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Bioinformatics Support II – Molecular Virology & Surveillance A government contract requires that this position be restricted to U.S. citizens or legal permanent residents. You must provide documentation that you are a U.S. citizen or legal permanent resident to qualify. * An active NACI clearance or the ability to obtain a NACI clearance is required for consideration. * The Bioinformatics Support II role provides advanced scientific and analytical support to CDC genomic surveillance programs. This position serves as a bridge between laboratory science and computational analysis, supporting interpretation of sequencing and molecular data to inform public health decision-making. Compensation & Benefits: Pay commensurate with experience. Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice. Bioinformatics Support II – Molecular Virology & Surveillance Responsibilities Include: Scientific & Analytical Support • Interpret sequencing and molecular data (PCR, dPCR, metagenomics), • Provide biological context to genomic surveillance outputs, • Identify variants, mutations, and signals of public health relevance, • Familiarity with sequencing outputs (e.g., variant calls, lineage assignments, coverage metrics) Collaboration & Coordination • Partner with laboratory teams and bioinformaticians, • Support coordination with external labs and partners, • Translate lab outputs into actionable insights, • Experience working with cross-functional teams in public health or research environments Program Support • Contribute to reports, briefings, and technical documentation, • Support pilot studies and surveillance enhancements Bioinformatics Support II – Molecular Virology & Surveillance Experience, Education, Skills, Abilities requested: • Master’s or PhD in Bioinformatics, Microbiology, or related field, • Experience with sequencing workflows and molecular data, • Familiarity with environmental or wastewater datasets, • Strong communication and analytical skills, • Ability to work independently and resolve problems without constant supervision, • Excellent written and verbal communication skills, • Advanced proficiency in Microsoft Office (Outlook, Word, Excel, PowerPoint), • Must pass the pre-employment qualifications of Cherokee Federal Company Information: Cherokee Nation Integrated Health (CNIH) is a part of Cherokee Federal – the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government’s mission with compassion and heart. To learn more about CNIH, visit cherokee-federal.com. #LI-SH1 Cherokee Federal is a military-friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply. Similar Job Titles • Molecular Bioinformatics Scientist, • Genomic Surveillance Analyst, • Computational Biologist Keywords: • Genomic Surveillance, • Molecular Virology, • PCR, • Sequencing, • Public Health Analytics Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law. Many of our job openings require access to government buildings or military installations.

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper, and consumers to live well. This position is in our Food Enterprise where we are committed to serving food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate. The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal supervision, this role extracts and integrates complex data from various sources, builds advanced models suitable for the business use case and evaluates model performance for accuracy, scaling and deployment. This job also develops compelling and clear communication materials to facilitate partner on board. By leveraging diverse and expansive data sources, this role applies advanced forecasting, optimization, and machine learning techniques to transform how decisions are made across the supply chain. The Senior Professional accelerates AI adoption by partnering with business and technology teams. They work to embed models into core workflows, operationalizing data science to deliver sustained business impact. • DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies., • DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas., • MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights., • AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications. ., • DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing., • COMMUNICATION: Presents techniques and results to technical and non-technical audiences., • CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles, theories, and techniques to develop and deploy artificial intelligence models into production, improving the organization's analytical capabilities., • STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications., • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications: • Master’s degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research, or a related field., • Deep experience leading the design, deployment, and scaling of applied AI/ML solutions that drive measurable business impact across complex value chains., • Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including model governance, performance monitoring, and lifecycle ownership., • Recognized depth in forecasting and optimization, with a track record of influencing enterprise‑level decisions in pricing & commercial. #HiPo This role is not eligible for employer-sponsored work authorization now or in the future. This includes candidates whose work authorization is tied to a student visa, employer-sponsored visa, visa transfer, immigration petition, or other third-party sponsorship arrangement. The expected salary for this position is $105,000 - $160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: _ to learn more (subject to certain collective bargaining agreements for Union positions). Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. Equal Opportunity Employer, including Disability/Vet To apply using chat/text, please click Apply Now button OR use _ to create a login to apply.

Job Description Job Description: 4P Consulting Inc. is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology. Key Responsibilities: • Data Collection: Gather and collect large datasets from multiple sources, including APIs, databases, and external providers., • Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers., • Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data characteristics and patterns., • Feature Engineering: Develop features from raw data to enhance machine learning models., • Machine Learning Modeling: Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations., • Model Evaluation: Assess and fine-tune models using relevant evaluation metrics for optimal performance., • Data Visualization: Create clear, insightful visualizations and reports to present findings to non-technical stakeholders., • Predictive Analytics: Utilize statistical and machine learning techniques to predict trends and future outcomes., • Statistical Analysis: Apply statistical methods to test hypotheses and analyze data., • A/B Testing: Design and execute A/B tests to evaluate changes and improvements., • Data Integration: Integrate data science solutions into existing workflows and software systems., • Data Security: Ensure data privacy by implementing appropriate security measures., • Documentation: Maintain clear documentation of processes, models, and findings., • Continuous Learning: Stay current on developments in data science and machine learning. Qualifications: • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred)., • Programming Skills: Proficiency in Python or R., • Data Tools: Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch)., • Database Knowledge: Strong understanding of SQL and relational databases., • Statistical Skills: Expertise in statistical analysis techniques., • Machine Learning: Deep knowledge of machine learning algorithms and techniques., • Data Visualization: Proficient in tools like Matplotlib, Seaborn, or Tableau., • Problem-Solving: Strong analytical and problem-solving skills., • Communication: Ability to clearly explain complex findings to non-technical audiences., • Collaboration: Experience working within cross-functional teams., • Domain Knowledge: Relevant industry experience (e.g., healthcare, finance) may be required., • Ethical Considerations: Knowledge of ethical data analysis practices, including privacy and bias concerns. Benefits: • Competitive salary, • Opportunities for career growth and development, • Health and wellness benefits, • Collaborative and dynamic work environment How to Apply: Please submit your resume and a cover letter to info@4pconsultinginc.com detailing your experience and why you’d be a great fit for the Data Scientist role.

Job DescriptionCareer Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stackSpark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

Job Description5-10 Years This role is for someone with advanced data analysis skills and a firm grasp of the scientific method. Must be proficient in statistics and at least one programming language (typically R or Python). Responsibilities include data wrangling, data analysis, and data exploration. Should be familiar with a variety of Machine Learning algorithms and big data processing frameworks. In addition to building machine learning and other statistical models, will be expected to create data visualizations.

Job DescriptionJob Title: Data Scientist-GCP Client: TBD Work Time Zone: EST Rate: $58/hour on 1099/C2C Location: Atlanta, GA ( Hybrid – 3 days on-site) We are looking for an experienced and forward-thinking Data Scientist to join our Data, Analytics, and Data Products team. The ideal candidate will have strong hands-on experience using Google Cloud Platform (GCP) tools—especially Vertex AI and Gemini—to deliver high-impact machine learning, statistical analysis, and generative AI solutions. This role plays a key part in optimizing decision-making and operational strategies across our core business functions. Core Responsibilities • Data Analysis & Exploration, • Analyze and explore large, complex datasets using BigQuery and other GCP-native sources., • Identify patterns, trends, and actionable insights to inform data science projects and business initiatives., • Statistical Modeling & Machine Learning, • Build, tune, and evaluate ML models (e.g., classification, regression, clustering, forecasting)., • Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development., • Generative AI & LLM Applications, • Develop and deploy generative AI use cases using Vertex AI and Gemini., • Engage in prompt engineering, model fine-tuning, feature extraction, summarization, and more., • Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG)., • Model Deployment & MLOps, • Use Vertex AI Pipelines, Model Registry, and Prediction Services to deploy and manage models., • Implement monitoring for model drift, bias detection, and performance tracking in production., • Experimentation & Validation, • Design and analyze experiments (e.g., A/B testing) to measure model effectiveness and business impact., • Define evaluation metrics aligned with model fairness, quality, and real-world utility., • Cross-Functional Collaboration, • Work closely with Data Engineers, Product Managers, and business stakeholders to scope, design, and deploy models., • Translate complex analytical results into clear, strategic business insights. Required Qualifications • Bachelor's degree in Statistics, Computer Science, Data Science, or a related quantitative field., • 8-12 + years of experience in applied data science, machine learning, and statistical analysis., • Strong coding skills in Python or R for data analysis, modeling, and automation., • Hands-on experience with Vertex AI components (Notebooks, Pipelines, Training, Prediction)., • Familiarity with Gemini or other LLMs; experience with prompt engineering or GenAI tools., • Strong analytical thinking, communication, and storytelling abilities., • Proven track record with GenAI, including LLM integration, fine-tuning, and RAG systems., • Deep expertise in the Vertex AI ecosystem (Feature Store, Vector Search, Agent Builder)., • Solid understanding of MLOps practices and tools (e.g., CI/CD pipelines for ML)., • Experience with TensorFlow, PyTorch, or JAX.

Job Description CDC Laboratory Support – Biological Scientist, Level 1 Chippewa Government Solutions, a Sault Tribe Inc. (“STI Federal”) company, is searching for a dynamic and skilled Biological Scientist to be a key part of our expanding team! Who We Are & What We Do… At STI Federal, we drive growth through strategic government contracting, fulfilling our mission to support the Sault Ste. Marie Tribe of Chippewa Indians. Our company reinvests 100% of its profits into tribal businesses or community programs, enhancing the well-being of nearly 50,000 tribal citizens. Our work empowers federal agencies and strengthens some of the nation’s most critical initiatives, while fostering opportunities for skilled professionals to make a meaningful impact. What You’ll Do… As a Biological Scientist, you will play a pivotal role in supporting the Influenza Division of the CDC by providing laboratory support as sort of a Jack-of-all trades with various tasks. Your work will contribute to the development and assessment of diagnostic methods and vaccines to improve responses to potential outbreaks. Key Responsibilities & Expected Outcomes • Pick up lab supplies from DSR, • Respond to notifications of incoming packages from Stat lab; pick them up, • Unboxing and verification of inbound shipments, • Pre-accessioning of specimens, • Assisting with autoclave and other waste removal, • Shipment support, ensuring correct viruses are packed in each box, • Buffer and reagent support, • Transfer of materials between buildings Knowledge, Skills, & Abilities for Success • Demonstrates a dedication to upholding and enhancing STI Federal’s core values., • Excels in a collaborative team environment, fostering positive relationships and contributing to shared goals with professionalism and mutual respect., • Familiarity with Laboratory Information Management Systems (LIMS)., • Understanding of laboratory safety regulations, including CLIA, ISO, and OSHA standards., • Strong analytical skills, including proficiency in Microsoft Excel and other data analysis tools., • Exceptional organizational and documentation skills. Minimum Qualifications • Bachelor's degree in life science,, • Previous laboratory experience/exposure a plus. Preferred Qualifications • Bachelor’s degree in Biology, Molecular Biology, Microbiology, or related biological science., • 2+ years of relevant experience, particularly in influenza research., • Familiarity with advanced laboratory standards and techniques. Compensation & Work Environment • Salary Range: $70,000 – $75,000, dependent on experience., • Environment: Work will be performed in a climate-controlled laboratory environment. STI Federal is an Equal Employment Opportunity Employer. We are committed to creating a diverse and inclusive workplace. Qualified applicants are considered for employment regardless of age, disability, ethnicity/race, national origin, religion, gender, gender identity, sexual orientation, or veteran status. Native American preference applies when candidates meet qualifications equally. STI Federal participates in the Electronic Employment Verification Program. Learn more about E-Verify.

