- Become the end to end expert on our campaign optimization platform in an ambiguous and privacy-focused ecosphere.
- Identify business opportunities and gaps in data insights for both internal and external stakeholders.
- Lead discussions with other technical and non-technical functions.
- Propose, implement, and evaluate mechanisms to connect event data across a variety of platforms.
- Partner with product partners on experimenting on new features, evaluating their impact, and guiding ship decisions.
- Utilize a variety of mathematical techniques and communicate them to others.
- Investigate critical incidents and provide insights to data ambiguity.
- Communicate findings and knowledge to others including vice president and c-suite stakeholders.
What You’ll Bring:
- 5+ years of experience related to experimentation, A/B testing, causal analysis, machine learning, look-alike modeling, ranking or equivalent. Advanced degrees in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or similar may be substituted for some years of experience.
- Experience in SQL, Python, Jupyter Notebooks, R, or similar languages and a history of technical mentoring.
- Hands-on experience working with NoSQL, Spark, Hive, BigQuery, Databricks, Snowflake, or similar technologies.
- Written and verbal communication skills to convey complex technical topics to a variety of audiences.
