Scientist jobs in Atlanta, Georgia - Page 2Create job alerts

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 Sr. Talent Acquisition Specialist Pankaj Mishra +1 205-756-4834

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 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 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., • 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, • 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 HOW YOU’LL MAKE A DIFFERENCE: MountainSeed is looking for a Revenue Operations Coordinator to join our RevOps team. This is an execution-focused role responsible for keeping our CRM data clean, our reporting reliable, and our revenue processes running smoothly week over week. This person will work closely with the Revenue Operations Manager and collaborate cross-functionally to support Sales and Customer Success with accurate, timely data. This role is designed with a clear growth path toward a Revenue Operations Analyst position for the right candidate. We are building toward a modern RevOps function that pairs human judgment with automated workflows and AI-assisted tooling. This person will be a key part of that evolution — not just maintaining what exists but helping shape how we work. IN THIS ROLE, YOU’LL GET TO: CRM Data Quality & Hygiene • Identify, flag, and resolve duplicate Account and Contact records in Salesforce, • Perform bulk data imports and list loads, ensuring field mapping and data integrity, • Conduct regular audits of Contact and Account data for completeness and accuracy, • Support data verification projects using enrichment tools and internal processes, • Conduct outbound verification calls to confirm contact accuracy at target institutions Reporting & Analytics • Run and distribute weekly reports and dashboards in Salesforce, • Verify report accuracy and flag anomalies before distribution, • Build and maintain standard reports for Sales and CS teams as directed, • Manage Campaign and Campaign Member records, including report pulls for marketing and sales alignment Process & Project Support • Execute data projects as assigned by the Revenue Operations Manager, • Manage information sharing and coordination between departments, • Support ad hoc data requests from Sales and Revenue Operations, • Review and QA outputs from automated workflows before distribution or record updates The Environment You’re Walking Into We are actively investing in automation and AI-assisted workflows to handle repeatable RevOps tasks at scale. This role will work alongside those systems — reviewing agent-generated outputs, flagging exceptions, and helping us identify which processes are ready to automate next. You do not need to be a developer or data scientist. You do need to be comfortable working in a fast-moving environment where some processes are still being defined, and where your observations will directly influence how we build. THIS OPPORTUNITY IS FOR YOU IF YOU HAVE/ARE: Required • 1+ years of experience in an analytical, operations, or data-adjacent role, • Working knowledge of Salesforce CRM — comfortable running reports, managing records, and navigating objects, • Proficient in Excel or Google Sheets — vlookups, pivot tables, basic data manipulation, • Strong attention to detail and ability to catch data inconsistencies, • Clear communicator who can flag issues and summarize findings concisely, • Organized self-starter who can manage multiple tasks without constant direction Nice to Have • Familiarity with Salesforce Campaigns and Campaign Members, • Experience with data enrichment tools (ZoomInfo, Apollo, or similar), • Exposure to marketing or sales operations workflows, • Undergraduate degree in Business, Analytics, or a related field GROWTH PATH: This role is intentionally scoped as a Coordinator to set the right foundation — but we expect the right person to grow quickly. As you build fluency in our systems and processes, there is a clear path toward a Revenue Operations Analyst role with expanded ownership of reporting strategy, data architecture decisions, and automation project work WHAT WE OFFER: 3 weeks of PTO, 13 company paid holidays, paid parental leave, and a flexible work environment. Medical, Dental, Vision, Life, Disability, and 401K plans begin the first of the month after 30 days of employment. OUR PURPOSE is to provide opportunities that help people thrive using their God-given abilities. OUR CORE VALUES: • Be a Self-Starter. Continuously seek ways to improve yourself and the business, take responsibility, and act with urgency to solve problems., • Be a Team Player. Prioritize team success over individual achievements, support your colleagues, and contribute to creating high-performing teams., • Be a Patriot. Focus on the greater good of the organization, be honest about what’s working, and passionately work towards making the company better., • Do it Right. Uphold high standards and integrity, even when no one is watching, and always aim to do the right thing. As the largest commercial real estate services marketplace in the nation, MountainSeed MarketPlace offers a comprehensive range of appraisal management, review services, and more. MountainSeed Analytics platform provides real-time, accurate real estate data insights, helping clients make informed decisions in markets across the U.S. MountainSeed’s Capital Markets Solutions including Loan Sale Advisory and Sale Leaseback Programs assist in enhancing an institution’s financial health. MountainSeed is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.

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 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.

