Data science internship jobs in Santa Barbara, CA - 2,326 jobs

JOB TITLE: Staff Data Scientist DURATION: Full-time Key Responsibilities: Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast. Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting. Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts. Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions. Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines. Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray). Act as technical lead on multiple projects, balancing research rigor with business delivery. Must Have Requirements: Strong foundation in Causal Inference, Statistical Analysis, and advanced Machine Learning methods Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios. Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions. Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries. Experience deploying ML systems at scale on cloud platforms (GCP/Azure). Plusses: Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods). Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring. Timeseries - will be working on it but can learn on the job Job Description: Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, we offer an extensive selection that our customers value, whether they shop online , through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

Join the Team That's Redefining Wireless Technology At Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible. We're looking for anexceptional Principal Data Scientist to join our team and drive innovation through advanced analytics and machine learning. In this lead role, you will shape our data science strategy, mentor talented team members, and deliver high-impact solutions that transform how we leverage data to achieve business objectives. What You'll Do: Lead end-to-end data science projects from problem formulation through model development, deployment, and monitoring in production environments. Design and implement advanced machine learning algorithms, statistical models, and AI solutions that drive business value. Provide technical leadership and mentorship to junior data scientists and data engineers, fostering a culture of excellence and continuous learning. Partner with engineering teams to architect scalable data pipelines and ML infrastructure. Establish best practices for experimentation, model training, model evaluation, and monitoring. Stay current with the latest advancements in data science, machine learning, and artificial intelligence. Collaborate with cross‑functional teams, including product, engineering, and business stakeholders, to identify and address key business challenges. Present findings and recommendations to senior leadership and other stakeholders. What You'll Need: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. 10+ years of experience in data science or a related field (at least the last 5 years in data science), with a proven track record of leading impactful projects that achieve clear customer outcomes through product delivery. Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, computer vision, or reinforcement learning. Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, scikit‑learn). Proficiency in SQL and experience working with large‑scale datasets and distributed computing frameworks (Spark, Dask). Demonstrated experience deploying models to production and monitoring model performance. Demonstrated cross‑functional experience with diverse teams across the organization. Excellent communication skills with the ability to explain complex technical concepts to non‑technical audiences. Strong business acumen and ability to connect data science work to organizational objectives. Experience mentoring and developing junior team members. Bonus Points For: Experience in cloud platforms (AWS, GCP, Azure) and MLOps practices. Track record of publishing research or contributing to open‑source projects. Experience with A/B testing and causal inference methodologies. Knowledge of data engineering principles and ETL processes. Leadership experience in managing or leading data science teams. What we offer: We don't just build next‑gen wireless technology - we build people. The salary range for this position is: $200,000 to $260,000 Compensation will be determined based on several factors including, but not limited to: skill set, years of experience and the employee's geographic location. Tarana provides competitive benefits to employees in this role including: Medical, dental and vision benefits, 401K match, flexible time off and stock option. Join Tarana and help shape the future of wireless connectivity. About Us Tarana's mission is to accelerate the deployment of fast, affordable, and reliable internet access around the world. Through a decade of R&D and over $400M of investment, the Tarana team has created and continues to enhance a suite of next‑generation fixed wireless access (ng FWA) technologies. Its unique ng FWA platform delivers game‑changing advances in broadband economics in mainstream and underserved markets, using both licensed and unlicensed spectrum. Tarana's ng FWA technology has been embraced by more than 300 service providers in 24 countries. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Learn more at *********************** #J-18808-Ljbffr

Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, extensive selection that our customers value, whether they shop online through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast. Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting. Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts. Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions. Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines. Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray). Act as technical lead on multiple projects, balancing research rigor with business delivery. What you'll bring Strong foundation in Time Series Forecasting, Causal Inference, Statistical Analysis, and advanced Machine Learning methods Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios. Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions. Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries. Experience deploying ML systems at scale on cloud platforms (GCP/Azure). Great to have Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods). Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring. Background in retail, e-commerce, or operations analytics. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Recruiter name: Ajeet Kumar Recruiter's email id : ***************************** JobDiva ID :: JobDiva # 25-53396

A technical services support company is seeking Junior to Senior Level Data Scientists to join their team across various locations in the U.S. Candidates will develop analytics applications, apply machine learning, and visualize data findings. Required qualifications include education or extensive experience in relevant fields, along with security clearance. Comprehensive benefits package included. #J-18808-Ljbffr

Data Science - San Francisco and Seattle Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT , API , Sora ), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive in this role if you have: 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python Defined, implemented, and operationalized new feature and product-level metrics from scratch Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike Strategic insights beyond the paradigm of statistical significance testing You could be an especially great fit if you have: Strong programming background, with ability to run simulations and prototype variants Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR) Demonstrated prior experience in NLP, large language models, or generative AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

A leading technology company is seeking an experienced engineer to join their team focused on building intelligent ML systems for observability. The ideal candidate will have a PhD in Computer Science or a related field, along with significant experience in cloud-based architectures like AWS or Azure. Responsibilities include leading the development of machine learning algorithms and enhancing AI features across platforms. This position offers an attractive salary and extensive benefits, including flexible vacation policies and a comprehensive insurance package. #J-18808-Ljbffr

