MGID is looking for a Data Scientist to join our team and shape the future of AdTech. You will analyze complex datasets, uncover hidden patterns, and develop cutting-edge algorithms to drive CPA campaign success by achieving target metrics, increasing conversion volume, and maximizing budget efficiency.
What You'll Do
- Explore data to identify trends, evaluate campaign performance, and support data-driven decision-making.
- Design, implement, and optimize advanced algorithms for CPA campaign optimization.
- Build and refine predictive models to improve decisions for CPA campaigns, ensuring alignment with business objectives.
- Work closely with product and business teams to translate technical solutions into measurable business impact.
- Conduct and rigorously evaluate A/B tests to assess the impact of algorithm changes.
- Create dashboards and visualizations to track key performance indicators (KPIs) and communicate findings to stakeholders.
What We're Looking For
- A proactive problem-solving attitude: ability to independently analyze data, identify hidden issues, formulate hypotheses, suggest effective solutions, and develop and test them.
- Ability to analyze and deeply explore data to extract valuable insights, and to visualize and communicate those insights clearly.
- Proven experience in data science, with a strong understanding of optimization problems.
- Proficiency in Python and SQL, including data manipulation and feature engineering.
- Expertise in machine learning techniques and tools such as CatBoost, XGBoost, TensorFlow, PyTorch, and scikit-learn.
- Upper-Intermediate English proficiency.
Nice to Have
- An MSc or PhD in Engineering, Statistics, Mathematics, or a related field.
- Familiarity with the AdTech domain.
- Experience with big data technologies like Spark and Hadoop and processing large datasets.
- Hands-on experience with A/B testing and business metric optimization.
- Background in working with high-frequency or large-scale event data (e.g., 15B+ events daily).
Technical Stack
- Python, SQL
- CatBoost, XGBoost, scikit-learn
- TensorFlow, PyTorch
- Spark, Hadoop
Work Mode
This is a fully remote position.
At MGID, we foster an innovative, results-driven, and supportive culture that is connected and flexible, allowing you to excel both personally and professionally.
