12 Data Scientists jobs in Cary

Xylem (XYL) is a leading global water technology company committed to developing innovative technology solutions to the world’s water challenges. The Company’s products and services move, treat, analyze, monitor and return water to the environment in public utility, industrial, residential and commercial building services settings. Xylem also provides a leading portfolio of smart metering, network technologies and advanced infrastructure analytics solutions for water, electric and gas utilities. The Company’s more than 16,500 employees bring broad applications expertise with a strong focus on identifying comprehensive, sustainable solutions. Headquartered in Rye Brook, New York with 2017 revenue of $4.7 billion, Xylem does business in more than 150 countries through a number of market-leading product brands. THE ROLE: Sensus, a Xylem brand seeks to hire a Data Scientist with a desire to join a team delivering Big Data applications in the Cloud. We’re focused on helping utility companies visualize and make use of the petabytes of data coming in from their smart meters so they can lower costs and reduce consumption. This is a market poised for explosive growth and this team is ready to take advantage of it. ESSENTIAL FUNCTIONS: Data curation Develop statistical modeling techniques for pattern recognition problems. Develop code in R, Python, Java, or other languages for statistical analysis, optimization, and simulation. Build models that maximize performance and accuracy. Strategic planning and project management. MINIMUM QUALIFICATIONS: MS Statistics, Machine Learning, Operations Research, Applied Math; or equivalent. 2 – 5 years of data science experience. Experience with statistical and mathematical software. Proven ability to develop system prototypes. SQL skills. Excellent oral and written communication skills. Strong documentation skills. Understanding of machine learning techniques and the ability to invent. Big data experience- Hadoop, Spark, Map-reduce, Hive, etc. Experience with Agile methodology or similar lean startup approach to building software. PREFERRED QUALIFICATIONS: Experience with time series or signal processing analytics. PHYSICAL DEMANDS: (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.) Light lifting (20-25 lbs.), office environment. Regularly required to sit or stand, reach, bend and move about the facility. WORK ENVIRONMENT: (The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.) Office: Standard office equipment; work usually performed in an office setting free from any disagreeable elements. Standard weekly job hours: 40 hours. EOE/FEMALES/MINORITIES/PROTECTED VETERANS/DISABLED #J-18808-Ljbffr

Join to apply for the Data Scientist role at TEKsystems Join to apply for the Data Scientist role at TEKsystems Get AI-powered advice on this job and more exclusive features. Top Skills' Details PLEASE REVIEW IN DETAILS AS CANDIDATES WILL NEED TO HAVE THE FOLLOWING SKILLS (NO EXCEPTIONS): 3-10+ years of experience in AI and machine learning, model building, evaluation, and fine-tuning. 2+ years of working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. UTILIZING RAG! Deep experience with RAG! Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. NLP Experience (Named Entity Recognition, Sentiment Analysis, Text Summarization) Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo Senior level experience deploying models in the Cloud (AWS) or Azure as secondary. Description TEKsystems is partnered with a software company in Raleigh that needs to hire a Senior Data Scientist for their flagship product, a leading global provider of information and analytics. Recently our client has focused on the general availability for U.S. customers, a generative AI solution designed to transform legal work. Our client delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary search technology, Shepard’s Citations functionality, and authoritative content. The Senior Data Scientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for LexisNexis in their global expansion. This candidate will assist with deploying ethical, powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model for each individual legal use case. This approach includes working with large language models like Anthropic’s Claude 2, hosted on Amazon Bedrock from Amazon Web Services (AWS), and OpenAI’s GPT-4 and ChatGPT, hosted on Microsoft Azure. Accountabilities Solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection. Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of news and financial data. Apply machine learning techniques for improving search algorithms. Drive best practices for NLP/Machine Learning pipelines. Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods and be able to quickly evaluate alternatives. Translate complex business requirements into actionable stories with reasonable time estimates. Work with product leaders to apply data science solutions. Strong coding skills in Python 7+ years Be a natural problem solver, able to take a lead in collaborating to resolve issues Proficiency in IDE debugging : VSCODE and PYCHARM Have communication skills 4+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, classification models, diagnostic testing of models Experience working directly and Transformer based architectures including BERT, RoBERTa, T5 etc. Nd familiarity with large language models and fine tuning Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM (LangChain) in a business Experience working with AWS, RAG, SageMaker, SQL Skills data science, nlp, indexing, semantic search, conversational search, langchain, Generative AI, Large language model, Sql, aws, algorithm, artificial intelligence, Retrieval augmented generation, fine-tuning, Python, Machine learning, cloud computing Top Skills Details data science, nlp, indexing, semantic search, conversational search, langchain, Generative AI, Large language model, Sql, aws, algorithm, artificial intelligence, Retrieval augmented generation, fine-tuning Additional Skills & Qualifications N/A Experience Level Expert Level Pay And Benefits The pay range for this position is $50.00 - $5.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits Available For This Temporary Role May Include The Following Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jun 25, 2025. About TEKsystems And TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at TEKsystems by 2x Get notified about new Data Scientist jobs in Cary, NC . Raleigh, NC $55,000.00 80,000.00 2 months ago Durham, NC 55,000.00- 80,000.00 2 months ago Chapel Hill, NC 55,000.00- 80,000.00 2 months ago Data Scientist, Data & AI Team (US Remote) Data Scientist – NLP & Real World Evidence (RWE) - Remote Raleigh, NC $9 ,000.00- 165,000.00 1 day ago Director, Data Scientist & Data Operations Associate Director, Data Scientist & Data Operations Associate Director, Data Scientist & Data Operations Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Software Engineer, AI Platform (Accelerator, Wheel to RPM)- AI Engineering Software Engineer I (Merchant Data Platform) Site Reliability Engineer - Core C++ Team Raleigh, NC 130,000.00- 210,000.00 3 days ago Raleigh, NC 120,000.00- 220,000.00 2 days ago Full Stack Software Engineer, Higharc Studio Raleigh, NC 135,000.00- 150,000.00 4 days ago Cary, NC 80,000.00- 100,000.00 2 days ago Python Software Engineer - Ubuntu Hardware Certification Team Software Engineer, Infrastructure (Experienced) Analytics Developer / Technical Analytics Engineer We’re unlocking community knowledge in a new way. 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Mandatory Data Scientist with experience on Palantir We are seeking a Palantir Data Scientist to develop, deploy, and optimize data-driven solutions using Palantir Foundry. The role involves data analysis, modeling, machine learning, and operational decision-making using Foundry's advanced analytics capabilities. Key Responsibilities: Build and optimize data pipelines, workflows, and ML models in Palantir Foundry. Leverage Code Workbook, Ontology, and Application Builder to drive insights. Develop predictive models, statistical analysis, and AI-driven solutions. Work with business teams, engineers, and analysts to transform data into actionable insights. Ensure data integrity, governance, and scalable AI solutions. Required Skills: 5+ years in Data Science, AI/ML, and Analytics; 2+ years in Palantir Foundry. Expertise in Python, SQL, Spark, and data visualization. Strong grasp of machine learning, statistical modeling, and feature engineering. Experience with cloud platforms (AWS, Azure, GCP) and big data tools. Excellent problem-solving and communication skills. Preferred: Palantir Foundry Certification (if available) Experience in ML Ops, Deep Learning, NLP, or Reinforcement Learning Industry exposure in Healthcare, Finance, or Manufacturing #J-18808-Ljbffr

