Data Science Leadership Role
7 days ago
**About the Role**
We are seeking a highly skilled Data Science Leadership Role to join our Country & Marketing Analytics team. As Lead Data Scientist, you will be responsible for defining and implementing regional strategies aimed at expanding our user base and enhancing user engagement.
You will collaborate closely with the Marketing and Growth teams to analyze and interpret user behavior, generating actionable insights that support the development of strategic initiatives.
The successful candidate will have a strong background in data science, with expertise in machine learning techniques and algorithms. They will be able to influence across teams and senior stakeholders, and have experience with data storytelling and creating impactful dashboards using PowerBI or Tableau.
Key Responsibilities:
- Innovate: Propose innovative business ideas by diving deep into data, addressing the most pressing customer challenges.
- Illuminate: Use your mastery of data to provide data-driven recommendations to support strategic decision-making.
- Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our marketing & growth strategy.
- Drive Impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.
**Requirements**
- At least 6 years of analytical experience conjugated with business acumen.
- Experience with machine learning techniques and algorithms, with experience applying them to real-world problems.
- Expertise in data storytelling, and adept at creating intuitive and impactful dashboards using PowerBI or Tableau.
- Fluency in SQL, Python, R, or other scripting/programming languages, and comfortable with large datasets and ETL processes.
**What We Offer**
- A collaborative and dynamic work environment.
- Opportunities for professional growth and development.
- A comprehensive benefits package, including term life insurance, medical insurance, and flexible work arrangements.
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