We are seeking a Lead Data Scientist to join our team.

In this position, you will spearhead the use of advanced data science and machine learning methodologies to tackle intricate supply chain issues, enhance processes, and support better decision-making. Working independently while collaborating with Supply Chain engineering teams, you will develop and deploy impactful solutions that utilize AI and data-driven innovations to shape our supply chain strategy.

Responsibilities

• Build, refine, and implement cutting-edge machine learning models and algorithms designed for supply chain needs, including demand forecasting, inventory management, network design, and logistics optimization
• Collaborate with Supply Chain engineering teams to gather insights into their workflows, technical limitations, and data requirements
• Oversee the entire lifecycle of data science projects, from defining challenges and analyzing data to deploying models and monitoring their performance
• Leverage expertise in Generative AI to design applications that incorporate AI capabilities
• Utilize skills in time-series analysis, forecasting, and statistical modeling to analyze supply chain data and external datasets
• Conduct comprehensive data analyses to identify trends, patterns, and opportunities for enhancing supply chain operations
• Deliver insights, findings, and technical concepts to diverse audiences using clear presentations and visualizations
• Stay informed on advancements in AI and supply chain technologies, experimenting with new methods and approaches
• Create and implement solutions for batch and real-time algorithms, including tools for monitoring, logging, automated testing, performance evaluation, and A/B testing

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Supply Chain Management, or a similar field
• A minimum of 5 years of experience in data science and machine learning, with a specialization in supply chain applications
• At least 1 year of experience leading and managing development teams
• Proficiency in cloud computing platforms like AWS, Azure, or GCP, as well as experience with machine learning tools such as MLFlow
• Advanced knowledge of both relational SQL and NoSQL databases
• Strong programming skills in languages such as Python, R, Scala, or Rust, along with experience in machine learning frameworks and libraries
• Deep understanding of supply chain concepts, processes, and data structures
• Demonstrated ability to deploy data science solutions that enhance supply chain performance
• Outstanding problem-solving skills and analytical thinking for addressing complex challenges creatively
• Strong communication skills, enabling collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders
• Enthusiasm for keeping up with industry advancements and sharing knowledge within the team
• Practical experience with Generative AI services and open-source models
• Self-motivated with the ability to independently manage projects and drive them to completion
• Proven ability to excel in dynamic, fast-paced environments
• Proficiency in English, both written and spoken, at a B2+ level or higher

Nice to have

• Familiarity with distributed computing tools like Spark
• Expertise in deep learning frameworks such as TensorFlow or PyTorch, with hands-on experience in developing complex AI systems

We offer

• Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).
• Medicina Prepaga (It covers the collaborator and direct family group).
• Paternity Leave (Two additional days are added to what is established by law, total of 4 days).
• Discounts card.
• English Training (English lessons, twice per week).
• Training Program (Access to multiple customized training plans according to the needs of each role within the company).
• Marriage bonus (The company doubles the allowance established by law that ANSES offers).
• Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company).
• External Agreements and Discounts.
• Vacations: 14 calendar days a year

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EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.