Data Scientist (Marketing)

As our marketing Data Scientist you will play a key role in optimizing our marketing strategies by providing meaningful insights through advanced modeling. Your primary focus will be to build predictive models that forecast user payment behavior by Day30, based on in-game activity data collected during the first 7 days of a user’s lifetime.

Key responsibilities.

• Build and refine predictive models to forecast users payment likelihood.

• Explore and process large volumes of in-game event data to uncover patterns relevant for forecasting.

• Collaborate with the marketing team to ensure that the models drive better user acquisition decisions.

• Effectively manage large datasets, ensuring timely and precise insights.

Job requirements

• You have at least 4 years of experience in data science and 2+ years in gaming industry.

• You have a proven track record in creating and implementing predictive models related to customer behavior.

• You possess strong Python skills and experience with key machine learning libraries (scikit-learn, pandas, numpy, XGBoost, LightGBM, TensorFlow, PyTorch).

• You have experience working with large datasets and are capable of effectively diving deep into detailed analyses.

• You excel at translating complex analytical concepts into clear insights and recommendations for stakeholders across all levels.

• You love game development.

Why Scorewarrior?

• Work with a product you love: Total Battle is more than just a job; it's a passion project.

• Join a highly skilled team: We're a nerdy group of talented individuals who love what we do.

• Make a real impact: Your work pulls the best people together to get us to that number-one app store spot.

• Stability: Start working with a stable three-year contract with the potential to extend it to infinity and beyond.

• An excellent remuneration package, including a 13th salary.

• Full-coverage relocation for you and your family to Cyprus (Limassol).

• Private health insurance for you and your family members.

• A monthly pre-school, school, and university allowance for employees' children.

• Lunch compensation.

• A sports and fitness allowance.

• Personal development opportunities paid for by the company: professional and language courses, books, etc.

• Bonuses for outstanding results, years worked, getting married, and the birth of a child.

• Monthly office parties and epic, annual offsite company birthday and Christmas parties.