Data scientist jobs in North Carolina

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

Must Have Technical/Functional Skills Strong Python and Machine Learning skillset An experienced Data Scientist to lead end-to-end AI/ML solution design and implementation across a range of business domains in financial services. You will be responsible for architecting robust, scalable, and secure data science solutions that drive innovation and competitive advantage in the BFSI sector. This includes selecting appropriate technologies, defining solution blueprints, ensuring production readiness, and mentoring cross-functional teams. You will work closely with stakeholders to identify high-value use cases and ensure seamless integration of models into business applications. Your deep expertise in machine learning, cloud-native architectures, MLOps practices, and financial domain knowledge will be essential to influence strategy and deliver transformative business impact. * Proficient in Python, scikit-learn, TensorFlow, PyTorch, HuggingFace. * Strong BFSI domain knowledge. * Experience with NLP, LLMs (GPT), and deep learning. * Hands-on with MLOps pipelines and tools. * Experience with graph analytics tools (Neo4j, TigerGraph, NetworkX). Roles & Responsibilities * Architect and drive the design, development, and deployment of scalable ML/AI solutions. * Lead data science teams through complete project lifecycles - from ideation to production. * Define standards, best practices, and governance for AI/ML solutioning and model management. * Collaborate with data engineering, MLOps, product, and business teams. * Oversee integration of data science models into production systems. * Evaluate and recommend ML tools, frameworks, and cloud-native solutions. * Guide feature engineering, data strategy, and feature store design. * Promote innovation with generative AI, reinforcement learning, and graph-based learning. * Knowledge of Spark, PySpark, Scala. * Experience leading CoEs or data science accelerators. * Open-source contributions or published research. TCS Employee Benefits Summary: * Discretionary Annual Incentive. * Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. * Family Support: Maternal & Parental Leaves. * Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. * Time Off: Vacation, Time Off, Sick Leave & Holidays. * Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range : $100,000-$130,000 a year

As a Senior Data Scientist II, you will leverage your advanced analytical skills to extract insights from complex datasets. Your expertise will drive data-driven decision-making and contribute to the development of innovative solutions. You will collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis. · Leading the development of advanced AI and machine learning models to solve complex business problem · 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 · Building models, performing analytics, and creating AI features · Mentoring junior data scientists and provide guidance on AI and machine learning best practices Working with product leaders to apply data science solutions We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 3-5+ years of professional experience (POST GRAD) as a delivery-focused Data Scientist or ML Engineer Understand how LLMs integrate to complex systems Deep understanding of RAG Strong in Python Expeirence creating AI Agents and Agentic Workflows Masters and PHD

Job Description Note: Only on W2 Must be local to either Cary, NC or Irving, TX Client: Caterpillar Education: • Bachelors or Masters are required Qualifications: • 5+ years of experience are required Top Skills: • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow) • Strong foundation in statistics, probability, and machine learning • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Duties: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges

NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Data Scientist to join our growing team. Job title: AI Data Scientist Location: Charlotte, NC (Hybrid) Job description/ Role Overview We are looking for an experienced Data Scientist who can design develop and deploy advanced AIML models and data driven solutions. The ideal candidate will have strong expertise in machine learning deep learning LLMs and cloud based data platforms along with handson experience in data engineering vector databases and endtoend deployment. Key Responsibilities Model Development Optimization Build and finetune MLDL models including LLMs for NLP tasks Implement RAG Retrieval Augmented Generation and Agentic AI workflows for enterprise use cases Optimize models for performance scalability and cost efficiency Data Engineering Management Design and maintain data pipelines for structured and unstructured data Work with vector databases eg Pinecone Milvus Weaviate for semantic search and embeddings Ensure data quality governance and compliance Deployment MLOps Deploy models using Docker Kubernetes and cloudnative services AWS Azure GCP Implement CICD pipelines for ML workflows and automated retraining Monitor model performance and drift using MLOps tools Collaboration Communication Work closely with architects engineers and business stakeholders to translate requirements into solutions Present insights and recommendations using data visualization tools Required Technical Skills Programming Python Pandas NumPy Scikitlearn PyTorch TensorFlow SQL AIML Frameworks LangChain Hugging Face LlamaIndex Cloud Platforms AWS SageMaker Azure ML GCP Vertex AI Databases SQLNoSQL Vector DBs Pinecone Milvus Weaviate Deployment Docker Kubernetes Helm MLOps Tools MLflow Kubeflow Airflow Visualization Power BI Tableau Matplotlib Plotly

