At Nepa, Marketing Mix Modeling (MMM) isn’t just a key focus area; it’s a passion that drives us to deliver exceptional value to our clients. Our advanced analytics empower businesses to optimize their marketing spend, enabling them to make informed, data-driven decisions that truly maximize ROI across all channels.
We’re excited about the future and are actively investing in enhancing our MMM capabilities. By continuously refining our methods and tools, we deliver actionable insights that help our clients succeed.
We’re on the lookout for a Data Scientist who is eager to make a difference by driving Marketing Mix Modeling (MMM) solutions for our clients. If you’re passionate about leveraging data science to tackle complex marketing challenges and delivering valuable insights to over 500 blue-chip companies, this could be the perfect opportunity for you!

Your role as our Data Scientist 

As a Data Scientist in our Marketing Mix Modelling team at Nepa, you will work with research and development as well as the implementation of advanced models, with a focus on implementation and delivery of our Marketing Mix Modelling solutions. You will join a brilliant team of Data Scientists, working across Nepa’s core products. You will also be in close contact with other key stakeholders across the company, working together to take our products to the next level.

Your responsibilites:

- Client delivery: You will take lead on our Marketing Mix Modelling deliveries to our clients. This involves everything from data structuring and modelling to presenting technical solutions and results to our clients.

- Advanced analysis: You leverage in-depth technical expertise to help solve our clients’ most demanding problems. Furthermore, are mindful of how technical design choices impact client value.

- Method expert and mentor: You will support our client teams and junior colleagues as an internal and external method expert in our Marketing Mix Modelling solution.

- Participate in product development: You will be part of a cross-functional product team with other data scientists, data engineers and developers. You will help integrate new learnings and insights in the product development as well as improving workflows and processes. We value collaboration and believe that the best products are built when combining different domain expertise’s.

- Staying on top of industry trends: Both tech and marketing are rapidly evolving industries. Nepa takes pride in our position as thought leaders, and places a big focus on staying up-to-date in order to remain one step ahead

Your profile

- Bachelor's/Master’s degree in Engineering, Statistics, Mathematics, Economics, Business administration or similar

- Practical experience from working as a data scientist, analytics consultant, or similar role in the industry

- Hands-on experience from working with Marketing Mix Modelling

- You have a business mind-set and are able to turn data and results into actionable insights for our clients

- Excellent story telling and communication skills, ability to explain technical issues and solutions to non-technical people

- Competent in Python

- You are fluent in English, both in writing and speech.

- You have a work permit.

Although not required, previous experience of Bayesian statistics is highly valued.

A few more things

- You share our vision to become the world leading data-to-growth company. 

- You live our values daily | We see what others don’t | We love it and it shows | We cut the crap | We care and act accordingly |.

- You take pride in delivering high level of services, we are known for that.

Who are we? 

Nepa is a leading provider of marketing optimization solutions. By combining data analytics, technology, and industry expertise, we empower our clients to make informed decisions and drive success. Our innovative solutions enable businesses to understand and connect with their customers, creating lasting relationships and delivering measurable results.

Next step!

We review applications as we receive them, and interviews will be held continuously so please submit your application as soon as possible.