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 modern-day solution to meet customers’ 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