Lead Data Scientist

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- 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- 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**- Career plan and real growth opportunities- Unlimited access to LinkedIn learning solutions- Constant training, mentoring, online corporate courses, eLearning and more- English classes with a certified teacher- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)- Flexible work schedule and dress code- Collaborate in a multicultural environment and share best practices from around the globe- Hired directly by EPAM & 100% under payroll- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)- 13 % employee savings fund, capped to the law limit- Grocery coupons- 30 days December bonus- Employee Stock Purchase Plan- 12 vacations days- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)- Monthly non-taxable amount for the electricity and internet billsEPAM 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.