Fractal - New York, NY

posted 6 months ago

Part-time - Senior
New York, NY
Professional, Scientific, and Technical Services

About the position

Fractal Analytics is seeking an experienced Senior Decision Scientist to lead client projects in Marketing Mix Modeling (MMM) specifically for the Consumer Packaged Goods (CPG) sector. This position is pivotal in maintaining, tuning, and upgrading existing models while collaborating closely with cross-functional teams to ensure successful data and modeling deployment. The ideal candidate will possess a deep understanding of data science within the CPG industry and have a strong background in MMM. This role is situated within our CPG practice and reports directly to the MMM Client Delivery Lead at Fractal. As we continue to deliver services in Revenue Growth Management (RGM) to our clients, this position is designed to accelerate the setup and scale of that journey. The successful candidate will engage, influence, and inspire a wide variety of stakeholders internally, including teams from AI, Engineering, and Design, to drive collaboration and alignment. In this role, you will lead technical and business discussions with customers, focusing on key performance indicators (KPIs), metrics, data science, and data engineering. You will manage customer relationships and oversee proof of value (PoV) project management. Additionally, you will conduct user and stakeholder workshops to showcase results and provide an overview of model functionality. Leading a small group of data scientists and analysts, you will streamline data science work with product design, develop solution frameworks, and present insights. Your responsibilities will also include data wrangling and exploration to extract insights, maintaining and refining the data science engine, performing descriptive analysis, and building visualizations to help customers understand the drivers of their business metrics. Moreover, you will conduct research and prototype innovations, gather data and requirements, scope solutions, and consult clients on advanced statistical and machine learning problems. Collaboration with different functional teams, including engineering and product development, will be essential to implement models and monitor outcomes. You will work closely with engineering and design teams, as well as MMM/CPG leadership, to develop product requirements and user stories. Leading the collaboration with data engineering teams, you will ensure a smooth transition from data science development to industrialization by providing necessary support. Your role will also involve planning code development and redevelopment, enforcing proper coding standards, and ensuring comprehensive documentation and strong code management through version control. Regular code reviews with the data scientist project lead will be part of your responsibilities, ensuring a common code base for efficient rollout in new markets with a highly modular architecture, well-designed data abstraction, and high configurability.

Responsibilities

  • Lead technical and business discussions with customers focusing on KPIs, metrics, data science, and data engineering.
  • Manage customer relationships and oversee proof of value (PoV) project management.
  • Conduct user and stakeholder workshops to showcase results and provide an overview of model functionality.
  • Lead a small group of data scientists and analysts to streamline data science work with product design.
  • Design solution frameworks and present insights to stakeholders.
  • Use data wrangling and exploration to extract insights and relationships from the data.
  • Maintain, refine, tune, and upgrade the data science engine.
  • Perform descriptive analysis and build visualizations to help customers understand business metrics.
  • Conduct research and prototype innovations, including data and requirements gathering and solution scoping.
  • Consult clients and client-facing teams on advanced statistical and machine learning problems.
  • Collaborate with different functional teams to implement models and monitor outcomes.
  • Work with engineering and design teams to develop product requirements and user stories.
  • Lead collaboration with data engineering teams to ensure smooth transition from data science development to industrialization.
  • Plan code development and redevelopment, providing direct support to data science developers.
  • Enforce proper coding standards and ensure comprehensive documentation and strong code management through version control.
  • Lead regular code reviews with the data scientist project lead.

Requirements

  • 10+ years of work experience related to MMM data science and analytics in the CPG domain.
  • Ability to understand analytics and machine learning concepts and apply them to solve problems.
  • Creative thinker with strategic thinking and analytical problem-solving skills.
  • Attention to detail and discipline with active listening skills.
  • Outstanding communication, presentation, and leadership skills.
  • Strong organizational and time management skills.
  • Ability to manage stakeholders and their expectations effectively.
  • Ability to design solution frameworks with minimal guidance and lead client discussions.
  • Strong knowledge of machine learning and statistical modeling techniques, with exposure to cloud technologies such as Azure Databricks.
  • Experience with programming languages such as Python and Spark.

Nice-to-haves

  • Experience working closely with teams that utilize programming languages such as Python and Spark.
  • Strong understanding of CPG data sources, algorithms, and software design principles.

Benefits

  • Health insurance coverage
  • Dental insurance coverage
  • Vision insurance coverage
  • Life insurance coverage
  • Disability insurance coverage
  • 401(k) plan participation after 30 days of employment
  • 11 paid holidays
  • 12 weeks of parental leave
  • Flexible PTO policy allowing for sick time or vacation.
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