Data Science Consultant

EPAM is a leading global provider of digital platform engineering and development services.
We delivered more than 70 large-scale data platforms to our clients, including some of the largest in terms of data and complexity worldwide. Working at EPAM, you will be leveraging our experience to drive end-to-end solutions. From predictive maintenance, fleet management, pricing optimizations, recommenders, fraud detection, smart cities and utilizing computer vision for AR/VR scenarios to large-scale MLOps platforms – you will have an opportunity to work with top tear companies as well as startups, always staying at the forefront of AI products development technologies and methods.
This role is well-regarded for leaders with a strong mathematics background and a desire to work hands-on with Data Science, AI, ML and could be the perfect opportunity to join EPAM as a Senior Manager - Data Science Consultant!
Responsibilities
Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients
Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps
Work with clients to deliver AI Products which provide value to end-users
Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings
Bring your creative engineering mind to deliver real-life practical applications of Machine Learning
Work closely with DevOps practice on infrastructure and release planning
Requirements
Consulting: Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities
Data Science: 3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)
Engineering: Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership.
Leadership: Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position. Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus
Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ
Nice to have
One or more business domains expertise (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)