Data Scientist
3 weeks ago
M-Squared is a marketing attribution community and marketplace that provides businesses with the tools and resources they need to tackle attribution challenges. Our services help businesses gain insights into marketing channel performance, identify revenue-driving channels, and optimize marketing spend. M-Squared offers consultations, educational resources like Masterclasses and Short Course videos, as well as custom project work tailored to each business's needs. We cater to businesses of all sizes and industries, ensuring that each solution is unique and effective.
Role Description
This is a full-time, remote position for a Data Scientist. They will be responsible for the analysis, and interpretation of marketing and sales data to support incrementality testing. Daily tasks include running models to perform market selection & design incrementality tests, 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 Data Scientist will also be responsible for communicating findings and insights to stakeholders.
Responsibilities
- As a data scientist, work with other team members to actively 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
Job 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
Preferred Qualifications
- Experience with Incrementality testing
- Experience with Spike Attribution
- Experience with MMM
- Knowledge of digital marketing strategies and tactics
- Familiarity with marketing technology platforms and data sources
- Knowledge of Advanced attribution concepts & market analytics
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