Data Scientist
Found in: beBee S GB - 2 weeks ago
Data Scientist Responsibilities:
- Applies multiple statistical approaches as needed
- Writes elegant, reproducible code as needed to execute analyses
- Draws insights from quantitative data and begins to identify deeper-level implications
- Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offerings
- Proactively identify opportunities to improve the experience of creators on the Meta family of apps
- Lead the measurement, analysis, and interpretation of results from data requirement gathering, to modeling, and recommendations
- Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
- Design and execute experiments (e.g., A/B testing, multi-armed bandit)
- Communicate insights and recommendations to marketing leads and influence strategic decision-making
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 4+ years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization
- 4+ Experience with data querying and manipulation using SQL, Python, or R Experience with experimental design
- Experience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, Statsmodels, Scikit-learn, Tidyverse (dplyr, ggplot2, etc.)
- Experience with stakeholder communication and presentation skills
Preferred Qualifications:
- An MBA or Master's or Doctorate degree in a quantitative discipline like Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research
- Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance
- Proven track record of leveraging data to deliver business value and present data-driven insights to senior leaders
- Experience developing data pipelines via SQL and Python-based ETL framework
- Experience with online marketing and advertising data analysis
- Experience building cross functional relationships across a variety of functions to launch projects to drive business value
- Experience communicating with and influencing technical and non-technical audiences (engineers, data scientists, program managers, marketers)
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