Data Science Consultant - Remote

Description
EPAM Data Science &AI practice focuses on unlocking business value for organizations through end-to-end AI/ML solutions and platforms. From advanced analytics, marketing intelligence, NLP to Responsible AI and MLOps, EPAM delivered hundreds of solutions to production.
Here you will become a part of a multi-faceted team that delivers the most creative and cutting-edge solutions and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
You are curious, persistent, responsible, and creative. You enjoy living by the code of your craft and developing solutions solving for complex business problems. You are a true techie at heart. If this sounds like you, this could be the perfect opportunity to join EPAM as a Data Science Consultant!
Req.#279600169
What You’ll Do

• Drive end-to-end Data Science and AI projects/programs
• Work with EPAM’s clients and EPAM teams to shape-up AI/ML driven solutions’ technology vision
• Take active part in growing EPAM team’s capacity and capability, including building new competencies, selecting and mentoring new team members
• Work on EPAM’s Data Science and AI offerings

Requirements

• Understanding of Data Science engineering excellence and delivery processes
• Consulting experience
• Excellent grasp of technology positioning for business (ideally with expertise in at least one of the following: HC/LS, Financial Services, Media or Telecom, track record of driving business value using DataScience and MLOps
• 5+ years’ experience as Data Science Lead, Machine Learning Engineering Lead or similar roles
• Machine Learning Engineering/ Production delivery experience, MLOps. Experience working with one or more major cloud providers
• Hands-on Data Science experience, focused experience in one of the following domains: computer vision, NLP, recommender systems, time series analytics
• Knowledge of one or more of the following technologies: Python, ML/AI, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (PlSql, HQL, Mongo)
• Experience in Supervised and Unsupervised Learning

Benefits

• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Accident Insurance
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Employee Discounts
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
• Legal Plan and Identity Theft Protection
• Matched 401(k) Retirement Savings Plan
• Short-Term and Long-Term Disability (Company Provided)
• Paid Holidays - nine (9) total per year
• Unlimited access to LinkedIn learning solutions
• If otherwise eligible, participation in the discretionary annual bonus program
• Pet Insurance
• Employee Stock Purchase Program
• Health Savings Account
• Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
• Medical, Dental and Vision Insurance (Subsidized)

About EPAM

• EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

Additional

• This position operates in a remote capacity, but you must live within driving distance to an EPAM office. Your recruiter will discuss specific details about work location during the initial interview process
• This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $119k - $190k In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position

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