Senior Data Scientist
Senior Data Scientist
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Job Description
Job description
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 fastgrowing 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 opensource solutions for Data & AI and ML/AI. In our portfolio you can find Clients from many industries e.g. media ecommerce 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 knowledgesharing 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 andDATA Pill newsletter.
Data & AI projects that we run and the companys 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 Scientists 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
Job 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 the office located 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
Cofinancing sport card
Cofinancing health care
All equipment needed for work
- Warsaw Mazowieckie Poland
All done!
Your application has been successfully submitted!
Required Experience:
Senior IC
Employment Type
Full Time
