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Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.

Job Description CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Don’t Need Luck — You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, it’s about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. You’ll work on high‑demand technologies, build real‑world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You don’t need luck — you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume

AI Scientist | West Palm Beach, FL About Our Client Our client develops and deploys systematic financial strategies across a broad range of asset classes and global markets, producing high-quality predictive signals (alphas) through a proprietary research platform focused on market inefficiencies. Their culture pairs academic sensibility with accountability for results — employees are encouraged to think openly, challenge conventional thinking, and pursue continuous improvement. Great ideas can come from anyone, anywhere. They're looking to hire the best and the brightest — people with outstanding intellectual horsepower who can help build the roadmap to future success, not just follow one. The Role We are seeking an exceptionally talented AI Scientist to join our client's Artificial Intelligence team. The successful candidate will: • Conduct research in Machine Learning to improve multiple aspects of the investment pipeline, • Produce trading and predictive signals using innovative ML algorithms, • Apply the latest LLM-based agentic technology to develop and test trading signals and algorithms, • Implement signal compression and combination techniques using ML tools, • Implement state-of-the-art machine learning algorithms and design deep learning architectures, • Develop model frameworks for investment professionals, • Collaborate with portfolio managers and researchers to optimize machine learning algorithms, • Communicate effectively with team members, researchers, and portfolio managers What You'll Bring • PhD in a quantitative or highly analytical field (Computer Science, Physics, Mathematics, Statistics, or related), • 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems, • Track record of graduating at the top of your program, with excellent problem-solving abilities, insight, and judgment, • Strong development skills and proficiency in C++, Python, and PyTorch, • Demonstrated science aptitude via a record of creativity and invention, with the ability to run experiments and perform statistical inference, • Experience with software development tools and practices (version control/Git, continuous integration, testing frameworks), • Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization, • Strong communication skills; ability to express complex concepts in simple terms If you are interested in this role, please feel free to send your resume to jing@aaaglobal.co.uk.

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts.We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance.You will build data products to extract valuable business insights, analyze trends and help us make better decisions.We expect you to be hig

Job Description CSS, Inc. is looking for a qualified candidate to provide data management and collection, and survey coordination support for the Marine Mammal & Turtle Division (MMTD) of the Southeastern Fisheries Science Center (SEFSC), to support marine mammal and sea turtle science and conservation in support of various legislative mandates, other applicable laws and regulations, as well as administrative priorities. The candidate will conduct, support, and/or oversee all aspects of field research activities conducted by the Division and partners from project design to data collection, management, sharing (internal), and dissemination of scientific information (external) in coordination and communication with Principal Investigators, Program Leads, and MMTD leadership.Location: Miami, FL, Beaufort, NC, or Pascagoula, MS (On Site)Responsibilities Data Collection and ManagementDevelop and update standard research protocols and comply with scientific research permit requirements, including compliance with the Marine Mammal Protection Act, Endangered Species Act, and the Animal Welfare Act and NMFS Animal Care and Use Policy.Manage and curate data for accuracy and quality, ensuring metadata is provided and data is properly stored, archived, and accessible in established repositories in the Cloud and per NOAA's Data Governance Strategy and other established NOAA data policies.Use the latest techniques and software for managing large and complex datasets (acoustics, photo-ID, omics, survey data)Work with other MMTD team members to formulate analytical solutions to questions relative to marine mammal management that integrate existing data streams within NOAA.Run editing and validation procedures to ensure high-quality data is being maintained and provided for advanced analysis or varied data users.Survey Coordination and CollaborationServe as the primary point of contact for Chief Scientist(s) to provide project planning, budget, and logistical support for ship and/or field surveys.Assist Project Investigators, MMTD, and Center Director in preparing ship time requests, justifications for requests, and evaluating potential funding and time allocation scenarios to achieve science and mission objectives.Oversee field survey equipment inventory, repair, maintenance, and storage, including working, as needed, operating the forklift and crane to prepare and load/unload equipment.Oversee and prepare survey equipment for loans nationally and internationally.Maintain and update our website, including posting newsworthy stories and field survey blogs, and sharing briefings and reports internally and externally.Reporting and PublicationDevelop written technical reports and peer-reviewed publications documenting the findings of projects and disseminate scientific results via presentations to diverse groups of stakeholders.Project-Specific MeetingsAttend planning and coordination meetings with MMTD researchers either virtually or in person.QualificationsMaster's degree in marine ecology, environmental science, oceanography, or related field, or an undergraduate degree with 1 year of relevant research experience.Working knowledge of marine mammal or marine species data collection and processing.Experience in managing complex data sets collected from varied surveys and observation platforms.Ability to work with other data managers to coordinate data processing effortsProficient technical writing skills to maintain adequate documentation of data processing protocolsExperience writing and editing technical reports describing data summaries and trends in miscellaneous scientific publications.Ability to lift/carry at least 40lbs and work outdoors for extended periods.Initial physical exam and/or periodic medical monitoring, including drug screening, may be required for sea-going roles Ability to pass a National Agency Check (NACI) and maintain it throughout the duration of employment.US Citizenship or legal permanent residence ("green card") is requiredThe role is contingent upon CSS winning the contract, please note it can take several months before we know whether this role will be filled.Location: Miami, FL, Beaufort, NC, or Pascagoula, MS (On Site)

Frontier Research AI Scientist. We are seeking a scientist with depth and breadth of knowledge of AI/ML algorithms, advanced statistical modeling and applied mathematics.