Temp Data Scientist - Boston, MA or NC, NH, RI, TX, MA, or CO (18 month contract- probable extension or permanent conversion) Notes: Master's Degree Required Python development to build time series models Run SQL queries Linux OS administration Any web development experience preferred. Experience working with Artificial Intelligence, Machine learning algorithms, neural networks, decision trees, modeling, Cloud Machine Learning, time series analysis and robotics process automation. Description: We are seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate's key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of customers. Absolutely critical is the associate's ability to carry an initiative from idea through to execution. 5+ years' experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred Natural programmer, and confirmed industry experience with statistics and data modeling Experience with one or more of the following tools/frameworks - python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc Education- At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc. Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation We are looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.

Are you looking for a Challenge? Looking for an innovative organization and the opportunity to learn and grow professionally? We can help! We are seeking a Data Scientist / Manager to support the United States Department of Agriculture (USDA) Forest Service in North Carolina. I've never heard of Terrestris. What do you do? At Terrestris, we leverage technology to create better mission outcomes through better human performance. We form strong client and team relationships through transparency and strive to create an environment where our team can let their excellence shine through. By finding, developing, and incorporating new ideas, we provide memorable services. Rooted in the USMC values of honor, courage, and commitment, Terrestris seeks to deliver extraordinary value to the American people by helping the Government become more efficient and effective. So, what will the Data Scientist / Manager at Terrestris do? As the Data Scientist / Manager you will be responsible for a wide range of duties including analytics; data input, retrieval and presentation, information gathering and documentation, and implementation of prescribed processes in support of organizational missions. You will further be responsible for performing analytical and evaluative work involving mathematics, statistics, and business knowledge to address workforce or mission issues and generate data-driven solutions in the analysis of FS program operations and decision alternatives. Finally, you will develop models for evaluation and assess data validity and reliability to aid stakeholders in understanding and utilizing analytical reports. What does a typical day look like for the Data Scientist / Manager? You will: Consult with cross-functional teams on the design and conduct of projects or studies to evaluate and resolve complex problems. Advise on the potential of data to provide new insights into the agency's mission. Identify, collect, cleanse, and analyze structured and unstructured data used to support assigned projects or program(s). Explore patterns, correlations, and causations from various systems and datasets to provide a synopsis of emerging trends, challenges, and recommendations for change. Apply data visualization techniques, such as dashboards, scorecards, and graphs, to create solutions that enable enhanced agency performance and decision making. Participate in the preparation and presentation of project briefings to communicate results and recommendations for operational improvements. Manage, input, extract and interpret data using Forest Service asset management software. Perform various routine administrative tasks and interface with multiple resource groups to maintain complete and accurate databases of asset portfolios in accordance with USDA directives. What qualifications do you look for? You might be the professional we're looking for if you have: Authorization to work in the U.S. permanently without sponsorship. A Bachelor's Degree with (2) years of relevant experience OR a Master's degree and (1) year of relevant experience OR (10) years of relevant experience, in lieu of an education credential (Relevant Experience is defined as work involving data analytics; data input, retrieval and visualization; programming and automation using Python, R, or similar; and/or applying statistical techniques and machine learning.). We are extra impressed by folks with: Familiarity with USDA Forest Service missions, data systems, and land management policies. Knowledge of federal data governance standards (e.g., FAIR data principles, OMB policies). What kind of benefits does Terrestris Offer? We offer outstanding benefits including health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. Terrestris is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. Applicants must be authorized to work in the U.S. DILBERT © 2018 Scott Adams. Used By permission of ANDREWS MCMEEL SYNDICATION. All rights reserved.

Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs Bridge scientific research and software engineering, applying expertise in both domains Collaborate with engineering teams to lead the design and delivery of GenAI products Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications Integrate GenAI solutions with enterprise platforms using API-based methods Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Align ML problem definition with business objectives Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics Ten years of experience in an individual contributor role in ML engineering Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Experience integrating GenAI solutions with enterprise platforms via standardized API patterns Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Excellent grasp of computer science fundamentals and SDLC best practices Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed *** Relocation assistance is not available for this role.