Job Description Job Summary: We are seeking a talented Data Scientist to support AI exploration and implementation to enhance our business operations. The ideal candidate will be responsible for identifying potential use cases for AI and leading efforts to build solutions for these use cases by leveraging machine learning algorithms and AI tools. As part of our leading-edge advanced analytics team, you will help drive analytics across the organization to improve customer experience and optimize operations. This is an individual contributor role, providing autonomy in technical and analytical choices, including determining the appropriate modeling techniques and making design decisions. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205-756-4834

Job Description SENIOR PROJECT GEOLOGIST / SENIOR PROJECT ENVIRONMENTAL SCIENTIST Broadbent & Associates, Inc. of Atlanta Metro Area, Georgia is looking to hire an organized full-time Project II or Senior Project Geologist / Environmental Scientist to oversee a wide variety of complex, environmental projects in Georgia, Alabama, South Carolina, and Florida. This position earns a competitive salary (title and salary based on skills and experience), depending on experience. We also offer a comprehensive benefits package, including 100% medical insurance monthly premium coverage, dental, vision, a health savings account (HSA), a generous 401(k) retirement plan with safe harbor contribution and company match, vacation, sick leave, life insurance, bonus opportunity, solid opportunities for advancement, and a friendly and fun work environment in all our offices. If this sounds like the right environmental consulting opportunity for you, in the environmental remediation and water resources arena, consider applying today! ABOUT BROADBENT & ASSOCIATES, INC. Founded in 1987, we are an environmental remediation, water resource, and civil engineering firm. We provide professional services throughout the United States to energy companies, mining operations, agricultural industry, municipalities, private industries, governmental agencies, public and private utilities, and developers. Our mission is to build long-term client relationships by providing sound scientific solutions to comprehensive resource management challenges. We're very client-focused with a commitment to providing services in a time-efficient and cost-effective manner. We take care of our customers AND employees like family. Our ability to hire and retain long-term skilled key personnel has significantly contributed to our success. That's why we offer highly competitive pay, opportunities for personal growth, and a great work environment with a strong sense of camaraderie. A DAY IN THE LIFE OF A PROJECT II or SENIOR PROJECT GEOLOGIST / ENVIRONMENTAL SCIENTIST As a project-level professional, you are the driving force behind our business. Your hard work ensures that we deliver for our clients. Under the supervision of a Division Manager, you will: • Prepare and review of work plans, technical documents, and reports for federal, state, and local agencies, • Prepare and review of new clientele proposals for federal, state, and private industry, • Develop the scope of environmental assessment and remediation projects from our diverse portfolio and manage budgets, • Conduct regular field visits to drive project execution and ensure that appropriate technical and health and safety procedures are being followed, • Review and approve vendor work proposals and invoices, • Write project reports, analyze, and interpret data, and prepare final reports to be submitted for Senior and clients review, • Business development Your people skills are essential as you interact regularly with clientele and regulatory agencies. Though you do spend a lot of time visiting job sites and interacting with people, you also complete various administrative responsibilities. Ensuring that clients are happy as well as that all jobs are delivered on time, within the scope, and on budget, gives you a great sense of accomplishment! MINIMUM QUALIFICATIONS: • Bachelor's degree in geology, hydrogeology, earth, or environmental science, • Professional Geologist (PG) certification (preferred), • Five or more years of experience in geological assessments, water supply, water treatment, environmental assessments, contaminant investigation, contaminant remediation, storm water management, wastewater treatment, permitting projects, or compliance projects in the public and private sectors, • Consulting experience, • Strong working knowledge of federal and state environmental regulations and experience interacting with governmental regulatory agencies, • Demonstrated ability to properly manage multiple projects concurrently while ensuring compliance with deliverable timelines, • Ability to travel within the eastern regional US DESIRED QUALITIES: • Possess strong work ethic and knowledge of the consulting business, • Strong commitment to Safety and staff development, • Possess ability to effectively manage personnel and administrative functions, • Advanced technical capabilities associated with the specific field of expertise, • Motivated self-starter and ability to perform periodic field work, • Strong problem solving, research, and communication skills, • Ability to identify and mitigate potential hazards associated with site operations, • Willingness to conduct Business Development activities, • Technical writing competency and computer literacy, • In-depth experience with service line specific cost projections, budget preparation and tracking, • Ability to work individually and as a team member Are you detail-oriented? Do you have strong problem-solving and research skills? Are you organized and able to effectively prioritize multiple projects and tasks? Do you have excellent communication skills? Are you energetic, self-sufficient, and motivated? Do you have a strong commitment to safety and staff development? Are you collaborative and team-oriented? If so, you might just be perfect for this position! WORK SCHEDULE AND LOCATION This full-time project management position typically works Monday - Friday with some traveling, overnight and weekend work. May engage extended two- or three-week projects regarding emergency response (voluntary). READY TO JOIN OUR TEAM? We understand your time is valuable and that is why we have a very quick and easy application process. If you feel that you would be right for this project management job, please fill out our initial 3-minute, mobile-friendly application. We look forward to meeting you! Broadbent is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. Job Posted by ApplicantPro

Job Description Senior Data Scientist, Computer Vision & Product Strategy Location: Atlanta, GA (Hybrid/remote) Employment Type: Full-Time About TURNBRIDGE TURNBRIDGE delivers precision-driven technical solutions and talent strategies that accelerate business outcomes. We connect exceptional talent with innovative organizations, helping teams solve complex challenges through technology, data, and AI-driven solutions. Role Overview We are seeking a highly experienced Senior Data Scientist to lead the evolution of a cutting-edge Computer Vision platform in a hybrid technical leadership and product ownership role. This position combines deep expertise in data science, machine learning, and computer vision with strategic product management responsibilities. You will define the technical direction of computer vision applications, guide AI/ML innovation, own product vision and roadmap execution, and lead cross-functional teams to deliver scalable, enterprise-grade solutions that generate measurable business value. Key Responsibilities Data Science & Computer Vision Leadership Lead the technical strategy for a mobile Computer Vision SDK, enabling intelligent image capture through real-time quality assessment, image validation, augmented reality guidance, and user coaching. Drive the design and ongoing optimization of image processing pipelines that transform raw image captures into actionable operational insights in near real-time. Guide development of a scalable backend platform for configuring, managing, and deploying image processing workflows across multiple business use cases. Define and operationalize KPI frameworks that convert image recognition outputs into reliable business metrics, dashboards, and decision-support insights. Partner with product and engineering teams to integrate computer vision capabilities across multiple applications and platforms. Collaborate with data engineering and analytics teams to enable enterprise-wide access to image recognition insights through modern data platforms and AI-powered experiences. Establish standards for model evaluation, benchmarking, quality assurance, drift monitoring, experimentation, and continuous improvement. Research and implement emerging computer vision and machine learning technologies, including foundation models, self-supervised learning, synthetic data generation, and edge AI optimization. Serve as the subject matter expert for model validation, experimentation, performance analysis, and solution design. Product Vision, Strategy & Execution Define and own the vision, strategy, and roadmap for the computer vision product portfolio, including SDKs, image-processing services, and business rules engines. Establish and drive product objectives and key results (OKRs) aligned to measurable business outcomes. Lead product discovery efforts through stakeholder engagement, user research, workflow analysis, and market evaluation. Own product backlog prioritization, balancing customer value, strategic alignment, technical considerations, and delivery effort. Define and monitor key product success metrics, including adoption, model accuracy, user engagement, operational impact, and time-to-value. Create and maintain product artifacts such as business cases, product requirements documents (PRDs), roadmaps, release communications, and executive updates. Act as the primary bridge between business stakeholders, technical teams, and leadership to ensure alignment and successful product delivery. Develop value realization plans that support adoption, user enablement, training, and measurable ROI. AI Vendor & Data Asset Management Manage relationships with external AI, machine learning, and image recognition technology providers. Establish and maintain service-level expectations for model performance, accuracy, retraining cadence, and issue resolution. Oversee image datasets, reference assets, metadata, and catalog governance to ensure data quality and consistency. Evaluate model performance using quantitative methods and challenge assumptions through rigorous testing and analysis. Assess emerging technologies, partners, and vendors to ensure a best-in-class computer vision ecosystem. What You'll Gain End-to-end ownership of AI and machine learning products operating at enterprise scale. Experience leading advanced computer vision initiatives from concept through production. Exposure to emerging trends in machine learning, edge AI, image recognition, and generative AI technologies. Opportunities to blend technical leadership with strategic product management responsibilities. Collaboration with cross-functional teams driving innovation, digital transformation, and operational excellence. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (or equivalent practical experience). 7+ years of experience in data science, machine learning, or artificial intelligence. 3+ years of hands-on experience in computer vision, including object detection, image classification, segmentation, OCR, or related technologies. Proven experience leading technical teams and delivering ML/AI solutions in production environments. Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch, TensorFlow, OpenCV, or Hugging Face. Deep understanding of the machine learning lifecycle, including model development, deployment, monitoring, maintenance, and optimization. Experience defining product KPIs, OKRs, and outcome-driven roadmaps. Strong stakeholder management, communication, and cross-functional leadership skills. Experience managing third-party technology vendors, strategic partners, and service-level agreements. Preferred Qualifications Experience serving as a Product Owner, Product Manager, or technical product leader within an AI/ML environment. Experience designing and scaling image recognition or computer vision platforms. Knowledge of SDK architecture, API-first product development, and developer experience best practices. Familiarity with business rules engines, workflow automation, and decision intelligence platforms. Experience with cloud-native architectures, preferably Microsoft Azure. Experience with Databricks, containerization, CI/CD pipelines, and MLOps practices. Exposure to generative AI, foundation models, and multimodal AI systems. Experience supporting retail, logistics, supply chain, field operations, manufacturing, or enterprise operational environments. Professional & Interpersonal Skills Strategic thinker who balances long-term vision with practical execution. Ability to communicate effectively with executive leadership, business stakeholders, engineers, and data scientists. Strong analytical and problem-solving skills with a data-driven mindset. Comfortable operating in ambiguous, fast-moving environments. Proven ability to influence without direct authority across multiple teams and functions. Collaborative leadership style with a passion for innovation and continuous improvement. Excellent written, verbal, and presentation skills. Commitment to fostering an inclusive, diverse, and high-performing workplace culture. Why TURNBRIDGE? Work on cutting-edge AI, machine learning, and computer vision initiatives. Influence both product strategy and technical direction. Collaborate with highly skilled engineers, data scientists, and business leaders. Drive measurable business impact through innovative technology solutions. Join a culture focused on excellence, accountability, collaboration, and continuous innovation. Ready to make an impact? Apply today and help shape the future of AI-powered computer vision solutions.