A defense contracting company in San Diego is seeking a Mid-Level Data Scientist to support the US Navy on a key project. Responsibilities include system administration for Naval Ship Tracking, software engineering for data analysis tool development, and database management. Ideal candidates have significant Navy network experience, Python expertise, and require a DoD Secret clearance. The position offers a competitive salary range of $63,750 - $89,250 and various benefits including medical and 401(k). #J-18808-Ljbffr

A data management company is looking for recent graduates with a chemistry or material science background to help structure customer datasets. The role involves preparing data for a web platform used by scientists and engineers. Applicants should be interested in software engineering, have proficiency in Microsoft Excel, and coding experience in Visual Basic or Python is preferred. This position offers competitive salary, health insurance, and 401K benefits. Position located in San Francisco, California. #J-18808-Ljbffr

This role is for a Data Scientist (MMM) on a 6‑month contract, paying $50+/hour, remote in the U.S. Requires a Ph.D., 3+ years in data analytics, and experience with MMM, digital marketing, SQL, Python, and cloud technologies. Responsibilities Perform hands‑on coding to retrieve and analyze large datasets using Python and SQL Integrate disparate data sources and leverage state‑of‑the‑art analytics best practices to deliver integrated, actionable insights to partners and stakeholders Manage and streamline the data extraction process with great attention to detail Assess the potential usefulness, validity, and rigor of new data sources Work with a cross‑functional team to ensure that the quality of the data is of the highest standard Help with media mix models to connect the impact of marketing tactics and business short‑term and long‑term outcomes Qualifications Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field 3+ years of industry experience in a data, analytics, and data science role Experience with advertising, measurement, and/or digital marketing analytics Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc. Proficient coding skills (SQL/Python/R) Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop) Proficient BI/BA data visualization tools (Tableau, Power BI, ThoughtSpot, Looker, etc.) Experience working with Marketing Mix Modeling (MMM) and/or Multi‑Touch Attribution Models (MTA) Experience with modeling and machine learning Experience with cloud technologies such as GCP, AWS, and Azure Experience in integrating, structuring, and analyzing large amounts of data from diverse sources Strong project management skills, attention to detail, and documentation skills Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and ‘tell a story that provides insight into the business Passion for working in a fast‑paced agile environment A collaborative mindset and sense of curiosity Experience with predictive modeling algorithms and optimization techniques Experience applying statistics to business problems About FocusKPI FocusKPI is a data science and technology firm specializing in predictive analytics practice and methodologies. Founded in 2010, FocusKPI, Inc. (FocusKPI) is a U.S. company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts. 85 Great Portland Street, London, England, W1W 7LT #J-18808-Ljbffr

Job Description As a healthcare organization dedicated to providing quality services to the Central Coast community, our client is seeking a highly motivated individual to join their team. The ideal candidate will be committed to the mission of improving the health and well-being of members of the community and will bring a combination of skills, experience, and passion to the role. The Medicare Encounter Data Analyst provides data collection, analytical, reporting, and project management support to the Claims Operations team related to the processing, correction, and transmission of highly accurate encounter data. This role validates and analyzes reports and logs related to encounter transactions to ensure compliance, accuracy, completeness, timeliness, and continuous process improvement. Key Responsibilities: Ensure adherence to regulatory and internal guidelines in conjunction with company policies and procedures related to encounter reporting Perform data analysis on submitted encounter data files and produce regular reports of findings Measure encounter data accuracy, submission, and correction timeliness against contractual obligations; recommend procedural changes as needed Monitor and analyze encounter data reporting for accuracy and compliance Maintain in-depth knowledge of encounter data reporting requirements and regulations Analyze and interpret encounter data to identify errors and develop solutions to mitigate them Review and analyze encounter submission regulatory guidelines to ensure compliance with system editing logic Partner with IT on encounter data issues, process development, and system changes to improve encounter management Collaborate with other departments, vendors, and the provider community on ongoing encounter data process improvement projects Develop system change forms (SCFs) to improve data quality and reduce rejections Oversee outsourced vendor encounter data processing, ensuring contractual obligations are met and corrective actions implemented when necessary Manage downstream delegate (VTS) encounter data, including error review, correction, and resubmission to CMS Track and maintain encounter-related project reporting for internal teams and external vendors Review errors received from CMS, make corrections, and develop preventative processes for future accuracy Develop and present encounter data reports for internal committees and vendor oversight meetings Support encounter data management for specialized programs (ECM/CS) Participate in internal and external meetings and maintain compliance with all organizational policies and procedures Qualifications: Strong knowledge of the Medicare D-SNP program and dual-eligible encounter processing (Medi-Cal and Medicare D-SNP) Hands-on experience with Cognizant EDM application systems Bachelor's degree in Healthcare Administration, Business Administration, or a related field (or equivalent experience) 2-3 years of experience in data analysis within a managed healthcare environment; claims experience highly desirable Proficiency in MS Office Suite, with intermediate to advanced Excel skills Experience with healthcare system configuration, data analysis, and familiarity with database systems Understanding of primary coding systems (CPT/HCPCS, ICD-10, NDC) Strong analytical and problem-solving skills Excellent communication and collaboration abilities Experience with QNXT system preferred Knowledge of Medicare claims processing in QNXT preferred Familiarity with CMS and Medi-Cal program regulations and reporting requirements preferred SQL experience preferred Compensation: Salary Range: $76,466 - $93,670 - $110,875