Our client, a top-tier Management Consulting firm, is seeking a highly skilled Applied AI Data Scientist for a top tier US Bank. Responsibilities and Requirements: Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities Prototype quickly, iterate efficiently, and help evolve data science best practices across the team Solid experience in statistical modeling, clustering techniques, and probability-based analysis Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical) Working knowledge of ML Ops basics, including experiment tracking and key model metrics Proficiency in Python and common data science/AI libraries Strong communication skills and the ability to work collaboratively in fast-paced, applied AI environments

Labcorp is hiring a Senior Data Scientist. This person will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, data science, artificial intelligence, software engineering / architecture to recognize patterns, identify opportunities and make valuable discoveries. Use a flexible, analytical approach to design, develop, deploy, and evaluate predictive models. Generate and test hypotheses. Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets, with an expanded focus on Generative AI applications. Apply knowledge of statistics, data modeling, data sciences, and artificial intelligence to recognize patterns, identify opportunities, and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate both traditional predictive models and generative AI systems. Generate and test hypotheses across various modeling paradigms. Applicants who live within 35 miles of either the Burlington, NC or Durham, NC location will follow a hybrid schedule. This schedule includes a minimum of three in office days per week at an assigned location, either Burlington or Durham, supporting both collaboration and flexibility. RESPONSIBILITIES Interpret data and present insights through rich and intuitive visualizations that tell compelling stories. Develop novel ways of integrating, mining, and visualizing diverse, high-dimensional, and poorly curated data sets. Explore and implement generative AI techniques where appropriate to enhance data analysis capabilities and create new solutions. Develop and deliver presentations to communicate technical ideas and analytical findings to non-technical partners and senior leadership. Build underlying software infrastructure to better manage, integrate, and mine data, incorporating both traditional and generative AI approaches. Work closely with engineering teams and participate in the full development cycle from product inception and research to production deployment. Write production quality code while implementing both established methods and innovative AI solutions. REQUIREMENTS Knowledge, Skills & Abilities: Experience in artificial intelligence and statistical learning. Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods and natural language processing. Experience with multiple deep learning techniques such as CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn. Master of evaluation techniques for supervised and unsupervised techniques. Knows to evaluate the quality of data and determine gaps in data or assumptions. Proficiency with Python. Can develop meaningful python code using objective oriented programming and functional programming. Writes tests for code. Can debug errors quickly. Strong data visualization skills. Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, Tensorflow. Experience with rational and non-structure databases is highly desirable. Experience using cloud technologies such as AWS with tools such as S3, Lambda, Athena, API Gateway, SageMaker. Strong foundation in data analysis and statistical learning. Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications. Experience with statistical methodologies and machine learning techniques including neural networks, graphical models, ensemble methods, and natural language processing. Knowledge of generative AI approaches such as large language models, diffusion models, or GANs is desirable. Proficiency with Python and R. Strong data visualization skills. Familiarity with machine learning libraries such as PyTorch, TensorFlow, and scikit-learn. Programming experience in Java, Python, or Perl with knowledge of relational and non-structured databases. Technical proficiency and demonstrated success in scientific creativity, collaboration, and independent thought. Ability to translate research concepts into practical solutions and prototypes. Comfortable working with both technical and non-technical staff. Strong project management skills with the ability to measure success metrics. Leadership experience in technical discussions with senior stakeholders. Must have ability to communicate effectively. Preferences: Candidates in the Raleigh area are preferred so they can be able to work onsite when needed. Candidates with a healthcare industry background are preferred. Physical Demands and Environmental Conditions: Regularly works with a computer for approximately 6-8 hours a day. Must be able to read and understand scientific and complex directions. Technical Proficiencies: Languages: Python , R, SQL, Excel, Java, JavaScript, Spark (Pyspark) Packages: Scikit-learn, Pandas, NumPy, SciPy, TensorFlow, PyTorch, SpaCy, Hugging Face Transformers, Snorkel, H2O, Spark MLlib, Matplotlib, Seaborn, Statsmodels Cloud: AWS (S3, Athena, Glue, EC2, SageMaker, Lambda, etc.), or equivalent cloud platforms Technologies: Git, Jira, Docker Techniques: Both traditional ML (Random Forest, XGBoost, clustering, etc.) and generative approaches (transformer models, diffusion models, GANs) as appropriate for the problem at hand, Machine learning and deep learning fundamentals, Natural language processing and understanding, Computer vision and image analysis, Exploratory data analysis and feature engineering, A/B testing and experimental design, Time series forecasting and anomaly detection, MLOps and model deployment practices, Ethical AI and responsible model development, Experience in Clinical data preferred EDUCATION Advance degree is required in Computer Science, Engineering, Statistics, Math or related field. Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications. Master with at least 4 years' experience or Ph.D. with 2 years of experience in a Data science setting. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities Review, prepare and/or certify client projects and ensure accurate client deliverables including: - Actuarial valuations and reports - Benefit statements - Plan documents, amendments, employee communications (SPDs, etc.) - Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) - IRS determination filings and PBGC (Form 500 series) termination submissions - ASC 715/960 - Perform and review combined plan non-discrimination testing Answer technical questions posed by staff Research the Internal Revenue Code and other technical resources to resolve client issues Provide technical training for staff Provide back up to other teams as necessary Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. Assist with other tasks and projects as assigned Supervision N/A Section 3: Experience, Skills, Knowledge Requirements Bachelor's degree in actuarial science, math or math related field Enrolled Actuary designation with 5 years industry experience Advanced understanding of: - Pension law - Plan documents and IRS favorable determination letters - Actuarial valuations and software systems Excellent technical/analytical skills Ability to research technical issues Ability to explain technical issues to all levels of associates Good verbal and written communication skills Demonstrated expertise with Microsoft Office, particularly Excel applications Demonstrated expertise with industry recognized pension valuation software Detail and accuracy oriented Good time management skills Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

