We are seeking a Data Science Consultant to join our team. This role is integral to the ongoing development of comprehensive and unified data science consulting across all projects within our company. As the Data Science Consultant, you will provide expertise in data science, data science commons, natural language processing, and the GenAI Tech Stack. If you have a demonstrated history of data science consulting and a passion for leveraging technology to drive business insights, we encourage you to apply.
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.
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Responsibilities
- Provide technical leadership and strategic expertise in ML and AI by driving the design, development, and implementation of ML/AI solutions for clients plan
- Connect across the organization to drive AI adoption in other verticals-envision new products, solutions, offerings, and other differentiators
- Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
- Monitor the latest advancements within ML/AI emerging technologies, proactively recommending new approaches while understanding their impact within a complex regulatory environment
- Perform as the liaison between business, legal, and technology stakeholders across EPAM and within our client engagements
- Support sales and pre-sales activities by assessing Data opportunities, responding to RFPs, and creating proposal presentations
- Extensive experience working in a leadership role within Data Analytics, Machine Learning & AI
- Proven track record designing and implementing ML/AI solutions
- Good hands-on experience with SQL Cloud experience (AWS, Azure, or GCP)
- Deep understanding of Machine Learning including deep learning, statistics fundamentals, human-computer interaction, CNN/RNN
- Ability to explain complex technical concepts to both technical and non-technical audiences
- Proficient in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow
- Excellent problem-solving skills and the ability to analyze complex business requirements and translate them into practical ML/AI solutions
- Familiar with working within a highly regulated industry or in a technology-adjacent regulatory function
- Connectivity Bonus (15,000 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