Position: Data Science Consultant
Company: EPAM Systems
Category: Data Science
Experience required: 3y
English level: upper

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 for AI Products development technologies and methods.

REQUIREMENTS

The ideal candidate will have the following qualifications:
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 areas (Computer Vision, NLP, Advanced Analytics, etc.)
Engineering: Experience delivering AI to production, familiarity, and experience with MLOps, Data, Analytics platforms design, development, leadership
Leadership: Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients; Experience growing the team to scale up Data Science, AI &ML capability
Consulting: Experience in exploring the business problem and converting it to technology solutions; Expertise in pre-sales, solution definition activities
Domain Expertise (nice to have): deep knowledge of one or more business domains (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Lifescience)
Typical technologies: Python, ML, AI, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (PlSQL, HQL, Mongo), Azure (Azure ML), Google (Vertex AI), Databricks or similar

WHAT YOU’LL DO
Drive cross-functional EPAM and/or EPAM’s client’s teams to understand challenges and define solutions for EPAM’s clients leveraging AI, Data Science, Machine Learning, and Machine Learning Engineering skills
Work with clients to deliver AI Products providing 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 location’s growth, both in terms of talent and location capabilities
The ultimate candidate would have a strong mathematics background and a desire to work with Machine Learning (ML) technologies hands-on
Ability to wear many hats at a time and willing to train some of these skills if you bring the passion and desire to grow professionally and technically
Independent self-motivated worker but team aligned
Passionate about creating new things using software
Interested in delivering practical applications of Machine Learning
Hands-on person with good communication abilities both written and presenting to leadership
Ability or desire to work closely with DevOps on infrastructure and release planning

WE OFFER
Competitive compensation depends on experience and skills
Individual career path
Unlimited access to LinkedIn learning solutions
Sick leave and regular vacation
English classes with certified English teachers
Flexible work hours