(Senior) Data Scientist Operations (mfn)

Warszawa - Poland

Monthly Salary: Not Disclosed

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.
Develop and implement advanced data science solutions (including ML models AI products optimization frameworks etc.).
Collaborate closely with cross-functional 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.

Qualifications :

General requirements:

Education Bachelors Masters or PhD degree in a relevant field e.g. data science computer science mathematics statistics econometrics physics or similar.
Experience at least 3 years of experience working using data science methods. Strong technical and/or research background is a plus.
Mindset you are data-driven goal-oriented and proactive skilled in change and time. management business-conscious able to think long-term and decompose business problems
Languages you are proficient in English and Polish (other languages knowledge is a plus).

Technical requirements:

Excellent knowledge of ML solutions and their impact on business user experience and operational processes (supervised and unsupervised learning e.g.: clustering recommender systems regression classification linear programming reinforcement learning time series geospatial analysis 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:

Proficiency in testing your code.
Knowledge of best practices regarding writing readable code technical reviews and maintainability.
Knowledge of ML Ops and experience with data pipelines framework preferably Kedro.
Experience of creating ML models used in production knowledge of SRE principles.
Experience with CLI tools: bash/zsh.
Experience in leveraging CI/CD pipelines in data-based products.
Experience applying data science methods at scale or building models used in production by large number of users.
Previous work on open-source projects.
Experience in working in a data-driven environment designing executing and analysing many experiments.

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

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.Develop and implement advanced data science solutions (including ML models AI products optimization frameworks etc.).Collaborate ...

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.
Develop and implement advanced data science solutions (including ML models AI products optimization frameworks etc.).
Collaborate closely with cross-functional 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.

Qualifications :

General requirements:

Education Bachelors Masters or PhD degree in a relevant field e.g. data science computer science mathematics statistics econometrics physics or similar.
Experience at least 3 years of experience working using data science methods. Strong technical and/or research background is a plus.
Mindset you are data-driven goal-oriented and proactive skilled in change and time. management business-conscious able to think long-term and decompose business problems
Languages you are proficient in English and Polish (other languages knowledge is a plus).

Technical requirements:

Excellent knowledge of ML solutions and their impact on business user experience and operational processes (supervised and unsupervised learning e.g.: clustering recommender systems regression classification linear programming reinforcement learning time series geospatial analysis 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:

Proficiency in testing your code.
Knowledge of best practices regarding writing readable code technical reviews and maintainability.
Knowledge of ML Ops and experience with data pipelines framework preferably Kedro.
Experience of creating ML models used in production knowledge of SRE principles.
Experience with CLI tools: bash/zsh.
Experience in leveraging CI/CD pipelines in data-based products.
Experience applying data science methods at scale or building models used in production by large number of users.
Previous work on open-source projects.
Experience in working in a data-driven environment designing executing and analysing many experiments.

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

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About Company

InPost

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

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