Data Scientist (MMM)

FocusKPI Inc.

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree in Computer Science/Statistics/Mathematics/Economics or related fields required for data modeling and analytics.
  • Ph.D. in statistics/mathematics, engineering, computer science, economics, or related field is preferred.
  • In-depth knowledge of statistical reasoning and machine learning models is crucial.
  • Experience with causal inference, marketing mix models (MMM), and multi-touch attribution models is mandatory.
  • Familiarity with deep learning, natural language processing (NLP), computer vision, and generative AI is a plus.
  • Ability to conceptualize complex business problems and design practical analytical solutions is essential.
  • Proficiency in Python and SQL is required for data work.

Responsibilities

  • Support clients' modeling needs through maintaining and enhancing existing solutions.
  • Develop innovative, automated tools for custom analytics needs using AI/ML/statistical approaches.
  • Mine large consumer datasets in the cloud for business and statistical analysis.
  • Provide statistical support for marketing tests, campaign measurement, and market insights.
  • Communicate methodologies and results effectively to management and clients, especially non-technical audiences.

Benefits

  • Remote work flexibility anywhere in the US.
  • Full-time position offers stability and career growth opportunities.
  • Engagement in cutting-edge projects involving advanced analytics and R&D.
Full Job Description
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.
Qualifications:
  • 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

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