Data scientist jobs in North Carolina

Let's color the world! We are GNT, an ambitious and innovative family-run business with a colorful character! With our EXBERRY brand, we are the market leader in the field of Coloring Foods. Our colorings are 100% natural and are made from fruits, vegetables and plants. We are world champions when it comes to utilizing the bounty of nature and strive to continuously innovate and improve natural color ingredients for the consumer. By carefully preserving all of nature's beauty and goodness, we are able to offer our clients the highest quality and most reliable products. This is what continues to motivate us every day! The most important ingredients for GNT's success are our employees and the cooperation that exists between them. We believe in teamwork, and we are there for one another, our clients, our suppliers and our partners. That is what makes us GNT. Due to the growth of GNT we are seeking a Food Science Intern (Full-Time) The Food Science Intern will be responsible for conducting project trials to promote internal understanding of product performance in various food applications. The intern will gain insight into the natural food coloring industry and have exposure to providing customers with color recommendations, stability testing, data collection and analysis. The intern may also assist in creating demos for customer meetings and tradeshows. Duration of Assignment: Late May 2026 through August 2026 The role: Produce concise technical reports providing necessary data collected and analyzed on the product developed. Work collaboratively with the other members of the Technical Development team as necessary for completion of projects. Maintain ongoing documentation of projects, including detailed information regarding methods, materials and data collection. Utilize food science and culinary experience to produce quality products in line with industry standards. Maintain a clean and organized lab space, and update ingredient library as required. Additional responsibilities: Operate lab and pilot plant equipment Assist with trial batching, execution and data analysis Assist with customer visits or workshops Stay current with all required training and ensure timely completion. Follow the Company's established processes, procedures, and policies, ensuring compliance with Good Manufacturing Practices (GMPs), Personal Protective Equipment (PPE) requirements, Safe Quality Food (SQF) standards, and product quality guidelines. Maintain a collaborative team mindset while actively supporting GNT's Food Safety culture. Maintain a clean and organized work environment and support colleagues in adhering to hygiene standards. About you, as our ideal candidate: Enrolled in an accredited college or university as a Sophomore, Junior, Senior OR a recent graduate ( Excellent technical verbal and written communication skills Organizational and time management skills Ability to work independently and as part of a team Working knowledge of Microsoft Office Willingness to travel What do we find important? GNT operates globally, being an independent, family-owned business committed to investing in products, technology and importantly, our people. The GNT values are the basis of our daily activities. That's why we think it's important that we fit together. GNT employs people who are enterprising and take responsibility. Customer and service orientation is of course paramount! We always take that extra step to offer our external and internal customers the best service. In addition, we do everything we do as sustainably as possible. We are open and honest with each other and bring out the best in each other. We color the world, do you? GNT USA is proud to be an Equal Employment Opportunity/Affirmative Action employer committed to an inclusive and diverse workplace. All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, creed, marital status or any other consideration prohibited by law or by contract. All your information will be kept confidential according to EEO guidelines. Please send all resumes to our HR department at ******************* for consideration. This position does not include relocation, housing, transportation, or visa spons

Mercor is hiring a Data Engineer on behalf of a leading AI lab. In this role, you'll **design resilient ETL/ELT pipelines and data contracts** to ensure datasets are analytics- and ML-ready. You'll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale. * * * ### **You're a great fit if you:** - Have a background in **computer science, data engineering, or information systems**. - Are proficient in **Python, pandas, and SQL**. - Have hands-on experience with **databases** like PostgreSQL or SQLite. - Understand distributed data processing with **Spark or DuckDB**. - Are experienced in orchestrating workflows with **Airflow** or similar tools. - Work comfortably with common formats like **JSON, CSV, and Parquet**. - Care about **schema design, data contracts, and version control** with Git. - Are passionate about building pipelines that enable **reliable analytics and ML workflows**. * * * ### **Primary Goal of This Role** To design, validate, and maintain scalable ETL/ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems. * * * ### **What You'll Do** - Build and maintain **ETL/ELT pipelines** with a focus on scalability and resilience. - Validate and enrich datasets to ensure they're **analytics- and ML-ready**. - Manage **schemas, versioning, and data contracts** to maintain consistency. - Work with **PostgreSQL/SQLite, Spark/Duck DB, and Airflow** to manage workflows. - Optimize pipelines for performance and reliability using **Python and pandas**. - Collaborate with researchers and engineers to ensure data pipelines align with product and research needs. * * * ### **Why This Role Is Exciting** - You'll create the **data backbone** that powers cutting-edge AI research and applications. - You'll work with modern **data infrastructure and orchestration tools**. - You'll ensure **reproducibility and reliability** in high-stakes data workflows. - You'll operate at the **intersection of data engineering, AI, and scalable systems**. * * * ### **Pay & Work Structure** - You'll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20-30 hrs/week) with flexible hours-work from anywhere, on your schedule. - Weekly Bonus of **$500-$1000 USD** per 5 tasks. - Remote and flexible working style.

