বেসিক

Data Scientist

Stockholm, Stockholm County, Sweden কোম্পানি: TN Sweden গ্রাহক / নিয়োগকর্তা: dentsu
পোস্ট করা হয়েছে: 22.05.2026
সমাপ্তির তারিখ: 06.07.2026
কাজের রেফারেন্স: b8956a368b57834e77208ad4d9e4a142

চাকরির তথ্য

অবস্থান
Stockholm, Stockholm County, Sweden
কোম্পানি
TN Sweden
গ্রাহক / নিয়োগকর্তা
dentsu
কাজের রেফারেন্স
b8956a368b57834e77208ad4d9e4a142
তালিকার ধরন
বেসিক
ইইউ ওয়ার্ক পারমিট প্রয়োজন
না
পোস্ট করা হয়েছে
22.05.2026
সমাপ্তির তারিখ
06.07.2026

কাজের বিবরণ

Job Description:We’re looking for a talented Data Scientist to join our dynamic team and help drive value for our clients. You’ll work with data from various digital channels (online, email, commerce), analyzing and modelling this data to optimize customer experiences and enhance digital performance. You’re passionate about turning data into actionable insights that make personalization work! You work with large data sets and econometric modelling to create actionable insights that help brands drive growth and effectiveness. Your expertise in data science and statistics allows you to uncover trends and create strategies that directly impact client success. In this role, you’ll design and build predictive models, develop algorithms, and implement end-to-end solutions for our clients. You’re always on top of the latest technologies, like AI, and you love experimenting with new ways to elevate your work. As part of a small, supportive team, you’ll collaborate on various tasks and occasionally assist with dashboard building. While you bring valuable experience, we support your continuous growth and development in the ever-evolving fields of data science and digital marketing. Key Responsibilities: Analyse datasets to generate actionable insights and optimize digital channels Conduct marketing mix modelling projects together with a team of data scientists Develop predictive models and machine learning algorithms Present insights and recommendations to clients and stakeholders Stay updated on the latest data science and digital marketing trends Qualifications: 1-3 years Experience as a Data Scientist Understanding of digital marketing data (online, email, commerce) Proficient in Python, R, SQL, and machine learning frameworks Strong analytical, problem-solving, and communication skills Fluent in Swedish and English and living in Sweden What would make you really stand-out: Documented experience in conducting MMMs (marketing mix modelling) projects Hands-on experience with AI and machine learning Experience with digital marketing platforms such as Google Ads, DV360, Adform, Google Analytics, Adobe Analytics, etc. What We Offer: An international work environment with colleagues from across the globe A challenging role in a fast-growing market Plenty of fun at work: table football, table tennis, team events, parties, and more 40 annual well-being hours, on top of 30 annual vacation days Extensive learning and development opportunities, both in-person and online A hybrid work model: 3 days in the office, the rest from home Competitive salary and great benefits Possibility to work from other EU/EES country up to 30 days per year Opportunity to spend time on yourself during working hours; 40h wellbeing time and 40h personal development Possibility to work 1 h less per day during summer (8-week period) Collective agreements 30 days holiday entitlement About DD & Dentsu Dentsu Data is Dentsu's center of excellence in data science, research, and business intelligence. Our vision is to become Sweden's leading consultants in data by leveraging data to inspire people-centered transformations that shape society. Our Business Science team offers services in data strategy and consulting, data engineering, business intelligence and advanced modelling (econometrics). DD operates in Stockholm and Gothenburg. DD is part of Dentsu Sweden AB, which is part of a global communication network with 71,000 employees in more than 145 countries. We offer our employees the opportunity to work with several market-leading brands and exciting customers. Of course, we offer great colleagues, attractive career opportunities, modern benefits, unique and industry-leading talent programs. Here, each individual's strengths are encouraged, and you get the opportunity to be yourself, develop and reach your full potential. In all brands in the Dentsu Group, we are constantly working to develop our employees and leaders, and thus there are good development opportunities both at regional, Nordic and international level. We are happy to tell you more about the above in connection with any interview. All our Swedish companies are environmentally certified according to the Swedish Environmental Base and we work actively with our social and environmental responsibility as an employer and fellow human beings. Diversity and Inclusion At dentsu we believe in the power of diversity. We welcome all applications regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation.

দক্ষতা

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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