About us
GetInData | Part of Xebia is a leading data company working for international Clients, delivering innovative projects related to Data, AI, Cloud, Analytics, ML/LLM, and GenAI. The company was founded in 2014 by data engineers and today brings together 120 Data & AI experts. Our Clients are both fast-growing scaleups and large corporations that are industry leaders. In 2022, we joined forces with Xebia Group to broaden our horizons and bring new international opportunities.
What about the projects we work with?
We run a variety of projects in which our sweepmasters can excel. Advanced Analytics, Data Platforms, Streaming Analytics Platforms, Machine Learning Models, Generative AI and more. We like working with top technologies and open-source solutions for Data & AI and ML/AI. In our portfolio, you can find Clients from many industries, e.g., media, e-commerce, retail, fintech, banking, and telcos, such as Truecaller, Spotify, ING, Acast, Volt, Play, and Allegro. You can read some customer stories here.
What else do we do besides working on projects?
We conduct many initiatives like Guilds and Labs and other knowledge-sharing initiatives. We build a community around Data & AI, thanks to our conference Big Data Technology Warsaw Summit, meetup Warsaw Data Tech Talks, Radio Data podcast, and DATA Pill newsletter.
Data & AI projects that we run and the company's philosophy of sharing knowledge and ideas in this field make GetInData | Part of Xebia not only a great place to work but also a place that provides you with a real opportunity to boost your career.
If you want to be up to date with the latest news from us, please follow up on our LinkedIn profile.
About role
The Data Scientist's goal is to provide business value by delivering machine learning models and other advanced analytics solutions.
Data Scientist takes an active role in every step of the process, from defining the business problems to researching and advising on the best way to solve them, building the data solution, implementing it (with the support of the ML Ops Engineer), and monitoring business outcomes.
Responsibilities
- Designing and implementing a new attribution model (potentially using Markov Chains or Machine Learning)
- Work closely with marketing teams to understand spend allocation challenges
- Develop dashboards and reports to visualize the impact of marketing channels
- Provide recommendations for budget optimization based on data insights
- Ensure the accuracy and reliability of collected data
- Collaborating with data engineers to integrate the new model into existing systems.
- Sharing knowledge on data literacy
- Keeping current with the latest trends and best practices in analytics engineering
Requirements
- Proficiency in Python and SQL
- Understanding of business intelligence tools (Looker, Tableau, Power BI)
- Strong background in mathematics/statistics
- Experience with attribution modeling
- Ability to work with large datasets and extract meaningful insights
- Experience with Markov Chains or advanced probabilistic modeling is a plus
- Familiarity with Google Ads, Facebook Ads, as well as previous experience in marketing analytics, is nice to have
Salary: 150 - 180 PLN net + VAT/h B2B (depending on knowledge and experience)
100% remote work
Flexible working hours
Possibility to work from theofficelocated in the heart of Warsaw
Opportunity to learn and develop with the best Big Data experts
International projects
Possibility of conducting workshops and training
Certifications
Co-financing sport card
Co-financing health care
All equipment needed for work
Poland