W2 ONLY - NO CORP TO CORP - CONTRACT TO HIRE - NO VISA SPONSOR/TRANSFER - NO 3RD PARTY AGENCY CANDIDATES Data Engineer Serve as subject matter expert and/or technical lead for large-scale data products. Drive end-to-end solution delivery across multiple platforms and technologies, leveraging ELT solutions to acquire, integrate, and operationalize data. Partner with architects and stakeholders to define and implement pipeline and data product architecture, ensuring integrity and scalability. Communicate risks and trade-offs of technology solutions to senior leaders, translating technical concepts for business audiences. Build and enhance data pipelines using cloud-based architectures. Design simplified data models for complex business problems. Champion Data Engineering best practices across teams, implementing leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments. Operate independently while fostering a collaborative, transformation-focused mindset. Work effectively in a lean, fast-paced organization, leveraging Scaled Agile principles. Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value. Qualifications 5+ years of data engineering experience. 2+ years developing and operating production workloads in cloud infrastructure. Bachelor's degree in Computer Science, Data Science, Information Technology, or related field. Hands-on experience with Snowflake (including SnowSQL, Snowpipe). Expert-level skills in AWS services, Snowflake, Python, Spark (certifications are a plus). Proficiency in ETL tools such as Talend and Informatica. Strong knowledge of Data Warehousing (modeling, mapping, batch and real-time pipelines). Experience with DataOps tools (GitHub, Jenkins, UDeploy). Familiarity with P&C Commercial Lines business. Knowledge of legacy tech stack: Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, Shell scripting. Experience using Agile tools like Rally. Excellent written and verbal communication skills to interact effectively with technical and non-technical stakeholders.

Must Have Technical/Functional Skills We are seeking a skilled Technical Data Steward to support enterprise data governance and metadata management initiatives within the Alation Data Platform. The successful candidate will ensure the accuracy, completeness, and traceability of metadata and data lineage across diverse data environments. This role bridges technical and business domains, working closely with data owners, analysts, and business data stewards to promote transparency accountability and consistent data usage across the organization * 3+ years of experience in data stewardship, metadata management, or data governance. * Hands-on experience with Alation or similar metadata management tools. * Strong SQL skills (MSSQL, Oracle, or similar platforms). * Experience with data lineage tracing, ETL processes, and enterprise data integration concepts. * Excellent communication, documentation, and interpersonal skills; ability to translate technical data issues into clear business language. * Solid understanding of relational database structures, schemas, and data models. Roles & Responsibilities Metadata Management: o Manage data lineage documentation from ingestion through transformation and consumption. o Improve training documentation to assist Alation users with creating/maintaining lineage Data Lineage & ETL Tracking: o Trace data flows across multiple systems, including databases, ETL tools (e.g., Informatica, Talend, scripting tools like SAS), data warehouses, and analytics platforms. o Collaborate with business data stewards to map Critical Data Elements (CDEs) - from the column level-to their authoritative sources. o Document technical relationships between data sources, transformations, and outputs. Analytics & Reporting: o Write and optimize SQL queries to support Alation Analytics dashboards and reports, lineage validation, and data usage metrics. o Provide insights on data lineage completeness, quality, and catalog adoption trends. Collaboration & Relationship Management: o Partner with business data stewards and data owners to document source-to-target mappings, ensure lineage accuracy and align metadata standards. o Build and maintain strong cross-functional relationships to encourage data sharing and consistent stewardship practices. o Communicate technical concepts clearly to non-technical stakeholders through written documentation and visual models. Technical Stewardship: o Understand how data traverses through various database technologies (e.g., SQL Server, Oracle, Hive, DB2, etc.). < div>o Support documentation of data storage locations, data movement, and transformation logic. o Participate in governance forums to enforce data quality, metadata standards, and stewardship best practices. Preferred Qualifications * Familiarity with Informatica PowerCenter, Talend, Tableau, Power BI, Hive, or DB2. * Experience developing or supporting metadata-driven analytics or data governance dashboards. * Prior experience collaborating within a federated data stewardship model across technical and business teams. Salary Range: $125,000 to $135,000 per year