Artificial Intelligence(GenAI)/ML + Data science Must Have Technical/Functional Skills Primary: Artificial intelligence/ML Secondary: Data science, Python, NLP, Agile tools Experience: 7 to 10+ Roles & Responsibilities ⦁ Experience with NLP, deep learning, or time series analysis. ⦁ Experience deploying models to production environments. ⦁ Knowledge of regulatory requirements and compliance in banking and finance. ⦁ Familiarity with MLOps practices and tools. ⦁ Experience with Agile methodology and tools (JIRA or Rally) ⦁ Proven experience as a Data Scientist in Banking or a similar domain ⦁ Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). ⦁ Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering. ⦁ Strong knowledge of statistics, machine learning, and data mining techniques. ⦁ Experience with data visualization tools (e.g., Tableau, Power BI). ⦁ Experience with Big Data Platforms (Hadoop). ⦁ Familiarity with SQL and working with relational databases. ⦁ Excellent problem-solving, communication, and collaboration skills. ⦁ Experience with cloud platforms (AWS, Azure, or GCP) is a plus. ⦁ Analyze large financial datasets to extract insights and support business decisions. ⦁ Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). ⦁ Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. ⦁ Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. ⦁ Communicate findings and recommendations through reports, dashboards, and presentations. ⦁ Work with data engineers to ensure data quality and pipeline reliability. Salary Range- $95,000-$120,000 a year

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Job DescriptionDPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects.Responsibilities Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 7+ years of experience in data science roles within AEC, product or technology organizations. At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). Solid understanding of statistical methods, predictive modeling, and optimization techniques. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Proven experience designing and interpreting experiments and making statistically sound recommendations. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Ability to build relationships with diverse stakeholders and cultivate strong partnerships. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. Hands-on experience with Generative AI tools and libraries. Background in experimentation infrastructure or human-AI interaction systems. Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities * Review, prepare and/or certify client projects and ensure accurate client deliverables including: * Actuarial valuations and reports * Benefit statements * Plan documents, amendments, employee communications (SPDs, etc.) * Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) * IRS determination filings and PBGC (Form 500 series) termination submissions * ASC 715/960 * Perform and review combined plan non-discrimination testing * Answer technical questions posed by staff * Research the Internal Revenue Code and other technical resources to resolve client issues * Provide technical training for staff * Provide back up to other teams as necessary * Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. * Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. * Assist with other tasks and projects as assigned Supervision * N/A Section 3: Experience, Skills, Knowledge Requirements * Bachelor's degree in actuarial science, math or math related field * Enrolled Actuary designation with 5 years industry experience * Advanced understanding of: * Pension law * Plan documents and IRS favorable determination letters * Actuarial valuations and software systems * Excellent technical/analytical skills * Ability to research technical issues * Ability to explain technical issues to all levels of associates * Good verbal and written communication skills * Demonstrated expertise with Microsoft Office, particularly Excel applications * Demonstrated expertise with industry recognized pension valuation software * Detail and accuracy oriented * Good time management skills * Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").