Data scientist jobs in Rocky Mount, NC

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 (******************************************************************************************************* . 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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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

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

Full-time Description Company: Predictant LLC Predictant is an innovative start up focused on using AI to accurately measure tension in large industrial bolts (currently focused on the Wind Turbine industry). Using our patented method, and patent pending hardware, coupled with advanced AI models, Predictant reduces the maintenance and inspection time on large structures by up to 90% vs. traditional methods. Predictant has recently obtained critical Wind Energy certifications and is now demonstrating the technology to a select list of industry leading OEMs and maintenance companies while preparing for strong growth next year. Predictant is part of the Invica Group, a London based company that maintains a worldwide portfolio of companies focused on sustainability. This role applies specifically to the development of the AI model built from the ultrasonic bi-wave data received from half a million, and increasing, bolt measurements. This role reports to the Director of Product Development who created the patents for the technology and oversees all product, hardware, and software development. Applicants should expect a fast-paced, hard working environment and the rewards of working with a small and growing company. Data Scientist II identifies trends, patterns, and anomalies in datasets by performing extensive statistical and data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, conduct analysis, and develop databases. The individual should effectively utilize (and maintain) multiple structured and non-structured databases to design, develop, and implement the most valuable data-driven solutions for the organization. Due to the central role of Machine Learning (ML) in Predictant's mission, it is essential for a Data Scientist II to possess a solid comprehension of ML models, including classification, regression, and clustering. The person should be able to apply ML and Artificial Intelligence (AI) to tackle both current and novel issues in the domains of Non-destructive Testing (NDT). In addition, proficiency in feature engineering is a must for this role, as feature engineering is a crucial step in the ML pipelines, and it heavily contributes to the success of ML-based applications for NDT. The individual in this role will be responsible for rapidly testing new ideas and concepts, debugging and optimizing existing models. This role involves collaborating with team members and discussing ideas and innovative solutions for improving existing processes. Additionally, the person should be an excellent team player, always seeking to assist team members in achieving their objectives of developing exceptional data products. Requirements What You'll Do Analyze large-scale ultrasonic and sensor datasets to identify trends and anomalies Perform feature engineering, preprocessing, and EDA Develop, validate, and optimize supervised & unsupervised ML/DL models Build deep learning pipelines using Python and modern DL frameworks (TensorFlow/Keras) Collaborate with engineering and product teams on new ideas, experiments, and model improvements Communicate insights to both technical and non-technical stakeholders What We're Looking For 2-4 years of experience in Data Science or ML Engineering Bachelor's or Master's in Engineering, Data Science, CS, Math, Physics, or similar Strong Python skills and deep-learning experience for Computer Vision Experience with data preprocessing, feature engineering, and model development Familiarity with sensor/ultrasonic data, signal processing, or audio/time-series analysis (preferred) Experience with Azure (pipelines, databases) is a plus Strong communication, attention to detail, and ability to work in a fast-paced startup environment Must be able to work onsite in Raleigh 5 days/week Preferred Local candidates in the Raleigh-Durham/RTP area U.S. citizens, permanent residents, or current H-1B holders who do not require new visa sponsorship

