Principal, Data Science Consulting - Remote, EPAM Systems, Mc Lean, VA


EPAM Systems -
N/A
Mc Lean, VA, US
N/A

Principal, Data Science Consulting - Remote

Job description

Are you passionate about the evolving landscape of AI technology, and its potential impacts on business, society, and the world?

EPAM is seeking an avid technologist and great communicator who enjoys complex multi-facetted problems that combine the technological, human, and organizational layers to support our Responsible AI and Security teams across different business verticals. If you thrive in an environment that requires a balance of uncompromising engineering rigor, system-level thinking, and real-world pragmatism, wed love to have a conversation.

As one of the worlds leading digital transformation service providers, we are expanding our Data Practice across the Americas to meet increasing client demand for our services. We are looking for people at the Senior Manager and Director level within the Data & Analytics + Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).

The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI-driven solutions, and play a highly visible leading role in the organization whilst partnering closely with multiple clients across various industries and our Data leadership teams globally

Req.#608686865

Responsibilities

Provide technical leadership and strategic expertise in ML and AI by driving the design, development, and implementation of ML/AI solutions for clients

Plan, execute, design, and deliver responsible AI systems and the corresponding measurement strategies that align the right solution with client needs

Connect across the organization to drive AI adoption in other verticals-envision new products, solutions, offerings, and other differentiators

Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them

Collaborate with data scientists and engineers, fostering confidence through your own depth of technical expertise to lead teams tactically as a peer and a mentor

Monitor the latest advancements within ML/AI emerging technologies, proactively recommending new approaches while understanding their impact within a complex regulatory environment

Perform as the liaison between business, legal, and technology stakeholders across EPAM and within our client engagements

Shape ML solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase

Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution

Engage executive/C-level client stakeholders to help them drive enterprise-wide agenda to maximize AI adoption

Support sales and pre-sales activities by assessing Data opportunities, responding to RFPs, and creating proposal presentations

Requirements

Extensive experience working in a leadership role within Data Analytics, Machine Learning & AI

Proven track record designing and implementing ML/AI solutions

Deep understanding of Machine Learning including deep learning, statistics fundamentals, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), privacy-preserving ML, and security fundamentals

Demonstrated experience driving multidisciplinary and geographically distributed teams to deliver AI products

Comfortable engaging and influencing senior stakeholders to secure funding or sell ML/AI projects

Ability to explain complex technical concepts to both technical and non-technical audiences

Proficient in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow

Excellent problem-solving skills and the ability to analyze complex business requirements and translate them into practical ML/AI solutions

Familiar with working within a highly regulated industry or in a technology-adjacent regulatory function

Masters degree in computer science, data science, statistics, or a related field

Benefits

Medical, Dental and Vision Insurance (Subsidized)

Health Savings Account

Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

Short-Term and Long-Term Disability (Company Provided)

Life and AD&D Insurance (Company Provided)

Employee Assistance Program

Unlimited access to LinkedIn learning solutions

Matched 401(k) Retirement Savings Plan

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)

Paid Holidays - nine (9) total per year

Legal Plan and Identity Theft Protection

Accident Insurance

Employee Discounts

Pet Insurance

Employee Stock Purchase Program

If otherwise eligible, participation in the discretionary annual bonus program

If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

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

Applications will be accepted on a rolling basis

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: $145k $240k. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.


Full-time 2024-06-30
N/A
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USD

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