Head of Data Science Consulting

Requirements:

Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients

  • Lead cross functional EPAM and/or EPAM’s client’s 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
  • Contribute to the growth of the Data Science talent pool at your location
  • Bring your creative engineering mind to deliver real-life practical applications of Machine Learning
  • Work closely with DevOps on infrastructure and release planning

    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. This role is well-regarded for leaders with a strong mathematics background and a desire to work hands-on with Machine Learning (ML) technologies
  • 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:
Domain Expertise (nice to have): deep expertise within one or more business domains (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)