Data Scientist - Onsite Contract Clearance Requirements: Eligible for sensitive clearance; must pass drug screening, criminal history, and credit check. Contract We are seeking an experienced Data Scientist to drive actionable insights through advanced analytics and data modeling. This role involves working onsite in Raleigh, NC, to analyze complex datasets, identify business trends, and develop data-driven solutions that optimize organizational performance. The ideal candidate will have deep expertise in data analysis, modeling, visualization, and the ability to translate findings into clear business recommendations. Key Responsibilities: * Data Analysis & Visualization: * Develop rapid analysis scripts, visualization prototypes, and interactive dashboards * Prepare analysis reports, presentations, and project documentation * Ensure deliverables meet business needs with minimal training required * Modeling & Optimization: * Design and implement mathematical models and optimization solutions * Develop source code, scripting, and translational documentation for analytics projects * Present proposals and project results to stakeholders Qualifications & Skills: * Minimum 13 years of relevant experience with a degree (or 17 years without a degree) in Data Science, Statistics, Experimental Psychology, or a related field * Proficiency in Python, R, and SQL * Strong analytical and statistical modeling skills * Excellent written and verbal communication skills for diverse stakeholders * Proven ability to work across industries and adapt quickly to complex business environments * Familiarity with big data technologies and database development is a plus * Must be able to work onsite in Raleigh, NC Additional Requirements: * Pass client-mandated clearance and drug screening * Adherence to business casual dress code * All overtime must be pre-approved in writing About Seneca Resources At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. * Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in machine learning model development and production deployment, particularly in predictive and prescriptive analytics. The ideal candidate will have a strong technical background in Python, PySpark, TensorFlow/PyTorch, advanced ML algorithms (XGBoost, LightGBM, structural time series), and experience building scalable AI/ML architectures using platforms like Databricks and cloud services. This role also requires strong collaboration and mentoring capabilities to translate ambiguous business challenges into end-to-end data science solutions, work effectively with cross-functional stakeholders, and guide junior team members through Agile development cycles. This position is 4 days in office, 1 day remote per week, based at our corporate headquarters in Raleigh, North Carolina (North Hills) Key Responsibilities Model Development & Technical Expertise Collaborate with cross-functional teams- IT Product, Merchandising, Supply Chain, and Finance-to Design and deploy machine learning solutions for demand forecasting, pricing, labor optimization, and supply chain efficiency. Hand-on expertise in training models such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM) using Gigabyte/petabyte scale data using pyspark or similar frameworks. Hands-on Expertise and knowledge of MLOps best practices and ML Engineering, to design and build robust batch and inference ML architectures. Establish best practices for model development, validation, and monitoring to ensure accuracy, scalability, and impact. Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch. Create robust and scalable AI/ML frameworks and build robust architectures. Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus. Collaboration & Communication Promote data-driven culture through analytical storytelling and stakeholder engagement. Work closely with stakeholders to understand business challenges and translate vague business requirements into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes. Ability to mentor and provide guidance to junior team members. Monitoring & Visualization Rapidly prototype and test hypotheses to validate model approaches. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, shapley values etc. Agile Execution Operate effectively in Agile environments, contributing to iterative development cycles and sprint planning. Adapt quickly to changing priorities while maintaining high standards of quality and innovation. Education & Experience: 5+ years of experience in Data Science, Machine Learning, AI/GenAI. Master's degree in computer science, Statistics, Operations Research or similar. Preferred: Experience in Retail Industry AI/ML certifications in Vertex AI/Databricks/AWS. 1+ years of experience as team lead. California Residents click below for Privacy Notice: ***************************************************