General Atomics Integrated Intelligence Inc. (GA Intelligence) develops cutting-edge software solutions that transform raw data into actionable intelligence. We specialize in real-time global situational awareness and battle management, processing petabytes of data from hundreds of sources across air, land, and sea. Our systems-including the widely used THRESHER and DRAGONSPELL platforms-support tens of thousands of users at all levels of the DoD and Intelligence Community and enable critical decision-making for national security missions. We process hundreds of thousands of observations per minute, operating at the scale of global sensor networks and battlefield telemetry. We develop streaming and batch analytics that enable both strategic analysis and tactical decision-making. By experimenting with new techniques and technologies, we continuously push the boundaries of innovation while rigorously testing all solutions to ensure they meet mission-critical standards. Our analytics include tracking, activity detection, and automatic target recognition (from imagery). Why GA Intelligence? GA Intelligence combines the staying power of an experienced defense contractor with the agility and values of a mission-focused technology company. We've spent decades building systems our users love-trusted tools used daily by operators and analysts across the national security community. Our customers keep coming back because we deliver what we promise, and our engineers stay because they get to solve real problems that truly matter. We're not a flashy startup. We don't chase headlines-we focus on delivering reliable capabilities with long-term impact. And while we share DNA with traditional defense contractors, we operate differently. As a privately held company, we make decisions based on what's right for the mission, not for a quarterly earnings call. We move fast when it counts, think long-term, and hold ourselves to the highest technical and ethical standards. What We Believe These values weren't crafted in a branding session-they were observed and articulated after 35 years of building software that matters. They reflect how we work, what we value in each other, and the kind of impact we want to have. At GA Intelligence, they aren't aspirational-they're how we operate. Solving Meaningful Challenges - Building mission-driven technology that makes a difference Collaborative Culture - Working as a team to push boundaries and innovate Technical Excellence - Encouraging continuous learning, curiosity, and efficiency Idea Meritocracy - Valuing ideas based on impact, not hierarchy If these principles resonate with you-not just in theory, but in daily practice-you'll find yourself at home here. What You'll Do We are seeking Data Scientists to help build the next generation of global situational awareness and battle orchestration capabilities. You'll collaborate with cross-functional teams-including software engineers, mission engineers, product owners, and other data scientists-to design and deliver solutions that transform raw data into actionable intelligence. Whether you're developing machine learning models, analyzing multi-source data, or shaping how insights reach the end user, your work will directly support operational missions with real-world impact. As such, we take pride in delivering analytically rigorous solutions. Our data scientist don't just run the models, they understand the math behind them. DUTIES AND RESPONSIBILITIES: Lead Data Scientists at GA Intelligence are technical leaders who shape strategy, architecture, and delivery across complex analytical projects. You'll drive the design and implementation of high-performance solutions, set rigorous analytical standards, and contribute to the long-term technical direction of mission-critical systems. In addition to developing and maintaining critical models, you'll act as a mentor, decision-maker, and trusted advisor within the team and with external stakeholders. Your teams will be comprised of Data Scientists and Software Engineers empowering you to deliver performant analytic solutions. Understand the Domain and Problem Space: Invest time in learning and understanding the mission, operational context, and problem space to ensure analytics align with real-world needs. Collaborate with domain experts to identify key challenges and opportunities for data-driven insights and the use of artificial intelligence. Lead Development Activities: Analyze data and assess the performance of existing analytics, identifying areas for improvement and optimization. Create new analytics while ensuring they are rigorously tested and validated to meet mission-critical standards. Lead implementation and delivery of high-impact analytic solutions that support mission-critical operations. Collaborate Externally: Represent GA-I3 as a senior technical expert in discussions with customers, partners, and other engineering teams. Coordinate deployments and upgrades of data science solutions across distributed environments, including DoD and IC networks, ensuring operational readiness and reliability. Design for High Performance: Collaborate with software engineers to design analytics optimized for high performance and scalability. Focus on building solutions that can handle large-scale data operations efficiently, balancing computational demands with mission requirements. Identify bottlenecks and propose strategies to enhance analytical throughput and reliability. Build the Team: Hire and lead a team of software engineers and data scientists. Collaborate with engineering managers to provide mentoring, onboarding support, skill development, and career growth for your team. Provide technical leadership across the development lifecycle, including model validation, code reviews, and testing best practices. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; fourteen or more years of experience with a bachelor's degree, twelve or more years of experience with a master's degree, or nine or more years with a PhD. May substitute equivalent experience in lieu of education. Deep expertise in Python, R, or other data science languages. Demonstrated technical leadership in cross-functional analytical efforts. Strong written and verbal communication skills, including experience working directly with customers or stakeholders. Ability to obtain and maintain DoD security clearance is required. DESIRED SKILLS AND EXPERIENCE: Proven experience architecting and scaling machine learning systems. Expertise in backend architecture, distributed systems, and data pipeline design. Familiarity with technologies such as Kafka, NiFi, AWS, Kubernetes, or Docker. Experience leading incident response, root cause analysis, and operational improvements. Ability to interface directly with customers and senior stakeholders. Experience working in the DoD or Intelligence Community.

