Data Science Consultant

EPAM Systems Inc; United States; On-site; USD 180,000 - 280,000; Full time

Job summary

EPAM Systems seeks a Senior Manager - Data Science Consultant to lead AI and data science initiatives for clients. You will guide cross-functional teams, shape AI-enabled strategies, and drive end-to-end delivery of AI products that deliver real business value.

The role demands strong leadership, excellent communication, and hands-on expertise in DS/ML, MLOps, and cloud platforms, with a focus on delivering measurable outcomes for enterprise clients.

Qualifications

• Consulting: Experience in translating business problems into applied AI solutions and leading pre-sales activities
• Data Science: 3+ years of hands-on data science and AI domains (CV, NLP, Advanced Analytics)
• Engineering: Delivery of AI from concept to production; familiarity with MLOps & data analytics platforms
• Leadership: Track record leading AI programs and scaling Data Science/AI capabilities

Responsibilities

• Discover, envision and land Data Science, AI and ML opportunities with EPAM teams and clients
• Lead cross-functional teams through business challenges to define AI-based solutions
• Deliver AI products that provide measurable value to end users
• Contribute to EPAM competency development in AI/DS/ML and new offerings
• Apply practical engineering thinking to real-world ML applications
• Collaborate with DevOps on infrastructure and release planning

Skills

Data Science

Leadership

AI/ML

Pre-sales

Communication

Tools

Docker

Kubernetes

Databricks

Azure ML

Vertex AI

Hadoop

Spark

Hive

SQL

MongoDB

Job description

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