A pioneering life sciences research organization is looking for a Data Scientist or Senior Data Scientist specializing in statistical genetics and computational biology. The mission centers on leveraging advanced computational approaches and in vivo model systems to deepen insights into the biological and genetic mechanisms controlling human aging. The work enables innovative interventions that support longer, healthier lives. The environment offers a strong emphasis on fundamental discovery science, integration of academic and industry partnerships, and a dynamic therapeutic R&D pipeline. Key Responsibilities: Apply and advance statistical and computational methods for interpreting biobank\-scale and large cohort datasets, encompassing high\-dimensional phenotypes and longitudinal health data. Design and lead investigations to understand the genetic architecture of age\-related diseases and trait trajectories across populations. Merge multiple biological datasets (e.g., clinical, genetic, multi\-omics) to build new hypotheses for novel treatments targeting aging\-associated conditions. Develop reusable software tools and workflows streamlining analysis and data processing in diverse cohort research projects. Communicate results and collaborate closely with interdisciplinary teams spanning multiple scientific domains-internally and with external research partners. Requirements Ph.D. or equivalent advanced training in genetics, statistical genetics, computational biology, bioinformatics, or a related discipline. Demonstrated expertise in creating and deploying computational or statistical methodologies for large, complex biological\/phenotypic datasets. Proficiency with modern genetic analysis tools-including GWAS, burden tests, fine\-mapping, LD score regression, QTL mapping (eQTL\/pQTL), colocalization, polygenic risk scoring, Mendelian randomization-and specific techniques for studies involving diverse ancestry groups. Hands\-on experience analyzing large\-scale clinical and molecular data, such as genomics, imaging, multi\-omics, and longitudinal datasets. Knowledge of or experience with substantial human cohort research (e.g., UK Biobank, FinnGen, All of Us, or similar repositories). Advanced coding skills in Python and\/or R, with a portfolio of developed tools, libraries, or pipelines accessible to other scientists. Excellent communication and teamwork abilities, with a strong history of collaborating across varied scientific specialties. Onsite work required a minimum of 4 days per week. "}}],"is Mobile":false,"iframe":"true","job Type":"Full time","apply Name":"Apply Now","zsoid":"688258619","FontFamily":"Verdana, Geneva, sans\-serif","job OtherDetails":[{"field Label":"Industry","uitype":2,"value":"Science & Technology"},{"field Label":"City","uitype":1,"value":"Raleigh"},{"field Label":"State\/Province","uitype":1,"value":"North Carolina"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"27709"}],"header Name":"Senior Data Scientist, Statistical Genetics","widget Id":"**********00072311","is JobBoard":"false","user Id":"**********00248003","attach Arr":[],"custom Template":"3","is CandidateLoginEnabled":false,"job Id":"**********15404062","FontSize":"12","google IndexUrl":"https:\/\/callieregroup.zohorecruit.com\/recruit\/ViewJob.na?digest=u6RCQRHkFYC6J5ac54igRZ41KjdHuFUrHtGNB3loNr8\-&embedsource=Google","location":"Raleigh","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do","logo Id":"1gvk5a9fa9ad9912143c8885985d92ce2ae5f"}

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. 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**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. 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. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .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.

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 ********************

**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 (***************************************************************************************************************************

Who We Are: Bandwidth, a prior “Best of EC” award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: As a Data Science Intern during Summer 2026, you'll be at the forefront of empowering Bandwidth to gain valuable insights from our large datasets. You'll work with leadership, product owners and team members to understand complex business needs, and then design, develop and implement data-driven solutions. You have an eye for detail, but can also think abstractly, analytically and creatively about big challenges. You can create novel solutions that will support several teams like NOC, TAC, Fraud Operations and Bandwidth as a whole by making sense of our data, and taking action. What You'll Do: Use analytical tools and statistical techniques to build ways for identifying, analyzing, and troubleshooting anomalies, trends and patterns found in network data Use data analysis techniques and methods to get accurate and actionable insights across multiple datasets Work with development teams to request improvements for statistical techniques and reporting methods Work with teams to optimize data-driven workflows; and provide actionable data solutions, data visualization, and analysis results What You Need: Currently pursuing a Bachelor's degree in math, statistics, computer sciences, or related fields; or Bachelor's degree in unrelated field plus 2 years work experience in statistical analysis Experience with development on projects heavily involved with large data sets and statistical methods, preferably in Python Familiarity and knowledge with the concepts of machine learning, including data mining and unsupervised learning Strong analytical and critical thinking skills, with high attention to detail, and the ability to collect, organize, analyze, and disseminate significant amounts of information Highly self-motivated, with the ability to work independently and take ownership of issues, and willingness to overcome challenging problems while identifying opportunities for improvement Strong communication skills and the ability to simplify and explain information and findings to leadership, team members, and other internal stakeholders The Whole Person Promise: At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well… Are you ready for an awesome internship experience? At Bandwidth we're all about making your time with us fun and fulfilling! Take a break with our 90-minute workout lunch to energize your day, or roll up your sleeves for some cool volunteer activities that give back to our community. You'll also get to meet and connect with our leaders who can share their wisdom and advice. And let's not forget the fun social activities to bond with your fellow interns! Join us for a summer full of learning, laughter, and new experiences-let's make some great memories together! Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered ‘yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND. Applicant Privacy Notice

