Hypersonix Inc.

Data Analyst

• Translate business requirements to analytical outputs in the form of dashboards
• summarize ML outputs to actionable insights
• Supports data exploration and profiling, and works closely with DE team to build data models
• Mentors/trains junior analysts to grow their expertise
• Work with cross-functional teams to deliver the outcomes
• Coordinates with DE/SE to perform data validation and compares against client control totals
• Coordinates with DS team (as required) to conduct analytical QA on DS outputs
• Captures client requirements from BRDs and works closely with product managers to get them fleshed out
• Reviews analytical outputs and prepares insights to present to customers
• Leverages domain and data understanding to drive insights and build intelligence dashboards

Junior Data Analyst

Account Executive

• Manage the full sales cycle: prospecting, demos, negotiations, and closing
• Build and maintain strong relationships with prospects and customers
• Understand customer needs and position Hypersonix solutions effectively
• Meet and exceed monthly and quarterly sales targets
• Work closely with SDRs, marketing, and product teams
• Maintain accurate data in the CRM
• Provide feedback from customers to improve product and sales strategy

Sales Account Executive

Data Scientist

• Support the development of data-driven features for pricing and promotion strategies to improve revenue and profitability.
• Build, test, and maintain analytical models for demand forecasting, price sensitivity, and promotion performance with guidance from senior team members.
• Apply data science, data analysis, machine learning, and statistical techniques to help solve retail business problems such as forecasting accuracy and promotion effectiveness.
• Analyze structured and unstructured retail data to identify trends, understand customer behavior, and generate actionable insights.
• Collaborate with cross-functional teams to implement and scale data solutions, and communicate findings through clear analysis and visualizations.

Junior Data Scientist

• Lead the design and delivery of scalable product features that enable data-driven pricing and promotion strategies to maximize revenue and profitability.
• Build and refine analytical models that integrate price elasticity, demand forecasting, and business insights across products, categories, and customer segments to support optimized pricing and promotion planning.
• Apply advanced data science, machine learning, and statistical techniques to solve key retail business challenges (e.g., forecasting accuracy, promotion effectiveness, inventory optimization) and translate analytical insights into actionable recommendations.
• Analyze structured and unstructured retail data to uncover trends, quantify customer price and promotion sensitivity, and inform commercial strategy.
• Partner with cross-functional teams throughout the development lifecycle to deploy and scale robust data solutions that meet business needs and drive measurable impact.

Senior Data Scientist, ML

Data Engineer

• Design and implement enterprise-scale data pipelines using Databricks on AWS, leveraging both cluster-based and serverless compute paradigms
• Architect and maintain medallion architecture (Bronze/Silver/Gold) data lakes and lakehouses
• Develop and optimize Delta Lake tables for ACID transactions and efficient data management
• Build and maintain real-time and batch data processing workflows
• Create reusable, modular data transformation logic using DBT to ensure data quality and consistency across the organization
• Develop complex Python applications for data ingestion, transformation, and orchestration
• Write optimized SQL queries and implement performance tuning strategies for large-scale datasets
• Implement comprehensive data quality checks, testing frameworks, and monitoring solutions
• Design and implement CI/CD pipelines for automated testing, deployment, and rollback of data artifacts
• Configure and optimize Databricks clusters, job scheduling, and workspace management
• Implement version control best practices using Git and collaborative development workflows
• Partner with data analysts, data scientists, and business stakeholders to understand requirements and deliver solutions
• Mentor junior engineers and promote best practices in data engineering
• Document technical designs, data lineage, and operational procedures
• Participate in code reviews and contribute to team knowledge sharing

Senior Data Engineer, Databricks

Product Manager

• Own and drive the Shopify product roadmap from idea to launch
• Define product vision, goals, and success metrics
• Work closely with engineering and design teams to deliver high-quality Shopify features
• Gather requirements from stakeholders, customers, and market research
• Prioritize features based on business impact and user value
• Write clear product requirements, user stories, and acceptance criteria
• Monitor product performance and improve based on data and feedback
• Ensure alignment between product, business, and customer needs

Senior Product Manager

Product Designer

• Design intuitive and visually appealing UI for Shopify-based websites and applications
• Create wireframes, user flows, mockups, and high-fidelity designs
• Ensure designs align with brand guidelines and usability standards
• Collaborate with developers to ensure accurate design implementation
• Improve existing UI based on user feedback and performance insights
• Maintain consistency across screens, components, and design systems
• Support quick design iterations in an agile environment

UI Designer, Consultant

• Design clean and modern UI for web and product experiences
• Create wireframes, mockups, and high-fidelity designs
• Maintain and evolve design systems and UI standards
• Collaborate closely with Product, UX, and Engineering teams
• Ensure design consistency across all screens and platforms
• Iterate designs based on feedback and business needs

UI Designer

• Explore and design dynamic and compelling user experiences.
• To build next-generation web applications which are efficient, reusable front-end abstractions and systems.
• Work closely with designers to implement versatile front-end solutions while embracing emerging standards and pushing the limits of what a browser can do.
• Actively participate in design and code reviews to build robust applications and prototypes.
• Analyse system function and performance requirements to support design concepts.
• Work closely with Product managers, UX designers and back-end engineers to implement frontend solutions.
• Endorsing upcoming standards, launching, iterating, and making a difference.