Turnitin, LLC is seeking a Principal Machine Learning Scientist to develop and deploy cutting-edge ML models that enhance global education products.The role requires a Master's degree or PhD in a relevant field, with at least 10 years of industry experience in machine learning and software engineeri

Job Description Job Title Data Scientist Employment Type Full-time Work Authorization Requirements Authorized to work in the United States Language Requirements English About PRGX PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients. For more information about PRGX, visit . Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships. · Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions. · Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment. · Stay up-to-date with the latest research and developments in machine learning and artificial intelligence · Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. · Mentor and guide interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. · PhD preferred. · Minimum of 1 year of experience applying machine learning techniques to solve complex data problems. · Strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. · Experience with data preprocessing, feature engineering, and data visualization techniques. · Proficiency in Python programming, and experience working with big data tools such as Spark. · Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. · Strong problem-solving skills and attention to detail. · Experience with agile development methodologies and version control tools such as Git. Preferred Qualifications: • Experience working with natural language processing (NLP) techniques., • Familiarity with deep learning frameworks such as TensorFlow or PyTorch. PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices. Physical Requirements Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication Data Privacy Your personal data will be handled in accordance with applicable data protection laws. We only collect information necessary for recruitment and will not share your data without your consent.

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 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 DescriptionCompany Description Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. Eurofins is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. The Group also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 55,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 50 countries. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. Job Description Licensed technologists must have a current & active license (CLS/MLS/MLT certification and/or CHT/CHS) in one or more of the following areas: Generalist, Molecular, Immunology, Histocompatibility. Dependent upon what area of the laboratory the technologist shall work, the technologist shall be proficient in assays/methodologies including, but not limited to: ABO typing, Nucleic Acid Testing, serological assay (EIA, ELISA) and Histocompatibility testing. The technologist is expected to execute both manual and automated test platforms. Primary responsibilities include: • Follow laboratory procedures for handling and processing of sampling, test analyses, reporting and maintaining records of patient results., • Follow prescribed procedures, performing any of the tests within any of the laboratory specialties. Calculate the results of the tests performed, if necessary., • Accurately enter results of testing, as needed., • Issue accurate test results, if trained., • Operate, calibrate, conduct performance checks, and maintain laboratory analyzers or equipment, as necessary., • Recognize and correct basic analyzer malfunctions. Notify supervision/management, when appropriate., • Maintain adequate inventory of supplies, reagents and materials., • Evaluate media, reagents, and calibrators according to established criteria., • Prepare reagents and/or media as per prescribed procedure., • Conduct established quality control procedures on analytical tests, equipment, reagents, media, and products. Evaluate results of quality control, and implement corrective action(s) when indicated., • Review and follow Standard Operating Procedures (SOPs)., • Accept or reject test results in accordance with SOPs., • Orient, mentor and/or teach new employees and/or employees that require cross-training on clinical laboratory methods, procedures and techniques., • Adhere to all Quality Assurance, HIPAA and Safety standards., • Adhere to all testing turnaround timelines., • Meets basic expectations of DPT’s quality management system, including, but not limited to good workmanship, adherence to standard operational procedures, training, good documentation practices, accurate recordkeeping so the company may meet its stated quality policy and objectives., • Document all corrections and/or corrective actions when test systems deviate from the laboratory’s established performance specification., • Support Eurofins DPT’s business philosophy, leadership values, and ethics., • Represent laboratory and the organization favorable and in accordance with established Company standards and associate attributes at all times., • Demonstrates a high level of integrity and honesty in performing tests, documenting test results and maintaining patient, client, employee and laboratory business confidentiality., • Other duties as formally assigned by laboratory Management., • Participate on special project teams a requested by laboratory Management.Qualifications MINIMUM REQUIREMENTS • Bachelor’s (BA or BS) degree in a chemical, physical, biological or clinical laboratory science, or medical technology from an accredited institution., • The appropriate State License to perform clinical laboratory testing in which the laboratory is located., • In California, must be licensed by the State of California Department of Public Health., • In Georgia, must successfully complete a certification examination from ASCP, AMT, NCA, or AAB., • In Hawaii, must be licensed by the State of Hawaii to perform Histocompatibility and/or infectious disease testing., • Employee must provide a current copy of license to laboratory Management., • Responsible for maintaining licensure and continuing education as required per licensing agency and/or State., • NOTE: License is mandatory for the role; the loss of licensure or failure to renew license will result in an unpaid of leave of absence or termination (to be determined by laboratory Management)., • Strong organizational and planning skills as well as strong keen attention to detail., • Strong and effective written and verbal communication skills, and interpersonal/ teamwork skills., • Intermediate or higher level of proficiency with computers; Proficiency in Microsoft Office Suite software programs including accurate keyboarding skills., • Previous experience in Transplant Testing not required., • General knowledge of assay theory and instrumentation., • Knowledge of the principles, methods, materials, equipment, and techniques of medical technology., • Knowledge of the principles of chemistry, biology, and bacteriology as related to medical technology., • Some knowledge of recent developments in the field of medical technology., • Ability to perform assigned tasks according to prescribed procedures., • Ability to make accurate observations and records of tests results., • This laboratory carefully maintains all hazardous materials. All employees must abide by Eurofins DPT’s Safety and Exposure procedures. This includes using the provided safety clothing and equipment., • For a list of potential chemical hazards, see appropriate SDS sheet., • The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Information Compensation: • Excellent full time benefits including comprehensive medical coverage, dental, and vision options, • Life and disability insurance, • 401(k) with company match

