This is a fully remote position, open to applicants in India.

• Convert intricate distributor transaction data into actionable sales prospects.

• Create predictive models, recommendation systems, and commercial analytics solutions that directly impact sales strategies and revenue growth.

• Collaborate with extensive B2B datasets encompassing thousands of customers, products, SKUs, and branch locations.

• Transform raw ERP data into valuable insights, dashboards, and opportunity suggestions for commercial teams and business leaders.

• Aid sales teams, executive decision-making, and initiatives for business growth.

• Over 6 years of experience in Data Science, Analytics, or Machine Learning roles.

• Strong background in working with B2B commercial datasets that include customers, products, transactions, and sales data.

• Demonstrated experience in developing:

• Recommendation systems

• Market basket analysis models

• Propensity and predictive analytics models

• Advanced expertise in Python and SQL.

• Experience managing large-scale transactional datasets with millions of records and extensive product catalogs.

• Practical experience with ERP-generated data and complex commercial data structures.

• Strong analytical thinking and problem-solving skills.

• Ability to convey technical concepts effectively to business stakeholders.

• Experience with ERP platforms such as Prophet 21, Eclipse, Kinetic, or similar enterprise systems.

• A background in distribution, wholesale, manufacturing, industrial products, retail analytics, or B2B commerce.

• Experience in developing analytics solutions focused on SKU-level purchasing behavior.

• Understanding of recommendation engines and customer analytics in B2B contexts.

• Hands-on experience with Power BI, Tableau, or similar visualization tools.

• Familiarity with data quality challenges, including duplicate records, inconsistent hierarchies, and fragmented transactional data.

• Competitive salary and performance-based incentives.

• Opportunities for professional development and training.

• Comprehensive health and wellness benefits.

• Flexible work arrangements and a supportive work environment.

Data Scientist

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