Job Description ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place. ABOUT THE ROLE • Own or contribute to the enterprise data inventory, including priority systems, data owners, business definitions, lineage, dependencies, and quality gaps., • Translate business processes and stakeholder needs into data requirements, source mappings, data models, quality rules, and measurable acceptance criteria., • Partner with Data Operations and Software Engineering to improve ingestion, transformation, integration, monitoring, governance, and lifecycle management., • Prepare and maintain enterprise data for agentic workflows by supporting semantic layers, knowledge bases, metadata, retrieval indexes, data contracts, access controls, and evaluation datasets., • Apply data science and analytical methods to develop reusable models, reports, dashboards, and decision-support products., • Monitor the reliability and usefulness of data products and agentic workflows, using quality findings and user feedback to drive continuous improvement., • Communicate data limitations, recommendations, and business impact clearly to technical and non-technical stakeholders. ABOUT YOU • Bachelor's or master's degree in data science, Statistics, Computer Science, Engineering, Business Analytics, Mathematics, or a related field., • 6+ years of experience in data science, enterprise data management, analytics engineering, data engineering, or a closely related discipline., • Strong proficiency in Python and SQL, with experience working with relational databases, data warehouses, and ETL/ELT processes., • Familiarity with cloud data platforms such as Snowflake or BigQuery, data modeling, data quality, and lineage concepts., • Understanding of machine learning and AI concepts, including large language models, natural language processing, retrieval-augmented generation, and intelligent agents., • Strong ability to connect business processes to data structures, analytical outputs, and practical implementation plans., • Clear written and verbal communication skills and the ability to work effectively across technical and business teams., • Experience with semantic layers, ontologies, metadata management, knowledge bases, embeddings, agent evaluation, Airflow or Luigi, Tableau, Metabase, Git, CI/CD, or cloud infrastructure is preferred. ABOUT THE WORK ENVIRONMENT This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WHAT MAKES HUT 8 A GREAT PLACE TO WORK Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality. At Hut 8, you will have the opportunity to: ▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting ▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government ▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team ▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job Description Company Overview: One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with a wide variety of flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses to new heights. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion. We know that our success hinges on our people, and we strive to enable them to do what they do best. Why Join Us? At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here's what you can expect when you join our team: • Innovative Environment: Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech., • Professional Growth: We invest in our employees' growth with continuous learning opportunities, training programs, and career advancement paths., • Supportive Culture: Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact., • Community Focus: Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation's financial health., • High-Performing Team: Join a team of badasses who are committed to excellence and are integral to our company's expansion and success. About the Role We are looking for a seasoned Senior Data Scientist to join our Analytics team to enable core business transformation. This role is about building and pressure-testing the models and proposals that drive how we price, approve, and grow, and doing it with the statistical and analytical rigor to prove they work before they ship. You will own a production system end to end, helping operate and evolve our proprietary risk-based pricing engine, the application that powers our real-time offer decisioning. You will work closely with business stakeholders to understand problems and propose & implement AI/ML solutions, and you will partner with DevOps, Product, and Engineering to take models from notebook to production. You will lead the charge in A/B testing within the organization and design experiments to prove success. You will perform EDA, identify modeling opportunities, feature engineer & ETL data, implement models and their monitoring, and highlight opportunities for change. We are an AI-forward company, and we expect our data scientists to work that way. We want someone who leans on modern AI and LLM tooling to make their own analysis, modeling, and experimentation faster and sharper, not someone who does things the slow, manual way. We want to work with high-performing badasses who will play an integral part in our transformation of the company. We understand one thing: it all comes down to working with creative & committed people and enabling them to do what they do best. Responsibilities • Utilize advanced statistical and machine learning techniques to analyze large datasets and build new AI/ML models., • Develop and pressure-test pricing and credit proposals end to end, with the statistical and analytical rigor to prove they will work before they ship. These won't always be models; sometimes the answer is a well-tested policy change., • Conduct exploratory data analysis, feature engineering, and data preprocessing to solve business problems., • Own, operate, and enhance our proprietary risk-based pricing engine (a production Python application), including its models, business logic, deployment, and monitoring., • Facilitate the deployment and monitoring of models for real-time and batch processing., • Own strong model governance: clear documentation and versioning, ongoing monitoring for drift and degradation, regular validation, and a defensible audit trail across the model lifecycle., • Partner with DevOps, Product, and Engineering teams to ship models and features to production, owning the rollout from staging to production, including CI/CD, monitoring, and rollback., • Perform model evaluation and validation on a regular basis to ensure robust performance., • Engineer A/B tests with scientific rigor. Gather test data and validate results to present to business stakeholders., • Use modern AI and LLM tooling to speed up your own work, from EDA and feature engineering to model prototyping, documentation, and testing., • Champion creative uses of existing data to solve business problems with intellectual curiosity., • Produce statistical and data analysis visuals (charts, infographics) to communicate findings clearly and effectively to a non-technical audience., • Collaborate with team members, product managers, and business stakeholders to identify opportunities for new and innovative AI/ML solutions., • Analysis areas could include Onboarding Credit, Ongoing Credit, Marketing segmentation, Voice-based analysis, Text mining, Sentiment analysis, Risk quantification, and Risk-based pricing. Requirements • 4-7 years of experience in Data Science and the Financial Industry, preferably in Credit or Lending., • Master's degree in mathematics, statistics, computer science, or data science., • Experience in transforming existing processes with AI/ML-based approaches., • Proficiency in data manipulation. Excellent SQL and Python skills for data wrangling and ETL., • Hands-on AWS / cloud experience deploying and operating production ML services (compute, storage, IAM, containerized deployment)., • Experience building or maintaining production applications and services, not just models in notebooks. You should be comfortable owning software in production., • Experience with dashboard tools such as PowerBI or other visualization tools., • Experience building credit or risk models for Financial Services, Lending, or Insurance., • Experience in validating models to identify ongoing improvements., • Rock Solid data science skillset: Exploratory Data Analysis, Feature Engineering, Fitting, Tuning, and Comparing models, and managing the model Lifecycle., • Experience with statistical modeling and data analysis using programming languages such as Python., • Experience in ML engineering, cloud-based deployment, and machine learning model lifecycle management., • Knowledge of best practices for financial and lending models (model risk management, model governance, and fair-lending considerations) is a big plus., • Comfort using modern AI and LLM tools to make your own analysis and modeling more efficient (a plus)., • Experience with dbt (major plus). Benefits • Competitive salary, • Local & National Health Insurance, • Dental and Vision insurance, • Group Medical Bridge, • 401k with Match, • ID Protection: 100% covered by the company, • Life Insurance: 100% covered by the company, • Generous PTO and holidays, • Growth and development opportunities, • Dynamic and collaborative work environment, • Company events and team-building activities

Role: Staff Data Scientist, Growth Analytics. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs. We are seeking a Staff Data Scien

You are a data engineer, a data scientist, and a general solutioner. You'll work shoulder-to-shoulder with mission heroes — the users, operators, and program engineers who run real workloads in real DoD environments — and you'll be the person who takes UDS Data Capability from "deployable" to "r

Knowledge of environmental laws and regulations is a plus. Conducting regulatory compliance reviews and interpreting environmental codes and regulations. Collecting and interpreting environmental sampling data, and providing field consultations as required.

