Data Scientist
Job Summary
Job Description
This Data Scientist role at Outfit7 involves creating mathematical models to understand user value and marketing campaign profitability. Responsibilities include optimizing data workflows, driving operational improvements, and building dashboards using Shiny/R or Tableau to visualize key insights for non-analytical audiences. The role requires setting team priorities based on business impact and collaborating effectively within the team. The ideal candidate will have 3+ years of experience in data science, proficiency in statistical methods, and experience with machine learning for complex modeling. Experience with marketing data science is a plus. Strong communication and presentation skills are essential.
Must have:
- 3+ years data science experience
- Statistical modeling expertise
- ML experience for complex concepts
- Data visualization (Shiny/R, Tableau)
- Strong communication skills
Good to have:
- Marketing data science experience
- Data instrumentation and collection experience
Perks:
- Profit sharing
- Flexible working hours
- 24 days paid vacation
- Healthy meals
- Development opportunities
- Sport/fitness activities
6 skills required
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.
Compensation
Compensation will be constructed of a salary and an option to receive performance bonuses
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About The Company
At our core, we create experiences that look, play, and feel good. With over 21 billion game downloads and 100 billion global video views, we love to tap into the lives of billions around the world and offer them pure forms of entertainment.
Filled with creativity, our team of over 400 experts consistently expands our universe of products, topping leaderboards with the exciting adventures of Talking Tom & Friends and pushing boundaries with the heart-rushing action of Mythic Legends.
Together we march forward, challenging ourselves as we go and leading with our very best plays.
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