(Senior) Data Scientist
Share
Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
On a daily basis you will:
- Partner with our product and business teams to understand their needs and translate them into data science solutions and actionable insights.
- Lead the full lifecycle of data science initiatives and advise on solution design.
- Develop and implement advanced data science solutions (including ML models AI products and optimisation frameworks).
- Collaborate closely with cross-functional teams to ensure the seamless integration of data-driven initiatives.
- Stay ahead of the curve by exploring cutting-edge methods and keeping up to date with new trends in data science and AI.
- Communicate insights and recommendations to management business teams and other members of the data community.
Qualifications :
Must have:
- Minimum of 3 years experience as a Data Scientist applying data science methods at scale.
- Excellent knowledge of ML solutions and their impact on business user experience and operational processes (supervised and unsupervised learning e.g.: clustering regression classification time series geospatial analysis etc.)
- Proficiency in Python and ML/data analysis libraries (Pandas Polars PySpark Scikit-learn) gradient boosting and deep learning frameworks.
- Experience in building models used in production by a large number of users and hands-on experience with large data sets.
- Experience and knowledge of relational databases and cloud solutions (e.g. Databricks Azure GCP AWS Snowflake).
- Experience in writing well-structured code including functions classes and modules.
- Proficiency in code testing and best practices for writing readable code conducting technical reviews and ensuring maintainability.
- Knowledge of ML Ops and experience with data pipeline frameworks such as Kedro.
- Very good command of English both spoken and written (B2 level).
Nice to have:
- Specialised knowledge in one or more of the following areas: logistics geospatial data science and graph methods.
- Higher education in computer science statistics mathematics physics econometrics or a related field.
- Strong technical and/or research background.
Additional Information :
Why Join InPost
- Opportunity to work in a diverse international and cross-functional environment along with leading experts.
- You work and learn from a senior leader and their leadership team expanding your experience and exposure in the e-commerce and logistics industries.
- InPost is a growing company that offers its employees an increasing number of opportunities in several locations in Europe.
- Fulfilling careers with a range of benefits for employees and investing in providing training opportunities for their development.
- You will feel a part of the InPost community that makes an impact on sustainability convenient deliveries and the circular economy every day.
- Excellent working environment and flexible hours
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