Job DescriptionSr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met. This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems. This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: • Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements, • Develop data models top optimize and improve work of e-commerce functions, • Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance, • Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance, • Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics, • Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape Data Scientist Requirements:, • Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science)., • Must have data modeling, predictive analytics and/or machine learning experience, • 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software, • MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS, • Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI, • This is not a developer position, but you must possess strong SQL coding skills, • Experience in data mining and understanding of machine-learning and operations research is an advantage, • Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills Nice to have:, • Experience in data mining and understanding of machine-learning and operations research is an advantage, • Proficiency in Excel, PowerPoint, MS Access is a plus, • Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark, • Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset, • Knowledge of Python will be a plus Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com. . ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Job Description Applied Data Scientist Applied Research Group – Supply Chain Optimization About GAINS GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our decision intelligence platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster— and it's not a tagline, it's how we're redefining what's possible in driving supply chain decisions. About the Role As an Applied Data Scientist on the Applied Research Group at GAINS, you will research, design, build, and deploy production ML models that directly improve supply chain outcomes for enterprise customers. This is a hybrid role that spans the full ML lifecycle—from exploratory analysis and model development through production deployment and ongoing performance tuning. Your work will address core supply chain problems where machine learning delivers measurable business value. On any given week, you might be designing a new feature engineering approach, running experiments to evaluate alternative modeling techniques, debugging model drift for a specific customer, or building pipeline infrastructure to operationalize a new ML capability. You will collaborate closely with product managers, professional services, software engineers, and customer-facing teams to translate complex supply chain challenges into well-scoped ML solutions. This is a hands-on IC role with high autonomy and direct impact on customer outcomes and revenue. You will own ML projects end-to-end—the science and the engineering. A Day in the Life Research, design, and develop machine learning models for supply chain applications that drive measurable improvements in operational efficiency and planning accuracy Perform exploratory data analysis, statistical modeling, and feature engineering on large, complex supply chain datasets to identify signals and improve model performance Design and run experiments to evaluate new modeling approaches, loss functions, feature sets, and hyperparameter configurations—interpreting results and translating findings into production improvements Build and maintain robust ML pipelines that process, clean, and transform data from enterprise supply chain systems (SQL databases, APIs, ERP integrations) Deploy and maintain models in cloud-based production environments, managing the full lifecycle from training through inference and monitoring Implement model evaluation, drift detection, and monitoring frameworks to ensure reliability across diverse customer environments Diagnose and resolve model performance issues for individual customers—investigating data quality, feature behavior, and distributional shifts Partner with product managers, professional services, and engineering teams to understand customer problems and scope ML solutions appropriately Communicate findings, model behavior, trade-offs, and recommendations clearly to both technical and non-technical stakeholders Contribute to the team’s technical direction on ML methodology, architecture, tooling, and best practices Required Qualifications Bachelor’s degree in Computer Science, Statistics, Data Science, Engineering, Operations Research, or a related technical field; or equivalent professional experience 3+ years hands-on experience in applied machine learning or data science roles, with models developed and deployed to production Strong Python skills with experience writing clean, maintainable, production-grade ML code 3+ years professional SQL experience, including complex queries against large enterprise datasets Deep understanding of statistical and machine learning methods: gradient boosting (LightGBM, XGBoost, CatBoost), regression, decision trees, clustering, time series techniques, and model evaluation methodology Experience with feature engineering for structured and tabular data, including domain-informed feature design, temporal feature construction, and feature selection techniques Demonstrated ability to design experiments, evaluate model performance rigorously, and iterate on approaches based on empirical results Experience building and maintaining ML pipelines—data ingestion, feature engineering, training, evaluation, deployment Working knowledge of cloud-based ML infrastructure (Azure preferred; AWS or GCP acceptable) Strong communication skills with the ability to explain model behavior, experimental results, and trade-offs to non-technical audiences Self-directed with a track record of owning ML projects end-to-end—from problem formulation through production delivery—with minimal supervision Preferred Qualifications Master’s or PhD in Computer Science, Statistics, Data Science, Engineering, Operations Research, or a related technical field Experience in supply chain, operations, or logistics domains Background in time series modeling, probabilistic methods, or optimization techniques applied to operational problems Familiarity with Databricks, Spark, or similar distributed compute platforms for ML workloads Experience with Azure services: Azure ML, Container Apps, App Configuration, DevOps pipelines Experience working directly with enterprise customers to tune, validate, and explain model outputs in their specific business context Experience with MLflow for experiment tracking and model versioning Experience with Kafka or similar event streaming platforms for real-time data integration Curiosity about the business processes your models serve and motivation to understand how supply chain decisions are actually made Core Competencies Customer Impact: Builds solutions with the end customer in mind—measures success by business outcomes, not model metrics alone Analytical Depth: Goes beyond surface-level results to understand why models behave the way they do, especially when they fail—combines scientific rigor with practical problem-solving Engineering Rigor: Writes production-quality code, designs reliable pipelines, and thinks about failure modes before they happen Manages Complexity: Navigates messy real-world data and ambiguous problem definitions to deliver practical, scalable solutions Communicates Effectively: Translates technical model behavior and experimental findings into clear narratives for product, services, and leadership audiences Drives Results: Takes ownership, follows through on commitments, and delivers measurable improvements to customer outcomes Technology Environment Python, LightGBM, SQL, Azure (Container Apps, ML, DevOps), Databricks, Git/GitHub. Enterprise supply chain platform with SQL Server backends and REST APIs. Why GAINS • Work on software that leverages AI and ML to solve real logistics challenges for customers, • Direct impact on developer experience across the entire engineering org, • Collaborative, low-bureaucracy environment where engineers own their work end-to-end, • Competitive compensation and benefits GAINS may use artificial intelligence (AI) tools to assist in screening and/or assessing applications during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request an accommodation. The recruitment team can be reached at: HR@GAINSystems.com. We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply. Powered by JazzHR PXUNIuJHW7

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field, • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role, • Advanced knowledge of probability theory, statistics, and machine learning methods is required, • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred, • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data, • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus, • Strong written and verbal communication skills, • Strong programming skills in Python (preferred), R, and SQL, • Experience and understanding of relational and non-relational databases preferred, • Comfort working within git-based version-control environments, • Experience with Databricks or other cloud-based data and analytics platforms preferred, • Highly motivated, detail oriented, and team player BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job Description Data Scientist Location: Atlanta, GA Hybrid Employment Type: Full-Time About Us: Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems), operates across a diverse portfolio of technology and service divisions. Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions, and advanced audio technologies to a broad range of industries. Event Citadel (formerly CompuSystems), founded in 1976, is a trusted provider of end-to-end event technology solutions, offering registration, ticketing, lead retrieval, and attendee-engagement services for events of all sizes across trade, association, corporate, and government markets. Job Description: We’re looking for a Data Scientist to drive measurable improvement of our AI systems — including a multi-agent LLM pipeline that profiles, classifies, and values customer data assets, and a classification service that builds our reference dataset from public sources. You’ll own the evaluation strategy, ground-truth corpus design, and statistical rigor that turns “the agent feels better” into “the agent is measurably 18% more accurate at industry classification on our latest corpus.” This is a hands-on, high-ownership role where you’ll be the technical authority on what “good” looks like for our AI outputs. Key Responsibilities: • Design, build, and maintain evaluation frameworks for our multi-agent LLM pipelines covering classification, PII detection, valuation, retrieval, segmentation, and synthesis — with regression-detection rigor., • Curate, expand, and version synthetic and real-world test corpora that exercise our AI pipelines end-to-end across 20+ industry verticals., • Quantify model performance: precision, recall, calibration, inter-rater agreement against human-verified ground truth, drift detection across releases., • Partner with engineering to design prompt experiments, agent variants, and structured-output schema iterations; report results with statistical confidence intervals — not anecdotes., • Improve vector-search comparable retrieval: embedding model selection, retrieval evaluation (recall@k, MRR), taxonomy refinement, classification accuracy uplift., • Evaluate prompt strategies, tool-use patterns, and routing logic; recommend model-tier choices backed by cost/accuracy data., • Profile production traces to identify failure modes (hallucinated outputs, mis-classifications, missed PII), then design experiments to fix them., • Work cross-functionally with engineering, product, and domain experts to translate fuzzy product goals (“the analysis should feel insightful”) into quantitative success metrics., • Communicate findings through written reports, dashboards, and decision memos that executive leadership can act on. Qualifications: • Bachelor’s degree in Computer Science, Statistics, Data Science, Machine Learning, or related quantitative discipline, or equivalent professional experience. Master’s or PhD preferred., • 3+ years of professional data science, ML engineering, or AI evaluation experience shipping models or AI systems to production., • Strong Python skills (Pandas, NumPy, scikit-learn, PyTorch or TensorFlow), with comfort writing production-quality code that engineers will run in CI., • Proven experience evaluating LLM-based systems: prompt experimentation, structured-output validation, hallucination detection, retrieval evaluation, judge-LLM patterns., • Solid grasp of classical statistics: hypothesis testing, confidence intervals, sample-size calculation, power analysis, calibration., • SQL proficiency for ad-hoc analysis on PostgreSQL; comfortable with embedded analytical databases for offline evaluation., • Experience with vector databases and embedding models., • Ability to translate business goals into measurable evaluation criteria, and willingness to push back when a “metric” doesn’t measure what stakeholders thin What We Offer: • Competitive salary and benefits package., • A fast-paced, high-impact work environment., • Opportunity to work closely with executive leadership., • The chance to work with cutting-edge technologies and make a significant impact., • A culture of innovation, ownership, and growth.

Job DescriptionStaff Scientist – Environmental Assessments Annual Salary Range: $70,000–$95,000 BLEW is excited to announce an opening for a Staff Scientist specializing in Environmental Assessments. In this role, you will be instrumental in managing projects that involve both environmental and physical property condition assessments across the United States. This is a fantastic opportunity to grow within the commercial real estate due diligence industry. We are seeking candidates who have the ability to perform one or more of the following types: • ESA, • PCA, • ESA/PCA Dual, • FMAC ESA / FMAC PCA / FMAC Dual, • FNMA SBL ESA / FNMA SBL PCA / FNMA SBL Dual, • RADON, • EQUITY PCA, • ASM Sampling, • MEP/HVAC, • LBP Assessment, • Construction, • Phase II, • Seismic Risk Responsibilities • Conduct and prepare Environmental Site Assessments (ESA, PCA, or other reports for which you are qualified as listed above)., • Provide clear, well-supported recommendations and solutions to Managing Directors and clients while understanding how assessments impact transactions., • Oversee quality control throughout project lifecycles., • Conduct site visits and lead fieldwork activities., • Write Report., • Perform research (historical, regulatory, etc.) and compile supporting data., • Communicate with clients and site representatives., • Prepare professional supporting documentation (figures, appendices, etc.)., • Other tasks as assigned by the Managing Director related to report deliverables and schedules. Requirements • Minimum of 3-5 years of experience in conducting assessment work in either ESA / PCA's., • Strong understanding of the ASTM protocols and relevant regulatory requirements., • Excellent written and verbal communication skills., • Strong analytical thinking and problem-solving abilities., • Ability to manage multiple projects and meet strict deadlines., • Familiarity with industry standard report writing software's i.e. Quire / Parcel., • Professional certifications in any of the disciplines is a plus., • Ability to travel 90% of the time. Benefits • 95% coverage of health benefits including Medical and Dental with optional family and/or dependent enrollment paid by employee at a group rate, • 50% company contribution towards Vision coverage, • Tuition reimbursement (up to $5,250 per year), • 401(k) matching program: company match 100% of your deferrals up to 3% of your compensation, plus 50% of your deferrals over 3% not exceeding 5% of your compensation, • 100% employer paid Short-Term Disability with employee buy up options, • 100% employer paid Life Insurance Coverage with employee buy up options, • Paid parental leave, • Holiday pay, • Sick pay, • Paid vacations, • Possible year-end bonuses based on performance and tenure, • Company computer, • Relocation and Sign on Bonuses may apply

