Smart Pricer

Fullstack Data Scientist

Reads like a ML Engineer role: putting models into production.

Berlin, Berlin, Germany

Pay: Pay not listed
Work setting: On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

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What you’ll work on

Full posting

Develop predictive models to forecast demand for sports, concerts and theater
Use live demand data to simulate the impact of price changes on performance
Own every development step from the initial idea to production

From the employer’s posting

Develop predictive models to forecast the demand for soccer matches, theater shows and concerts

Use live demand data to simulate the impact of price changes on the performance

Be responsible for every development step: Starting with the idea all the way to production

What you’ll bring

All qualifications

Core experience

Excellent skills in at least one general-purpose programming language (Ruby, Python, Go, Java)
Experience in data analysis, predictive model development and operating analytic services in a distributed system
Hands-on knowledge of big data tools (Kafka, Cassandra, Spark, Hadoop)
A degree in computer science or similar, or equivalent practical experience

Qualification wording

Excellent skills in at least one general purpose programming language (Ruby, Python, Go, Java, ...)

Experience in data analysis, predictive model development and operating analytic services in a distributed system.

Hands-on knowledge on using common big data related technology (Kafka, Cassandra, Spark, Hadoop, …)

A degree in the field of computer science, similar disciplines or equivalent practical experience

Tools in this posting

Java
Python
Ruby
Hadoop
Kafka
Spark
Go

Source

· A degree in the field of computer science, similar disciplines or equivalent practical experience · Excellent skills in at least one general purpose programming language (Ruby, Python, Go, Java, ...) · Experience in data analysis, predictive model development and operating analytic services in a distributed system.

· Experience in data analysis, predictive model development and operating analytic services in a distributed system. · Hands-on knowledge on using common big data related technology (Kafka, Cassandra, Spark, Hadoop, …) WHO YOU ARE?

Posting record

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Open 3 monthsWe first saw this posting 118 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 3, 2026 · 118 days ago
Recorded sightings: 33
Last seen by us: Oct 29, 2026
Employer says posted: Dec 6, 2016

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Job description

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Job Description

WHAT WILL YOU DO?

· Develop predictive models to forecast the demand for soccer matches, theater shows and concerts

· Use live demand data to simulate the impact of price changes on the performance

· Be responsible for every development step: Starting with the idea all the way to production

· Assist the development of the Smart Pricer service to become the leading pricing tool for sports, concerts and theaters in Europe

Qualifications

WHAT BACKGROUND DO YOU NEED?

· A degree in the field of computer science, similar disciplines or equivalent practical experience

· Excellent skills in at least one general purpose programming language (Ruby, Python, Go, Java, ...)

· Experience in data analysis, predictive model development and operating analytic services in a distributed system.

· Hands-on knowledge on using common big data related technology (Kafka, Cassandra, Spark, Hadoop, …)

WHO YOU ARE?

· A tinkerer, who seeks to explore new things and solve problems

· Experienced and always comfortable facing new challenges

· Interested in applying machine learning to pragmatically solve business problems

Additional Information

WHAT CAN WE OFFER?

· The opportunity to work with cutting-edge technology and directly impact innovative products

· An open-minded team always looking for new ideas and solutions

· A fast-paced work environment with flexible working hours

Company Description

Airlines earn millions in additional revenue each year using dynamic pricing. Sports clubs and cinema operators are only beginning to consider actual bookings, weather, google searches and website clicks in their demand prediction and pricing.

WHO YOU WILL WORK WITH?

Building upon our experience from working at airlines (Lufthansa and Air Berlin) and consulting (McKinsey) companies, Smart Pricer team is the leading Berlin start-up in the field of dynamic price optimization for sports, cinema and entertainment. By being a part of our team you will work closely with our data science team on developing new pricing concepts and running simulations for customers such as Hertha BSC, UCI Kinowelt or Odeon UK.

Source details

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Pay

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Location & working pattern

Berlin, Berlin, Germany

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Open source at jobs.smartrecruiters.com ↗Read the full description ↓

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