What You'll Work With:
- Large tabular datasets: Multi-million row datasets with hundreds of features from application performance monitoring.
- Complex data challenges : High-cardinality categorical variables, time series components, and some data quality issues requiring sophisticated feature engineering.
- Predictive + causal modeling: Building models that not only predict outcomes but can explain causal relationships between system performance and business metrics.
- Production constraints: Models deployed at scale, serving predictions for enterprise customers.
- Design and architect scalable machine learning solutions for tabular data with built-in causal interpretability.
- Establish technical standards for feature engineering, model validation, and causal inference methodologies.
- Lead code reviews and drive technical discussions on complex modeling challenges.
- Make architectural decisions for production ML systems that balance predictive accuracy with causal understanding.
- Provide technical guidance on balancing predictive performance with interpretability.
- Mentor new data scientists joining the team as we scale.
- Build and deploy predictive models using gradient boosting frameworks (XGBoost, LightGBM, CatBoost) while incorporating causal inference principles
- Develop sophisticated feature engineering pipelines for time series, behavioral, and performance data
- Design and implement experiments and quasi-experimental approaches to validate causal relationships
- Collaborate with ML Engineers to deploy and monitor models in production environments
- Drive data preprocessing initiatives, transforming complex, messy data into model-ready datasets
- Advanced degree in Statistics, Economics, Computer Science, Mathematics, or a quantitative field with a strong statistical foundation
- 7+ years of data science experience with demonstrated technical leadership or senior IC experience
- Expert-level Python skills for data processing and ML model development (Pandas, NumPy, Scikit-learn, and experience with large datasets)
- Advanced SQL proficiency including complex queries, window functions, and query optimization
- Proven expertise with gradient boosting frameworks (XGBoost, LightGBM, CatBoost) and deep understanding of hyperparameter tuning and model interpretability
- Strong experience with causal inference methodologies (A/B testing, quasi-experimental designs, instrumental variables) and ability to integrate causal thinking into predictive modeling
- Advanced feature engineering skills, including handling high-cardinality categorical variables, missing values, and time series features
- Experience with model deployment and monitoring in production environments
- Proven ability to communicate complex technical concepts to diverse audiences
- Experience with big data technologies (Spark, Hadoop, Presto, Snowflake).
- Advanced knowledge of ensemble methods, stacking, and model blending techniques.
- Familiarity with MLOps and model monitoring in production.
- Time series forecasting and anomaly detection experience.
- Experience mentoring junior data scientists.
- Background in application performance monitoring or DevOps.
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Experience with LLMs or NLP techniques.
- A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly
- Working with the latest technologies and at the forefront of innovation in tech on scale, but also in other areas like marketing, design, or research
- Working models that offer you the flexibility you need , ranging from full remote options to hybrid ones combining home and in-office work
- A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries
- An environment that fosters innovation enables creative collaboration and allows you to grow
- A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals
- A truly international mindset with Dynatracers from different countries and cultures all over the world, and English as the corporate language that connects us all
- A culture that is being shaped by our global team's diverse personalities, expertise, and backgrounds
- A relocation team that is eager to help you start your journey to a new country , always there to support and by your side. If you need to relocate for a position you're applying for, we offer you a relocation allowance and support with your visa, work permit, accommodation, language courses, and a dedicated buddy program
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