Job Description Are you driven to grow, lead, and make a meaningful impact? At Apex, we're building more than a consulting and engineering firm—we're creating a place where your career accelerates, your contributions matter, and your potential is fully realized. We believe your growth is our growth, which is why we invest in your development at every stage of your career. Here, you'll work on projects that shape communities, protect the environment, and create lasting impact, all while being empowered with the autonomy and flexibility to do your best work. Fueled by high quality delivery, exceptional client retention, and strategic acquisitions, Apex Companies continues to rank among the fastest-growing firms in the AEC industry, recently recognized by the Zweig Group for our industry-leading growth. Our success is grounded in strong leadership, a collaborative culture, and a shared commitment to delivering exceptional outcomes. As we continue to grow, we're focused on building a team of high-performing professionals who are ready to lead, collaborate, and push what's possible. At Apex, you don't just join a company, you help shape what comes next. Remote opportunity for experienced Industrial Hygienists in the Atlanta area! This role offers the flexibility to work remotely from anywhere in the greater Atlanta region while supporting field projects throughout the Southeast. You'll enjoy the autonomy of a remote position combined with the opportunity to work on a wide variety of industrial hygiene, asbestos, lead, indoor air quality, and environmental health projects for a growing national firm. Your Responsibilities as an Industrial Hygienist: • Conduct Indoor Air Quality and Post-Remediation Verification Assessments associated with:, • Water Intrusion/Mold, • Moisture Mapping, • Air Sampling for Mold and IAQ Parameters, • Gather, analyze, and interpret data., • Preparation of Scope of Work and Draft Technical Reports, • Conduct Asbestos and Lead Based Paint Surveys and Abatement and Remediation Oversight/Air Sampling, • Conduct Industrial Hygiene Sampling and Monitoring, • Industrial Hygiene Assessments of Chemical and Noise Exposures, • Air Monitoring, • Sound Level Surveys, • Observe and Recommend Engineering and Administrative Controls to Limit Employee Exposures., • Compare employee exposures to noise and air contamination against regulatory limits from client, OSHA, or ACGIH., • Preparation of Scope of Works and Draft Technical Reports., • Ensure safe work practices on all project work., • Actively develop your own career growth. What we're looking for: • BA/BS in Industrial Hygiene, Environmental Science/Engineering or other related field;, • Master's degree a plus., • 5+ years of technical experience required., • Experience working with industrial hygiene, asbestos, and lead sampling., • Asbestos, lead and/or lead inspector certifications preferred., • Additional EHS certifications/licensures or interest in pursuing additional qualifications highly desired., • Knowledge and understanding of asbestos OSHA, EPA, and state regulations., • Ability to work in a respirator and protective clothing., • Proficiency with MS Office Suite., • Strong research and analytical skills to identify, collect, organize, and document information and data., • Excellent written, verbal, and interpersonal communication., • Good safety record and understanding of safe work practices., • Valid driver's license, good driving history and reliable transportation are required., • HAZWOPER 40 Hour Trained with Current 8-hour Refresher preferred., • 70-80% fieldwork/travel required. Why you'll love working for us: • Company-subsidized medical and dental., • Company-paid life, short, and long-term disability., • 401k match, tuition assistance, and more., • Cross-training and the ability to work on a variety of projects., • Performance-based bonuses or other incentives., • Working with the best and brightest in the industry., • 2,000+ employee national firm with 70+ locations across the US.Apex Job Title: Scientist 3 - Sr Project Scientist Req ID: 11616 #LI-MW1 We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact Talent@apexcos.com or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: Educational Background • Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline., • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics. Technical & Analytical Skills • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)., • Strong applied statistics skills for:, • Risk modeling, • Predictive analytics, • Pricing & underwriting analytics, • Catastrophe exposure analysis, • Proficiency in statistical and machine learning techniques, including:, • Regression (GLM, GAM, GAMMs), • Time-series forecasting, • Gradient boosting, random forests, and other tree-based models, neural networks models, • Clustering and segmentation, • Bayesian methods, • Hands-on experience with key programming tools:, • Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus), • R (actuarial/statistical packages), • SQL for data extraction and manipulation, • Familiarity with Git and Docker is a plus, • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus. Preferred Domain Knowledge in Risk Modeling • Strong understanding of property & casualty insurance, including:, • Exposure modeling, • Loss distributions (e.g., Pareto, lognormal, gamma), • Catastrophe risk concepts and tail modeling, • Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR) Data Skills • Ability to work with large structured and unstructured datasets., • Expertise in data cleaning, transformation, and feature engineering., • Experience building automated data pipelines and scalable model workflows. Modeling & Communication • Ability to translate complex statistical concepts into actionable business insights., • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders., • Strong documentation and model governance discipline. Professional Competencies • Curious, analytical thinker with strong problem-solving ability., • Ability to work independently in ambiguous problem spaces., • Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers. BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job Description HI, Hope you're doing well This is pankaj from 4P Consulting Please see below job description Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C • A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision- making within an organization. • This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets. Key Responsibilities: Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights. • Use statistical techniques to uncover meaningful information from data. Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. • Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations. • Feature Engineering: Engineer and select relevant features for machine learning models, • enhancing their predictive power. Algorithm Development: Build and fine- tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem. • Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses. Model Deployment: Deploy machine learning models in production environments to support real-time decision-making. A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements. Data Ethics: • Ensure ethical data practices, including privacy and compliance with data protection regulations. Cross- functional Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals. Mentorship: • Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth. Continuous Learning: Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Qualifications: Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Masters or Ph.D. is a plus. • 5 to 10 years of experience in data science, including machine learning and statistical analysis. Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization toolslike Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Solid understanding of databases and data manipulation using SQL. Excellent problem-solving and critical thinking skills. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark). Knowledge of data ethics, privacy, and compliance considerations. • A Data Scientist with 5 to 10 years of experience is a critical asset to an organization, capable of transforming data into actionable insights, building predictive models, and driving data-driven decision-making. This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205-756-4834

Job DescriptionData Scientist (5–10 Years Experience)Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets. Key Responsibilities: 1. Data Analysis: Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights. Apply statistical techniques to derive meaningful information for business strategies. 1. Predictive Modeling: Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes. Utilize techniques such as regression analysis, classification, and clustering. 1. Data Visualization: Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn). Effectively communicate insights to both technical and non-technical stakeholders. 1. Hypothesis Testing: Formulate and test hypotheses to statistically validate business decisions and recommendations. 1. Feature Engineering: Engineer and select relevant features to optimize the performance of machine learning models. 1. Algorithm Development: Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks. 1. Data Integration: Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses. 1. Model Deployment: Deploy machine learning models into production environments to support real-time analytics and decision-making. 1. A/B Testing: Design and evaluate A/B tests to assess the impact of process or product changes. 1. Data Ethics: Ensure data handling practices meet ethical standards, including privacy and compliance with regulations. 1. Cross-functional Collaboration: Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 1. Mentorship: Provide guidance and mentorship to junior data scientists and analysts to support team development. 1. Continuous Learning: Stay updated on the latest data science tools, trends, and best practices through professional development. Qualifications: Education: Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). Master’s or Ph.D. is a plus. Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis. Programming Languages & Tools: Proficiency in Python, R, or Julia. Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn). Database Skills: Strong understanding of databases and SQL-based data manipulation. Additional Skills: Advanced problem-solving and critical thinking abilities. Strong communication skills for conveying technical findings to diverse audiences. Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus. Awareness of data ethics and regulatory compliance.

Job DescriptionSalary: About us: At Cognira, we strongly believe that people are the biggest asset of our company. Our hand-picked team consists of passionate, collaborative, and forward-thinking individuals from all over the globe. We are passionate about making science easy and accessible to retailers, helping them get more value from people, data, and systems. We bring together expertise in retail, science, and scalable technologies to automate and enhance the quality of decision-making through software and consulting services. We are proud to have a growing team of domain experts and data scientists, as well as a culture that fosters strong and long-lasting relationships with our clients. Our Locations: • Atlanta, GA, US, • Tunis, Tunisia, • Istanbul, Turkey, • Paris, France, • Porto, Portugal Our values: • Be nice and trustworthy, • Put our customers first, • Succeed together, • Never stop improving Are you ready to grow with us? To find out more about Cognira, please visit our website at www.cognira.com About this role: The Data Scientist serves as a trusted professional that is experienced in problem-solving with real-world customer data and working with clients. At Cognira this role is expected to participate in design and implementation of client projects, as well as drive the development of general models used in forecasting. You will play an important role in shaping our forecasting processes, from architecting innovative feature sets and training cutting-edge models to refining their predictive power. You'll also partner with cross-functional teams to translate complex data into high-impact business solutions, directly influencing real-world retail strategies. What will you do: • You will develop new models and algorithms that allow our clients to make strategic decisions for promotion and pricing., • You will implement new features in Cogniras forecasting platform., • You will be responsible for implementing forecast and strategy solutions using Cogniras forecasting platform., • You will apply a wide range of statistical and quantitative analysis in practical and valuable ways to real-world business problems., • You will be processing, cleansing, and verifying the integrity of data used for analysis., • You will help create and maintain rich visualizations through data interpretation and analysis., • You will write maintainable and well-documented code., • You will learn and work with subject matter experts from other teams and business representatives from our clients. What you bring to the table: • Excellent academics in computer science, math, statistics or the physical sciences., • Deep understanding of machine learning and artificial intelligence., • Ability to innovate new solutions or design algorithms that address real-world client needs., • Extensive Python expertise with a minimum of 5 years in the field, including mastery of essential frameworks like Pandas, PySpark, or NumPy., • Ability to work on multiple projects., • Ability to maintain a high level of code quality and work within a shared repository., • Excellent written and verbal communication skills including reports and presentations., • A drive to learn and master new technologies and techniques., • You have a collaborative attitude, willingness to share and use best ideas., • You are persistent, focused, self-sufficient and optimistic. Even better if : • You have past retail experience., • You have experience working in a distributed development environment leveraging git and Jira., • You have experience working in a scaled data environment leveraging Spark and Kubernetes., • You have experience working in a Linux environment., • You have a Ph.D. degree. What we offer: • In addition to joining us on our journey to build state-of-the-art, AI-enabled software, youll also get a ton of perks!, • Competitive salary, benefits, and equity stock plans for all employees, • The week between Christmas and New Year's Day as holidays, • Great medical insurance & 401K with matching, • On Wednesdays, we have free lunches, and our office building has a complimentary gym with free classes from yoga to kickboxing. We also have a game room so we have the occasional table tennis competition or a game of shuffleboard., • Work-Life Balance: 21 paid days off, major national holidays in the US, • Unlimited days of Work From Anywhere every year. Wed like to ensure you have the time and flexibility to recharge and spend time with your loved ones., • Casual dress code, free snacks, drinks, and social events!, • Mentorship Program, where you can be a mentor or a mentee., • Referral Program Bonus, • A cool welcome pack with laptop & all necessary IT kit for work Our Recruitment Process: Our interview process includes an initial conversation with our Recruiting team, two technical interviews with our Data Science team, and final conversations with our COO and CEO.

Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact o

$80 - $130/hourpaymaterials science expertisematerials characterizationtechnical literature reviewscientific data interpretationclear written and verbal communicationremote collaborationannotating technical datasetsscenario and case study developmentquality assurance in scientific deliverablesanalytical skillsmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Materials Scientist / Engineer Role Type: Contractor Location: Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering., • Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields., • Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training., • Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors., • Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning., • Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones., • Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices. Preferred Qualifications • MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization., • Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing)., • Strong analytical skills and experience interpreting complex scientific data., • Substantial experience conducting technical literature reviews and summarizing key findings., • Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences., • Experience with quality assurance and review of scientific documents or datasets., • Familiarity with remote collaboration tools and digital knowledge-sharing environments. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Invesco, a leading global investment firm, seeks a Principal Data Scientist in Atlanta to design, build, and validate agentic AI systems solving complex financial challenges. You will create multi‑agent workflows using Copilot Studio, LangGraph, Cortex, and AgentCore to drive production‑ready AI initiatives. This hands‑on leadership role partners with software engineers and investment professionals to scale AI across the technology organization, turning notebook experiments into microservices #J-18808-Ljbffr

Blue Shield of CA’s AI & Machine Learning team is seeking a Principal Data Scientist to lead the development and deployment of novel AI applications that leverage generative models. You will translate cutting-edge AI research into real-world products, shipping production‑grade features such as LLM-powered apps, agents, and RAG-enabled search, across customer-facing workflows. Reporting to the AI & ML Director, you will set the technical direction, build scalable systems, and mentor teams in a #J-18808-Ljbffr

Invesco is seeking a Principal Data Scientist in Atlanta to design, build, and validate agentic AI systems that tackle complex financial challenges. You will work with tools like LangGraph, LangChain, Copilot Studio, and AgentCore to create multi-agent workflows and production-ready solutions. The role emphasizes hands-on leadership, building and testing AI models, and collaborating with investment professionals and engineers to scale AI initiatives across Invesco Technology. #J-18808-Ljbffr

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. • Flexible paid time off, • Hybrid work schedule, • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution, • Health & wellbeing benefits, • Parental Leave benefits, • Employee stock purchase plan The Advanced Engineering team is Invesco’s AI center of excellence, driving innovation through IVYGPT, agentic AI frameworks, and business-sponsored GenAI solutions that improve efficiency across the firm. The team also promotes AI adoption through meetups, hackathons, and cross-functional collaboration. We are seeking a Principal Data Scientist in Atlanta to design, build, and validate agentic AI systems that solve complex financial challenges. Using tools such as Copilot Studio, LangGraph, Cortex, and AgentCore, you will create multi-agent workflows, develop evaluation frameworks, and lead AI initiatives from concept to production. This role is ideal for a hands‑on leader who thrives on building, testing, and scaling AI solutions. • Leading and collaborating with software engineers, data engineers, and investment professionals to build innovative AI‑based tools using structured and alternate data sources., • Designing and implementing complex reasoning loops using frameworks like LangGraph, LangChain, or AgentCore, transforming static LLMs into dynamic, goal‑oriented agents., • Developing robust evaluation frameworks and "gold‑standard" datasets to measure the performance, faithfulness, and accuracy of generative outputs., • Scaling AI initiatives and agentic development across Invesco Technology teams by creating reusable patterns, prompt templates, agentic harnesses, skills, and subagents with GitHub Copilot and Claude Code., • Collaborating with full‑stack engineers to integrate AI models into business workflows, using AI‑assisted coding to move from a notebook experiment to a functional microservice in record time., • Implementing systematic testing (e.g., RAG evaluation, stress testing) to ensure AI solutions meet the high compliance and reliability standards of the financial services industry., • Applying emerging techniques in prompt engineering, fine‑tuning, and multi‑agent systems to solve unique business challenges., • 7-10 years of demonstrated experience in data science or machine learning, with a strong emphasis on Natural Language Processing (NLP) and Generative AI., • Strong foundation in Python and cloud‑native development; you write clean, modular code and are comfortable with Docker, CI/CD, and DevSecOps., • Exposure to or high enthusiasm for learning LangGraph, LangChain, Copilot Studio, or AgentCore with Strands., • Familiarity with creating evaluation metrics and building datasets for model validation and testing., • Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries., • A desire to work at the intersection of data engineering and full‑stack development, with the agility to pivot based on rapid sprint feedback. Full time Employee Yes Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non‑discrimination in employment. #J-18808-Ljbffr