Job Description Hunter Douglas is the world's leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we've defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What's yours? Position Overview Hunter Douglas is seeking a motivated and experienced Data Scientist to join our growing AI Analytics & Digital Transformation team. This individual will play a key role in advancing Hunter Douglas's digital and data-driven transformation by leveraging AI, machine learning, and advanced analytics to optimize operations, enhance customer experiences, and support strategic decision-making across our global business. The successful candidate will partner with business leaders across supply chain, logistics, manufacturing, sales, and customer experience to identify opportunities where AI and data science can drive measurable value — from predictive demand modeling and inventory optimization to intelligent automation and sustainability initiatives. What you'll do • Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain., • Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability., • Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals., • Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve., • Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges., • Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital transformation initiatives., • Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment., • Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions., • Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling., • Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption., • Collaborate with digital product and IT teams to develop and integrate AI-assisted tools and automations within Hunter Douglas's VIBE platform and data ecosystem., • Experiment with AI coding assistants (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate analytics and model development and improve reproducibility., • Support the creation of custom AI copilots and prompt libraries for use in digital supply chain tools, analytics dashboards, and planning applications., • Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows. Who you are • Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related)., • 5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context., • Strong proficiency in Python, R, or SQL for data science and model development., • Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP)., • Proven ability to design and operationalize data science solutions in real-world environments., • Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics., • Knowledge of data visualization and BI tools (Power BI, Tableau, or similar)., • Strong problem-solving, analytical, and communication skills., • Familiarity with version control (Git) and collaborative development practices. Preferred Education, Experience, and Skills: • Master's in Data Science, Engineering, Statistics, or related quantitative discipline., • Experience working in manufacturing, supply chain, or consumer goods industries., • Knowledge of IoT data analytics, predictive maintenance, or computer vision in industrial applications., • Understanding of AI frameworks and automation pipelines for large-scale AI deployment., • Proven ability to manage multiple projects and deliver business impact through analytics., • Strong collaboration and communication skills to engage with diverse business teams., • Experience working with ERP and supply chain systems (SAP, Kinaxis, Oracle, etc.). Travel: • Travel up to 20% may be required for project collaboration and site visits What's in it for you • Annual base salary range: $95000-$125000, • Bonus target range: 20%-25%, • Generous benefits package including medical, dental, vision, life, disability, • A company culture that prioritizes internal development and professional growth, • Time off with pay, • 401(k) plan with a degree of employer matching, • Paid parental leave #LI-SA1 #L1 - HYBRID By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text "STOP" to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, or terms of use

Senior Data Scientist – Supply Chain Optimization.This role sits at the intersection of data science, operations research, and software engineering, focusing on building decision‑making models that directly power a modern supply chain planning platform.Support customer‑facing teams by troubles

Partner closely with the Cell Therapy Account Managers, Heme/Onc National Account Executives, and home office matrix teams. Experience in Cell Therapy preferred, experience in Oncology/Hematology a plus. R1601954 : Director, US Field HEOR Scientist, Cell Therapy, Southeast.

