Job DescriptionSummary of Duties:Responsible for collaborating with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple disparate resources. Builds high-end analytic models, utilizing supervised and unsupervised learning models, to support decision makers with data driven insights that address immediate business problems and objectives. Creates informative visualizations that intuitively display large amounts of data and/or complex relationships. Translates data analytics into coherent reports and presentations for internal and external customer with varying degrees of technical knowledge. Routinely uses anonymized or encrypted data. Works with Customers on their SAS Modernization journey. Performs Viya 4 adoption by migrating analytic assets from SAS legacy software to run on Viyas cloud-native architecture. Serve as Subject Matter Expert on Computer Vision/Image Analytics, Natural Language Processing, Open Source Integration with SAS. Deliver Global Advisory services in the Americas, including client workshops that involve multiple stakeholders, analytic maturity assessments, or other consultative activities aimed at helping a client develop a roadmap for digital and analytic transformation. Prepare and present end-to-end analytic lifecycle demonstrations. Leverage big data from disparate sources to create data-driven insights and develop a governed ModelOps approach for customers to operationalize and deploy analytical models. Lead Innovation Labs with clients, by developing new analytic use cases that can be addressed using Viya, working directly with customers on requirements. Position self as thought leader through writing articles, papers or blogs on analytic topics. May work remotely pursuant to SAS Flexible Work Program.Qualifications:Position requires a Masters degree in Applied Mathematics, Statistics, Computer Science, Engineering or a related field plus three (3) years of experience in the job offered or three (3) years of experience in a related occupation.Position requires experience analyzing data and building analytical models. Requires strong knowledge of SAS Viya. Requires strong knowledge of open sources packages SASPy, python-sasctl and python-swat. Requires extensive experience with external customer facing presentations, meetings, and demonstrations. Requires experience with predictive analytics, machine learning, knowledge discovery in databases, optimization, statistical theory, experimentation, and time series analysis. Requires the ability to manipulate voluminous data with different degree of structuring across disparate sources to generate and communicate actionable insights for internal or external parties. Requires knowledge of applied statistics, probability, data modeling techniques, predictive modeling techniques, and in-sample and out-of-sample model assessment. Requires strong aptitude with at least two operating systems supported by SAS software, such as Unix or Windows. Requires the ability to relate statistical concepts and applications to statistical and non-statistical users. Requires business domain expertise in at least one industry or business area. May work remotely pursuant to SAS Flexible Work Program.Additional Information:To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity/Affirmative Action employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Know Your Rights. Also view the Pay Transparency notice.Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.SAS only sends emails from verified sas.com email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contactRecruitingsupport@sas.com.#LC#J-18808-Ljbffrby Jobble

Senior Data Scientist NLP and GenAI Country United States Working Schedule Full-Time Work Arrangement Virtual Commutable Distance Required No Relocation Assistance Available No Posted Date 14-Mar-2024 Job ID 1688 Description and Requirements <ul> <li>Virtual within a commutable distance of Cary NC or New York, NY office location.</li> </ul> The Opportunity The Senior Data Scientist NLP and GenAI role involves designing and implementing NLP algorithms, small and/or large language models to understand, interpret, and analyze natural language. This person will preprocess and clean textual data, select relevant features, and train models to perform tasks such as sentiment analysis, named entity recognition, topic modeling, information generation, and language model fine-tuning. This is an exciting opportunity to collaborate with cross-functional teams to address specific business challenges and contribute to decision making processes. The Senior Data Scientist NLP and GenAI should stay informed about the latest advancements in NLP research and apply innovative techniques to enhance the performance of language models. Additionally, ensuring the ethical use of NLP technologies, addressing biases, and promoting transparency in model outputs are integral aspects of their responsibilities. Key Responsibilities <ul> <li> Lead advanced analytics, machine learning, and research project teams. </li> <li> Pilot new approaches to optimize existing business processes. </li> <li> Build or manage more complex advanced level statistical and machine learning models. </li> <li> Work independently with executives and project stakeholders to gain business understanding, define analytics opportunities, and present project insights. </li> <li> Work on tasks across the data science lifecycle by leading large and complex interdepartmental project teams. </li> </ul> Required Qualifications <ul> <li> Experience working on natural language processing. </li> <li> Advanced knowledge of machine learning & feature engineering techniques. </li> <li> Expert knowledge of evolving technologies for development, implementation, and deployment. </li> </ul> Additional Skills <ul> <li> Suggested 5 years of experience in a relevant field. </li> <li> BS/MS in computer science, math, statistics, operations research, social sciences, or related quantitative field preferred. </li> <li> Advanced leadership, communication, and interpersonal skills. </li> <li> Advanced knowledge of Generative AI and experience on large language models. </li> <li> Advanced knowledge of firm products and insurance industry. </li> <li> Problem solver: Remove barriers for the team so they can focus on their tasks at hand. </li> <li> Agile learner </li> </ul> The wage range for applicants for this position is $110,00 to $140,00. This role is also eligible for annual short-term incentive compensation. MetLife offers a comprehensive benefits program, including healthcare benefits, life insurance, retirement benefits, parental leave, legal plan services and paid time off. All incentives and benefits are subject to the applicable plan terms. Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. <script id="detrack" src="https://d2e48ltfsb5exy.cloudfront.net/p/t.js?i=0,1" data-g="d6deb170519f43a394bd797dc9a911f01624"></script>

Data Scientist Jobs in Cary, NC

Data Scientist Cloud Data Analytics Team
April 22, 2024

Senior Data Scientist
April 21, 2024

Senior Data Scientist Nlp And Genai
April 20, 2024

Data Scientist 1 Cary Nc
April 7, 2024

Data Scientist 1 Cary Nc
April 7, 2024

Data Scientist
April 2, 2024

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Data Scientist Jobs in Cary, NC

Data Scientist Cloud Data Analytics TeamApril 22, 2024

Senior Data ScientistApril 21, 2024

Senior Data Scientist Nlp And GenaiApril 20, 2024

Data Scientist 1 Cary NcApril 7, 2024

Data Scientist 1 Cary NcApril 7, 2024

Data ScientistApril 2, 2024

Quick filters

Top companies

Data Scientist Cloud Data Analytics Team
April 22, 2024

Senior Data Scientist
April 21, 2024

Senior Data Scientist Nlp And Genai
April 20, 2024

Data Scientist 1 Cary Nc
April 7, 2024

Data Scientist 1 Cary Nc
April 7, 2024

Data Scientist
April 2, 2024