Remote Amazon Data Science Jobs in Raleigh, NC (NOW HIRING)

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **

Are you looking to develop your Data Scientist career?

Do you enjoy coaching others to achieve high standards?

Join us in shaping a more just world.

About Us:

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

About the Role:

As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.

For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.

Responsibilities:

• Leading the development of advanced AI and machine learning models to solve complex business problems

• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions

• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs

• Analyzing large datasets to identify patterns and trends that can inform AI development

• Communicating findings and insights to stakeholders in a clear and concise manner

• Staying current with the latest AI and machine learning trends and technologies

• Mentoring junior data scientists and provide guidance on AI and machine learning best practices

• Driving best practices across our data science functions

• Setting strategy and team direction, with a clear vision for Data Science

• Working with product leaders to apply data science solutions.

• Evaluating and creating new frameworks and defining methodologies and governance

• Leading small- to medium-sized teams (direct or indirect)

• Setting a high-bar for model development

Requirements:

• Have substantial experience in a senior data scientist role

• Have experience in leading complex projects and customer relationships

• Have significant experience in managing larger Technical teams (direct or indirect)

• Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues

• Be a natural problem solver, able to take a lead in collaborating to resolve issues

• Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:

• PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

• 7-10+ years of experience in AI and machine learning

• Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests

• Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.

• Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.

• Experience with reinforcement learning, prompt engineering, hallucination mitigation

• Working understanding of the business risks associated with applying LLM in a business

• Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

• Strong coding skills in Python or another programming language

• Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders

• Strong problem-solving skills and the ability to think outside the box

Work in a way that works for you:

We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees

Working with Us:

LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.

Working for you:

We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Comprehensive, multi-carrier health plan benefits
- Disability insurance
- Dependent care and commuter spending accounts
- Life and accident insurance
- Retirement benefits (salary investment plan/employer stock purchase plan)
- Modern family benefits, including adoption and surrogacy

About our Team:

LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We're one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.

#AIFluency

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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