Senior Data Scientist
Offer summary
Qualifications:
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field., Strong experience in machine learning and advanced analytics techniques., Proficiency in programming languages such as Python or R, and familiarity with data visualization tools., Ability to collaborate effectively with cross-functional teams, particularly in marketing and data engineering..Key responsabilities:
- Design and implement a new attribution model using techniques like Markov Chains or Machine Learning.
- Collaborate with marketing teams to address spend allocation challenges and provide data-driven recommendations.
- Develop dashboards and reports to visualize the impact of marketing channels and optimize budgets.
- Ensure data accuracy and reliability while integrating new models into existing systems.
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 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
Required profile
Experience
Other Skills
- Collaboration
- Communication
- Problem Solving
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