Job Description CSS, Inc. is seeking a qualified candidate to support the Bioacoustics Science Program within the Marine Mammal & Turtle (MMTD) division of the Southeast Fisheries Science Center (SEFSC) to develop and manage key research projects for SEFSC's passive acoustics program to: collect and analyze passive acoustic data to address distribution, ecosystem ecology, and anthropogenic impact questions to support marine mammal stock assessments and protect multiple marine species and their habitats.The candidate will provide fieldwork and analytical services to manage current and future passive acoustic projects focused on multiple cetacean species to better understand their spatiotemporal distribution in core habitats and migratory routes for use in assessing and mitigating risks from human activities. The candidate will also conduct research to support management and conservation, including supporting research planning and execution, working with management counterparts, and supporting administrative needs.ResponsibilitiesGeneral Laboratory ManagementProvide general laboratory assistance including data archiving, computer maintenance, and construction and maintenance of acoustic hydrophone recorders (moored/drifting hydrophones, towed arrays) and associated oceanographic equipment.FieldworkParticipate in fieldwork on an as-needed basis, including driving government vehicles when necessary to complete tasks. Fieldwork will include deployment/retrieval of drifting and moored hydrophones, as well as deployment and real time monitoring of towed hydrophone arrays, sonobuoys, and/or gliders. Fieldwork may also include visual observation of anthropogenic and biological activities and assistance in oceanographic data collection.Analysis and Archiving of Acoustic DataAnalyze and interpret archived acoustic data to detect, localize, and classify biological and anthropogenic sound sources. The candidate will conduct advanced analysis to address the NOAA Fisheries Passive Acoustic Ecology Program research objectives, including leading/developing research ideas. The candidate will be responsible for uploading all metadata to the SEFSC's acoustic databases and servers, and for the maintenance of the deployment and detections databases.Participate in site-specific meetings Participate in periodic SEFSC, MMTD, and Passive Acoustic Ecology team meetings with the Program Leads, NOAA Fisheries staff, and Center leadership to exchange information and to stay informed.QualificationsPh.D from an accredited college or university in acoustics, fisheries, oceanography, natural science, mathematics, or another major directly related to the field of work10 years of experience in the related fieldsExperience analyzing anthropogenic noise in the marine environment using acoustic metadata databases and scientific bioacoustics software programs, such as Pamguard or Raven, to analyze cetacean sounds.Experience programming in MATLAB and/or R programming languages.Experience with building, maintaining, & repairing real-time acoustic hydrophones (e.g. towed hydrophone arrays, sonobuoys) and autonomous hydrophones (drifting and/or moored)Experience with the implementation of legislative mandates, such as the Marine Mammal Protection and Endangered Species Act for highly endangered marine mammal species, e.g., Rice's whales or North Atlantic right whales.Ability to lift/carry at least 40lbs and work outdoors for extended periods.Initial physical exam and/or periodic medical monitoring, including drug screening, may be required for sea-going rolesAbility to pass a National Agency Check (NACI) and maintain it throughout the duration of employment.US Citizenship or legal permanent residence ("green card") is requiredExperience in NOAA Fisheries cetacean bioacoustics research is preferred.The role is contingent upon CSS winning the contract, please note it can take several months before we know whether this role will be filled.

Our high-performing, customer-obsessed team runs on curiosity, communication, and accountability—working together to create exceptional experiences for our owners and guests.Whether solving big challenges, delivering outstanding results, or celebrating wins, we approach every day with purpose and

Collaborate closely with software engineering, product, detection engineering, and security engineering teams to embed algorithms and analytics directly into our platforms. Contribute to product, services, and detection engineering roadmap by identifying where data science and engineering investment

PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field, plus 3+ years of industry experience in machine learning and data science.

Translate complex analyses into clear narratives and recommendations for stakeholders, acting as a data storyteller who can influence decisions at all levels of the Safety and Moderation orgs. Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigatin

Job DescriptionPosition Overview The AI Implementation Coach helps client teams identify, adopt, and embed practical AI tools into their day-to-day marketing and sales workflows, coaching clients directly through selection, rollout, and change management. Key Responsibilities • Assess client workflows to identify high-value opportunities for AI tool adoption (content, CRM, reporting, customer service, etc.)., • Recommend, configure, and pilot AI tools appropriate to client size, budget, and technical maturity., • Coach client teams through adoption — training sessions, documentation, and troubleshooting — until tools are self-sustaining., • Stay current on the fast-moving AI tool landscape relevant to marketing and revenue operations., • Build repeatable playbooks and training materials the firm can reuse across the client portfolio.Required Qualifications, • 2+ years applying AI tools in a business or marketing context (not required to be an engineer or data scientist)., • Strong working knowledge of current generative AI and automation tools (e.g., ChatGPT/Claude, Zapier/Make, AI-native CRM features)., • Proven ability to teach and drive adoption of new tools with non-technical teams.Preferred Qualifications, • Change-management or training/facilitation background., • Experience building simple automations or integrations., • Consulting or agency experience across multiple client industries.What We Look For in Every Client-Facing Expert, • Think Bigger Mindset — approaches every client problem by asking 'what would 10x better look like?' rather than settling for marginal fixes., • Service-Minded — treats every client interaction as a chance to build trust; follows through without being chased., • Clear Communicator — translates technical or strategic detail into language a business owner can act on, in writing and live sessions., • Coach, Not Just Doer — comfortable teaching a client to run a process, not only running it for them.

Are you looking to join an organization that is growing and dynamic? What about a high-energy, collaborative environment that rewards hard work?.Held is a global consulting firm that combines technical, scientific, financial, and strategic expertise to advise clients seeking to realize value and mit

You’ll establish a strong understanding of the clinical problem, build a credible data and evaluation strategy, deliver models that perform reliably in practice, and help the team learn from real-world use. The best work here comes from people who can go deep technically, stay close to the clinica

Job Description Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission! A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape. Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees. Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission! A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape. Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees. This position will be responsible for performing non-research molecular testing of samples for potentially containing biological threat agents. Ensures incoming operational, QA, and other sample types are processed while maintaining chain of custody. Prepares reports, answers questions, troubleshoots, and makes recommendations to the supervisor for inclusion in comprehensive reports. Maintains and operates equipment properly and in a safe manner, including performing routine calibrations and adjustments. Performs all procedures in accordance with proper handling and storage of various materials. Additionally, will be responsible for maintaining knowledge and skills related to position and program. Laboratory operations are 7 days a week. Team members take turns with weekends and holidays to ensure results are reported each day. In the event of a public health emergency, extended work hours and alternative shift work may be required to maintain temporary emergency 24/7 operations. Kindly be aware that a pre-employment drug screening is a requirement. REQUIRED QUALIFICATIONS: Bachelor's degree from an accredited university in microbiology, molecular biology, or related course work in biological sciences. REQUIRES at least one year of laboratory bench experience, utilizing PCR, aseptic techniques and experience with biological assays. Laboratory training that is assigned or accompanies an associated course is not considered applicable training This position supports a federal contract which requires that all employees and job applicants hold a valid Green Card or US Citizenship at the time of application. Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process. For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call. Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one. A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.

Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders. Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field. Figma is growing our Finance Data Science team at a pivotal moment in the company'

Potential Responsibilities Future projects may involve: - Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and tech

We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language.You'll work on well-scoped empirical open-ended ML research problems.Responsibilities - Train image classifiers and generative image

SynergisticIT understands the complex nature of the job market and how difficult it can be to secure a position, especially for fresh graduates. Therefore, we assist and help tech-savvies to convert their passions into professions. We go above and beyond to keep you working in your niche. As we focus on long-term success, we provide complete career development solutions. From job search to upskilling portfolio and interview preparation, we can guide you at every step of your career. SynergisticIT spares no efforts to connect you with a large network of tech giants, including Google, Apple, PayPal, Dell, Cisco, Client, etc. Presently, we are actively looking for entry-level Java Developers with a driven mindset. Get the right opportunity and gain experience in building web-centric solutions on Java. Who Should Apply: Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking to make their career in IT Industry. We also assist in filing for STEM extension and H1b and Green card filing. Candidates who are serious about their future in the IT Industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill Enhancement Programs if the candidates are missing skills or experience which our clients need with great outcomes. Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement. Candidates who Lack Experience, Have had a break in careers, Lack Technical Competency, candidates who want to get employed and make a career in the Tech Industry. Required Skills For Java/Software Programmers: • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Knowledge of Core Java, javascript, C++ or software programming, • Spring boot, Microservices and REST API's experience, • Excellent written and verbal communication skills For data Science/Machine learning REQUIRED SKILLS • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Knowledge of Statistics, Python, data visualization tools, • Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, Time series analysis Technical skills are required by clients for selection even if its Junior or entry level position each additional Technical skill helps a candidate's resume to be picked by clients over other job seekers. Clients hire candidates with the right technical skills which they need and reject candidates who lack the required technical skills. No third party candidates or c2c candidates. Please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. Some of the clients where SynergisticIT-trained developers have been placed include: Google, Apple, Banking, visa, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo, Client, PayPal, eBay, Walmart, Telecommunication, and bank. At SynergisticIT, we've spent the last 15+ years helping new CS grads/career gap jobseekers/career transition jobseekers make their tech careers. We bridge the gap between your tech skills and the hands-on, employer-ready abilities tech companies demand. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data engineers/data scientists, machine learning engineers for full time positions with clients. All visa types and U.S. citizens are encouraged to apply. Ideal candidates: • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience, • Jobseekers who had layoffs due to downsizing and want to get in demand tech stack, • Professionals seeking a career switch to tech, • Candidates with career gaps or lacking real-world experience, • Individuals looking to boost their skill portfolio for better job prospects, • Computer Science grads with limited or no job experience, • Students who recently finished their Bachelor's or Master's programs, • Those struggling to land interviews despite having experience, • Candidates on F1/OPT needing a job for STEM extension or H-1B filing End-to-end job placement support we connect you with employers actively looking for entry-level talent. Our candidates have recently landed roles at Google, Visa, Client, Walmart, Mcdonald's, Apple, PayPal, Wayfair, Walgreens, Client and many more. Check below: • Candidate Success Outcomes, • Java Placement Program, • Data Science Program, • USA Today Coverage, • Interview Questions & Blogs, • Preview our culture in action at industry events Responsibilities: • Develop and maintain Java applications using Spring Boot, • Design and implement RESTful microservices for distributed systems, • Collaborate with DevOps teams to build and maintain CI/CD pipelines using Jenkins, Docker, and Kubernetes, • Debug, test, and optimize applications for performance and reliability, • Work in Agile/Scrum environments to meet client delivery standards, • Partner with cross-functional teams to ensure timely delivery of client requirements Required qualifications: • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience), • Strong understanding of Core Java, OOP concepts, and data structures, • Familiarity with Spring Boot, REST APIs, and SQL, • Exposure to DevOps tools (Git, Jenkins, Docker, Kubernetes), • Excellent problem-solving and communication skills Client requirements: • Real-world project experience: Hands-on exposure to enterprise-level applications beyond academic coursework., • U.S. work experience: Familiarity with U.S. client expectations, delivery standards, and collaborative team environments. Competitive edge with SynergisticIT: • SynergisticIT has built relationships with thousands of tech clients across the U.S., giving candidates a competitive edge over other jobseekers by securing more interviews and better job offers., • Candidates completing the program typically receive job offers ranging from $95,000 to $150,000 annually, depending on skills, location, and client requirements. If you're ready to launch your career as a developer or data scientist but feel you're missing some skills or experience, SynergisticIT can bridge that gap. With over a decade of proven success, strong client partnerships, and a focus on real-world readiness, SynergisticIT can help you land your first role in tech.

SynergisticIT is aware that the job market is challenging due to tech layoffs, which has led to a flood of laid off jobseekers competing with existing jobseekers. For entry level job seekers to get client interviews and jobs, they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010, we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT, we don't just focus on getting you a job; we make careers. All positions are open for all visas and US citizens. We understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Visa, Walmart Labs etc. to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1B and green card filing to candidates. We also offer skill enhancement programs for candidates who are either missing skills or are lacking industry/client experience with projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then no need for skill enhancement. Candidates can benefit from skill enhancement if they fall into the below categories: • Candidates who lack experience or are freshers with no actual on job experience with projects with clients, • Candidates who have had a break in careers, • Candidates who lack technical competency or skills being demanded by clients, • Different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA Watch the below videos of us participating at industry events with the top companies in technology at Oracle Cloud World/Oracle Java One (Las Vegas) and at Gartner Data Analytics Summit (Florida) Oracle CloudWorld Event (OCW) Las Vegas 2022 | SynergisticIT - YouTube https://www.youtube.com/watch?v=OAFOhcGy9Z8 https://www.youtube.com/watch?v=EmO7NrWHkLM https://www.youtube.com/watch?v=NVBU9RYZ6UI SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube https://www.youtube.com/watch?v=Yy74yvjatVg https://www.synergisticit.com/java-track/ https://www.synergisticit.com/data-science-track/ https://www.synergisticit.com/contact-us/ If you have relevant skills and industry experience, please apply. If not, then candidates can opt for skill enhancement. For getting help with interviews please visit https://www.synergisticit.com/interview-questions/ Required skills for Java/Software Programmers: • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Project work on the skills, • Knowledge of Core Java, JavaScript, C++, or software programming, • Spring boot, Microservices, Docker, Jenkins, and REST API's experience, • Excellent written and verbal communication skills Required skills for data science/machine learning: • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, • Project work on the technologies needed, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools, • Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis Please understand skills and relevant experience on real world projects are required by clients for selection even if it's a junior or entry level position. The additional skills and project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates Please only apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

