Data Scientist at Jabil working with complex datasets to derive actionable insights and drive improvement initiatives. Collaborating with engineering and leadership teams for effective problem - solving.
About the role
- Data Scientist optimizing growth through data insights for the Slack Business Unit. Collaborating with teams to build forecasting models and predictive analyses in a supportive culture.
Responsibilities
- Partner with Slack Growth teams to understand the drivers of our business and accelerate growth
- Develop both short-term and long-term forecasting models for Slack’s self-serve business
- Conduct deep-dive analysis, synthesizing insights into crisp narratives for senior leadership
- Develop frameworks for identifying patterns/trends in customer behavior and implement them in predictive scoring models
- Empower others to be self-sufficient in data by building self-service tools and reports to drive awareness and understanding of key metrics
- Work with our Data Engineering and Product Analysts to build core data models that power operational metrics and exploratory data analyses
Requirements
- 6+ years of professional industry experience doing quantitative analysis
- Proficient in SQL and at least one programming language for data analysis (e.g. Python, R)
- Experience with time series forecasting, as well as statistical and machine learning methods to build descriptive and predictive models
- A related technical degree required
- Partnering with Finance or business team for revenue forecasting
- Deep understanding of premium and/or self-serve business model
- Applying analytics to uncover potential growth opportunities
- Crafting narratives for executive audience
- Advanced degree in Economics, Physics, Statistics, Math, or other quantitative field (PhDs are a plus)
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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