MetroSys is seeking a Data Analyst to support enterprise reporting and analytics initiatives for a financial services client. This role partners closely with a Senior Data Analyst and cross-functional business teams to transform data into clear, actionable insights. The focus of this position is on dashboard development, report maintenance, and data storytelling rather than advanced data science or model development. The ideal candidate enjoys working with data to uncover trends, support decision-making, and enhance customer and business visibility. This role will contribute to ongoing reporting needs while supporting ad-hoc analytical requests across multiple business lines, including marketing, operations, and client experience teams. Key Responsibilities Support the Senior Data Analyst with data collection, validation, and preparation from relational data sources. Maintain, enhance, and optimize existing dashboards and reports to ensure accuracy and usability. Design and develop new visual reports and dashboards that clearly communicate trends, performance metrics, and business insights. Partner with marketing and business stakeholders to support analysis related to customer behavior, acquisition, retention, product performance, and revenue opportunities. Assist with ad-hoc analysis requests, translating business questions into meaningful visual outputs. Ensure data presented to stakeholders is consistent, reliable, and aligned with business definitions. Contribute to documentation and reporting standards to promote consistency and ease of use across the organization. Support a culture of data-driven decision-making by delivering insights in a clear, concise, and compelling manner. Required Qualifications Bachelor's degree in a quantitative or analytical discipline such as statistics, mathematics, economics, marketing analytics, or a related field. 3-5 years of professional experience in a data analysis, reporting, or analytics-focused role. Hands-on experience using Tableau for dashboard creation, reporting, and data visualization (1-3 years). Working knowledge of relational databases and structured data concepts. Ability to work independently, manage multiple priorities, and adapt in a fast-paced environment. Strong analytical thinking, attention to detail, and problem-solving skills. Excellent communication skills with the ability to present data insights to non-technical audiences. Preferred Experience Prior experience supporting analytics in banking, financial services, or a regulated industry. Exposure to marketing analytics, customer experience reporting, or performance measurement frameworks.

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. Microsoft's Quantum program is focused on building a scalable quantum computer to solve problems beyond the reach of classical machines. Microsoft has invested heavily in quantum error correction and fault-tolerance as these are central elements to scaling quantum computers to utility. This area remains a fertile ground for impactful innovation and thus great opportunity to collaborate with a world-class team to move the field forward -- whether it be through the development of codes, fault-tolerant operations, decoding algorithms, or the development of theoretical and software tools that accelerate progress. Responsibilities Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Qualifications Required Qualifications * Currently enrolled in a PhD program in Computer Science, Physics, Mathematics, or a related STEM field. * At least 1 year of experience in quantum error correction and quantum fault-tolerance. Other Requirements * Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship. * In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Preferred Qualifications * Ability to use Python, Julia, Mathematica or other scientific computing tools for modeling quantum error correction codes and circuits. * Experience using libraries such as stim, sinter, pymatching, fusion-blossom, relay-bp, mwpf, qldpc. The base pay range for this internship is USD $6,710 - $13,270 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,760 - $14,360 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

_corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +28 more; +27 more _bar_chart_ Intern & Apprentice _info_outline_ X Applications will be reviewed on a rolling basis and it's in the candidate's best interest to apply early. The anticipated application window is open until **February 27, 2026** , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven't heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience. Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher openings. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred): 1. In the "Resume Section:" attach an updated CV or resume. + Please ensure your anticipated graduation date (in MM/YY) is listed on the resume. 2. In the "Education Section:" attach a current or recent unofficial or official transcript in English. + Under "Degree Status," select "Now attending" to upload a transcript. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. + Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). **Preferred qualifications:** + Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. + Penultimate academic year or returning to a degree program after completion of the internship. + Experience as a researcher, including internships, full-time, or at a lab. + Experience contributing research communities or efforts, including publishing papers in major conferences or journals. + Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). **About the job** Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure. Research Interns work closely with Engineers to discover, invent, and build at the largest scale. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************************************ . **Responsibilities** + Develop and execute a research agenda. + Contribute to a productive and innovative team, including working with peers, managers, and partner teams. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Welcome to Our World We've been leading the charge in the affiliate industry from day one-establishing performance marketing and paving the way for future innovations. We're known for maintaining one of the largest, most reliable partnership platforms with impeccable, personalized service. Founded in Santa Barbara, California in 1998, CJ (formerly Commission Junction) stands as the most trusted name in performance marketing. We specialize in building partnerships between top brands and reputable publishers to drive revenue and business growth. CJ's industry-leading solutions make us the platform of choice for over 3,800 global brands across sectors like retail, travel, finance, technology, and home services. As part of Publicis Groupe, our savvy data capabilities, cutting-edge tech, and strategic expertise facilitate genuine connections, allowing brands to reach consumers wherever they are. A Quick Peek at Affiliate Marketing Think back to your last online purchase. Did an influencer tip you off about a great product and offer a discount? Or perhaps you relied on a trusted review site to make your decision? Whatever path you took, affiliate publishers likely played a role by influencing, informing, or helping you find the best deal. CJ connects brands with these publishers, creating valuable resources for shoppers like you. Overview In this client-facing Data Scientist 2 role at CJ, you will support and lead advanced analysis projects for individual clients and internal collaborators within the Data Science organization. You will take ownership of complex projects end-to-end, ensuring data accuracy while delivering actionable insights that drive advertising program growth across e-commerce, travel, and finance verticals. Collaborating with cross-functional teams, you will interact directly with clients to translate business needs into impactful data science solutions. You'll tap into your expertise in PySpark, Scala, Tableau, advanced measurement (incrementality, MMM, lift testing), and modern AI/ML techniques-including large language models (LLMs)-to develop, visualize, and communicate analyses that enable data-driven decision-making in a dynamic digital advertising landscape. Responsibilities Do these things interest you? You will: * Lead and support advanced client-facing data science and analytics projects, including forecasting, incrementality measurement, and program optimization. * Take ownership of project scoping, data querying and modeling, quality checks, and delivery of actionable insights. * Analyze large-scale e-commerce and advertising datasets, demonstrating statistical and ML methods to uncover opportunities and support growth strategies. * Design and interpret incrementality tests, marketing mix models (MMM), and lift tests to assess causal impact and optimize marketing spend. * Build machine learning models, such as forecasting and inferential analysis, and implement solutions about LLM when relevant. * Create and deliver Tableau dashboards and reporting that distill complex analysis into clear, actionable insights for both internal and external stakeholders. * Collaborate with account teams, engineers, and other data scientists to design and implement scalable data solutions. * Present technical findings and recommendations to non-technical audiences, demonstrating strong client-facing and communication skills. Qualifications What we look for: * 3-5 years of professional experience in Data Science and Analytics. * 2+ years of hands-on experience with PySpark, Scala, and Tableau. * Must have Ad Tech / MarTech industry experience, specifically in e-commerce, travel, and finance. * Strong client-facing experience, including presentations and solution delivery. * Proven ability to deliver scalable data solutions and actionable insights in digital advertising or affiliate marketing. * Proficiency with GitLab or GitHub for version control and collaborative development. * Experience developing alongside LLM code assistants (e.g., Copilot, Claude, Codex). * Preferred: Experience implementing LLMs into business workflows, including training, fine-tuning, and manipulation for applied use cases. * Experience with incrementality testing, MMM, and lift test design and analysis. * Strong communication skills with the ability to simplify and explain complex technical results to non-technical collaborators. Additional information Hybrid or Remote You must be work authorized in the United States without the need for employer sponsorship. CJ is the leader in Performance Marketing. We take pride in our innovative technology, comprehensive data solutions and our people. We equip our teams with advanced tools, training and career development opportunities all to provide modern solutions, strategies and support to deliver high quality results for our clients. We work in an enthusiastic, collaborative team setting that values outstanding performance. We're a community of creative and passionate problem solvers who go the distance to tackle the tough questions, think creatively, and drive resourceful growth, for our clients-and ourselves. We foster and embody an inclusive and collaborative culture where diverse perspectives are sought, relationships are valued, and people feel accepted with a sense of belonging in expressing themselves authentically. We pride ourselves in having a workplace environment that values both work and play. Why Our Workplace Stands Out Apart from offering competitive salaries, 401K matching, wellness programs, and comprehensive medical, dental, and vision coverage, we provide: * Flexible time off without the hassle of accrual * A generous number of paid holidays * Company-sponsored team-building events * An Employee Referral Program * Annual recognition awards * Hybrid work arrangements for optimal work-life balance * Parental bonding leave * Backup care options for children and elders * An employee discount program * International SOS program for global support * Business Resource Groups, where employees connect over shared interests to cultivate an engaging, inclusive environment …and those are just a few of our great perks! Come join us and see what makes our company a great place to work. If you require accommodation or assistance with the application or onboarding process specifically, please contact *****************************. Compensation Range: $87,210 - $115,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/9/26. All your information will be kept confidential according to EEO guidelines.

