In this role, you'll spearhead the company's advanced predictive modeling and analytics to elevate its 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 for different businesses.
Work Location: Remote - anywhere in the US
Duration: Full-time position
Pay Range: $90k+/annum
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.
- An advanced degree in Computer Science/Statistics/Mathematics/ Economics, or related fields, requires advanced training in data modeling and analytics.
- Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field
- 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 is highly valued and mandatory to have
- An added advantage is familiarity with deep learning, natural language processing (NLP), computer vision, and generative AI.
- 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).
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
Skills Required
- Ph.D. degree in statistics, mathematics, engineering, computer science, economics, or related field
- Advanced degree in Computer Science, Statistics, Mathematics, Economics or related field with advanced training in data modeling and analytics
- Deep understanding of statistical reasoning and ML models
- Experience with causal inference, marketing mix models (MMM), and multi-touch attribution (mandatory)
- Proficiency in Python
- Proficiency in SQL
- Experience with cloud platforms, database technologies, and parallel processing frameworks (big data tools)
- Ability to conceptualize complex business problems and design practical modeling and analytical solutions
- Strong verbal, written, and presentation communication skills
- Entrepreneurial, self-motivated, collaborative, detail-oriented, and able to prioritize in a demanding environment
- Familiarity with deep learning, natural language processing (NLP), computer vision, and generative AI
What We Do
FocusKPI brings deep domain experience in business and marketing analytics to enable our clients to unlock growth-driving insights from data. We help our clients develop action-oriented analytics and data science products that are customized to company-specific needs and integrated into their platforms for ongoing use. Our Accelerators, a toolbox of frameworks and models built over 10+ years, fast-track projects by capitalizing on our experience. Capabilities: Predictive Analytics AI / Machine Learning Measurement Text Analysis Key Industries Served: Retail Media B2B & B2C Sales, Marketing, and Merchandising Software & Applications








