WHO WE ARE AT BASH
We are a team of leaders - true owners, humble learners and friends. We’re here to overcome big challenges, build tech solutions for people to enjoy, while doing the best work of our careers, together, as Bash.
This journey requires grit, ambition and teamwork to thrive. We are transforming SA retail for the better; using a stable, secure base as our catalyst for change. We are building on a scale that will test our limits but when we break through, the impact on us and our customers will be profound.
Overview:
At Bash, we’re reimagining retail at scale. You’ll lead and collaborate optimising revenue and profitability across our e-commerce and marketplace operations. If you’re the type who loves solving complex problems, thrives in fast-paced environments, and wants to impact decisions across inventory, pricing, and retail planning—this is the role for you.
Your Mission:
To develop and execute machine learning and mathematical models that optimise pricing, promotions, profitability, and inventory management at Bash. You’ll collaborate with our retail, data, and supply chain teams, integrating operational insights and building algorithms that balance customer experience with profitability.
WHAT YOU’LL DO
Develop Optimization Models: Lead the creation of dynamic pricing, promotion, and revenue optimization models using advanced statistical and mathematical techniques to ensure competitiveness while maximizing profitability.
Revenue & Profit Analysis: Utilize testing methodologies and analytical approaches to assess the impact of pricing strategies on revenue, margins, and customer lifetime value.
Drive Strategic Insights: Leverage data analysis and optimization techniques to provide actionable insights that will shape retail buying and planning processes.
Trend and Data Analysis: Analyze and interpret sales, customer, and market data to provide insights that drive retail strategy. Monitor the effectiveness of strategies and campaigns, suggesting adjustments to improve sales and profitability.
Forecasting: Assist in forecasting sales, demand, and product performance based on historical data and market conditions to inform inventory and purchasing decisions.
Assortment Optimization: Examine customer behavior and buying trends to identify opportunities for refining product assortment, ensuring alignment with market demand and maximizing sales potential. Prioritize category expansion strategies for maximum return.
Basket Size Optimization: Identify and implement cross-selling strategies to enhance order value, purchase frequency, and overall profitability by leveraging customer insights and purchasing patterns.
Collaborate Across Teams: Partner closely with retail, supply chain, and data teams to ensure that algorithms and strategies align with business goals like margin growth and inventory efficiency.
WHO YOU ARE:
This job is for you if you have:
Mathematically Proficient: You have strong expertise in statistical analysis and optimization, with a deep understanding of pricing elasticity and revenue optimization.
Analytical Thinker: You thrive on deep data analysis, using quantitative methods to drive insights and make data-backed decisions.
Problem Solver: Skilled in optimization techniques like linear programming and stochastic modeling, you know how to turn complex business problems into scalable solutions.
Collaborative Leader: You're excited to work cross-functionally, bringing together teams from engineering, retail, and supply chain to create impactful, data-driven pricing strategies.
Strategic Visionary: You understand the broader market dynamics and can develop strategies that balance customer experience with profitability.
What you will need
Experience: 5+ years in data science, analytics, operations research, or related roles.
Expertise in Pricing Strategies: Experience with testing methodologies, revenue optimization, or pricing strategies in a commercial setting.
Advanced Modeling Skills: Proven ability to build and deploy statistical models in production environments.
Data Handling Abilities: Strong skills in data analysis, working with large datasets, and translating data into actionable insights.
Industry Knowledge: Experience in retail, e-commerce, or supply chain is a bonus, bringing valuable context to the role.
JOINING THE BASH TEAM: WHERE YOU’LL BE
We are intentional about connecting and give you the tools & equipment to enable you to do work that matters. We also believe that doing certain types of work happens best organically which is why we encourage our teams to travel so we can make magic happen face to face. Our offices are a vibe. They are decked out to make collaboration easy and help our team create lasting connections with each other.
BASH BENEFITS: WHAT’S IN IT FOR YOU?
A seriously smart team of people! We are selective about who joins our team to make sure we’re made up of the best of the best
Agency: Structures remain flat, accountability wide
Top $$: The best people, in the right roles, earning at the top tier. Our ethos is about quality and aligning merit and output with the rewards. We believe in reciprocity.
Saving for your future: Saving is not easy. Taking a chunk monthly for your future is imperative. We provide the fund and support to do just that
Quarterly parties: Connection and community is our jam
Extensive opportunity to learn: Library, interest groups and team rotations
Exclusive shopping discount: Save when you shop across 29 of SAs biggest brands
LIFE AT BASH
We are a team of data crazed, caring, overachievers with a sense of style and a need to push boundaries. Everyone at Bash is committed to doing the best work of their careers and they are rewarded for it. We welcome differences and want you to bring your best, full self to work - sometimes life is not easy and we get it.
Bash is product and tech led but rooted in our values and principles. They keep us honest and accountable, and provide our grounding.
They help us learn and grow with every new person, every new idea and through our collective wins and failures.
It is a rare opportunity to transform an industry and a retailer and we are only just getting started. Now is the time to jump onboard.
Come and be part of our community.