Specialist Parow East

The Foschini Group; Gauteng; Hybrid; ZAR 600 000 - 800 000; Full time

Job summary

A leading retail company in Cape Town seeks a Data Scientist to optimize merchandise processes using data analytics and innovative solutions. Ideal candidates will have 3-5 years of experience in data science, preferably in retail, and skills in SQL and Python. The role involves collaboration with various teams to develop data-driven strategies and analyze trends for stock management. Join to be part of an innovative team that transforms data into impactful decisions. This position offers a hybrid work model.

Qualifications

• 3-5 years of experience in data analytics or data science, preferably in retail.
• Experience in supply chain or merchandise analytics is desirable.
• Familiarity with ML Ops and agile methodologies is advantageous.

Responsibilities

• Develop and implement advanced analytics and data science solutions.
• Analyze data trends to support stock management and retail analytics.
• Collaborate with teams to design data-driven strategies.

Skills

SQL

Python programming

Analytical and critical thinking

Predictive modeling techniques

Data modeling, analysis, and visualization

Excellent communication skills

Education

Bachelor's degree in Data Science or related field

Job description

Data ScientistCape Town, South Africa (Hybrid work model)PermanentAbout TFG : Who we are is because of our people.

They are our greatest asset.

TFG is an internationally diversified retail portfolio of 34 speciality lifestyle and apparel brands that inspire our customers to live their best lives and are woven into the lives of millions.

Our vision is to create the most remarkable omnichannel experiences for our customers.

TFG is more than a workplace; it's a launchpad for your growth.

Join us and explore endless growth opportunities across our diverse brands.

We're a purpose-led business and on this team, you'll share the pride of making an impact across a whole industry.

About the Division : The Merchandise Process Optimisation team is a pivotal part of TFG's commitment to innovation and excellence.

Within this team, the Analytics division is instrumental in crafting the algorithms and solutions that power our merchandise systems and initiatives.

We focus on data analytics and data science initiatives that streamline operations, optimize inventory distribution, and advance strategic initiatives that drive our overarching business objectives.

Key Responsibilities

• Develop and implement advanced analytics and data science solutions to optimize merchandise processes and systems
• Analyze data trends to support allocations, stock management, and other retail analytics needs
• Collaborate with cross-functional teams to design and execute data-driven strategies for merchandise optimization
• Contribute to the enhancement of ML Ops processes and agile methodology practices
• Stay abreast of industry trends and technological advancements to drive innovation within TFG

Qualifications and Experience

• Bachelor's or higher degree in Data Science, Operations Research, Statistics, or related analytical field
• A minimum of 3-5 years of proven experience in data analytics or data science, preferably within the retail sector, demonstrating a track record of delivering impactful data-driven insights and solutions
• Experience in supply chain or merchandise analytics is highly desirableFamiliarity with ML Ops and agile methodologies is advantageous

Skills

• Expertise in SQL and Python programming
• Strong analytical and critical thinking abilities
• Proficient in predictive modeling techniques, with the ability to develop and apply models for forecasting and trend analysis
• Ability to interpret complex data and translate it into actionable insights
• Proficiency in data modeling, analysis, and visualization
• Excellent communication and collaboration skills

Behaviours

• A passion for leveraging data to drive business success
• Flexibility and adaptability to change in a fast-paced environment
• Innovative and proactive approach to problem-solving
• Commitment to continuous learning and professional development
• Strong team player with a customer-focused mindset

Join TFG and be at the forefront of retail analytics innovation.

Apply now and transform data into decisions that shape the future of retail.