Data Scientist II (2ppl) STATUS: Contingency - Announcement of Award Imminent SSC: Active Secret Security Clearance (required) SALARY: Please see labor category posted below SUMMARY: The Naval Surface Warfare Center, Port Hueneme Division (NSWC PHD) is part of the larger Naval Sea Systems Command. The NSWC PHD mission is to provide research, development, test and evaluation, and in-service engineering and logistics support to the U.S. Navy, other military services, and government agencies. Its focus areas include combat systems, unmanned systems, surface ship systems, and information systems. LABOR CATEGORIES: All positions require an Active Secret Clearance and experience in DoD Data Scientist II - $105,872.00 Desired Education: Bachelor's degree in a related technical field. Desired Experience: Three (3) years' experience with software integration or testing, including analyzing and implementing test plans and scripts. Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics. Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. COMPANY OVERVIEW DEL REY Systems & Technology, Inc. (DEL REY) is a small Veteran-owned defense contractor founded in 1995 and headquartered in San Diego, California. We are an equal opportunity employer and believe in recruiting and developing the very best professionals in the field. Although our corporate office is in California, we have employees supporting our customers from coast-to-coast and many states in-between. For employment consideration, please submit your resume to this posting in MS-Word and let us know the position for which you are applying. DEL REY is proud to offer competitive compensation and a comprehensive benefit package. Employee benefits include both a Traditional 401k and ROTH Retirement Accounts; Medical, Dental, Vision, FSA, Vacation, Sick, Basic Term Life Insurance, Employee Assistance Program and voluntary supplemental insurance. DEL REY complies with applicable Federal civil rights laws and does not discriminate. We welcome all applicants as we are always looking for skilled employees possessing a desire to join and contribute to an employee-focused company committed to sustaining superior customer satisfaction. For employment consideration, please respond to the job board where we have our posting or to our Career Page and reference the position which you are seeking. DISCLAIMER: The information in this job description indicates the general nature of the opportunity. It should not be construed as a complete or final description . *** Time-Sensitive - Apply if interested ***