Job Description: Pay Range: $60hr - $63hr Responsibilities: Lead the design and execution of advanced machine learning and causal inference models to measure and optimize omnichannel engagement strategies. Exercise independent judgment in methods, techniques, and evaluation criteria on data science projects, overseeing the end-to-end process from problem definition to model implementation. Work with large-scale healthcare datasets, including claims data, prescription data, digital engagement logs, and survey data, to derive insights on HCP behavior. Partner with commercial, marketing, and business development teams to translate data insights into strategic recommendations that enhance customer engagement. Act as a key data science representative in client engagements, effectively communicating insights, methodologies, and recommendations to both technical and non-technical stakeholders. Have broad analytics experience or innovative knowledge and use skills to contribute to achieving client objectives in creative and effective ways. Foster innovation by exploring and integrating emerging technologies and methodologies. Qualification Requirements: Master’s degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is preferred. Proficiency with programming languages like Python, R, and SQL. Experience applying causal inference techniques (e.g., causal impact analysis, uplift modeling, DoWhy) to marketing and engagement analytics. Strong background in predictive modeling, classification, segmentation, and optimization. Familiarity with healthcare and commercial biopharma data sources such as claims data, HCP interaction logs, and prescription data. Experience engaging with clients and strong ability to bridge the gap between technical and business audiences. Ability to translate complex data science concepts into strategic business insights for non-technical stakeholders. Experience deploying models in cloud-based environments (AWS, Azure, or GCP) is a plus. Strong problem-solving skills, intellectual curiosity, and a proactive approach to driving impact through data science. #J-18808-Ljbffr

ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do You will drive the core functions of a personalization engine that provides tailored recommendations to our players in real time. You will partner closely with machine learning engineers, product engineers, product managers, and analytics teams to deliver high quality ML models from R&D through to deployment and continuous experimentation and iteration. You will use your expertise in building and serving robust ML models in real time in a distributed big data environment in both batch and streaming workloads. You will ensure strong experimentation practices and model promotion strategies through rigorous automated monitoring and measurements and heavily parallelized training and prediction pipelines. In this role, you will Develop machine learning models to surface the most appealing & relevant content to players from a vast library of Fortnite islands Independently transform raw data into scalable production ML models and partner with backend service teams to integrate those models into Fortnite Continuously evaluate the effectiveness of models and iterate constantly to maximize long-term ecosystem growth Work with product, and engineering teams to quickly and rigorously design, test, and learn from experiments to improve the product What we're looking for 5+ years of industry or relevant experience, with proven interest in and knowledge of live service video games Experience writing efficient and scalable ML Pipelines over billions of rows in a distributed computing environment with PySpark batch and streaming Expert in Python development practices including version control (GitHub), and comfortable working in a CI/CD environment Thoughtful conceptual data modeling and data architecture practices designed for feature stores and model performance monitoring Experience working with development teams to instrument data and design event-level metrics to build model features Familiarity with supporting operational processes including: code version control (Github or similar), orchestration (Airflow) Passion for the gaming industry and optimizing experiences through automation and highly performant models EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. #J-18808-Ljbffr