The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying AI, machine learning, and generative AI to build intelligent products that create "intelligence at scale." Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting‑edge AI research into real‑world products and taking features from 0 to 1. You will design, build, and ship production‑grade AI products including LLM‑powered applications, AI agents and copilots, retrieval‑augmented generation (RAG) and search, and AI‑enabled automation embedded directly into customer‑facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. You will set the technical direction for how AI is applied across the organization. Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high‑performing teams, getting results the right way, and fostering continuous learning. • Bachelor's degree in computer science, a quantitative discipline, or equivalent practical experience, • 8 years of experience in software development and applied AI/ML with a Bachelor's degree; or 5 years with a Master's; or a PhD with relevant experience, • Proven track record of building and shipping software products rapidly – not just developing models or analyses, • Strong software engineering skills and proficiency in Python, including building APIs and backend services, • Experience leading ML design and optimizing ML infrastructure – model deployment, evaluation, and data processing – and working with machine learning frameworks and libraries, • Hands‑on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph, • Hands‑on experience building applications that leverage generative AI models, including prompt engineering and retrieval‑augmented generation (RAG), • Experience with generative AI research or applications preferred, • Experience designing agent‑based systems and orchestration frameworks preferred, • Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark preferred, • Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management preferred, • Experience rapidly developing and shipping software in a fast‑paced, customer‑facing environment, adapting to changing priorities preferred, • Understanding of responsible AI and governance for regulated or healthcare environments preferred This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in‑person collaboration with flexibility. For most teams, this means coming into the office two days each week. Employees living more than 50 miles from an office location will work with their manager to determine in‑office time based on business need. #J-18808-Ljbffr

This position is not eligible for visa sponsorship, now or in the future. Candidates must be a US Citizen or Green Card Holder. The role is remote in the Greater Boston Area only or hybrid 3 days per week in either our Cincinnati, OH or Atlanta, GA office. We are seeking an experienced and visionary Principal Data Scientist to help scale our Data Science and AI team. In this role, you will collaborate closely with ML software engineers, product managers, and other product delivery teams to build ML models and data‑driven algorithms into robust, scalable, and production‑ready products that optimize the end‑to‑end payment process. You will act as a payment subject‑matter expert and apply strong system and product thinking to create new product concepts, influence and build development roadmaps, design intelligent decision engines, drive cross‑functional initiatives and mentor senior DS/ML engineers. You will balance strategic leadership with hands‑on technical contribution, dividing your time between setting technical direction and actively participating in architecture, design reviews, code reviews, and selected implementation efforts. • Define the technical vision and strategy for new data‑driven product initiatives with a focus on end‑to‑end payment optimization, aligning them with business goals., • Develop scalable and reusable capabilities to power real‑time machine‑learning models (classification, ranking and optimization), enable rapid experimentation at scale and support continuous monitoring of ML products., • Oversee and participate hands‑on in the conceptualization, development, production deployment, operation, validation and maintenance of ML models and model update systems., • Establish and ensure adherence to best practices for ML modeling; stay abreast of industry trends and emerging technologies in ML and payment optimization, driving adoption of modern tools, frameworks and infrastructure., • Foster a culture of innovation, experimentation and collaboration; mentor an elite team of data scientists., • Partner with product, engineering, data and compliance teams to integrate ML into products; communicate complex technical concepts clearly to both technical and non‑technical audiences., • Collaborate with other Data Science leaders to establish an operating model for machine learning R&D that optimizes end‑to‑end delivery of business value., • Bachelor’s or master’s degree in computer science, statistics, mathematics, engineering or related field (Ph.D. preferred)., • 7+ years in ML research or engineering; 5+ years building large‑scale, real‑time ML systems in production, including significant hands‑on experience., • Expertise in machine learning, statistical modeling and data analysis; strong experience across the ML lifecycle and experimentation processes., • Proficiency in Python (Pandas, NumPy, scikit‑learn), strong SQL and database experience (NoSQL and/or graph database experience is a plus)., • Demonstrated ability to lead solution design and execution, translating complex business requirements into actionable technology solutions., • Exceptional verbal and written communication skills, with the ability to influence and collaborate effectively across technical and business audiences at all levels, including executive leadership., • Experience in payments, fintech or financial services., • Knowledge of payment systems (authorization lifecycle, tokenization, fraud/risk, real‑time payments)., • Experience with cloud platforms (AWS, GCP, Snowflake, Databricks, Vertex AI)., • Agile development experience., • Experience in large companies, mature ML teams and/or highly regulated industries. Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry and you can learn from them as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever‑evolving company and get dynamic opportunities that go beyond borders. For this full‑time position, the good‑faith estimated annual salary range upon hire is $165,300.00–$249,675.00. This range reflects what we reasonably expect to offer based on the role’s responsibilities, level and geographic location. The actual starting salary will be determined by a candidate’s experience, job‑related skills and relevant education or training. Please note that changes in work location may impact the final offered salary. Worldpay is an equal‑opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status and other protected characteristics. The EEO is the Law poster is available here. If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process and to allow the individual to perform the essential functions of the job, if hired. #J-18808-Ljbffr

Global Payments Inc. is seeking a Principal Data Scientist to scale our Data Science and AI efforts. You will collaborate with ML software engineers, product managers, and delivery teams to deploy models into production and optimize the end-to-end payment process. You will balance strategic leadership with hands-on contribution, shaping architecture, guiding roadmaps, and mentoring senior DS/ML engineers while communicating complex ideas to executives and stakeholders across the business. #J-18808-Ljbffr

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. • Flexible paid time off, • Hybrid work schedule, • 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution, • Health & wellbeing benefits, • Parental Leave benefits, • Employee stock purchase plan Your Role The Advanced Engineering team is Invesco’s AI center of excellence, driving innovation through IVYGPT, agentic AI frameworks, and business-sponsored GenAI solutions that improve efficiency across the firm. The team also promotes AI adoption through meetups, hackathons, and cross‑functional collaboration. We are seeking a Principal Data Scientist in Atlanta to design, build, and validate agentic AI systems that solve complex financial challenges. Using tools such as Copilot Studio, LangGraph, Cortex, and AgentCore, you will create multi‑agent workflows, develop evaluation frameworks, and lead AI initiatives from concept to production. This role is ideal for a hands‑on leader who thrives on building, testing, and scaling AI solutions. • Leading and collaborating with software engineers, data engineers, and investment professionals to build innovative AI‑based tools using structured and alternate data sources., • Designing and implementing complex reasoning loops using frameworks like LangGraph, LangChain, or AgentCore, transforming static LLMs into dynamic, goal‑oriented agents., • Developing robust evaluation frameworks and “gold‑standard” datasets to measure the performance, faithfulness, and accuracy of generative outputs., • Scaling AI initiatives and agentic development across Invesco Technology teams by creating reusable patterns, prompt templates, agentic harnesses, skills, and subagents with GitHub Copilot and Claude Code., • Collaborating with full stack engineers to integrate AI models into business workflows, using AI‑assisted coding to move from a notebook experiment to a functional microservice in record time., • Implementing systematic testing (e.g., RAG evaluation, stress testing) to ensure AI solutions meet the high compliance and reliability standards of the financial services industry., • Applying emerging techniques in prompt engineering, fine‑tuning, and multi‑agent systems to solve unique business challenges., • 7–10 years of demonstrated experience in data science or machine learning, with a strong emphasis on Natural Language Processing (NLP) and Generative AI., • Strong foundation in Python and cloud‑native development; you write clean, modular code and are comfortable with Docker, CI/CD, and DevSecOps., • Exposure to or high enthusiasm for learning LangGraph, LangChain, Copilot Studio, or AgentCore with Strands., • Familiarity with creating evaluation metrics and building datasets for model validation and testing., • Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries., • A desire to work at the intersection of data engineering and full‑stack development, with the agility to pivot based on rapid sprint feedback. Full time, pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October1,2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. Invesco’s culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age or veteran status. Our equal‑opportunity employment efforts comply with all applicable U.S. state and federal non‑discrimination laws. #J-18808-Ljbffr

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Postdoctoral Fellow Gordon Lab - Emory University, Atlanta USA Position Description: The Gordon Laboratory seeks a motivated Postdoctoral Fellow to spearhead cutting-edge metabolomics studies focused on developing ovarian cancer diagnostics and therapeutics. Ovarian cancer is among the most fatal cancers for women. Since it is often detected at a late stage (Stage 3 / 4), these patients suffer from very poor survival rates, therefore early detection of ovarian cancer is essential for improving clinical outcomes. Ovarian cancer is also characterized by drug resistance, therefore new treatments for ovarian cancer are crucial for improved outcomes. This project will utilize cutting edge metabolomics, proteomics, and cell-based functional assays. Minimum qualifications include: • Metabolomics mass spectrometry and metabolomics data analysis Preferred qualifications include: • Cancer model systems (e.g. animal models, organoids, cell culture models, relevant functional assays)., • Proteomics mass spectrometry and/or proteomics data analysis, • Biochemistry expertise (e.g. protein interaction studies, HPLC operation, etc.), • Molecular biology and experimental genetics (siRNA, CRISPR, PCR, DNA cloning, etc.), • DNA sequence analysis (Snapgene, Geneious or other DNA analysis tools), • Experience analyzing large datasets The Gordon Lab pioneers advanced mass spectrometry, experimental genetics, and computational approaches to map biochemical networks and functional pathways, and leverages this information for improved therapeutics. Based in the Emory University Department of Pathology and Laboratory Medicine we have ample access to primary tissue samples, and our affiliation with the Winship Cancer Center Discovery and Developmental Therapeutics Program supports translation of our research into therapeutic approaches. Additionally, our affiliation with the Pathology Translational Research Unit provides extraordinary collaboration opportunities towards data-driven analyses and synergy with world-leading immunologists. Lastly, our work with Georgia Tech through the Center for the Study of Systems Biology (CSSB) and the Coulter Department of Biomedical Engineering enables transformative collaborations in technology development, including computational prediction of molecular interactions. Notably, our research program includes academic, nonprofit, and industry collaborations. Our Culture: We strongly believe that the best science emerges from an environment of generous collaboration, reinforced by a culture of learning, curiosity, and the sharing of skills and advice. In considering new members of our group, we value a positive can-do attitude, evidence of previous success in laboratory environments, and attention to detail. This is a superb opportunity for a sharp scientist to rapidly develop new research skills and spearhead impactful projects in a supportive learning environment. Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance. Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week's advance notice is preferred.

Ideal Qualifications - 1+ years of professional data science experience - Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent) - Strong command of Python, SQL, statistical modeling, machine learning, experimentation and

At Nebo, we believe in bringing a human-centered approach to search engine optimization. We're looking for smart and talented SEO Specialists who are part Macgyver, part data scientist, part creative thinker, and love all things search. If you track search algorithm updates like a ranger and are obsessed with search intent, then the SEO team at Nebo might be your new home. We're looking for someone to contribute to our search engine optimization team through the creation of a variety of deliverables including keyword strategies, complete website audits, and creative marketing campaigns. The right person has a thorough understanding of technical SEO plus a larger understanding of interactive marketing strategy and maybe loves dogs. Being an SEO Specialist at Nebo Nebo is a human-centered agency built on a culture of respect, professional growth and care for every employee. With numerous perks, including hybrid in-office/remote work or fully remote work options designed to fit your needs, unlimited PTO, and free attendance to local marketing events, join this fun-loving team that occasionally talks Slack Smack. Duties • Create highly refined keyword strategies that lay the foundation for the rest of a client's SEO project, • Undertake meticulous research to understand the compatibility of brand and keyword strategy, • Have an understanding of on-page optimization best practices, • Perform thorough, detailed website analysis, identifying current problems and opportunities, with a focus on on crawlability, site architecture and site content, • Perform competitive research, identifying what the client's competitors are doing right, what they're doing wrong, and how these tactics influence the client, • Conduct research for off-page SEO campaigns that drive awareness and indicate relevance to the search engines, • Stay up to date on current industry practices, news, and algorithm updates Skills & Experience • 1+ years of SEO experience, • Working knowledge of HTML, CSS, and structured data markup, • The ability to write coherent, compelling copy that is not only keyword-rich, but also user-friendly, • Experience with SEO tools including, but not limited to, Google Search Console, Screaming Frog, and AHREFs, • Experience with Google Analytics, Google Ads, a variety of content management systems, and other industry-specific tools, • Bachelor's Degree in area of practice or related field Nebo's Commitment to Diversity & Inclusion As a human-centered agency, we believe in uplifting our community and advancing society through inclusive business practices. We're dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status.