Synergisticit wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need. Position open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Visa, Walmart Labs etc to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who should apply: Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. Candidates who are serious about their future in the IT industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes. Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement. Candidates who lack experience, have had a break in careers, lack technical competency, different visa candidates who want to get employed and settle down in the USA. Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit If not a match candidates can opt for skill enhancement. • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Knowledge of Core Java, JavaScript, C++ or software programming, • Spring boot, microservices and REST API's experience, • Excellent written and verbal communication skills, • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Knowledge of statistics, Python, data visualization tools, • Excellent written and verbal communication skills Preferred skills: NLP, text mining, Tableau, time series analysis Please understand skills are required by clients for selection even if it's a junior or entry level position the additional skills are the only way a candidate can be picked by clients. No third party candidates or c2c candidates. Please understand skills are required by clients for selection even if it's a junior or entry level position the additional skills are the only way a candidate can be picked by clients. Please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

Data ScientistThe Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide and mentor your team as you oversee the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Join us. The world can’t wait. You Have:Experience leading AI/ML analytics programsExperience developing, deploying, and managing enterprise-scale data science and predictive analytics solutionsExperience with data-driven decision support and mission-focused analyticsExperience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teamsExperience building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learnExperience working with cloud-based data environments such as AWS, Azure, or DatabricksTS/SCI clearanceMaster’s degree in Data Science, AI, CS, or Statistics and 8+ years of experience leading AI/ML analytics programs, or 11+ years of experience leading AI/ML analytics programs in lieu of degreeNice If You Have:Experience as a data scientist supporting DoW or IC missionsAWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional CertificationClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;TS/SCI clearance is required.CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity StatementAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work ModelOur people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.SummaryLocation: Doral, FLType: Full time

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectorsfrom fraud detection to cancer research to national intelligencewe need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Join us. The world can't wait. You Have: • Experience in research question tracking, metadata governance, data discoverability, and report dissemination, • Experience structuring research inquiries and developing tagging and classification schemes, • Experience integrating research products into structured dashboards, • Experience using Databricks Unity Catalog, OpenLineage, and ESRI metadata APIs, • Knowledge of DoW and IC tradecraft standards, • TS/SCI clearance, • HS diploma or GED Nice If You Have: • Experience working in DoW and IC organizations, • Bachelor's degree in Data Science Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility., • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility., • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Diagnostic Laboratory of Oklahoma-Miami, OK Fri-Sun 6PM-6AM Main Duties: Perform tests in chemistry, hematology, urinalysis, coag, serology, blood bank and limited microbiology. Assist with phlebotomy and specimen processing. Follow employee policies, work with fellow employees in a professional productive manner; perform instrument maintenance and troubleshooting. Required Knowledge: General laboratory knowledge, including the use of computers; knowledge of QA and QC as well as knowledge of all areas of the laboratory. Required Experience: A.A.S, Medical laboratory technology; BS Medical technology Special Requirements: Must have the ability to maintain a professional attitude at all times. Must be available for scheduled vacation and emergency coverage as needed. Must be available to rotate weekend shifts. Physical and Mental Requirements: • The normal performance of duties may require lifting and carrying objects: Objects 1 to 10 pounds are lifted and carried frequently; objects 11 to 25 pounds are lifted and carried occasionally; objects 36 to 50 pounds are seldom lifted or carried and objects over 50 pounds are not to be lifted or carried without assistance., • Ability to stand and work at the bench for long periods of time., • Frequent walking and/or standing., • May be required to use a wide variety of manual and automated pipettes and laboratory instruments and apparatuses all of which demand significant manual dexterity. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

About OpendoorAt Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.About the RoleWe’re looking for an Applied Scientist to work on some of the hardest quantitative problems at Opendoor. This role will focus primarily on structural modeling, econometrics, optimization, and decision-making under uncertainty, with applications spanning pricing, resale strategy, demand modeling, and risk management.This role will contribute to our broader valuation and pricing ecosystem and we’re looking for someone who can combine strong modeling intuition with hands-on execution and strong engineering to build practical solutions for a low-margin, high-stakes business where small improvements can have an outsized impact.You’ll work on problems like modeling post-listing demand, estimating price elasticity, designing experiments, building structural models, and developing optimizers that help us make better decisions across our products and inventory.We’re a small, nimble team, so there’s ample opportunity to shape both the modeling direction and how these systems get used in production decision-making.What You'll NeedExperience developing quantitative models to support real-world decision-making under uncertaintyStrong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific codeExperience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimizationComfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approachesAdvanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative disciplineStrong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearlyNice to HaveExperience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modelingBackground in real estate, housing, finance, or adjacent marketplace domainsFamiliarity with distributed data processing tools such as PysparkExperience with machine learning methods broadly, including where deep learning can complement structured statistical modelingExperience working with large language models (LLMs) or vision-language models (VLMs)What You'll DoBuild models that help Opendoor make better decisions around pricing, resale strategy, and portfolio riskDevelop demand and conversion models using both pre-listing and post-listing signalsDesign and improve optimization frameworks that balance objectives like margin, conversion, and riskApply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enoughDesign experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offsPartner with Engineering, Product, and Operations to turn models into systems that influence real decisionsBring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific componentCompensationThe base pay range for this position is $156,800-$335,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.#LI-RO

