Job Summary

Job Description

As a Marketing Data Scientist, you will create mathematical models to understand user value and marketing campaign profitability. Your responsibilities include optimizing data processing, improving analytical processes, and developing dashboards using tools like Shiny, R, or Tableau. You'll help set team priorities and work collaboratively. The role requires 3+ years of experience in data science, including experience with statistical methods and ML for modeling. The job offers a diverse work environment with exciting challenges, development opportunities through training, flexible working hours, and participation in a profit-sharing scheme.

Must have:

Data science methodology and storytelling capability.
Proficiency in reporting complex results.
Attention to detail to improve dashboards.
Good communication and presentation skills.
3+ years of data science experience using statistical methods.
Experience with ML for complex modeling.
Experience in data instrumentation and collection.
Experience using data analysis tools (R, Python).

Good to have:

Experience in marketing data science (or similar role)

Perks:

Employment relationship for an indefinite period.
Diverse work environment with exciting challenges.
Development opportunities through training.
Choice of sport, fitness, educational, and entertainment activities outside of work.
Healthy meals in the office.
Flexible working hours.
24 days of paid vacation.
Participation in Outfit7 profit sharing scheme.

6 skills required

6 skills required for this role

Add these skills to join the top 1% applicants for this job

python

data-science

tableau

communication

mathematical

storytelling

Job Details

In this role you will

Create mathematical models for better understanding the value of Outfit7’s users and of the profitability of Outfit7’s marketing campaigns.
Optimize data processing workflows to improve efficiency and performance.
Drive operational improvements within analytical processes and methodology, as well as campaign improvements.
Use Shiny and R or Tableau to create dashboards that clearly show key data insights and that can be used and understood outside of the analytics team.
Help set priorities within the team based on business impact.
Work efficiently as part of the team.

What we’re looking for

Talent for data science methodology and practice, as well as storytelling capability.
Proficiency in reporting and explaining complex results to people from different professional backgrounds.
Excellent attention to detail and ability to find opportunities for improvements in dashboards and to follow through on changes.
Positive, make-it-happen, lead-by-example attitude.
Good communication and presentation skills, with fluency in the English language (both written and spoken).

Your experience

3+ years of experience working in data science using statistical methods.
Experience with ML for modeling more complex concepts.
Experience in data instrumentation and data collection, as well as in the use of tools for analyzing data (e.g. R, Python).
Experience in marketing data science (or similar role) would be a plus.

What we offer

Employment relationship with Ekipa2 d.o.o. for an indefinite period of time, with a six-month probationary period.
This role is designated as Analytics Engineer externally; however, please note that your official job title given to this role may differ in accordance with our internal requirements.
Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment.
Participation in attractive projects.
Development opportunities through training, seminars, and conferences.
Choice of sport, fitness, educational, and entertainment activities outside of work.
Healthy meals in the office.
Flexible working hours.
24 days of paid vacation.
Participation in Outfit7 profit sharing scheme.