We are seeking a motivated Data Scientist with strong technical skills in machine learning and a passion for continuous learning. The ideal candidate will have foundational experience in building predictive and prescriptive models using Python, PySpark, and modern ML frameworks (TensorFlow, PyTorch, XGBoost, LightGBM). This role requires the ability to write production-ready code, develop automated model monitoring workflows, create visualization dashboards, and work collaboratively in Agile environments with cross-functional teams. 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 Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM). Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch. Write efficient, production-ready code and frameworks optimized for scalability and deployment. 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. Rapidly prototype and test hypotheses to validate model approaches. Collaboration & Communication Should be a team player and should have a strong desire to learn new technologies and methodologies. 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: 1+ years of experience in Data Science, Machine Learning, AI/GenAI. Master's degree in computer science, Statistics, Operations Research, Mathematics or similar. Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus. Preferred: Experience in Retail Industry AI/ML certifications in Vertex AI/Databricks/AWS. California Residents click below for Privacy Notice: ***************************************************

Hello, I hope this message finds you well. I'm reaching out to share an exciting opportunity that I believe aligns with your experience and expertise in the field for my client. If you are interested, I'd love to connect and share more details. GenAI Engineer 100% Remote **NO H1B Candidates** REST ALL CAN APPLY ** Only W2 Candidates Experience - 10+ Years Job description:- Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following, AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles. Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch. Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim. Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools. Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset. Best regards, All done! Your application has been successfully submitted! Other jobs