Field Applications Scientist – Cell HealthBeckman Coulter Life Sciences’ mission is to empower those seeking answers to life’s most important scientific and healthcare questions. With a legacy spanning 80+ years, we have long been a trusted partner to our customers, who are working to transform science and healthcare with the next groundbreaking discovery. As part of our team of more than 2,900 associates across 130 countries, you’ll help drive our vision of accelerating answers—and our commitment to excellence.Beckman Coulter Life Sciences is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.About this roleWe are seeking a Field Applications Specialist to serve as the primary scientific and applications expert for our cell analysis and bioprocess analytics portfolio across the Eastern United States. This is a field-based, customer-facing role in which you will be the trusted scientific voice for customers in biopharma, cell line development, and process development—partnering closely with the Sales team while guiding customers to get the most reliable, reproducible results from their workflows.At its core, this role is about scientific problem-solving. Every customer arrives with a different system—different cell types, different molecules, different objectives—and your job is to understand that system, identify the factors driving variability, and optimize a solution that works for them. Success depends as much on your ability to communicate complex science clearly, to audiences ranging from bench scientists to senior leadership, as on your technical depth. This is a remote role and can be performed from any location within the Eastern U.S. territory.In this role, you will be responsible for:Serving as the primary applications and scientific resource for customers — Solve challenges and get the most from their instruments and assays, understand the customer’s specific cell types, samples, and goals; diagnosing the many sample- and instrument-level factors that can lead to variable or inconsistent results; and optimizing the workflow to deliver accurate, reproducible outcomes.Supporting antibody and protein quantification applications by understanding customers’ specific molecules—including antibody structure and conformation—and how those characteristics can influence results, then guiding customers toward reliable, optimized measurements.Delivering product demonstrations, on-site trainings, and applications support, both in the field and via web-based platforms.Working cross-functionally as the connective point between the customer and the wider organization: knowing who to engage and when, and collaborating across Sales, Product Management, and R&D to resolve issues and advance opportunities.Capturing Voice of Customer from the field and relaying it to Product Management and R&D, helping to shape future product iterations and ensure the portfolio continues to perform and hold up over time.The required qualifications for the job include:Bachelor’s degree in Biology, Molecular Biology, Cell Biology, Biotechnology, Bioengineering, or a related life science; advanced degree (M.S. or Ph.D.) a plus.Minimum 5 years of relevant life sciences experience in a field applications, technical support, or laboratory/bioprocess environment; a combination of hands-on lab experience with customer-facing experience is ideal.Hands-on mammalian cell culture experience, preferably including fed-batch culture and the maintenance, counting, and viability assessment of mammalian cell lines (e.g., CHO, HEK).Working knowledge of cell counting and viability analysis, including the sample- and instrument-level factors that can drive variability, and the ability to troubleshoot and optimize across diverse cell types.Willingness and ability to travel throughout the Eastern U.S. territory (up to 85%), with a valid driver’s license and the ability to work independently from a home office.It would be a plus if you also possess:Cell line development (CLD) experience and hands-on familiarity with antibody / monoclonal (IgG) production — highly desired for supporting bioprocess and titer-related applications.An understanding of antibody structure and conformation and how a molecule’s characteristics can affect its quantification and behavior in an assay.Process development or drug manufacturing experience in a biopharma/biotech setting (e.g., upstream/bioreactor, scale-up/scale-down, or GMP environments).Hands-on experience with multimode microplate readers, particularly those with fluorescence polarization (FP) detection capability.Understanding of B2B and QC/QA/R&D customer requirements and of validation processes in the pharma/biopharma industry (e.g., GMP, IQ, OQ).Travel, Motor Vehicle Record & Physical/Environment Requirements:Ability to travel within a defined territory, with an expectation of ~3 days per week in the field engaging customers. This role requires frequent local travel to maximize account coverage and engagement; overnight travel is minimal.Must have valid driver’s license with an acceptable driving recordThe field sales activity will take this individual to customer’s locations and moderate physical activity (e.g. lifting/carrying of materials) occursBeckman Coulter Life Sciences, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.At Beckman Coulter Life Sciences we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Beckman Coulter Life Sciences can provide.The base salary range for this role is $95,000 – $125,000. This role is also eligible for Sales Incentive Compensation (SIC). The total target compensation at plan (base + SIC) is $95,000 – $155,000 annually. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.#LI-TJ1Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here.For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here.We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.Job SummaryJob number: R1315834Date posted : 2026-08-26Profession: SalesEmployment type: Full time

The application window is expected to close on: 07/31/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data — including logs, time series, traces, and events! We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco’s global engineering capabilities. Our work spans networking, security, observability, and customer experience — designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You’ll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration — all within a flexible, growth‑oriented environment!Your Impact Contribute to the research, design, and development of large-scale foundation models for machine-generated data, with a primary focus on graph data and additional support for logs, time series, traces, and event modalities. Develop and enhance distributed training and inference workflows, leveraging data-driven approaches to improve model quality, scalability, and operational efficiency. Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs. Share emerging ideas, technical insights, and best practices with teammates, contributing to technical discussions and helping advance team capabilities and project outcomes. Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations to improve workflows, solve technical challenges, and support the team’s roadmap and objectives. Take ownership of assigned projects and deliver high-quality results with urgency, while proactively identifying obstacles, driving resolution of technical issues, and continuously improving development processes. Minimum Qualifications: Master Degree in Computer Science, or related quantitative field, plus 2+ years of industry research experience. 1+ year of experience in at least one of the following areas: Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE, heterogeneous GNNs, graph transformers), large language modeling for structured and unstructured data, multi-modal fusion of graph, text, log, and time-series data. 2+ years of experience in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) 1+ year experience translating research ideas into production systems. Preferred Qualifications: Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented modeling. Expertise in constructing and operating on large-scale graphs (entity graphs, service dependency graphs, topology graphs, causal graphs, or log-event graphs). Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. Advanced Anomaly Detection with Graph: Track record developing hybrid graph-temporal approaches (e.g., GNN + Transformer, graph contrastive learning, dynamic graph forecasting) for detecting anomalies in high-volume operational data.Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series, graphs, operational telemetry, or enterprise knowledge, including representation learning across structured and unstructured modalities. Large‑Scale Training & Optimization – Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. MLOps & Continuous Learning – Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. Strong Research Track Record – Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. 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 $168,000.00 to $212,400.00 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 employees1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by CiscoNon-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 employeesExempt 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 nextAdditional paid time away may be requested to deal with critical or emergency issues for family membersOptional 10 paid days per full calendar year to volunteerFor 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%; andOnce 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:$184,000.00 - $274,600.00Non-Metro New York state & Washington state:$168,000.00 - $244,300.00* 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.Job SummaryJob number: 2018334Date posted : 2026-08-11Profession: OtherEmployment type: Full time