Mandatory Skills: Snowflake, Python, R, SQL The Technology Solutions business unit is the client's Health accelerator for life sciences technology and innovation. Our work supports getting meaningful new medicines to patients faster with greater positive impact. Technology Solutions homegrown products and applications, commercial off-the-shelf, and software-as-a-service products ensure all employees work in a secure environment with clean data and deliver insights as part of our integrated strategy for customers. The Sr Data Scientist will work on data science initiatives and guide teams through the development of models and analytical frameworks. This role is responsible for collecting, storing, and interpreting data in a meaningful and clear way for our customers. JOB RESPONSIBILITIES Drive strategic data science initiatives to address key business challenges and opportunities. Exercise independent judgment in methods, techniques, and evaluation criteria on data science projects, overseeing the end-to-end process from problem definition to model implementation. Interact with product teams to identify questions and issues for data analysis and experiments. Design, develop, and implement algorithms and processes to consolidate and analyze unstructured, diverse "big data” sources to generate actionable insights and solutions for client services and product enhancement. Influence and set technical standards and best practices across the data science team. Have broad analytics experience or innovative knowledge and use skills to contribute to achieving company objectives in creative and effective ways. Foster innovation by exploring and integrating emerging technologies and methodologies. Communicate complex technical concepts and results to leaders and non-technical stakeholders. Create formal networks involving coordination among groups. QUALIFICATION REQUIREMENTS: Master's degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is preferred. Proficiency with programming languages like Python, R, and SQL. Detailed understanding of how data science models are designed and developed. Advanced expertise in machine learning is preferred. Ability to independently execute and deliver high-impact data science projects. Must be organized, detail oriented, and work effectively in a fast-paced environment. Strong data analysis and data modelling skills with good knowledge of statistics. Strong collaboration skills with experience working across multiple functions. Experience with large-scale data infrastructure and deployment in cloud environments (preferred). Experience with advanced data engineering tools and frameworks (preferred). Experience with strategic planning and influencing business strategy via data science (preferred). #J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features. JOB SUMMARY The Technology Solutions business unit is the customer Health accelerator for life sciences technology and innovation. Our work supports getting meaningful new medicines to patients faster with greater positive impact. Technology Solutions homegrown products and applications, commercial off-the-shelf, and software-as-a-service products ensure all employees work in a secure environment with clean data and deliver insights as part of our integrated strategy for customers. As a Senior Data Scientist, you will play a critical role in designing and implementing analytical frameworks, developing predictive and prescriptive models, and translating data into actionable recommendations. You will work with diverse datasets and collaborate with cross-functional teams to influence strategic decisions through the application of data science methodologies. In this role, you will also engage directly with clients, translating complex analytical concepts into clear business insights and ensuring that data-driven solutions align with their strategic objectives. JOB RESPONSIBILITIES Lead the design and execution of advanced machine learning and causal inference models to measure and optimize omnichannel engagement strategies. Exercise independent judgment in methods, techniques, and evaluation criteria on data science projects, overseeing the end-to-end process from problem definition to model implementation. Work with large-scale healthcare datasets, including claims data, prescription data, digital engagement logs, and survey data, to derive insights on HCP behavior. Partner with commercial, marketing, and business development teams to translate data insights into strategic recommendations that enhance customer engagement. Act as a key data science representative in client engagements, effectively communicating insights, methodologies, and recommendations to both technical and non-technical stakeholders. Have broad analytics experience or innovative knowledge and use skills to contribute to achieving client objectives in creative and effective ways. Foster innovation by exploring and integrating emerging technologies and methodologies. QUALIFICATION REQUIREMENTS Master's degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is preferred. Proficiency with programming languages like Python, R, and SQL. Experience applying causal inference techniques (e.g., causal impact analysis, uplift modeling, DoWhy) to marketing and engagement analytics. Strong background in predictive modeling, classification, segmentation, and optimization. Familiarity with healthcare and commercial biopharma data sources such as claims data, HCP interaction logs, and prescription data. Experience engaging with clients and strong ability to bridge the gap between technical and business audiences. Ability to translate complex data science concepts into strategic business insights for non-technical stakeholders. Experience deploying models in cloud-based environments (AWS, Azure, or GCP) is a plus. Strong problem-solving skills, intellectual curiosity, and a proactive approach to driving impact through data science. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Shrive Technologies by 2x Get notified about new Senior Data Scientist jobs in Morrisville, NC . Data Scientist - Exp in Medical Devices (3-5 years of experience) Urgent Need Raleigh, NC $120,000 - $150,000 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr