Remote Data Scientist - Consumer Insights

Placements24

Kempton Park

A distancia

ZAR 900.000 - 1.300.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Medical Insurance
Dental Insurance
Vision Insurance
Remote Work Stipend
Learning opportunities
Flexible hours
Access to cutting-edge tools

Descripción de la vacante

Placements24 is seeking an experienced Data Scientist for a fully remote role focused on Consumer Insights in the FMCG sector. You will build advanced analytics, derive actionable insights, and shape product and marketing strategies from home.

The role emphasizes clear communication of complex results to diverse audiences and collaboration across marketing, product, and sales teams. The ideal candidate brings 5+ years in data science, a strong background in Python or R, SQL, ML, and data

Formación

  • Master's or PhD in a quantitative field (Data Science, Statistics, CS, Mathematics)
  • 5+ years of Data Scientist experience, preferably in FMCG/consumer analytics
  • Strong programming in Python or R and SQL for data extraction, modeling, and reporting
  • Solid understanding of statistical modeling, ML algorithms, and data visualization
  • Experience with big data technologies (Spark, Hadoop) is a plus
  • Excellent problem-solving, communication, and remote collaboration skills
  • Proven ability to translate complex data into actionable business insights

Responsabilidades

  • Design, develop, and implement statistical models and ML algorithms on large consumer datasets
  • Extract, clean, and transform data from diverse sources for robust analysis
  • Develop dashboards and reports to visualize insights for stakeholders
  • Collaborate with marketing, product, and sales to define analytical needs and deliver recommendations
  • Identify opportunities for data-driven product optimization based on insights
  • Stay current with DS advances and apply them to enhance analytics capabilities
  • Present findings clearly to both technical and non-technical audiences
  • Contribute to data governance and best practices within the organization

Conocimientos

Python
R
SQL
Statistical modeling
Machine learning
Data visualization
Big data
Communication

Educación

Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or related field

Herramientas

Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Spark
Hadoop

Descripción del empleo

About the Role

Join our client, a major force in the FMCG industry, as a Remote Data Scientist specializing in Consumer Insights. This fully remote position offers an exceptional opportunity to leverage advanced analytical techniques to unlock deep understanding of consumer behavior and market trends. You will be working from the comfort of your own home, contributing to strategic decision-making across a range of our client's popular brands. Your work will directly influence product development, marketing strategies, and overall business growth. This role requires a proactive, self-motivated individual who thrives in a remote-first environment and excels at communicating complex findings to diverse audiences. We are looking for someone who can transform raw data into compelling narratives that drive actionable insights and competitive advantage for our client's extensive product portfolio. This is an exciting chance to shape consumer experiences from a distance and contribute to impactful, data-driven initiatives.

Key Responsibilities
  • Design, develop, and implement sophisticated statistical models and machine learning algorithms to analyze large datasets related to consumer behavior, purchasing patterns, and market dynamics.
  • Extract, clean, and transform data from various sources, ensuring data integrity and accuracy for analysis.
  • Develop and maintain dashboards and reports to visualize key consumer insights and trends for stakeholders across different departments.
  • Collaborate closely with marketing, product development, and sales teams to define analytical requirements and deliver actionable recommendations.
  • Identify opportunities for data-driven product innovation and optimization based on consumer insights.
  • Stay abreast of the latest advancements in data science, machine learning, and AI, and apply them to enhance our client's analytical capabilities.
  • Communicate complex analytical findings clearly and concisely through presentations and written reports, tailored to both technical and non-technical audiences.
  • Contribute to the development of data governance policies and best practices within the organization.
Requirements
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Proven experience (5+ years) as a Data Scientist, preferably within the FMCG sector.
  • Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Expertise in SQL for data extraction and manipulation.
  • Solid understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
  • Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Excellent problem-solving and critical-thinking skills.
  • Strong communication and collaboration skills, with the ability to work effectively in a fully remote team.
  • Demonstrated ability to translate complex data into understandable business insights.
  • Self-starter with a strong sense of ownership and ability to manage multiple priorities in a remote setting.
Benefits
  • Highly competitive salary and performance-based bonuses.
  • Comprehensive medical, dental, and vision insurance.
  • Generous remote work stipend for home office setup and expenses.
  • Opportunities for continuous learning through online courses and industry conferences.
  • Flexible working hours to accommodate different time zones and personal schedules.
  • Access to cutting-edge technology and analytical tools.
  • A supportive and collaborative remote work culture.
  • Contribution to impactful projects that shape consumer experiences globally.
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