Project - the aim you'll have

We are looking for a Principal Data Scientist to join one of our USA Clients' engineering teams which is building solutions to dramatically change the way people purchase their daily goods, providing the modern-day solution to meet customer’s immediate everyday needs with products ranging from snacks and ice cream to household goods and beer, at the click of a button.    

If you enjoy working with cutting-edge technologies in a fast-paced environment this opportunity is for you! 

Expectations - the experience you need

• 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. 
• Experience in dispatch optimization (design the optimal dispatch plan).
• 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). 

What you will do

• 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.
   

Our Benefits   

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

We are accepting applications from LATAM countries

Position at: Software Mind LATAM