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Principal Data Scientist
hace 1 semana
2 days ago Be among the first 25 applicants
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 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
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.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
Additional Information Seniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Software Mind by 2x
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