About the Role: We are seeking a highly skilled and motivated Data Engineer to join our team as an individual contributor. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data-driven initiatives. You will work closely with cross-functional teams to ensure data availability, quality, and performance across the organization. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Key Responsibilities: * Design, develop, and maintain robust data pipelines using Java and Python. * Build and optimize data workflows on AWS using services such as EMR, Glue, Lambda, and NoSQL databases. * Leverage open-source frameworks to enhance data processing capabilities and performance. * Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions. * Participate in Agile development practices, including sprint planning, stand-ups, and retrospectives. * Ensure data integrity, security, and compliance with internal and external standards. Required Qualifications: * 5+ years of hands-on experience in software development using Java and Python (Spring Boo). * 1+ years of experience working with AWS services including EMR, Glue, Lambda, and NoSQL databases. * 3+ years of experience working with open-source data processing frameworks (e.g., Apache Spark, Kafka, Airflow). * 2+ years of experience in Agile software development environments. * Strong problem-solving skills and the ability to work independently in a fast-paced environment. * Excellent communication and collaboration skills. Preferred Qualifications: * Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation). * Familiarity with data governance and data quality best practices. * Exposure to data lake and data warehouse architectures. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Job Title: Senior Data Engineer Workplace: Hybrid - Due to in-office requirements, candidates must be local to either Raleigh, NC or Charlottesville, VA. Relocation assistance is not available Clearance Required: Not required, BUT YOU MUST BE ELIGIBLE FOR A CLEARANCE Position Overview: Elder Research, Inc. (ERI) is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. The ideal candidate will have a strong command of Python for data analysis and engineering tasks, a demonstrated ability to create reports and visualizations using tools like R, Python, SQL, or Power BI, and deep expertise in Microsoft Azure environments. The candidate will play a key role in collaborating with cross-functional teams, including software developers, cloud engineers, architects, business leaders, and power users, to deliver innovative data solutions to our clients. This role requires a consultative mindset, excellent communication skills, and a thorough understanding of the Software Development Life Cycle (SDLC). Candidates should have 7-12 years of relevant experience and experience in client-facing or consultative roles. The role will be based out of Raleigh NC or Charlottesville VA and will require 2-4 days of Business Travel to our customer site every 6 weeks. Key Responsibilities: Data Engineering & Analysis: Develop, optimize, and maintain scalable data pipelines and systems in Azure environments. Analyze large, complex datasets to extract insights and support business decision-making. Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI. Collaboration & Consulting: Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions. Act as a subject-matter expert in data engineering and provide guidance on best practices. Translate complex technical concepts into actionable business insights for stakeholders. Azure Expertise: Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions. Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments. SDLC Proficiency: Follow and advocate for SDLC best practices in data engineering projects. Collaborate with software development teams to ensure seamless integration of data solutions into applications. Required Qualifications: Experience: 7-12 years in data engineering, analytics, or related fields, with a focus on Azure environments. Education: Master s degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: Programming: Advanced expertise in Python; experience with R is a plus. Data Tools: Proficient in SQL, Power BI, and Azure-native data tools. Azure Knowledge: Strong understanding of Azure services, including data integration, storage, and analytics solutions. SDLC Knowledge: Proven track record of delivering data solutions following SDLC methodologies. Consultative Skills: Strong client-facing experience with excellent communication and presentation abilities. Due to Customer requirements Candidates must be US Citizens or Permanent Residents of the United States of America. Preferred Skills and Qualifications: Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect). Familiarity with Azure Functions, Event Grid, and Logic Apps. Hands-on experience with machine learning frameworks and big data processing tools (e.g., Spark, Hadoop). Familiarity with CI/CD pipelines and DevOps practices for data engineering workflows. Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference supporting U.S. national security. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/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.