We're looking for a Strategic HR Business Partner who operates less like a generalist and more like a trusted business advisor who happens to know HR deeply. You'll embed with our leadership team and bring sharp thinking across the full employee lifecycle from org design and talent strategy to compensation philosophy, performance culture, and data-driven workforce decisions. This role is for someone who has done the work across multiple HR disciplines, thrives in fast-moving environments, and isn't afraid to challenge the status quo. This is a high-visibility role at a company where HR has a seat at the table and we expect you to use it. • Serve as a trusted advisor to senior leaders across one or more business units, translating business goals into people strategies that drive performance and growth, • Anticipate talent risks and opportunities before they become problems, and bring solutions not just analysis, • Partner with Talent Acquisition, Benefits, Immigration, HRIS, Payroll, and Org Development functions to provide strategic and real-time support of business., • Serve as the primary HR point of contact for all employment?based immigration matters, including H?1B, TN, STEM OPT, E?3, L?1, and permanent residency sponsorships, • Partner with external immigration counsel to manage case initiation, filings, extensions, amendments, and status changes, • Lead and continuously evolve performance management programs that are rigorous, fair, and tied to business outcomes using an OKR framework, • Drive calibration processes that build a high-performance culture while maintaining equity and consistency, • Partner with managers on career pathing, succession planning, and internal mobility, • Act as a working expert on compensation design you can model a salary band, evaluate market data, and advise on offer strategy with confidence, • Partner with Finance and HR Leaders on headcount budgets, merit cycles, and equity refresh programs where applicable, • Advise leaders on compensation decisions that balance internal equity with competitive positioning in a talent-competitive fintech market, • Manage complex, sensitive ER matters with sound judgment, legal awareness, and a commitment to fairness, • Navigate employment law across multiple jurisdictions (U.S. multi-state experience required; Canadian experience a plus), • Identify ER patterns and systemic risks, bringing proactive recommendations to leadership, • Build and interpret people analytics dashboards attrition trends, engagement signals, DEI metrics, span of control, flight risk and use data to shape your recommendations, • Champion the use of AI and automation tools within HR workflows, acting as an internal advocate for modern, efficient HR delivery, • Collaborate with internal HR Resources to design and execute engagement survey programs end-to-end, from instrument design to action planning using Lattice as the survey tool, • Work with leaders to build inclusive, psychologically safe team environments that retain top talent, • Translate engagement data into targeted, measurable interventions not just slide decks, • 812+ years of progressive HR experience, with meaningful depth across at least four of the following: compensation, performance management, employee relations, people analytics, talent management, DEI, organizational design, or AI/HR tech, • Experience supporting fast-scaling, tech-forward companies; fintech, SaaS, or financial services background strongly preferred, • Demonstrated ability to work at both the strategic and operational level you can present to a leadership team and also fix a broken process, • Strong command of employment law and compliance, particularly across U.S. states, • Comfort with data you don't need to be a data scientist, but you should be able to build a pivot table and formulas in Excel, read a regression output, and tell a story with numbers, • Hands-on experience with HR technology platforms (HRIS, ATS, performance tools) and genuine curiosity about how AI is reshaping HR work, • High emotional intelligence, executive presence, and the ability to influence without authority at the senior leader level Our compensation structure is designed to reflect the cost of labor across various U.S. geographic markets. The base salary for this role ranges from $80,000 per year to $125,000 per year. Compensation will be determined by several factors, including relevant knowledge, skills, and experience. This role is also eligible to receive an annual bonus within a comprehensive total rewards package, alongside a full suite of medical, dental, vision, disability insurance, life insurance, 401k retirement benefits, paid time off, paid holidays, and paid personal/sick time. We anticipate that this position will remain open for at least 5 days, and candidates are encouraged to apply through our internal or external career sites. GreenSky is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.

BLEW is excited to announce an opening for a Staff Scientist specializing in Environmental Assessments. In this role, you will be instrumental in managing projects that involve both environmental and physical property condition assessments across the United States. This is a fantastic opportunity to grow within the commercial real estate due diligence industry. We are seeking candidates who have the ability to perform one or more of the following types: • ESA, • PCA, • ESA/PCA Dual, • FMAC ESA / FMAC PCA / FMAC Dual, • FNMA SBL ESA / FNMA SBL PCA / FNMA SBL Dual, • RADON, • EQUITY PCA, • ASM Sampling, • MEP/HVAC, • LBP Assessment, • Construction, • Phase II, • Seismic Risk Responsibilities include: • Conduct and prepare Environmental Site Assessments (ESA, PCA, or other reports for which you are qualified as listed above)., • Provide clear, well-supported recommendations and solutions to Managing Directors and clients while understanding how assessments impact transactions., • Oversee quality control throughout project lifecycles., • Conduct site visits and lead fieldwork activities., • Write Report., • Perform research (historical, regulatory, etc.) and compile supporting data., • Communicate with clients and site representatives., • Prepare professional supporting documentation (figures, appendices, etc.)., • Other tasks as assigned by the Managing Director related to report deliverables and schedules.

Profitero is the leading digital commerce analytics platform, helping the world's biggest CPG brands win on the digital shelf. We track what shoppers see and buy across more than a thousand retailers in 70 countries and turn that data into decisions and we are looking for an Associate, Commercial Operations to help us make that happen! As a part of our Commercial Operations team, you will support some of our most strategically important client relationships. You'll partner closely both with internal cross-functional data acquisition, data quality, and account management teams as well as client partners themselves to ensure the quality and accuracy of our client's product data, information, and categorization within Amazon and other digital retail media ecosystems. You'll receive spreadsheets containing large volumes of structured product data and sales information and help to make sense of that information using AI tools, Python scripts, and good old-fashioned Excel functions and formulas. You'll monitor our existing SLAs and review reporting to ensure that we can identify and proactively address any potential issues. Note that isn't a strategy or insights role this is about data attribution and governance. Maximizing the quality and cleanliness of the data that we have, understanding what data we don't have, and objectively interpreting that data to ensure that our strategy and analytics teams (and our clients!) have the best, most accurate, and highest-quality information possible in order to be able to develop meaningful and actionable insights, recommendations, and strategies using that data. This is also not a role where you'll spend your days making decks. You'll be in the data, coordinating across teams, tracking commitments, and making sure our largest clients get what they signed up for. You don't need to be a developer, engineer, or data scientist to be successful in this role nor do you need a deep background in digital retail or ecomm. But you DO need to be comfortable with technology, excited about learning new systems and tools, passionate about data, and interested in how companies use that data to drive their business forward if that sounds like you, we can teach you the rest. So why choose this role? • You'll have a front-row seat to how enterprise data analytics partnerships actually work at scale and will get broad and meaningful exposure FAST. On any given week, you might be analyzing documentation to enhance an AI-built python script, investigating data discrepancies for a major global brand's Amazon sales, preparing a governance scorecard for a bi-monthly global operating committee, and coordinating with engineering teams to pinpoint problems that require fast, adaptive work to solve. That variety is the point we're a lean team, and we do real work., • You'll also be working at the intersection of operations and data quality at a moment when both are high-stakes for Profitero. Our enterprise clients hold us to demanding SLAs with financial consequences for non-compliance. The work you do has direct bearing on client outcomes and contract renewals. PLEASE NOTE: There are no specific geographical requirements for this role; highly qualified candidates from any US-based location who are willing to work an ET/CT schedule will be considered and are encouraged to apply. Candidates who are local or commutable to a market where Profitero has an office will be expected to work in a hybrid capacity with anticipated onsite engagement an average of 3-4 days/week. ALSO NOTE: We are not able to provide sponsorship support for this role now or in the future. No third-party staffing agencies, please. • Data Attribution & Quality Engineering, • A core part of this role is making client data better, not just flagging when it's wrong, but doing the hands-on work to fix it., • You'll investigate item-level accuracy issues, trace them to root cause, and use Excel, Python, and AI-assisted workflows to clean, reclassify, and validate product attributes at scale., • As client category standards and naming conventions evolve, you'll translate that feedback into structured data rules that can be applied systematically, building attribution that is more accurate and more durable over time., • SLA Monitoring & Compliance Tracking, • Profitero operates under detailed, contractually binding Service Level Agreements with enterprise clients - your job is to make sure we see issues before our clients do., • You'll monitor data availability, reporting lag, and accuracy performance across accounts, track SLA thresholds, and maintain a live view of where each account stands against its quarterly commitments., • Client Governance Support, • Our largest clients operate through structured governance frameworks: executive committees, global operating committees, and technical data quality councils., • You'll prepare scorecards, performance summaries, and issue trackers for regularly scheduled meetings, draft business-friendly summaries of data quality issues written for stakeholders who need to understand impact rather than technical detail, and track action items out of governance forums to make sure they get resolved., • 1+ year of professional experience in data, analytics, research, analysis, product management, or a similar field; prior experience working alongside the CPG, retail, and/or marketing industries preferred., • Bachelor's degree in business, data analytics, economics, information systems, or a related field; experience may be substituted., • Comfort and experience working with data, AI, and technical tools., • Strong analytical skills with ability to parse, interpret, and synthesize data., • Advanced proficiency in Excel with the ability to interpret, storyboard, and present data effectively; exposure to and experience in specialized data and reporting tools including Snowflake, JIRA, SQL, and/or Python strongly preferred., • Familiarity with ecommerce, CPG, or digital shelf analytics preferred., • Experience working in a client-facing capacity (internships count!)., • Exceptionally organized with a fanatical attention to detail., • Naturally curiosity around how things work understanding data pipelines, client contracts, operations workflows excite you., • Comfort operating with a high level of ownership, autonomy, and accountability., • A natural sense of urgency with an ability to work quickly, efficiently, and accurately within tight deadlines and constantly-evolving project parameters, scope, and goals., • Flexible and adaptable with an ability to work successfully across multiple concurrent projects and competing priorities., • Highly collaborative but independently capable., • Strong written and verbal communication skills and comfort participating and presenting in client meetings; you can turn a messy situation into a clear, organized summary.

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. 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. 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. • 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.

