Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Data Scientist analyzing Slack product usage and driving product decisions at Salesforce. Collaborating with cross-functional teams to enhance data-driven strategies and insights.
Responsibilities
- Apply advanced data science techniques to analyze Slack product usage patterns
- Conduct evidence-based evaluations to determine key drivers of Slack’s product growth
- Define and report key success metrics
- Synthesize insights across different product areas
- Serve as a domain expert in product data science
- Champion evidence-based decision-making
Requirements
- 5+ years of experience in data science or quantitative analysis
- A related technical degree required
- Expertise in at least one programming language for data science (e.g., Python, R)
- Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop)
- Expertise in Apache Airflow is a strong plus
- Strong communication skills
- Experience designing and implementing advanced data models with scalability and efficiency
- Experienced in applying advanced quant measurement techniques in a product development environment
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
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