Job DescriptionBiology Research Scientist Job Type: Contractor Location: Remote Hours: 10–20 hours/week Duration: 1–2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced Biology Research Scientists to support a project focused on validating protein target assignments against primary scientific sources and UniProt records. You will review research papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based scientific reasoning. Key Responsibilities • Review primary research papers and patents to verify protein target assignments., • Compare target assignments against UniProt and identify discrepancies., • Classify target assignment errors using a structured taxonomy., • Propose accurate UniProt accessions where assignments are incorrect., • Document clear, concise, evidence-grounded reasoning for each determination., • Apply expertise in pharmacology, biochemistry, molecular biology, or chemical biology to evaluate target relationships.Required Skills, • Protein Target Identification, • UniProt, • Primary Literature Review, • Protein Biochemistry, • Molecular Biology, • Pharmacology, • Binding & Functional Assays, • Scientific Data Interpretation, • Evidence-Based Reasoning, • Technical DocumentationQualifications, • BA/BS + 5 years, MS + 2 years, or PhD with relevant industry/drug discovery experience., • Background in pharmacology, biochemistry, molecular biology, or chemical biology within biotech, pharma, or CRO environments., • Hands-on experience with assays such as SPR, TR-FRET, radioligand binding, kinase assays, or GPCR functional assays., • Experience interpreting IC50, Ki, and Kd data., • Currently active in a bench-based research, scientist, or associate scientist role., • Working knowledge of UniProt or related workflows such as SAR, HTS, target validation, biochemical profiling, or IND-enabling studies.Nice to Have, • Experience with ChEMBL, BindingDB, or PubChem., • Selectivity profiling or counterscreening experience., • Understanding of agonist/antagonist vs. activator/inhibitor distinctions.Screening Questions, • What is your highest relevant degree and how many years of industry research experience do you have?, • What is your experience with protein target identification and UniProt?, • Which binding or functional assays have you performed hands-on?, • Do you have experience interpreting IC50, Ki, or Kd data?, • Have you worked with ChEMBL, BindingDB, or PubChem?, • Are you currently bench-active in a research or scientist role?, • Are you available for 10–20 hours per week with an immediate start?