ProSidian is a Management and Operations Consulting Services Firm focusing on providing value to clients through tailored solutions based on industry leading practices. ProSidian services focus on the broad spectrum of Risk Management, Compliance, Business Process, IT Effectiveness, Energy & Sustainability, and Talent Management. We help forward thinking clients solve problems and improve operations. Launched by former Big 4 Management Consultants; our multidisciplinary teams bring together the talents of nearly 190 professionals nationally to complete a wide variety of engagements for Private Companies, Fortune 1,000 Enterprises, and Government Agencies of all sizes. Our Services are deployed across the enterprise, target drivers of economic profit (growth, margin and efficiency), and are aligned at the intersections of assets, processes, policies and people delivering value. ProSidian clients represent a broad spectrum of industries to include but are not limited to Energy, Manufacturing, Chemical, Retail, Healthcare, Telecommunications, Hospitality, Pharmaceuticals, Banking & Financial Services, Transportation, Federal and State Government Agencies. Learn More About ProSidian Consulting at ****************** Job Description ProSidian Seeks a Data Analyst | Strategy Management [NSWC005010] - DPLH Est.: 1440 Hrs. ST | 0 Hrs. OT on a Exempt 1099 Contract: No Overtime Pay Contract Contingent Basis Southwestern Region | ProSidian Labor Category - Business Analyst Mid Level Professional aligned under services related to NAICS: 0 - DPLH Est.: 1440 Hrs. ST | 0 Hrs. OT on a Exempt 1099 Contract: No Overtime Pay Contract Contingent Basis located CONUS - Port Hueneme, CA Across The Southwestern Region Region supporting a Port Hueneme, CA U.S. Navy Facility that ensures naval readiness through engineering, logistics, and advanced combat systems support for maritime defense. Seeking Data Analyst candidates with relevant Defense, And Security Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Defense, And Security Sector Clients such as NSWC. This as a Contract Contingent or Contract W-2 (IRS-1099) Strategy Management Functional Area - Strategic Performance Management Position; however, ProSidian reserves the right to convert to a Full-Time ProSidian employed W-2 Position. JOB OVERVIEW Provide services and support as a Strategic Performance Management (Data Analyst) in the Defense, And Security Industry Sector focussing on Management And Operations Solutions for clients such as Naval Surface Warfare Center Port Hueneme Division (NSWC) | NSWC PHD, Department of Defense Generally Located In CONUS - Port Hueneme, CA and across the Southwestern Region Region (Of Country/World). RESPONSIBILITIES AND DUTIES - Data Analyst | Strategy Management [NSWC005010] Provide defense And security-related Management And Operations Solutions for Strategic Performance Management Services on behalf of The U.S. Department of the Navy, Naval Surface Warfare Center, Port Hueneme Division (NSWC PHD). These services are considered part of the ProSidian Aerospace, Defense, And Military Sector Group, with the overall focus being Aerospace, Defense, And Military (DME) Sector Group: Services And Solutions That Enable Aerospace, Defense And Military Agencies To Enhance Capabilities, Drive Transformation, Operate Sustainably, And Maintain Mission-Readiness under NAICS Code: 541611 - Administrative Management and General Management Consulting Services for The Naval Surface Warfare Center Port Hueneme Division (NSWC PHD) with service(s) also characterized as Strategic Management Services Supports performance tracking and monitoring by collecting and analyzing data to provide actionable insights for strategic planning adjustments. Supports data collection, analysis, and reporting for performance tracking. Collect and analyze data, generate reports on performance metrics, support data-driven decisions Qualifications Desired Qualifications For Data Analyst | Strategy Management [NSWC005010] (NSWC005010) Candidates: Proficient in data analysis tools and techniques. Education / Experience Requirements / Qualifications Bachelor's degree in Data Science, Statistics, or related field, 2+ years of data analysis experience. Skills Required Data analysis, critical thinking, attention to detail. Competencies Required Excellent oral and written communication skills (This employer participates in the e-Verify program). Proficient with Microsoft Office Products (Microsoft Word, Excel, PowerPoint, Publisher, & Adobe). Work products shall be thorough, accurate, appropriately documented, and comply with established criteria. All employees, in the performance of their respective responsibilities, shall conduct themselves in the highest possible standards of ethical and business conduct. The candidate shall ensure that duties are performed in a competent and professional manner that meets milestones/delivery schedules as outlined. Employees are subject to regulatory and mandatory training requirements. These requirements will change for individuals based on their job duties or position assignment. Ancillary Details Of The Roles Employees are subject to regulatory and mandatory training requirements. These requirements will change for individuals based on their job duties or position assignment. Standard Skills Required: Proficiency in project management methodologies and tools. | Exceptional leadership and interpersonal skills for effective team management. | Outstanding time management and prioritization abilities to meet project milestones. | Adaptability to changing project requirements and priorities | Ability to multi-task and pay close attention to detail. | Excellent analytical, organizational and time management skills | Strong communication skills, both oral and written. EEO Statement: We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities spanning various disciplines and geographic locations, with projects that our employees plan, design, build, and operate as diverse as the needs of our clients. Ful Time Regular VISA Sponsorship: No - We will not support sponsorship, i.e., H-1B or TN Visas for this position. U.S. Citizenship Required - You must be a United States Citizen Background Check And Drug testing: ProSidian reserves the right to require background checks, including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, ProSidian may conduct drug testing for designated positions. Other Details Due to the sensitive nature of our work, the individuals who will be actively completing work on this contract or reviewing NSWC PHD documents related to our operations must either be cleared (Secret Fcl / Top Secret Fcl) or be able to obtain and maintain a clearance. The client is a Port Hueneme, CA U.S. Navy Facility that ensures naval readiness through engineering, logistics, and advanced combat systems support for maritime defense specializing in developing, maintaining, and troubleshooting advanced combat and weapons systems, strongly emphasizing innovation and fleet support. #TechnicalCrossCuttingJobs #Consulting #ProfessionalAnalyticalSupport #Jugaad #PokaYoke Additional Information CORE COMPETENCIES * Teamwork - ability to foster teamwork collaboratively as a participant, and effectively as a team leader * Leadership - ability to guide and lead colleagues on projects and initiatives * Business Acumen - understanding and insight into how organizations perform, including business processes, data, systems, and people * Communication - ability to effectively communicate to stakeholders of all levels orally and in writing * Motivation - persistent in pursuit of quality and optimal client and company solutions * Agility - ability to quickly understand and transition between different projects, concepts, initiatives, or work streams * Judgment - exercises prudence and insight in decision-making process while mindful of other stakeholders and long-term ramifications * Organization - ability to manage projects and activity, and prioritize tasks ------------ ------------ ------------ OTHER REQUIREMENTS * Business Tools - understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint and Word, and proficient with Adobe Acrobat, data analytic tools, and Visio with the ability to quickly learn other tools as necessary. * Business Tools - understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint and Word, and proficient with Adobe Acrobat, data analytic tools, and Visio with the ability to quickly learn other tools as necessary. * Commitment - to work with smart, interesting people with diverse backgrounds to solve the biggest challenges across private, public and social sectors * Curiosity - the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together * Humility - exhibits grace in success and failure while doing meaningful work where skills have impact and make a difference * Willingness - to constantly learn, share, and grow and to view the world as their classroom ------------ ------------ ------------ BENEFITS AND HIGHLIGHTS At ProSidian, we invest in our employees to help them stay healthy and achieve work-life balance. Our team members receive a comprehensive benefits package that includes Competitive Compensation, Group Health Insurance Health Benefits, 401(k) Retirement Savings Plan Contributions, Vacation and Paid Time off (PTO) Benefits, Pre-Tax Payment Programs, Purchasing Discounts & Savings Plans, a ProSidian Employee & Contractor Referral Bonus Program, Performance Incentives, etc. Our comprehensive benefits package includes a medical, dental and vision plan. Our growing list of benefits currently include the following: * Competitive Compensation: Pay range begins in the competitive ranges with full Gold Level (Tier 1) Group Medical Benefits, Pretax Employee Benefit Plan, plus performance incentives * Group Health Insurance Health Benefits: Group Health Insurance Including Medical, Dental And Vision Insurance: Contributions are deducted from pay on a Pretax basis - Employee and family coverage is available with employer contribution of 50% of Employee (only) premiums under the Health and Vision Plan through Blue Cross Blue Shield NC (Blue Options Medical Plan Code: PB07840 / Metallic Level: Gold - - bcbsnc.com ) and Dental Plan (Ameritas - ****************** * 401(k) Retirement Savings Plan: 401(k) Retirement Savings Plans help you save for your retirement. Eligible employees can make before-tax contributions to the 401(k) Retirement Savings Plan to help you save for retirement. Contributions are deducted from pay on a pretax basis the employee can contribute up to $18k. A wide range of investment options are available with a personal financial planner available to assist you. Immediate 100% vesting of both your contribution and the ProSidian matching contribution. The Plan is a Safe Harbor 401(k) Retirement Savings Plan. ProSidian Consulting participates in a Basic Match: 4% of pay for participants who defer at least 5% of their pay. The Basic Match is structured as follows: 100% of the first 3% of pay that is contributed; and 50% of the next 2% of pay that is contributed. * Vacation And Paid Time Off (PTO) Benefits: The flexibility of Paid Time Off (PTO) lets you set your own priorities. Eligible employees use PTO for vacation, a parent-teacher conference, a doctor's appointment, or any number of events in your life. Currently these benefits include Vacation/Sick days - 2 weeks | Holidays - 10 Federal Government. * Pre-Tax Payment Programs: Pre-Tax Payment Programs currently exist in the form of a Premium Only Plan (POP). These Plans offer a full Flexible Spending Account (FSA) Plan and a tax benefit for eligible employees. * Purchasing Discounts & Savings Plans: We want you to achieve financial success. We offer a Purchasing Discounts & Savings Plan through The ProSidian Corporate Perks Benefit Program - Helping You Do More With Less: ************************************* This provides special discounts for eligible employees on products and services you buy on a daily basis. * Security Clearance: Due to the nature of our management and operations consulting engagements for Private Companies, Fortune 1,000 Enterprises, and Government Agencies of all sizes; oftentimes there are Security Clearance requirements for Engagement Teams handling sensitive Engagements in the Federal Marketplace. A Security Clearance is a valued asset in your professional portfolio and adds to your credentials based on past, present, and future work. * Leverageable Experience and Thought Leadership: By collaborating with firm leadership, other members of the team, as well as Fellows and collaborating partners in what is a flat organization, you'll make valuable professional connections, interact with clients daily, gain leverageable Experience, and contribute to Thought Leadership while you build a basket of marketable experiences. * ProSidian Employee & Contractor Referral Bonus Program: ProSidian Consulting will pay up to $5k for all referrals (payments made after new hire has been employed for 90 days) for candidates submitted through our Employee Referral Program. * Performance Incentives: Due to the nature of our management and operations consulting engagements for Private Companies, Fortune 1,000 Enterprises, and Government Agencies of all sizes there are performance incentives associated with each new client that each employee works to pursue and support. * Flexible Spending Account: Pending ------------ ------------ ------------ ADDITIONAL INFORMATION - See Below Instructions On The Best Way To Apply ProSidian Consulting is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status, or any other protected factor. All your information will be kept confidential according to EEO guidelines. ProSidian Consulting has made a pledge to the Hiring Our Heroes Program of the U.S. Chamber of Commerce Foundation and the “I Hire Military” Initiative of The North Carolina Military Business Center (NCMBC) for the State of North Carolina. All applicants are encouraged to apply regardless of Veteran Status. Furthermore, we believe in "HONOR ABOVE ALL" - be successful while doing things with the right way. The pride comes out of the challenge; the reward is excellence in the work. FOR EASY APPLICATION USE OUR CAREER SITE LOCATED ON ************************* OR SEND YOUR RESUME'S, BIOS, AND SALARY EXPECTATION / RATES TO ***********************. ONLY CANDIDATES WITH REQUIRED CRITERIA ARE CONSIDERED. Be sure to place the job reference code in the subject line of your email. Be sure to include your name, address, telephone number, total compensation package, employment history, and educational credentials. Risk Management | Compliance | Business Processes | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital

