(Senior) Data Scientist Personalisation (mfn)
Share
Job Location:
Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
On a daily basis you will:
- Partner with our Product and Business Teams to understand their needs translate them into data science solutions and provide actionable insights. We work with all business products within InPost e.g. InPost Mobile Loyalty Programme InPost Pay among others.
- Develop and implement data science solutions (ML models GenAI products hybrid approaches data analytics) to optimize marketing and products strategies enhance user experience and shape targeting.
- Collaborate closely with cross-functional teams (e.g. other Data&AI teams Technology teams) to ensure seamless integration of data-driven initiatives.
- Stay ahead of the curve exploring cutting-edge methods and being on top of new trends in Data Science & AI.
- Communicate insights and recommendations to the management and business teams and other data community members.
In summary you will have an opportunity to conduct end-to-end data products: exploring business needs (skills: understanding business communication) analyze problems and propose thesis (data analytics) develop a solution (skills: hands-on ML/AI) present insights and results (skills: communication translating technical stuff to non-technical people ppt/BI) maintain the solution (skills: basic BI skills model monitoring).
Qualifications :
Job requirements:
- Education Bachelors or Masters degree in a relevant field e.g. Data Science Computer Science Mathematics Econometrics
- Experience you have at least 3 years of commercial experience as a Data Scientist. Consulting and marketing analytics experience are a plus
- Mindset you are goal-oriented and independent skilled in change and time management business-conscious able to think long-term and decompose business problems
- Languages you are proficient in Polish and English (other languages knowledge is a plus).
Technical skills:
- Excellent knowledge of ML solutions and their impact on business and user experience (clustering recommender systems regression classification etc.).
- Hands-on experience with working with large amounts of data.
- Proficiency in Python 3 as well as ML and data analysis libraries (e.g. Pandas Numpy Scipy Scikit-learn Statsmodels TF/Pytorch etc.).
- Experience in writing well-structured code: functions classes modules.
- Knowledge and experience in PySpark relational databases cloud solutions (e.g. Databricks Azure GCP AWS Snowflake).
Nice to have:
- Experience in leveraging CI/CD pipelines in data-based products.
- Experience with data pipelines framework preferably Kedro.
- Experience with CLI tools: bash/zsh.
Additional Information :
Why join Us
- Impact: Your work will directly influence strategic decisions and operational efficiencies across multiple international markets.
- Innovation: Be part of the team thats pushing boundaries of data analytics working with the latest technologies and methodologies.
- Growth: This role offers unparalleled opportunities for professional development in a data-driven technology-forward environment.
- Collaboration: Engage with cross-functional teams share knowledge and best practices fostering a culture of continuous learning and improvement.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
InPost S.A. a company listed on Euronext Amsterdam - is the leading out-of-home e-commerce enablement platform in Europe. InPost Group operates across key geographies: Poland, the UK, Italy and the Iberian Peninsula, as well as France and Benelux, through its subsidiary, Mondial Rel ... View more