Job Description About Guy Harvey Guy Harvey is a world-renowned artist, scientist, angler, conservationist, explorer and author who has built a global lifestyle brand. It is a leading brand in the outdoor apparel industry, committed to equipping adventurers with high-quality, sustainable, and innovative gear. We are passionate about the outdoors, and our products are designed to enhance performance, durability, and style in any environment. Intradeco serves as the exclusive apparel and headwear Licensee and as we continue to expand our market presence, we are looking for a dynamic Sales Manager to join the team and help expand our distribution into the southeast with new and existing customers. About Intradeco Apparel Founded in 1982 and with deep roots in the textile industry since 1921, Intradeco has grown into a global vertical manufacturing company, supplying quality casual clothing and thermal underwear to major retailers in the United States, Mexico, and Canada. At Intradeco, we provide a holistic approach to apparel manufacturing, encompassing all stages from ideation phase to final product distribution. Our vertical integration, combined with our lean manufacturing capability, allows us to respond quickly to market demands, handle direct-to-store and replenishment programs, and offer unique flexibility to our customers. Our Team We are dedicated to our mission and passionate about collaboration, moving quickly, and breaking down barriers, leveraging technology, eliminating bureaucracy, and constantly striving to evolve. Our cultural foundation is built on trust, teamwork, quality, sustainability, and integrity. This is a full-time, on-site hybrid position in Miami HQ Office. Who we are looking for: We are seeking a Wholesale Dealer Success Representative who will play a vital role in supporting wholesale dealer accounts, delivering exceptional customer service, and assisting the sales and sourcing teams in driving operational excellence. This position serves as the primary liaison between customers and the specialty store channel sales team. The ideal candidate is customer focused, highly organized, detail-oriented, a problem solver, and capable of managing multiple priorities in a fast-paced wholesale apparel environment. Experience in retail, wholesale distribution, or customer service environments is highly preferred. What you will do: • Serve as the primary point of contact for wholesale specialty store accounts, independent sales representatives and internal sales leadership., • Provide prompt, professional, and solutions-oriented support regarding orders, inventory availability, pricing, shipping status, returns, and claims., • Run daily open order/allocation reports in SAP to ensure all orders are credit cleared and confirm fill rate and unit allocations., • Resolve customer concerns efficiently while maintaining a high level of customer satisfaction. Build long-term relationships with dealers through exceptional communication and follow-through., • Communicate updates regarding backorders, cancellations, substitutions, inventory changes and delivery timing., • Maintain accurate account information, order history, and communication records. Sales Support & Account Coordination: • Support the sales team with account management, order entry, product availability, and dealer follow-up., • Assist with pre-book orders, at-once inventory, and promotional initiatives- while ensuring accuracy and timely processing., • Collaborate with sales representatives to support account growth initiatives and dealer retention., • Provide sales reps with price sheet, product information and account documentation., • Help identify opportunities to improve dealer experience and support account growth initiatives., • Support onboarding of new wholesale accounts and vendor setup processes., • Support sales growth through operational excellence and proactive account support. Wholesale Contracts & Order Management: • Review/monitor daily open order report to ensure any late or at-risk deliveries are handled promptly., • Recommend replacement styles when items are cancelled, out of stock or unavailable upon order entry., • Manage orders from receipt through fulfillment, ensuring pricing, terms, ship dates, credit approvals, quantities and account details are correct., • Process seasonal batch contracts within the GTM required dates., • Partner with OP Team to resolve order discrepancies, inventory shortages, allocation issues and shipping questions., • B2B Customer/Data Maintenance accuracy. Operational Coordination & Cross-Functional Support: • Partner with sourcing and production teams to communicate dealer needs, timelines, and product requirements., • Assist with monitoring inventory availability, production status, and fulfillment schedules., • Coordinate cross-functionally with logistics, sourcing, production, finance, and sales teams to ensure operational alignment., • Help Identify process improvement opportunities to enhance customer satisfaction and operational efficiency., • Maintain accuracy and efficiency across contracts, orders and dealer support functions. Who you are: • Bachelor’s degree preferred or equivalent industry experience., • 3-5 years of experience in customer service, wholesale apparel, sales support, dealer services, or account coordination., • Strong understanding of wholesale operations and customer relationship management, and working with specialty retail accounts., • Experience handling contracts, pricing documentation, or dealer agreements., • Proficiency in Microsoft Office Suite, particularly Excel and Outlook., • Experience with ERP and CRM (B2B) systems preferred., • Exceptional written and verbal communication skills and strong problem-solving abilities., • Core competencies: Customer first mentality, relationship builder, build trust and loyalty with dealers through responsiveness and professionalism, problem solving and conflict resolution, cross functional collaborator, attention to detail, excellent communication and follow through. What We Offer: • Competitive Pay – We believe in rewarding success and showing our employees just how much they’re valued in a variety of different ways, including compensation., • Health and Wellness – There’s nothing basic about our comprehensive health and wellness programs and offerings. While at work and t play, we aim to support a healthy lifestyle., • Time away from work – Sometimes we need time away to be with family, enjoy our hobbies, focus on our health or just simply recharge. We are committed to helping out employees create a work-life harmony!, • Growth and Development – We are constantly seeking to offer opportunities and support for personal and professional development., • Financial planning and wellbeing – No matter what financial goals our employees have set, we want to help them get there. We offer access to benefits, programs and education to help our employees to protect income, pay for expenses and invest in the future. Including a generous 401(k) match! 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Job Description POSITION SUMMARY Service Technician capable of inspecting, removing, installing, troubleshooting, repairing and maintaining our client’s fueling facilities (vehicular, emergency generator, boilers, etc.). ESSENTIAL FUNCTIONS Reasonable Accommodations Statement To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. Essential Functions: • Perform on-site maintenance at our client’s fueling facilities throughout South Florida regularly; Occasional travel to remote sites to assist Project Personnel., • Assist in the diagnosis, analysis, and resolution of fuel/petroleum equipment problems., • Perform fuel facility/systems monthly/annual/pre-regulatory inspections and diagnosis on regular schedules. Self-schedule much of your own activities in coordination with the Service Project Manager., • Maintain a high level of customer satisfaction, with an excellent work ethic, neat appearance, and good communication skills., • Keep customers informed of job progress, parts availability, cost estimates, and job completion. Contracts may require rapid response (less than 4 hours), 24 hours a day, 7 days a week., • Read, write, and speak English with exceptional analytical and communication skills;, • Coordinate all required inspections with the site Foreman and maintain good working relationships with inspectors., • Reviews, analyzes, and updates Labor Hours/Job Costs Report information with project management regularly., • Assist Project Managers with schedule preparation., • Keep proper and complete documentation of the project., • Responsible for the care and maintenance of a stock of tools and fuel equipment inventory., • Attend required training with Fuel and Electrical control systems. Participation in company-provided training., • Ensure accurate and complete cost coding of all time cards and Work Orders on a daily basis. Review, sign off, and forward time cards to the corporate office as required., • Ensure efficient project closeout, including completion of all punch list work, owner training and instruction, transfer of spare parts, final cleanup, demobilization, and project records archiving., • Enforce and implement the dictates and recommendations of the EHS department., • Complete all documentation required in the Corporate Health and Safety plan. Environmental • Assist the Environmental Scientist in the performance of sampling., • Set up of sampling and monitoring equipment – this includes calibration of field equipment, • Maintenance of equipment (cleaning and repair), • Conduct or assist with environmental sampling - may include groundwater, surface water, or soil, • Complete field logs with all required information, • Set up field screening equipment/instruments (OVA Meter, GPS Trimble Unit, etc.), collect field data, and document readings, • Read and interpret field/site maps, document site conditions/changes, • Document field activities with daily reports and pictures, • Properly pack samples and coordinate the delivery of samples to the laboratory, • Operate remediation/dewatering systems, maintain components (pumps, etc.), collect necessary samples for screening POSITION QUALIFICATIONS Competencies: • Strong background or equivalent training in heavy mechanics, hydraulics, and electrical systems., • Strong diagnosis, repair, and testing abilities., • Ability to interact with others, including customers and colleagues, professionally and courteously., • Demonstrate high standards for appearance, safety, and professionalism., • Ability to build rapport with clients and identify, define, and solve problems and satisfy customer needs., • Ability to lead without constant supervision and be a self-starter., • Strong Multi-tasking skills., • Attention to detail., • Must be a team player. SKILLS & ABILITIES Education: • High school graduation or equivalent required., • Trade School or Apprentice program strong plus. Experience: • Minimum 3 years of previous experience in this position. Computer Skills: • Must have familiarity with computer operations and an aptitude for learning computer skills., • Complete Daily reports / JSAs / Toolbox meetings, • Ability to send and receive email., • Ability to complete online time reporting, including preparation of Certified Payroll sign-in., • Submit Project Photos on a scheduled basis., • Ability to complete online training Certificates & Licenses: • Currently or ability to obtain:, • NCCER accreditation desired, • OSHA 40-HOUR HAZWOPER, • OSHA 30-HOUR CONSTRUCTION, • Veeder Root Certification, • Pneumercator Certification, • Fuelmaster Certification, • Red Jacket Certification, • Others as the Market dictates Other Requirements: • Driver’s License, • Competent Person lockout/Tagout, Confined space and trenching, and excavation procedures in a safe manner., • Identify safety hazards you or other employees may be subject to and take all necessary corrective action to eliminate or minimize hazards PHYSICAL DEMANDS • Hearing and vision within normal ranges are essential for normal conversations, to receive ordinary information, and prepare, inspect, or review documents., • Frequent walking and climbing (stairs, ladders, terrain), • Frequent lifting (up to and including 50 pounds), • Frequent bending, twisting, and standing, • Exposure to working outdoors in all-weather conditions, • Ability to work more than 40 hours in any given week, including weekend assignments as required Other Physical Requirements: Must wear steel-toed boots, must wear protective eye-wear, hearing protection, may work outdoors during inclement weather, ability to travel by car or plane, high frequency of computer keyboarding, high frequency of viewing a computer monitor, etc. WORK ENVIRONMENT Work is performed in outdoor settings and industrial settings, in all weather conditions, including temperature extremes, during day and night shifts. Work is often performed in emergency and stressful situations. This job description is subject to change at any time.

Job Description Job description Company Description Dealer Automation Technologies is a leading Information Technology Services company that provides Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to redefine dealership operations. With a focus on intuitive user experiences and cutting-edge technologies, Dealer Automation Technologies is paving the way for innovation in the sector. Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the company operates without dependence on legacy systems, fostering a dynamic and innovative work culture. Role Description This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate processes and drive innovation in our products. The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI driven solutions. Other primary responsibilities include designing and implementing machine learning models, particularly in natural language processing and large language models, building scalable algorithms, conducting research on neural networks, and evaluating model performance. Additionally, the engineer will collaborate with cross-functional teams to ensure seamless integration of AI/ML components into the company’s software offerings. Major Areas of Responsibility • Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features., • Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals., • Collaborate with product managers, data scientist, and software engineers to integrate LLM-based automation into scalable solutions., • Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses., • Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation., • Work on the customization and fine-tunning of models to optimize performance for specific use cases., • Develop, test, and deploy LLM-based services in production environments., • Provide AI/ML technical leadership and mentorship to other engineers on the team., • Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.