Data Scientist (MMM)
About The Position
FocusKPI is seeking smart, curious, technically savvy, and experienced candidates to join our cutting-edge internal data science team. The data science team at FocusKPI builds models and machine learning algorithms that power all our clients' ad-tech/mar-tech products at scale, develops methodologies and tools to precisely and effectively measure market campaign effects, and researches in-house and public data sources for insights into consumer spending behavior. In this role, you'll spearhead the company's advanced predictive modeling and analytics to elevate our analytical capabilities. In addition, you'll be expected to play an essential role in executing the R&D agenda and delivering products on time and to high-quality standards across different businesses.
Requirements
- An advanced degree in Computer Science/Statistics/Mathematics/ Economics, or other fields requires advanced data modeling and analytics training.
- Deep understanding and solid knowledge of the fundamentals of statistical reasoning and ML models.
- Experience with causal inference, marketing mix models (MMM), and multi-touch attribution models are highly valued and are mandatory to have
- Skilled in conceptualizing complex business problems and designing practical, effective modeling and analytical solutions to address them.
- Proficiency in common programming languages such as Python and SQL.
- Experienced and comfortable working with standard big data tools, including cloud platforms, database technologies, and parallel processing frameworks.
- Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, willing and capable to learn quickly, and effectively prioritize and execute tasks in a demanding environment.
- Great communication skills (verbal, written, and presentation).
Nice To Haves
- Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field
- An added advantage is familiarity with deep learning and natural language processing (NLP), computer vision, and generative AI.
Responsibilities
- Support clients' modeling needs, including maintenance, enhancement of existing measurement and targeting solutions, and timely, high-quality delivery.
- Developing innovative and automated solutions for custom needs, leveraging appropriate AI/ML/statistical tools.
- Mine large consumer datasets in the cloud environment to support ad hoc business and statistical analysis.
- Provide analytical/statistical support for marketing test design, campaign measurement, and market insights to clients and stakeholders.
- Communicate methodologies and results to management, clients, and other non-technical stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
51-100 employees
