless buying and selling experience and a key contributor to converting visitors into happy customers and to engaging with our customers from the start. Utilizing data around and about our products to create more personalized experiences is an integral part of the work we do. IPEX deliver solutions to all IKEA retailers spanning over 50 markets worldwide and over 400 stores and IKEAs digital channels. All solutions are made to help customers and co-workers in all customer meetings, from a mobile phone to the largest IKEA store in the world. Job Description To be successful in this role You are passionate about using data to analyse and develop dashboards and models that help our customers find the home furnishing solutions that best fit their needs. You bring broad knowledge of modern applied algorithms (predictive and prescriptive) for extracting insights and making decisions based on data, a strength in statistics and general analytical knowledge. You make mistakes sometimes that keep you evolving and learning as you are not afraid to find new ways to solve a challenging task together with your colleagues. You have a great interest in the world around you and keep yourself updated with the latest trends and future technology, just as we do. You will have the following knowledge, skills and experiences: Comprehensive understanding of statistical and machine learning techniques Able to understand various data structures and common methods in data transformation Proficiency with an appropriate set of languages, technologies, and frameworks (e.g., Python, R, Julia, Stan, TensorFlow, Keras, Jupyter, Databricks, Azure ML, ADLS) and cloud environments (e.g. Azure, AWS, Google) Proficiency with Data modelling techniques and concepts Experience from the business that the product area (Data) is supporting and enabling Preferred: previous knowledge/experience of ontology modelling and semantic technology Experience as a project member in an Agile project environment and methodologies as well as in running business activities Ability to collaborate with others (including virtual) such as team members, stakeholders and suppliers to achieve goals Ability to explain statistical and machine learning techniques to non-technical stakeholders and software engineers Work with technology as a business tool and translate requirements into solutions, balancing user experience, business needs and IT constraints You will also: Facilitate the construction of transparent, reproducible, reusable and generalisable data science products and services Research and develop models for data analysis Design, develop and maintain data science models and infrastructures, for your area or product. Communicate results and ideas to key decision makers Contribute to the dissemination of methodologies, accelerators or algorithms created for specific models or analysis Make sure that the insights and conclusions from data science are easily available to other parts of the organisation Support a culture of data-driven decision making across IKEA organisations Continuously improve existing models and environments Work closely together with data engineers, architects, analysts, peers, and other relevant roles across IKEA as well as in your team Ensure application and consistency with relevant digital frameworks, principles, guidelines, and standards Document and make the operational know-how of the data science models available to the IKEA ecosystem Keep up to date with the latest technology trends Assure quality and contribute to testing of deliverables Qualifications Qualification: Minimum: Masters degree in statistics, physics, mathematics, econometrics, computer science or related Preferably 5 years’ experience in equal or comparable position Ability to understand the complexity of the IKEA business and the role of technology as an integrated part of the business Working closely with multiple high-level Stakeholders and teams Strong Communication skills Additional information This role is full-time (40 hours per week) and will be based in Malmö, Sweden. This role sits within IPEX and reports to Niklas Johansson, who is the Architecture Manager. Travelling based on business needs might be necessary.

Are you passionate about revolutionizing the way data is managed and utilized? Are you eager to build sustainable data pipelines on Cloud with full Infrastructure as Code? Join our innovative team as a Senior Data Engineer specializing in Cloud Data Lakehouse and help us shape the future of decentralized, domain-oriented data architecture in Data Mesh way! Role Overview: · As a Senior Data Engineer, you will be a key player in the design and implementation of our data infrastructure. · You will work closely with Scania cross-functional teams, applying your knowledge to ensure data autonomy, discoverability, and quality. · You will work with a team of professional data engineers. We expect you to strongly contribute to the team expertise and education of a more junior team members. Key Responsibilities: · Build sustainable data pipelines with IaC Terraform + GitLab on AWS Cloud. · Build processing & transformation logic in PySpark. · Build ad-hoc analysis reports & queries through SQL. · Build expertise and get involved on Architecture decision on AWS and its native big data services like S3, DMS, EMR, Glue, EKS, Athena, Lakeformation, SNS, SQS, Lambda, EC2, Airflow etc. · Build sustainable pipelines for batch & streaming with CDC data processing. Good to have: · Knowledge of Open-source table format like Apache Iceberg. · Knowledge of data catalogue, audits, governance & access management on AWS. · Knowledge of Dremio. · Knowledge of Snowflake. · Sound programming on Scala is a plus. · Knowledge of monitoring either via Grafana or other open-source tools. · Understanding of data lakehouse concepts, setups, and data lakehouse design patterns. · Understanding of the Data Mesh principles · Understanding of the data governance principles. · Knowledge of cloud-native containerization is a plus. · Champion best practices in data engineering, ensuring data quality, reliability, and performance. Qualifications: · Bachelor's or Master's degree in Computer Science, Engineering, or a related field work experience. · Comprehensive experience designing, developing, and deploying data pipelines · Collaborate with domain teams/source teams to understand their data needs and design data pipelines. · Passion for promoting data autonomy, discoverability, and decentralized data governance. Why Join Us: · Competitive compensation and benefits package. · Driving innovation in data engineering. · Opportunities for professional growth and development. · Making a global positive impact on the transport industry with Scania. We work in a dynamic, agile, and collaborative environment where your knowledge and skills are highly valued. You will be encouraged to take initiative and dare to try new things as part of an agile and empowered development squad where we depend on each other while moving towards the common goal. We are offering a flexible work environment with the possibility to work at least part-time from home. You will also have the possibility to work from Scania’s hub in downtown Stockholm. We are diverse in nationality, age, experience, background and we work actively to achieve a more even gender balance in the team and therefore female candidates are encouraged to apply. If the above sounds like you, don’t hesitate to apply. We are interviewing continuously. A background check might be conducted for this position. Questions? Please contact recruiting manager Prerna Agrawal, e-mail: [email protected]

