

Aroghia Group, LLC
Senior Developer & AI Innovation Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Developer & AI Innovation Lead with a contract length of "unknown" and a pay rate of "unknown." Requires 5+ years in software development, expertise in Python/TypeScript/SQL, and experience in AI/ML applications. Background in retail or supply chain preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Beaverton, OR
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🧠 - Skills detailed
#Forecasting #Datasets #Databricks #Snowflake #ML (Machine Learning) #BigQuery #JavaScript #VBA (Visual Basic for Applications) #Deployment #Python #Automation #Data Orchestration #SQL (Structured Query Language) #TypeScript #AI (Artificial Intelligence) #Cloud
Role description
5+ years of software development experience with strong proficiency in at least two of: Python, TypeScript/JavaScript, SQL, or cloud-native frameworks
Demonstrated experience applying AI/ML in a product or business context — not just experimentation, but solutions that users depend on
Proven ability to take a legacy tool or process and modernize it end-to-end (architecture, data layer, UX, deployment)
Experience designing and building data-intensive applications — working with large, structured datasets, aggregation logic, and multi-dimensional planning grids
Strong communication skills with the ability to translate between technical and business stakeholders; comfortable leading workshops, demos, and whiteboard sessions with non-technical planners
Self-directed mindset: you can take ownership of a problem space, define the roadmap, and execute with minimal direction
Strongly Preferred
Working knowledge of demand planning, assortment planning, or merchandise financial planning processes — understanding how planners think about seasonal horizons, style-level forecasting, and geo-level allocation
Experience with Excel/VBA automation tools and an appreciation for why users love spreadsheets (flexibility, speed, visibility) — and how to preserve those qualities in a modern platform
Hands-on experience with LLMs, prompt engineering, AI agents, or copilot-style interfaces in an enterprise setting
Familiarity with cloud data platforms (e.g., Snowflake, Databricks, BigQuery) and modern data orchestration tools
Background in retail, consumer products, or supply chain technology
Nice to Have
Experience with forecasting models (statistical, ML-based) for demand or sales planning
Familiarity with planning tools such as Anaplan, o9, Kinaxis, or similar
Experience building tools that replaced or augmented spreadsheet-based workflows
Background in sport or lifestyle retail
5+ years of software development experience with strong proficiency in at least two of: Python, TypeScript/JavaScript, SQL, or cloud-native frameworks
Demonstrated experience applying AI/ML in a product or business context — not just experimentation, but solutions that users depend on
Proven ability to take a legacy tool or process and modernize it end-to-end (architecture, data layer, UX, deployment)
Experience designing and building data-intensive applications — working with large, structured datasets, aggregation logic, and multi-dimensional planning grids
Strong communication skills with the ability to translate between technical and business stakeholders; comfortable leading workshops, demos, and whiteboard sessions with non-technical planners
Self-directed mindset: you can take ownership of a problem space, define the roadmap, and execute with minimal direction
Strongly Preferred
Working knowledge of demand planning, assortment planning, or merchandise financial planning processes — understanding how planners think about seasonal horizons, style-level forecasting, and geo-level allocation
Experience with Excel/VBA automation tools and an appreciation for why users love spreadsheets (flexibility, speed, visibility) — and how to preserve those qualities in a modern platform
Hands-on experience with LLMs, prompt engineering, AI agents, or copilot-style interfaces in an enterprise setting
Familiarity with cloud data platforms (e.g., Snowflake, Databricks, BigQuery) and modern data orchestration tools
Background in retail, consumer products, or supply chain technology
Nice to Have
Experience with forecasting models (statistical, ML-based) for demand or sales planning
Familiarity with planning tools such as Anaplan, o9, Kinaxis, or similar
Experience building tools that replaced or augmented spreadsheet-based workflows
Background in sport or lifestyle retail