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

Data Scientist The application window is expected to close on: 12/05/2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Members of the Operations Organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions. Meet the Team Join our dynamic team in the newly formed Cisco Automation and AI at the forefront of AI innovation! We're a passionate group of engineers, data scientists, and product experts dedicated to building the future of commerce. We are building an AI Assistant to revolutionize how users interact with our platform. We value collaboration, continuous learning, and the opportunity to make a real-world impact. Position Summary: We are looking for a full-stack Data Scientist who will play a crucial role in designing, developing, and implementing an AI Assistant within our Commerce Platforms. The ideal candidate will have expertise across the entire data science lifecycle, including data engineering, data curation, modeling, and analysis. Additionally, they must possess strong business understanding and excellent communication skills to bridge the gap between technical development and business needs. Your Impact As a Full-Stack Data Scientist, you will be at the heart of creating an intelligent and intuitive AI Assistant. You'll be tackling the challenge of integrating advanced AI capabilities into our commerce platform, allowing you to push the boundaries of what's possible with LLMs and RAG systems. This is an exciting opportunity to shape the future of our commerce platform and see your innovations directly impact thousands of users. Key Responsibilities: Modeling and Analysis: * Assist in the design, development, and optimization of generative AI models. * Perform exploratory data analysis to uncover insights and inform model development. * Continuously monitor and refine models to improve their performance and accuracy. Business Understanding and Communication: * Work closely with business stakeholders to understand their needs and translate them into technical requirements. * Communicate complex technical concepts to non-technical team members and stakeholders. * Provide insights and recommendations based on data analysis to drive business decisions. Feedback Loops and Continuous Improvement: * Establish and manage feedback loops to gather user input and improve the AI Assistant. * Analyze feedback data to identify areas for improvement and implement necessary changes. * Develop strategies to enhance model performance based on user feedback and operational metrics. Trust and Security: * Ensure the integrity and security of data used and generated by the AI Assistant. * Implement measures to maintain user trust and comply with relevant regulations and standards. * Develop protocols to handle sensitive data and ensure its protection. Collaboration and Integration: * Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to ensure seamless integration of the AI Assistant. * Participate in code reviews and contribute to the overall improvement of the development process. * Ensure that the AI Assistant aligns with business goals and delivers a high-quality user experience Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. * Strong programming skills in languages such as Python, R, or Java. * Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, Haystack, or DSPy. * Familiarity with RAG evaluation frameworks and techniques (e.g., Ragas, DeepEval, TruLens). Preferred Qualifications: * Experience with human-in-the-loop (HITL) processes for feedback collection and annotation. * Proven experience as a Data Scientist, with a focus on generative AI and machine learning. * Strong proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow). * Solid understanding of automated evaluation metrics and strategies for LLMs * Strong problem-solving skills and the ability to debug complex AI system behaviors. * Strong understanding of the data science lifecycle, including data collection, cleaning, modeling, and analysis. * Excellent business understanding and the ability to communicate effectively with both technical and non-technical stakeholders. * Experience in building and deploying AI-driven applications, particularly AI Assistants, is a plus. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $134,600.00 to $177,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

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.

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

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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WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do Epic Games is seeking to expand its Insights team with a focus on Observability. We are looking for a Data Scientist to assist us in delivering and maintaining an Epic-quality live service game. This role wears many hats, juggles dynamic priorities, and works toward constantly moving targets. You'll create Data Tools, Workbooks, and Dashboards to support global Epic Development and Publishing efforts. In this role, you will Expand on Epic's real-time Observability Framework by building, maintaining, and working with stakeholders to produce insightful product health monitoring and alerting. Educate key stakeholders on real-time data and provide clear sources of truth to make high-velocity data-driven decisions. Advocate for the player - coordinate across multiple disciplines, teams, and time zones to maintain a high-quality live service product. Dig into data, utilizing existing tools and rapid ad-hoc querying and visualization to help resolve active live issues. Drive Observability evolution - continuously re-evaluate existing dashboards for opportunities to improve our data story. Work with Data Teams to leverage the latest data features and tools. What we're looking for Direct experience building or maintaining observability for live service games, including familiarity with instrumentation, event schemas, real-time alerting, and health dashboards Proficiency with Grafana, DataDog, Kibana, or Amazon CloudWatch Proficiency with JPath, PromQL, SQL, or strong knowledge of scripting languages. Prior experience in analytics, project management, release management, production, or analytics qa. Strong in-the-moment problem-solving skills and ability to break large problems into manageable and actionable pieces. Ability to communicate equally effectively with both technical and non-technical stakeholders at all levels. Flexible availability - including on-call - and strong time management skills. This role is open to multiple locations in North America (including CA & WA). Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren't limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic's generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). California Base Pay Range$123,812-$181,591 USDWashington Base Pay Range$112,556-$165,083 USD ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

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

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics 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 (***************************************************************************************************************************