We are seeking a Data Scientist to join our mission in making fleets greener, safer, and more productive! You are passionate about data and have the talent to translate complex information to actionable insights for stakeholders. Your work will have a direct impact on our work and the future versions of our software. What you'll do Have a key role in developing our data analytics solutions Collaborate with product design and engineering teams to develop an understanding of needs Work with team members to implement data requirements and improve our data architecture Perform data analysis and present insights to stakeholders and teams Enable smarter business processes by using analytics for meaningful insights What we'd like from you You're a team player that enjoys collaborating with developers and stakeholders You have the ability to communicate complex concepts to non-technical stakeholders Ideally you have a proven track record of designing, developing, and maintaining data analytics solutions Strong SQL skills Understanding of data pipelines and ETL processes Strong fundamentals in mathematics, problem solving and data structures A desire to work in a dynamic company with no micro-management Fluency in both written and spoken English Bonus points Experience in ML and AI MSc in Mathematics, Computer Science or equivalent Why GpsGate At GpsGate, you have real impact. Our software helps companies worldwide in their day-to-day business by managing deliveries, cutting fuel emissions, ensuring the safety of their staff, and much more. Have the freedom to try out new things, find smarter ways to work with your team, and identify innovative solutions. Join a diverse team with colleagues from all over the world. And of course, we also have great benefits: Competitive salary 30 days paid vacation Annual company conference and local office outings Friskvårdsbidrag / health & fitness allowance Private health insurance ITP (pension retirement savings) If this sounds like the right opportunity for you, please submit your CV and cover letter in English. We look forward to hearing from you!

About Validio Validio provides the Data Trust Platform to help companies maximize return on data & AI investments—taking data observability past its early experiments by unifying deep data observability, quality, lineage, and catalog. The Data Trust Platform is built to help companies overcome data debt; the number one reason why data & AI projects fail. The platform helps data teams and business stakeholders jointly prioritize, validate, and improve their most business critical data assets. Validio is used by world leading companies including Truecaller, OfferFit, AB CarVal, and Voi. Too many companies struggle to see return on data and AI investments, caused by a lack of prioritization among data assets. We believe that the key to faster data and AI implementation is to prioritize, validate and improve the data that actually matters to the business. For data to be useful, it needs to be trusted—both by business users and data teams. Here, your colleagues consist of a senior team of data- and engineering professionals with diverse backgrounds from renowned research institutions, leading startups, and established tech companies. Named as one of the hottest start-ups in Stockholm by publications such as Wired, Validio is gearing up for expansion, and now you can be part of our journey! About the role & what you’ll do: We are looking for a Senior Data Scientist to join our team and help us push beyond what is currently possible in the area of data trust. Your daily responsibilities will include: Driving data science projects end to end, starting from a business problem, building hypotheses for a solution, defining data requirements, creating a prototype, implementing it into production, and measuring the business impact Contribute to the development of production-grade models, ensuring reliability and scalability, for e.g. predictions, optimization and anomaly detection Make improvements and maintain our data science ecosystem, which consists of both deployed models as well as the infrastructure required to support them Contribute to the discussion related to tech-stack choices, improving team ways of working and prioritizing between problems and projects We believe you have To succeed in this role we believe that you have a Master's degree in Computer Science, Mathematics, Physics or a related quantitative field and at least 5 years of experience in a similar role (or convince us that you have a similar level of expertise) Extra points if you have: A proven history of building and deploying Data Science solutions in production, preferably for different use cases. Previous experience in forecasting, predictive modeling, optimization and computer vision are meriting Expertise in time-series analysis, anomaly detection, and unsupervised methods Sense of urgency, ownership mindset, and product intuition Previous experience in a fast-moving organization and approaching complex problems with iterative pragmatic solutions Knowledge of tooling related to: Machine Learning, cloud solutions, orchestration and data processing. Professional working proficiency in English, Swedish is not required At Validio we strive to be an inclusive and diverse workplace and believe that different experiences are necessary for our growth as a company. We understand that great talent can come from anywhere and we encourage all who are excited about building the next level data trust platform to apply - regardless of your experience in listed areas! Here you’ll find a hybrid working style, which for us means that you can choose if you want to come into our beautiful office or if you’d rather work remotely from home. We are all located in Sweden and we support your relocation here to join us if not here already! You can read more about our benefits on our career page and culture here. Lastly, we offer you the chance to be part of something truly amazing and with a world-class team, there is no limit to what we can achieve together. Begin your journey with us by clicking "Apply" below. We can’t wait to meet you!