[Hiring] Data Science Consultant @EPAM

Role Description

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!

• 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

Qualifications

• 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

Requirements

• One or more business domains expertise (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)

Technologies

• Python
• Databricks
• Azure ML
• Big Data (Hadoop, Spark, Hive, etc.)
• AWS
• Docker
• Kubernetes
• DB (Pl SQL, HQL, Mongo)
• Google (Vertex AI) or similar