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 


    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  

    NICE TO HAVE  
  • 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  

     

 

Published 9 June
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