Senior Data Scientist (m/f/d) Operations Research (Data Scientist)
Posted Updated
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directly to the decision maker. In addition, you benefit from free
advice on all your career questions. And you get an authentic insight
into the daily work routine of your potential employer at an early
stage. Tasks You take ownership of the stochastic optimization behind
ordering and inventory policy in a growing AI scale-up for the retail
sector and model newsvendor tradeoffs for production use You bring
constraint and mathematical programming into live operation and help
build the inventory simulator and the ordering framework You
continuously advance the automated ordering system and safeguard
end-to-end pipeline quality, from data quality through to the live
order recommendation You own the monitoring of your models in
production and ensure robust, transparent results You write
production-ready code in Python and SQL on a modern cloud and data
stack (GCP with BigQuery, Cloud Run, Vertex AI; dbt, Airflow/Cloud
Composer, Git, CI/CD) You use agentic AI coding tools such as Claude
Code and Cursor in your daily work You collaborate closely with
Engineering, Product, Sales and Customer Operations every day and take
on technical ownership early as part of a central data science team
Profile You have a genuine operations research background You are
strong in stochastic optimization, in ordering and replenishment
policy, newsvendor tradeoffs as well as constraint or mathematical
programming You have demonstrably brought these methods into
production and not only applied them in research You hold a completed
master's degree in a quantitative field (a PhD is welcome) You command
Python and SQL at production level You are confident working with a
modern cloud and data stack, ideally GCP (BigQuery, Cloud Run, Vertex
AI), dbt and Airflow/Cloud Composer You ideally bring experience from
supply chain, demand planning or the field of perishable goods You
ideally bring experience from a startup or scale-up environment You
value an environment with high intensity and personal ownership and
thrive in dynamic growth phases rather than in rigid nine-to-five
structures You have fluent English as your working language; German is
not required Benefits You receive an attractive compensation package
including equity participation (VSOP) Home-Office possibilities 30
vacation days You receive individual relocation support if you are
moving to Berlin Contakt Further details apart from the job
description as well as information about the company are available
during the application process.
IT. Your advantage: Through us, your application documents are sent
directly to the decision maker. In addition, you benefit from free
advice on all your career questions. And you get an authentic insight
into the daily work routine of your potential employer at an early
stage. Tasks You take ownership of the stochastic optimization behind
ordering and inventory policy in a growing AI scale-up for the retail
sector and model newsvendor tradeoffs for production use You bring
constraint and mathematical programming into live operation and help
build the inventory simulator and the ordering framework You
continuously advance the automated ordering system and safeguard
end-to-end pipeline quality, from data quality through to the live
order recommendation You own the monitoring of your models in
production and ensure robust, transparent results You write
production-ready code in Python and SQL on a modern cloud and data
stack (GCP with BigQuery, Cloud Run, Vertex AI; dbt, Airflow/Cloud
Composer, Git, CI/CD) You use agentic AI coding tools such as Claude
Code and Cursor in your daily work You collaborate closely with
Engineering, Product, Sales and Customer Operations every day and take
on technical ownership early as part of a central data science team
Profile You have a genuine operations research background You are
strong in stochastic optimization, in ordering and replenishment
policy, newsvendor tradeoffs as well as constraint or mathematical
programming You have demonstrably brought these methods into
production and not only applied them in research You hold a completed
master's degree in a quantitative field (a PhD is welcome) You command
Python and SQL at production level You are confident working with a
modern cloud and data stack, ideally GCP (BigQuery, Cloud Run, Vertex
AI), dbt and Airflow/Cloud Composer You ideally bring experience from
supply chain, demand planning or the field of perishable goods You
ideally bring experience from a startup or scale-up environment You
value an environment with high intensity and personal ownership and
thrive in dynamic growth phases rather than in rigid nine-to-five
structures You have fluent English as your working language; German is
not required Benefits You receive an attractive compensation package
including equity participation (VSOP) Home-Office possibilities 30
vacation days You receive individual relocation support if you are
moving to Berlin Contakt Further details apart from the job
description as well as information about the company are available
during the application process.