[VGP] Principal Data Scientist

Posted 9 Days Ago
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Hiring Remotely in Buenos Aires, Ciudad Autónoma de Buenos Aires
Remote
Senior level
Software
The Role
As a Principal Data Scientist, you'll develop Machine Learning, statistical, and causal models for product search, ranking, and recommendation systems. You'll collaborate with cross-functional teams, educate stakeholders on data science concepts, identify data gaps, create data product specs, and mentor junior data scientists.
Summary Generated by Built In

Company Description

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Job Description

Project - the aim you'll have

We are looking for a Senior 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! 

Qualifications

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. 
  • 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

Additional Information




Top Skills

Python
The Company
HQ: Cracow
1,000 Employees
On-site Workplace
Year Founded: 1999

What We Do

Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond.

For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery.

A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.

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