Overview and Summary We are Automotive Business Scientists. We empower our clients to turn overwhelming industry data into discovery, action and measured success. We are unique market leaders because we find and examine possibilities through the clarity of a scientific lens. To solve the toughest client challenges, we need curious, creative and dedicated people to join our team. We search out individuals who align with our core values and who adhere to the highest standards of integrity and ethics in everything they do. Our company is filled with the brightest minds and the biggest hearts at every level. We recognize that personal success takes on many different forms of the course of our lives - both professional and personally - so we provide a myriad of benefits and programs focused on Wellbeing, Growth, Community and Recognition. One size does not fit all, so we encourage every Urban Scientist to discover their own formula for success. If this sounds like the kind of company you would like to work with, Apply Now! POSITION OVERVIEW: This position will provide operational support for an industry-leading sales analysis solution that enables quick and easy analysis of geography and segment KPIs against competitors for a major automotive manufacturer. This role supports the delivery of client services and use of technical skills to maintain software and database systems and create regular reporting deliverables. Additionally, it requires providing analysis and reporting on key metrics for the platform's stakeholders. The position emphasizes technical and client-handling skills to carry out high-quality projects and tasks with precision and timeliness. The most commonly used technical tools in this position include SQL, advanced excel, and proprietary software. URBAN SCIENCE DOES NOT AND WILL NOT PROVIDE IMMIGRATION RELATED SPONSORSHIP FOR THIS ROLE, NOW OR IN THE FUTURE. The ideal location for candidates is the Atlanta area, and they must be prepared to travel to the Atlanta, GA office as needed. Initial training may require additional attendance to the Atlanta office for hands-on learning experiences. This role has current Hybrid Workplace flexibility local to our Atlanta, GA office. Candidate must be available and willing to work in-person two days per week and attendance at monthly team meetings at the local office are essential for this role's success. Essential Duties and Responsibilities • Plans, organizes, develops and delivers client-requested reports, deliverables and projects on time, adhering to client requested specifications., • Designs, creates and manages client databases, utilizing Urban Science proprietary software, ensuring accurate and high quality data., • Accurately performs application coding and testing functions associated with the development of custom client software., • Tracks, processes, analyzes and verifies data in order to improve accuracy and quality., • Use technical skills to accurately monitor, update and maintain Urban Science internal software systems., • Adheres to quality control standards for Urban Science and client organizations., • Coordinates with individuals or teams to complete analyses, tasks and projects on time and with high quality., • Effectively responds to client inquiries/requests in a timely manner to help improve client satisfaction., • Proactively communicates with management to provide updates and report issues in a timely manner., • Actively works with manager to understand and implement solutions to improve NPS (client satisfaction)., • Actively supports and participates in required Urban Science training programs to achieve targeted development objectives., • Works with manager in completing own annual goal setting and performance review in a timely manner., • Works with manager to prioritize other duties as assigned. Qualifications - Education and Experience To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, ability and/or competency needed for successful performance in the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Verbal Communication: Requires the ability to compose and verbally deliver information of varying levels, using appropriate grammar, tone, inflection and non-verbal cues, while also listening to and correctly deciphering verbal communication delivered by others, • Written Communication: Requires the ability and capacity to communicate ideas, facts and data in writing using appropriate grammar, syntax and sentence structure, • Analytical Thinking: Requires the ability to understand a situation by breaking it apart into smaller pieces, and/or tracing the implications of a situation in a step-by-step causal way, • Results Oriented: Requires the ability to strive for optimal results by taking responsibility for timeliness, commitment to task and adherence to performance standards, • Ethics & Integrity: Requires the ability to behave in a trustworthy & transparent manner, • Teamwork & Cooperation: Requires the ability to work cooperatively with others and be part of a team, • Self-Control: Requires the ability to keep emotions under control and to restrain from negative actions or behaviors, • Math & Statistics: Requires knowledge of basic descriptive statistics and ability to execute simple statistical analyses, create scatter plots, bar charts and histograms; requires ability to apply the right mathematical methods or formulas to solve a problem, • MS Office: Requires demonstrated knowledge of MS Excel for charting and graphing of data, writing formulas, utilizing functions, and filtering, sorting and formatting of data; intermediate knowledge of MS Word, PowerPoint, and Access is preferred, • Database: Working knowledge of relational database concepts, which require gathering and manipulating data manually is preferred; knowledge and experience with SQL is preferred EDUCATION and/or EXPERIENCE: University degree required; technical degrees are strongly preferred (i.e., engineering, applied math, statistics, applied science, information systems, operations research, etc.) from an accredited college or university, or equivalent foreign institution. Non-technical degrees will be considered if candidate possesses appropriate level of analytical and technical knowledge required for the role CERTIFICATES, LICENSES, REGISTRATIONS: Progress towards: • Apprentice level certification for one practice area, • Urban Science Ambassador, • Statistics 1 & Basic Statistics Assessment (or external equivalent), • Intro to Operations Research (or external equivalent) WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description is intended to describe the type and level of work being performed by a person assigned to this position. It is NOT an exhaustive list of all duties and responsibilities required by a person so classified. The job may require additional hours beyond the normal 40-hour workweek.

Emory Medical Laboratory's mission is to transform health and healing by providing high quality, cost-effective, innovative laboratory services which enhance patient health. We're seeking an experienced Medical Lab Scientist II/ Medical Technologist II with a Blood Bank & Transfusion Service background. Shift: PRN, Varied Shift, Sunday - Saturday, Flexibility Required Salary: This position pays a flat rate of $42/hr Be inspired. Be rewarded. Belong. At Emory Healthcare. At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide: • Comprehensive health benefits that start day one, • Student Loan Repayment Assistance & Reimbursement Programs, • Family-focused benefits, • Wellness incentives, • Ongoing mentorship and leadership programs, • And more! All levels of experience and education will be considered for this posting. • Performs standardized and semi-routine biological, chemical, hematological, immunological, immunohemotological, microbiological, and serological tests in a research or clinical laboratory., • May perform tests in one scientific discipline or perform selected tests in multiple disciplines., • Provides guidance to lower level technologists and assists in administrative activities, staff and student education, research and/or safety and infection control programs., • Performs other related duties as required., • Properly uses laboratory equipment such as computers, centrifuges, balances, microscopes, spectrophotometers, auto-analyzers, cell counters, pH meters, and blood gas analyzers., • Calibrates, performs preventive maintenance, and troubleshoots equipment and instrument malfunctions., • Communicates with service representatives when necessary to correct malfunctions., • Prepares reagents as needed., • Monitors inventories; advises when supplies need to be reordered., • May set up new equipment., • Works with manager to formulate plan for professional development., • Attends educational in-services as appropriate., • Participates in professional activities and organizations to maintain knowledge of current trends, practices, and developments., • Enters test results into computer., • May be responsible for section's data base files., • Maintains accurate and complete documentation of patient information, equipment, and test results to comply with regulations., • Documents corrective actions taken for out of range test values., • Maintains clean, orderly and safe work area., • Complies with hospital and laboratory safety and infection control polices and procedures to prevent exposure to infectious materials., • May serve on laboratory's safety committee; write and maintain safety and infection control policies and procedures and Material Safety Data Sheets., • May monitor staff during safety compliance audits or drills., • Educates staff and students by demonstrating procedures and assisting in orientation and continuing education activities., • May teach medical technology theory and techniques; develop teaching plans and student assessment tools; prepare written examinations., • Ensures collection of adequate and acceptable specimens., • Analyzes patient specimens using standard and moderately complex laboratory tests., • Performs selected procedures on specimens., • Performs required calculations., • Reports results by phone and/or computer., • Evaluates the validity of test results; compares to previous results and other laboratory data., • Identifies critical values and confirms results by alternative methods., • In complex cases, evaluates all information and determines whether test results should be released, repeated, or referred to a pathologist., • Audits computer reports to ensure that scheduled tests have been completed., • Assists in gathering data to monitor quality improvement standards and in preparing reports. May perform venipuncture or capillary puncture to obtain blood specimen., • May independently research and assist in development of new procedures; compile and evaluate data and perform statistical analyses. MINIMUM QUALIFICATIONS: • Bachelor's degree in medical technology, clinical lab science or a chemical, physical or biological science., • Other bachelor's degree will be accepted if graduated from an accredited school of medical technology or if science and math coursework meet requirement of certifying agency., • Bachelor's degree may be waived for a medical technologist who was ASCP certified in the years prior to the bachelor's degree requirement by ASCP and a HEW/HHS technologist certified by Health and Human Services., • Two years of medical technology experience. (Medical Laboratory Technician experience is pro-rated)., • Certification by one of the following accreditation agencies: MT (ASCP), MLS(ASCP) or categorical, MT(NCA), MT(AMT), MT(HHS or HEW), CHT(ABHI), CHS(ABHI), MT (AAB), generalist or categorical if applicable. PHYSICAL REQUIREMENTS (Medium): 20-50 lbs; 0-33% of the work day (occasionally); 11-25 lbs, 34-66% of the workday (frequently); 01-10 lbs, 67-100% of the workday (constantly); Lifting 50 lbs max; Carrying of objects up to 25 lbs; Occasional to frequent standing & walking, Occasional sitting, Close eye work (computers, typing, reading, writing), Physical demands may vary depending on assigned work area and work tasks. ENVIRONMENTAL FACTORS: Factors affecting environment conditions may vary depending on the assigned work area and tasks. Environmental exposures include, but are not limited to: Blood-borne pathogen exposure Bio-hazardous waste Chemicals/gases/fumes/vapors Communicable diseases Electrical shock, Floor Surfaces, Hot/Cold Temperatures, Indoor/Outdoor conditions, Latex, Lighting, Patient care/handling injuries, Radiation, Shift work, Travel may be required. Use of personal protective equipment, including respirators, environmental conditions may vary depending on assigned work area and work tasks. Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare's Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.

Position Summary The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now! Recruiting for this role ends on May 31, 2027. What you'll do As a Manager in Deloitte's Legal Business Services team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency by leveraging numerous applications. Responsibilities include: Client Management: Participate in the day-to-day interactions with client's project team members and Deloitte project leadership members. Delivery: Work with a team to optimize tax and legal process, leveraging technology to align tax and legal software with the clients' specific requirements and goals. Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments. Support: Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes. Project Management: Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls. Cross Functional Teaming: Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically. People Development: Participate in the development of team members. Business Development: Participate in and contribute to pursuit teams. The team At Deloitte Tax LLP, our Tax Technology Consulting (TTC) practice helps tax departments pursue a streamlined, transparent, and efficient tax function that enhances the core responsibilities of compliance, reporting and planning, while also positioning tax as a strategic business advisor for the digital era. We specialize in tax and can effectively address a corporate tax function's unique needs, requirements and obligations. As technology specialists, we help clients make appropriate technology choices for both direct and indirect taxes across all business cycles that have a tax impact tax. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with a successful ERP implementation. Deloitte TTC professionals are aligned across our global network of member firms to support our clients' objectives and address their challenges. Our team's multi-disciplinary approach combines tax technical and technology skillsets, enabling greater impact and efficiency within our client's organization. TTC's business services help clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, tax portal, cloud for enterprise systems, agile resourcing models, risk, provision and compliance. Qualifications Required: Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week Limited immigration sponsorship may be available 5+ years' experience with legal and/or technology solutions Bachelor's degree in technology, business, accounting, legal or related field Experience with one or more of the following: Implementation experience with Agiloft, SirionOne, Icertis or any other CLM (contract lifecycle management) software Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others Experience with DocuSign CLM or Salesforce configuration One of the following active accreditations obtained: Licensed CPA in state of practice/primary office if eligible to sit for the CPA If not CPA eligible: Licensed Attorney (or foreign equivalent) Enrolled Agent PMP (Project Management Certification) Contract & Commercial Management (CCM) Certification Program Certified Financial Analyst (CFA) Procurement/Legal Procurement or SAS Certified Data Scientist Paralegal Certification with a 4-year degree Technical Certifications: Six Sigma (Black Belt and Green Belt) DocuSign (Workflow Manager, E-signature, CLM, etc.) iCertis Thomson Reuters (Legal Tracker, High Q, or Contract Express) Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: Advanced Degree in any of the above fields Experience with template rationalization and harmonization, guide or playbook creation and the design of the contracting processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,475 to $274,750. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Tax LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 353345 Job ID 353345

Make your mark for patients We are looking for a Regulatory CMC Scientist to join us in our Global Regulatory team, based in our Raleigh, NC, or Atlanta, GA offices. Define the strategy, planning and preparation (writing and review) of CMC submission documentation for regulatory submissions (new marketing applications, variations) from a global/regional perspective to achieve timely approvals to meet business needs. You will work within the Regulatory CMC team and partner with other technical and regulatory functions across the business. Responsible for regional and global CMC submissions in line with agreed global regulatory strategy, and within agreed timelines. Contribute and ensure adequate provision of regulatory CMC input to all Health Authority (HA) interactions on CMC matters in all regions Ensures effective communication of CMC regulatory strategy, risks, and overall plan to GRA Teams, Technical, Development and Commercial Teams Highlights anticipated and ongoing critical issues arising through the product life cycle in a timely manner to senior management to enable communication to key stakeholders Lead or contribute to ongoing process improvement and department initiatives within the CMC Regulatory Affairs function, including process improvements, SOP review and development, and evaluation/implementation of digital strategies and tools. I nterested? For this position you'll need the following education, experience and skills : Bachelor's degree, Master's preferred in a relevant life science or business-related discipline Demonstrated ability to leverage digital tools, structured data, and regulatory information systems to enhance CMC and Device regulatory strategy, submission quality, lifecycle management, and decision?making across global markets Significant relevant experience in the pharmaceutical industry preferably in Regulatory Affairs CMC with focus on biological entities Proven track record of successful authoring and contribution to delivering CMC sections of marketing authorisations for new biological entities Knowledge of GMP requirements, standard systems (e.g. change management systems and tools) Effective interpersonal, presentation and communication skills with established internal and external stakeholders Proven leadership, problem-solving ability, flexibility, influence, and effective teamwork skills. Are you ready to 'go beyond' to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! About us UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9,000 people in all four corners of the globe, inspired by patients and driven by science. Why work with us? At UCB, we don't just complete tasks, we create value. We aren't afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We 'go beyond' to create value for our patients, and always with a human focus, whether that's on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we've embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