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

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

Data Scientist The application window is expected to close on: 12/05/2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Members of the Operations Organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions. Meet the Team Join our dynamic team in the newly formed Cisco Automation and AI at the forefront of AI innovation! We're a passionate group of engineers, data scientists, and product experts dedicated to building the future of commerce. We are building an AI Assistant to revolutionize how users interact with our platform. We value collaboration, continuous learning, and the opportunity to make a real-world impact. Position Summary: We are looking for a full-stack Data Scientist who will play a crucial role in designing, developing, and implementing an AI Assistant within our Commerce Platforms. The ideal candidate will have expertise across the entire data science lifecycle, including data engineering, data curation, modeling, and analysis. Additionally, they must possess strong business understanding and excellent communication skills to bridge the gap between technical development and business needs. Your Impact As a Full-Stack Data Scientist, you will be at the heart of creating an intelligent and intuitive AI Assistant. You'll be tackling the challenge of integrating advanced AI capabilities into our commerce platform, allowing you to push the boundaries of what's possible with LLMs and RAG systems. This is an exciting opportunity to shape the future of our commerce platform and see your innovations directly impact thousands of users. Key Responsibilities: Modeling and Analysis: * Assist in the design, development, and optimization of generative AI models. * Perform exploratory data analysis to uncover insights and inform model development. * Continuously monitor and refine models to improve their performance and accuracy. Business Understanding and Communication: * Work closely with business stakeholders to understand their needs and translate them into technical requirements. * Communicate complex technical concepts to non-technical team members and stakeholders. * Provide insights and recommendations based on data analysis to drive business decisions. Feedback Loops and Continuous Improvement: * Establish and manage feedback loops to gather user input and improve the AI Assistant. * Analyze feedback data to identify areas for improvement and implement necessary changes. * Develop strategies to enhance model performance based on user feedback and operational metrics. Trust and Security: * Ensure the integrity and security of data used and generated by the AI Assistant. * Implement measures to maintain user trust and comply with relevant regulations and standards. * Develop protocols to handle sensitive data and ensure its protection. Collaboration and Integration: * Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to ensure seamless integration of the AI Assistant. * Participate in code reviews and contribute to the overall improvement of the development process. * Ensure that the AI Assistant aligns with business goals and delivers a high-quality user experience Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. * Strong programming skills in languages such as Python, R, or Java. * Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, Haystack, or DSPy. * Familiarity with RAG evaluation frameworks and techniques (e.g., Ragas, DeepEval, TruLens). Preferred Qualifications: * Experience with human-in-the-loop (HITL) processes for feedback collection and annotation. * Proven experience as a Data Scientist, with a focus on generative AI and machine learning. * Strong proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow). * Solid understanding of automated evaluation metrics and strategies for LLMs * Strong problem-solving skills and the ability to debug complex AI system behaviors. * Strong understanding of the data science lifecycle, including data collection, cleaning, modeling, and analysis. * Excellent business understanding and the ability to communicate effectively with both technical and non-technical stakeholders. * Experience in building and deploying AI-driven applications, particularly AI Assistants, is a plus. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $134,600.00 to $177,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do Epic Games is seeking to expand its Insights team with a focus on Observability. We are looking for a Data Scientist to assist us in delivering and maintaining an Epic-quality live service game. This role wears many hats, juggles dynamic priorities, and works toward constantly moving targets. You'll create Data Tools, Workbooks, and Dashboards to support global Epic Development and Publishing efforts. In this role, you will Expand on Epic's real-time Observability Framework by building, maintaining, and working with stakeholders to produce insightful product health monitoring and alerting. Educate key stakeholders on real-time data and provide clear sources of truth to make high-velocity data-driven decisions. Advocate for the player - coordinate across multiple disciplines, teams, and time zones to maintain a high-quality live service product. Dig into data, utilizing existing tools and rapid ad-hoc querying and visualization to help resolve active live issues. Drive Observability evolution - continuously re-evaluate existing dashboards for opportunities to improve our data story. Work with Data Teams to leverage the latest data features and tools. What we're looking for Direct experience building or maintaining observability for live service games, including familiarity with instrumentation, event schemas, real-time alerting, and health dashboards Proficiency with Grafana, DataDog, Kibana, or Amazon CloudWatch Proficiency with JPath, PromQL, SQL, or strong knowledge of scripting languages. Prior experience in analytics, project management, release management, production, or analytics qa. Strong in-the-moment problem-solving skills and ability to break large problems into manageable and actionable pieces. Ability to communicate equally effectively with both technical and non-technical stakeholders at all levels. Flexible availability - including on-call - and strong time management skills. EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.