Your Opportunity as a Field Operations & Grower Representative Intern As an intern within our operations department, you will work closely with the processing manager to ensure coordination of field fruit deliveries. You will ensure proper contact and relationships with the growers in order to get harvested freezer fruit delivered to the processing plant and/or receiving station as quickly as possible. Location: Oxnard, CA Work Arrangements: Onsite, 100% of the time In this role you will: Determine daily crate volume by obtaining early morning on-site ranch estimates. Adjusts estimates throughout afternoon re-check of harvesting ranches. Immediately reports any significant volume changes. Obtains, records, and passes information to processing manager and plant manager on probable next day crate volume. Advises the plant manager and QC manager immediately when poor quality (soft, catfacing, contamination, etc.) is evident on any particular grower's ranch. Assures that all crates and pallets are distributed to the growers on an as-needed basis to prevent grower stockpiling. At season's end, assures all crates and pallets are returned to the Oxnard plant yard for storage, inventory, and repair. Obtain pesticide reports from the growers when requested and deliver to the Plant Manager. Maintain proper inventories of crate and pallets at receiving stations. Assures crates and pallets are cleaned properly prior to grower distribution. Works with Oxnard plant supervisor/office personnel on any grower weight tag/ grading sheet discrepancies. Delivers and explains corrected documentation to the growers. Schedule trucking to pick up fruit from the receiving stations for timely delivery to the Oxnard plant. Works with our growers to ensure all of their daily deliveries are made early enough to permit same day processing. Addresses any and all other concerns/problems as directed by the Plant Manager. Works with Oxnard processing manager to establish daily production schedule. Coordinates distribution of raw fruit. Records yield data from experimental varieties and other research plots. Take fruit samples as needed for lab evaluation. Conducts special tests, evaluations, and projects as requested by the QC Manager. Visually observes plant development and records. Inspects daily and audit grower field Good Agricultural Practices monthly using Field Sanitation Check list. Immediately follows up on deficiencies. Other duties as required. What we are looking for: Be currently enrolled in a 4-year degree program, Food Science, Logistics or Agri-Business major highly desired Ability to read, write and speak Spanish required Available in late March through the end of August. Able to work weekends, overtime, and night shifts. Excellent communication skills and leadership skills. Compensation: Pay range: $20/hr. to $24.50/hr. Housing allowance (for applicable students) Application Period: Application period closes on January 31st, 2026 Why Choose the J.M. Smucker Company's Internship Program? Are you seeking an exceptional internship experience at a Fortune 500 company? At Smucker, we are dedicated to providing a world-class, award-winning internship that offers you the opportunity to: Learn: Unlock your potential in a collaborative and supportive environment where you are treated like a true peer and challenged to be your best. Grow: Benefit from hands-on training with a dedicated mentor and connect with peers and leaders throughout the company. Lead: Contribute to high-profile projects that support our Company's growing categories like snacks, coffee and pet food. Additional Perks: Along with engaging work, we offer a variety of benefits to ensure your internship is both rewarding and memorable. These include: Unique opportunities to network and interact with company leadership Customized professional development sessions Networking events and social outings with fellow interns Access to a fully equipped fitness center, complete with a basketball court, indoor walking track, and recreational league sports The Orchard, our gourmet cafeteria, offering breakfast and lunch with seasonal and locally-sourced ingredients A competitive compensation package, including paid corporate holidays Employee discounts at our Company Store A housing stipend for interns relocating for the program Experience an internship where you can learn, grow, and lead - all while being part of something special at Smucker. Learn more about working at Smucker: Our Internship Program Delivering on Our Purpose Our Continued Commitment to Ensuring a Workplace for All Follow us on LinkedIn

Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site's Cold War legacy. Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. MSTS offers our regular, full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc. Due to the nature of our work, US Citizenship is required for all positions. Completion of the first year in a related business degree program at an accredited institution, as of the date application is submitted. The declared degree must pertain to the department to which the student will be assigned. Must be actively enrolled in school, as of the date application is submitted. Must have and maintain a cumulative grade point average of 3.0 on a 4.0 scale, as of the date application is submitted. Must be located in the contiguous United States. Must have: Planning/organizing skills and initiative Good written and verbal communication skills Ability to follow directions, both written and verbal, and able to work independently as well as part of a team Strong computer skills are desired, including MS Office and computer programming. The primary work location will be at the Special Technologies Laboratory (STL) in Santa Barbara, CA. A pre-placement drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing. Must have a valid driver's license. Ability to obtain a HSPD-12 Personal Identity Verification credential under the Department of Energy Order 206.2, ‘ Identity, Credential, and Access Management ,' and Supplemental Directive NNSA SD 206.2, ‘ Implementation of Personal Identity Verification for Uncleared Contractors .' MSTS is an Equal Opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace. Hourly range for this position is $16.45 - $23.00. Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity. THIS IS A CASUAL POSITION WORKING A MAXIMUM OF 900 HOURS PER CALENDAR YEAR. Our Special Technologies Laboratory (STL) in Santa Barbara, CA is looking to hire an undergraduate business intern for our 2026 summer internship program. The selected student will work under the direct supervision of a manager & mentor within a variety of areas and will be provided with hands-on participation in ongoing projects at one of the most unique experimental sites in the United States. We are looking for qualified and motivated undergrad business students. Duties and Responsibilities: Organize and update lab communications to include physical and digital materials. Support records management efforts. Organize and maximize efficiencies in STL current business operations. Work with IT to create electronic forms from physical documents. Create and give presentations on intern project and progress to teammates and management. Potential for participating in hands-on data acquisition activities depending on project. Please note these important dates for our 2026 Summer Student Program: December 18th, 2025 - Last day for student internship applications to be accepted May 19th, 2026 - Summer internship Student Program begins August 7th, 2026 - Summer internship Student Program concludes

Job DescriptionThe AEC Marketing internship is an opportunity like no other. Here you will have the opportunity to learn and develop crucial skills in sales, persuasion, work ethic, and professional communication. Completing the AEC program will allow you to fill your resume with real numbers, data and professional experiences. Don't wait, get a head start and come join the team today! Responsibilities & Expectations Develop, refine and master sales and communication skills Successfully engage with clients and provide necessary support for success Promote like-minded success through friendly competition and growth mindset training Be coachable Promote positivity and creative thinking in order to help your team's sales and customer service processes Learn how to effectively use sales technologies such as CRM's Learn how to generate leads and build a pipeline through cold contacting and door to door contacting. Qualifications & Skills Verbal communication Organization Scheduling Time management Professionalism Customer focus Earnings & Company Benefits Average First Year earns $ 25,000-$30,000 in commission (Realistic opportunity to make more) Multiple extra bonuses, competitions, incentives/prizes and opportunities are available Housing/furniture set up for all our employees Networking opportunities Potential opportunity for full-time upon hiring The opportunity to network with like-minded Individuals from all over the country Health and Dental Lifetime gym membership Leadership development The opportunity to live in The San Francisco Bay Area. E04JI802qmf3407o6nl