Overview Emory Medical Laboratory's mission is to transform health and healing by providing high quality, cost-effective, innovative laboratory services which enhance patient health. We're seeking an experienced Medical Lab Scientist / Medical Technologist II with a Microbiology background. Shift: Part-Time, 8am - 4:30pm (20 hours/weekly) Be inspired. Be rewarded. Belong. At Emory Healthcare. At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide: Comprehensive health benefits that start day one Student Loan Repayment Assistance & Reimbursement Programs Family-focused benefits Wellness incentives Ongoing mentorship and leadership programs And more! All levels of experience and education will be considered for this posting. Description Performs various laboratory tests and procedures while adhering to standard operating procedures on patient specimens to assist in the diagnosis, study and treatment, or prevention of disease. Upholds the values of the organization including providing and demonstrating exemplary customer service skills throughout the preanalytical, analytical and post analytical processes. May perform tests including but not limited to standardized and semi-routine biological, chemical, hematological, immunological, immunohematological, microbiological, and serological tests in a research or clinical laboratory. Performs preventive maintenance on laboratory instruments and calibrates equipment and instruments as required. Operates laboratory equipment and troubleshoots equipment and instrument malfunctions. May serve as key operator for implementation of new equipment and procedures. Prepares reagents as needed. Monitors and ensures adequate inventory supply. May be responsible for ordering. Responsible for quality control. Assists in gathering data to monitor quality improvement standards and in preparing reports. Evaluates the validity of acceptable specimens and test results; compares them to previous results and other laboratory data. Identifies critical values, confirms and reports following standard operating procedures. In complex cases, evaluates all information and determines whether test results should be released, repeated, or referred to a pathologist. Refers abnormal or unexpected results to the appropriate individual(s). Maintains accurate and complete documentation of patient information, equipment, and test results to comply with regulations. Documents corrective actions taken for out of range test values. Maintains clean, orderly and safe work area. May serve on laboratory's safety committee; write and maintain safety and infection control policies and procedures, and ensure correct Safety Data Sheets are maintained. Complies with hospital and laboratory safety and infection control policies and procedures to prevent exposure to infectious materials. May monitor staff during safety compliance audits or drills. Performs required calculation and reports results by phone and/or computer. Audits computer reports to ensure that scheduled tests have been completed. Assists in gathering data to monitor quality improvement standards and in preparing reports. May independently research and assist in development of new procedures; compile and evaluate data and perform statistical analyses. May be responsible for section's data base files and/or assist in software testing. Educates staff and students by demonstrating procedures and assisting in orientation and continuing education activities. May teach medical technology theory and techniques while providing guidance to lower level technologists; develop teaching plans and student assessment tools; prepare written examinations. Attends educational in-services as appropriate. Maintains certification as required. Works with leader to formulate plan for professional development. Participates in professional activities and organizations to maintain knowledge of current trends, practices, and developments. May perform venipuncture or capillary puncture to obtain blood specimen. Perform other related duties as required. MINIMUM QUALIFICATIONS: Bachelor's degree in Medical Laboratory Science or Medical Technology, or a chemical, physical or biological science. Other bachelor's degree will be accepted if graduated from an accredited school and science and math coursework meet requirements of certifying agency. Bachelor's degree may be waived for a medical technologist who was ASCP certified in the years prior to the bachelor's degree requirement by ASCP and a HEW/HHS technologist certified by Health and Human Services. Certified by one of the following accreditation agencies: MT (ASCP), MLS (ASCP), MT (AMT), MT (HHS or HEW), MT (AAB), generalist or categorical if applicable. Two years experience required. PHYSICAL REQUIREMENTS (Medium): 20-50 lbs; 0-33% of the work day (occasionally); 11-25 lbs, 34-66% of the workday (frequently); 01-10 lbs, 67-100% of the workday (constantly); Lifting 50 lbs max; Carrying of objects up to 25 lbs; Occasional to frequent standing & walking, Occasional sitting, Close eye work (computers, typing, reading, writing), Physical demands may vary depending on assigned work area and work tasks. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare's Human Resources at careers@emoryhealthcare.org. Please note that one week's advance notice is preferred.

Job DescriptionDescription: U.S. Soccer Overview The U.S. Soccer Federation exists in service to soccer. Our aim is to ignite a national passion for the game. Because we believe that soccer is more than a sport; it is a force for good. We understand the importance and the power of teamwork, on and off the pitch. That is why we work closely with our Federation partners and members, to inspire, support and guide every level of the game: from the grassroots to the National Teams. We want to bring soccer into every home and every community, right across America. Because we believe that soccer can transform lives like no other sport. Soccer can represent the best of U.S. U.S. Soccer is in a period of significant growth, with ambitious plans for U.S. Soccer in the near and far future. We are, therefore, looking for dynamic servant leaders to join us on this journey: in service to soccer. Applicants must be able to demonstrate visionary leadership, analytical decision-making, professional flexibility, and an empathic management style that builds bold teams and delivers globally significant results. Position Description U.S. Soccer is establishing a Performance Innovation Lab at its new National Training Center in Fayetteville, Georgia. Funded in partnership with Nike, Inc., this initiative is designed to advance the science and practice of elite soccer performance across all 27-U.S. Soccer National Teams—from youth development through senior international competition. Nike is seeking an applied research and innovation specialist with a strong foundation in sport science and experience working in elite high-performance environments. The ideal candidate will combine scientific thinking with practical delivery, contributing to applied research initiatives while supporting the development and operation of the Performance Innovation Lab at US Soccer’s Arthur M. Blank National Training Center, as well as other Nike initiatives and sponsored athletes. This role sits at the intersection of elite applied sport science and rigorous research, and given its location, will be embedded within U.S. Soccer’s daily operations while maintaining a strategic research agenda that generates new knowledge for the federation, its athletes, and the broader U.S. soccer ecosystem. As a Nike position, the role will also support select non-soccer Nike initiatives and athletes who access the facility and Performance Innovation Lab, creating cross-sport research opportunities. Employment Notice This position is employed by Nike, Inc. Although posted on U.S. Soccer's career site and based at the U.S. Soccer Arthur M. Blank National Training Center, the successful candidate will be employed solely by Nike and will be subject to Nike's employment policies, benefits, and handbook. Collaboration with and day-to-day direction from U.S. Soccer personnel does not create an employment, joint employment, agency, or contractual relationship with U.S. Soccer, which assumes no liability for employment-related matters associated with this role. By submitting an application for this position, applicants acknowledge that they have read and understand this Employment Notice. Primary Responsibilities The Sport Scientist—Researcher-Practitioner will operate across two interconnected domains: Applied Research (approximately 50–60% of time) • Support the design and execution of applied research projects aligned with performance priorities, including data collection, analysis, and interpretation, • Develop and maintain a multi-year research agenda aligned with federation performance priorities and Nike’s innovation interests, • Build longitudinal datasets—including biomechanical profiles—spanning youth through senior levels across men’s and women’s programs, • Identify cross-team performance patterns, developmental benchmarks, and evidence-based recommendations for coaching and performance staff, • Pursue external collaborations with universities, research institutions, and sport science organizations to extend the reach and rigor of the research program, • Present findings to internal stakeholders, at professional conferences, and through peer reviewed publication Practitioner Services (approximately 40–50% of time) • Deliver biomechanical and performance science assessments to National Teams during training camps and residencies at the Arthur M. Blank National Training Center, • Develop standardized assessment protocols and normative databases that can be administered across all 27 teams, including by other qualified staff, • Support Integrated Performance Support and Sporting staff by providing evidence-informed insights contributing to training, loading, recovery, and performance optimization decisions, • Support select Nike-sponsored athletes from other sports who access the lab and campus, facilitating cross-sport data collection and innovation, • Female 360: Contribute expertise to the design and delivery of U.S. Soccer's Female 360 health assessments and initiatives, supporting a holistic, athlete-centered approach to women's health and performance, • Contribute to the development of a scalable service model delivered through the Performance Innovation Lab (e.g., testing, profiling, applied workshops, educational visits), • Translate research insights into practical, actionable tools and recommendations for coaching and performance staff Lab & Campus Innovation • Support the procurement, commissioning, and ongoing execution of projects at the Performance Innovation Lab at the US Soccer Arthur M. Blank National Training Center, • Drive the “campus-as-lab” vision: identify opportunities to instrument training environments, integrate technology into daily operations, and turn routine activities into data collection opportunities, • Evaluate emerging technologies, methodologies, and tools for potential integration into the lab and broader campus infrastructure, • Establish data governance, quality assurance, and athlete data privacy protocols for all research and assessment activitiesRequirements: Minimum Qualifications • Doctoral degree (PhD or equivalent) in Sport Science, Kinesiology, Biomechanics, Human Movement Science, Sport Physiology, or a closely related discipline, • Minimum of 8 years of combined experience in applied sport science research and elite sport performance support, including at least 3 years in a high-performance sport environment (e.g., professional club, national federation, institute of sport), • Experience working across both men’s and women’s sport programs, • Demonstrated expertise in biomechanical assessment methodologies, including experience with force platforms, 3D motion capture, inertial measurement units, and/or pressure mapping systems, • A peer-reviewed publication record that reflects both scientific rigor and applied relevance, • Experience designing and managing multi-site or multi-team research projects, • Strong interpersonal and communication skills, with a demonstrated ability to translate complex scientific concepts for coaches, medical staff, and organizational leadership, • Ability to operate independently with minimal supervision while navigating a complex, multistakeholder organizational environment Preferred Qualifications • Experience in elite football/soccer environments at the club or international level, • Familiarity with the demands and structures of national team programs, including athlete availability constraints and multi-team coordination, • Experience with longitudinal athlete monitoring and developmental tracking across age groups, • Experience working with advanced soccer tracking technologies, including player surface interaction technology, is considered a strong advantage, • Background in or exposure to sport technology innovation, product development, or industry academic partnerships, • Proficiency with data management platforms, statistical software, and visualization tools used in applied sport science What This Role Offers • A newly created role within a new, strategically significant initiative backed by both the U.S. Soccer Federation and Nike, Inc., • Access to a purpose-built Performance Innovation Lab at a world-class National Training Center, • Unparalleled population access: 27 National Teams spanning youth through senior, men’s and women’s, all operating from a centralized campus, • The opportunity to build longitudinal datasets and research programs that have no existing equivalent in world football, • A platform for high-impact publication, professional visibility, and thought leadership in sport science, • Cross-sport exposure through Nike’s broader athlete network and innovation ecosystem Key Relationships The role maintains collaborative working relationships with National Team Integrated Performance, support staff, Nike’s Sport Research Lab (NSRL) and innovation teams, and external academic and research partners. Governance & Accountability The role reports into the Nike’s NSRL Team in Beaverton, OR and U.S. Soccer’s Performance Innovation Team in Fayetteville, GA. U.S. Soccer research priorities are set collaboratively between U.S. Soccer leadership and Nike, with a defined engagement cadence (e.g., quarterly research updates, annual innovation reviews). The role holder is expected to maintain scientific independence and ethical standards in all research activities. Day-to-day project priorities may be coordinated with designated U.S. Soccer personnel; however, Nike retains sole responsibility for all employment-related matters, including compensation, performance management, benefits, disciplinary action, and termination. Nothing in this reporting or collaborative structure shall be interpreted as creating an employment relationship between the employee and U.S. Soccer. To Apply Interested candidates should submit a curriculum vitae, a cover letter addressing their vision for the role, and the names of three professional references. Review of applications will begin immediately and continue until the position is filled. Nike is an equal opportunity employer and values diversity in its workforce.