**_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 Description Who We Are: Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders! At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband What We Are Looking For: As a Data Science Intern during Summer 2026, you'll be at the forefront of empowering Bandwidth to gain valuable insights from our large datasets. You'll work with leadership, product owners and team members to understand complex business needs, and then design, develop and implement data-driven solutions. You have an eye for detail, but can also think abstractly, analytically and creatively about big challenges. You can create novel solutions that will support several teams like NOC, TAC, Fraud Operations and Bandwidth as a whole by making sense of our data, and taking action. What You'll Do: Use analytical tools and statistical techniques to build ways for identifying, analyzing, and troubleshooting anomalies, trends and patterns found in network data Use data analysis techniques and methods to get accurate and actionable insights across multiple datasets Work with development teams to request improvements for statistical techniques and reporting methods Work with teams to optimize data-driven workflows; and provide actionable data solutions, data visualization, and analysis results What You Need: Currently pursuing a Bachelor's degree in math, statistics, computer sciences, or related fields; or Bachelor's degree in unrelated field plus 2 years work experience in statistical analysis Experience with development on projects heavily involved with large data sets and statistical methods, preferably in Python Familiarity and knowledge with the concepts of machine learning, including data mining and unsupervised learning Strong analytical and critical thinking skills, with high attention to detail, and the ability to collect, organize, analyze, and disseminate significant amounts of information Highly self-motivated, with the ability to work independently and take ownership of issues, and willingness to overcome challenging problems while identifying opportunities for improvement Strong communication skills and the ability to simplify and explain information and findings to leadership, team members, and other internal stakeholders The Whole Person Promise: At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well… Are you ready for an awesome internship experience? At Bandwidth we're all about making your time with us fun and fulfilling! Take a break with our 90-minute workout lunch to energize your day, or roll up your sleeves for some cool volunteer activities that give back to our community. You'll also get to meet and connect with our leaders who can share their wisdom and advice. And let's not forget the fun social activities to bond with your fellow interns! Join us for a summer full of learning, laughter, and new experiences-let's make some great memories together! Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND. Applicant Privacy Notice

Job Title: Senior Data Engineer Workplace: Hybrid - Due to in-office requirements, candidates must be local to either Raleigh, NC or Charlottesville, VA. Relocation assistance is not available Clearance Required: Not required, BUT YOU MUST BE ELIGIBLE FOR A CLEARANCE Position Overview: Elder Research, Inc. (ERI) is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. The ideal candidate will have a strong command of Python for data analysis and engineering tasks, a demonstrated ability to create reports and visualizations using tools like R, Python, SQL, or Power BI, and deep expertise in Microsoft Azure environments. The candidate will play a key role in collaborating with cross-functional teams, including software developers, cloud engineers, architects, business leaders, and power users, to deliver innovative data solutions to our clients. This role requires a consultative mindset, excellent communication skills, and a thorough understanding of the Software Development Life Cycle (SDLC). Candidates should have 7-12 years of relevant experience and experience in client-facing or consultative roles. The role will be based out of Raleigh NC or Charlottesville VA and will require 2-4 days of Business Travel to our customer site every 6 weeks. Key Responsibilities: Data Engineering & Analysis: * Develop, optimize, and maintain scalable data pipelines and systems in Azure environments. * Analyze large, complex datasets to extract insights and support business decision-making. * Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI. Collaboration & Consulting: * Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions. * Act as a subject-matter expert in data engineering and provide guidance on best practices. * Translate complex technical concepts into actionable business insights for stakeholders. Azure Expertise: * Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions. * Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments. SDLC Proficiency: * Follow and advocate for SDLC best practices in data engineering projects. * Collaborate with software development teams to ensure seamless integration of data solutions into applications. Required Qualifications: * Experience: 7-12 years in data engineering, analytics, or related fields, with a focus on Azure environments. * Education: Masters degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: * Programming: Advanced expertise in Python; experience with R is a plus. * Data Tools: Proficient in SQL, Power BI, and Azure-native data tools. * Azure Knowledge: Strong understanding of Azure services, including data integration, storage, and analytics solutions. * SDLC Knowledge: Proven track record of delivering data solutions following SDLC methodologies. * Consultative Skills: Strong client-facing experience with excellent communication and presentation abilities. * Due to Customer requirements Candidates must be US Citizens or Permanent Residents of the United States of America. Preferred Skills and Qualifications: * Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect). * Familiarity with Azure Functions, Event Grid, and Logic Apps. * Hands-on experience with machine learning frameworks and big data processing tools (e.g., Spark, Hadoop). * Familiarity with CI/CD pipelines and DevOps practices for data engineering workflows. Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. * Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.