Principal Data Scientist

December 14, 2024

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Software Mind

WebsiteLinkedInAll Job Openings

IT Outsourcing • Custom Application Services • Nearshore Teams • Offshore Teams • Software Development

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Description

• Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals. • Work closely with product and engineering managers to develop and deploy solutions with cross-functional support. • Educate our business and engineering partners across the organization on data science concepts (e.g., statistics, machine learning). • Build models that support real-time events. • Present work to business and engineering leadership. • Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking. • Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the organization. • Commit to automation and productionalized solutions whenever possible. • Provide mentorship to less experienced data scientists.

Requirements

• MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field. • 8+ years of experience as a data scientist in eCommerce or Logistics. • Hands-on experience in building ranking and recommendation models in production environments. • Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems. • Expert knowledge in statistical and machine learning techniques, Data Science libraries in a programming or scripting language Model deployment, and Machine learning workflows. • Proficiency in Python + related ML libraries and frameworks (Ex: PyTorch), SQL, cloud platforms (e.g., AWS, GCP, Azure), and model development and deployment technologies (e.g., Databricks). • Excellent communication and presentation skills (to both technical and business audiences).

Benefits

• Educational resources. • Flexible schedule and Work From Anywhere. • Referral Program. • Supportive and chill atmosphere.