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3 days ago
We are seeking a skilled Data Scientist to join our team. The successful candidate will be responsible for analyzing and interpreting marketing and sales data to support incrementality testing.
Daily tasks include running models, analyzing test result data using statistical models and methods, creating data visualizations, and collaborating with other departments to support data-driven recommendations for clients.
The ideal candidate will have experience in data science or advanced analytics, as well as proficiency in programming languages like Python, R, and SQL.
We are looking for a strong communicator who can effectively convey complex technical concepts to non-technical stakeholders.
Key Responsibilities:- Work with team members to deliver Geo test outputs for clients
- Develop and implement statistical models to solve everyday market analytics challenges
- Perform exploratory data analysis using spreadsheets or Excel to understand data
- Interpret results from Geo tests and translate them into actionable recommendations
- Use results of a test or analysis to arrive at attributed conversions & multipliers
- Work with larger datasets, perform data manipulation & pre-processing
- Collaborate with strategist teams to translate business questions and objectives into analytical frameworks
- Work with stakeholders to gather the data required for building models
- Conduct ad-hoc analyses to support client requirements
- Bachelors in Statistics, Mathematics, Computer Science, Operations Research, Engineering, Economics
- 2+ years of experience in data science or advanced analytics
- Advanced knowledge of statistical concepts like hypothesis testing, regression & time series analysis
- Proficiency in programming and query languages like Python, R, and SQL
- Understanding of marketing channels, metrics, and KPIs
- Proficiency in data manipulation and preprocessing
- Strong MS Excel, Google sheets skills
- Strong problem-solving and analytical thinking abilities
- Ability to communicate complex technical concepts to non-technical stakeholders
- Ability to tell compelling stories with data
- Experience using PowerPoint or Google slides to present findings
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