Data Scientist / Analyst / Customer Success(… at Neuralix.ai · Remote

*Position Overview: *

Neuralix.AI Private Limited is seeking a Data Scientist/Analyst/Customer Success professional to work on AI-driven supply chain optimization projects for enterprise clients. This role combines technical data analysis, machine learning implementation, and direct client engagement to deliver measurable business impact in inventory management and operational efficiency.

*Key Responsibilities *

● Analyze large-scale inventory and supply chain datasets from ERP systems, data warehouses, and optimization platforms.
● Develop and refine data extraction algorithms, duplicate detection models, and inventory optimization logic.
● Build models incorporating demand patterns, lead times, safety stock calculations, and material criticality.
● Write Python code for data processing, regex-based extraction, and batch processing workflows.
● Create structured reports and dashboards for business validation and decision-making.
● Serve as a primary point of contact for client stakeholders and present insights to senior leadership. ● Translate complex technical concepts into business language and actionable recommendations.
● Conduct business validation sessions and gather requirements for project phases.
● Identify data quality gaps and recommend governance improvements.

Required Qualifications
● Bachelor's degree in Data Science, Computer Science, Statistics, Industrial Engineering, Supply Chain Management, or a related quantitative field.
● 2–5 years of experience in data analysis, business intelligence, or customer-facing analytics roles.
● Strong proficiency in Python for data analysis, including pandas, NumPy, regex, and JSON processing.
● SQL experience for querying and analyzing large datasets.
● Advanced Excel skills, including formulas, pivot tables, and data validation.
● Understanding of inventory management concepts such as ROP, EOQ, safety stock, lead times, and demand patterns.
● Excellent communication skills with the ability to present to senior stakeholders.
● Client-focused mindset with demonstrated ability to build trusted relationships.
● Experience working with enterprise clients, preferably in manufacturing or supply chain domains.

Preferred Qualifications
● Master's degree in a relevant quantitative field.
● Experience with machine learning, natural language processing, or AI-driven analytics.
● Familiarity with ERP systems, with SAP experience preferred.
● Knowledge of material master data structures.
● Knowledge of mining, heavy industry, or MRO inventory management.
● Experience with data visualization tools such as Tableau or Power BI.
● Understanding of supply chain forecasting and demand planning.
● Previous customer success or client-facing consulting experience.

What You'll Work On
● AI-driven data structuring and taxonomy extraction from unstructured material descriptions.
● Intelligent duplicate detection and elimination algorithms.
● Obsolescence management and non-moving inventory analysis.
● Master data governance frameworks and data quality improvement.
● Intelligent recommendation engines for inventory optimization.
● Platform deployment and client adoption initiatives.

Why Join Neuralix.AI
● Work on cutting-edge AI and machine learning applications in enterprise settings.
● Directly contribute to Fortune 500 clients' supply chain transformations.
● Gain exposure to the full project lifecycle, from discovery to deployment.
● Work in a collaborative environment with engineering and product teams.
● Grow with expanding projects, use cases, and AI capabilities.

How to Apply Interested candidates can submit their resume and cover letter highlighting relevant experience in data analysis, client engagement, supply chain optimization, and Python/SQL.

*Apply at: sarita@neuralix.ai *