Data Scientist

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Numerator

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Git Sas R Analytics

Job Description

We’re reinventing the market research industry. Let’s reinvent it together.

At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Experience: 2-5 years of experience in Data Science

Technical Skills: Proficiency in R is mandatory

Soft Skills: Strong communication skills, fluency in English, and experience collaborating with international teams or clients

Key Responsibilities:

  • Lead and deliver complex analytics projects, leveraging 2-5 years of experience to generate clear, data-driven insights that address key business challenges using granular datasets.
  • Handle large and diverse datasets by cleaning, transforming, and analyzing data using R.
  • Apply statistical techniques and advanced modeling approaches to transactional, panel, and attitudinal data to solve critical business problems.
  • Build strong expertise in the organization’s analytical solutions, including their technical frameworks and business impact.
  • Promote and share analytical best practices across teams to enhance alignment, capability development, and continuous improvement.
  • Translate complex analytical concepts into simple, clear insights for both technical and non-technical stakeholders.
  • Contribute to the improvement of analytical tools, methodologies, and operational processes.
  • Act as a subject matter expert, providing guidance to internal teams to ensure high-quality, best-in-class analytical outputs.

What You'll Bring to Numerator

Education

  • Bachelor’s degree in Mathematics, Statistics, Engineering, or a related quantitative field.
  • A Master’s degree or higher is preferred but not mandatory.

Technical Skills

  • Strong proficiency in R and working knowledge of Git (required).
  • Familiarity with SAS, SQL, Python, and Shiny is a plus.
  • Experience in managing large datasets, performing statistical analysis, and building visualizations within the R ecosystem.

Analytical & Domain Expertise

  • Keen interest in consumer behavior, brand growth, and deriving insights from data.
  • Exposure to panel or survey data is advantageous but not essential.
  • Strong analytical thinking with the ability to identify patterns and convert complex data into actionable insights.

Communication & Collaboration

  • Excellent English communication skills; experience working with global, cross-functional teams is an added advantage.
  • Ability to collaborate effectively across diverse cultural and technical environments.
  • Strong interpersonal skills with the confidence to engage stakeholders at all levels and lead meaningful discussions.

Mindset & Work Approach

  • Adaptable, proactive, and curious, with a continuous focus on improving processes, enhancing quality, and minimizing errors.
  • Demonstrated passion for understanding consumer behavior, driving analytical innovation, and delivering impactful outcomes.

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