Job Description General Supervisor – Clinical Chemistry Laboratory Metro Atlanta, Georgia About the Opportunity A growing clinical laboratory in the Atlanta metro area is seeking a General Supervisor to support the launch and operational growth of its Clinical Chemistry testing services. This is an exciting opportunity to join a laboratory in an active stand-up phase with existing CLIA and COLA accreditation, modern instrumentation, and strong technical leadership already in place. The laboratory's near-term focus includes chemistry-based HEDIS testing including HbA1c, renal function testing, and urine chemistry assays, with future expansion potential into molecular diagnostics and PCR services. This role is ideal for an experienced Clinical Laboratory Scientist or Chemistry Supervisor who enjoys building processes, supporting validations, mentoring staff, and helping scale laboratory operations in a fast-paced environment. Position Overview The General Supervisor will oversee day-to-day clinical chemistry operations and testing personnel while supporting instrument implementation, assay validation, SOP updates, quality initiatives, and compliance activities. This individual will work closely with laboratory leadership and technical consultants during the laboratory stand-up and growth phase. Responsibilities • Supervise daily operations within the Clinical Chemistry laboratory, • Oversee testing personnel performing moderate and high complexity testing, • Support assay validations, instrument verification, and method implementation activities, • Assist with SOP development, revisions, and compliance documentation, • Ensure adherence to CLIA, COLA, CAP, and quality standards, • Monitor QC, proficiency testing, and quality assurance metrics, • Assist with staff training, competency assessments, and scheduling, • Troubleshoot instrumentation and workflow issues within the laboratory, • Collaborate with laboratory leadership during operational scaling and workflow optimization, • Bachelor's degree in Medical Technology, Clinical Laboratory Science, Biology, Chemistry, or related scientific field, • MLS(ASCP), MT(ASCP), or equivalent certification preferred, • 4+ years of clinical laboratory experience in a high complexity laboratory environment, • Prior supervisory, lead tech, or general supervisor experience preferred, • Strong Clinical Chemistry experience required, • Experience with Beckman Coulter AU-series analyzers strongly preferred (AU480/AU680), • Experience with assay validation, SOP development, and quality systems highly preferred, • Knowledge of CLIA, COLA, CAP, and CMS laboratory regulations, • Estimated salary range: $90,000 – $115,000 annually, • Potential flexibility for highly experienced chemistry supervisors with startup or validation expertise, • Comprehensive benefits package anticipated, including health, dental, vision, and PTO At Lighthouse Lab Services, we offer solutions to help start, grow, and run clinical laboratories. Our recruiting team has over 18 years of proven success placing job seekers in positions ranging from entry-level Medical Technologists to seasoned Laboratory Directors. We recruit nationwide, for permanent and travel positions with clients ranging from small hospitals to large reference laboratories. It is the policy of Lighthouse Lab Services to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. Lighthouse Lab Services is committed to working and providing reasonable accommodation to individuals of all abilities, including persons with disabilities. If at any time during the application process, you need an accommodation, please contact for assistance. Lighthouse Lab Services | 844-974-1929 | lighthouselabservices.com #LLS2

Candidates should have an advanced degree with at least ten years of experience in pharmaceutical, managed care, or consulting fields, preferably in Cell Therapy or Oncology.

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. 2. Predictive Modeling: * Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes. * Utilize techniques such as regression analysis, classification, and clustering. 3. 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. 4. Hypothesis Testing: * Formulate and test hypotheses to statistically validate business decisions and recommendations. 5. Feature Engineering: * Engineer and select relevant features to optimize the performance of machine learning models. 6. Algorithm Development: * Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks. 7. Data Integration: * Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses. 8. Model Deployment: * Deploy machine learning models into production environments to support real-time analytics and decision-making. 9. A/B Testing: * Design and evaluate A/B tests to assess the impact of process or product changes. 10. Data Ethics: * Ensure data handling practices meet ethical standards, including privacy and compliance with regulations. 11. Cross-functional Collaboration: * Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 12. Mentorship: * Provide guidance and mentorship to junior data scientists and analysts to support team development. 13. 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 DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Turnitin is a recognized innovator in the global education space. For more than 20 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 16,000 academic institutions, publishers, and corporations use our products and services. At Turnitin, working remotely is our default. We respect local cultures, embrace diversity, and we respect personal choice. Turnitin is headquartered in Oakland, with offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), Amsterdam (Netherlands). Our diverse community of colleagues is unified by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements: We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines). Day-to-day, your responsibilities are to: • Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered., • Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices., • Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary., • Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters., • Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs., • Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings., • Optimize models for scaled production usage., • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners., • Write clean, efficient, and modular code, with automated tests and appropriate documentation., • Stay up to date with technology, make good technological choices, and be able to explain them to the organization.Qualifications Required Qualifications: • Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus., • A strong understanding of the math and theory behind machine learning and deep learning., • Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)., • Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)., • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families., • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite., • Excellent communication and teamwork skills., • Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries., • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda)., • Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes., • Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai)., • Showcase previous work (e.g. via a website, presentation, open source code). Additional Information The expected annual base salary range for this position is: $112,125/year to $186,875/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do., • Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so., • Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership - We have a bias toward action and empower teammates to make decisions., • One Team - We strive to break down silos, collaborate effectively, and celebrate each other’s successes., • Remote First Culture, • Health Care Coverage*, • Education Reimbursement*, • Competitive Paid Time Off, • 4 Self-Care Days per year, • National Holidays*, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time*, • Charitable contribution match*, • Monthly Wellness or Home Office Reimbursement*, • Access to Modern Health (mental health platform), • Parental Leave*, • Retirement Plan with match/contribution*, • varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in the field of telecom. Research Scientist/Engineer II. Senior Research Scientist/Engineer.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. Research Scientist/Engineer II. Senior Research Scientist/Engineer.

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 +1 205-756-4834

Dependent upon what area of the laboratory the technologist shall work, the technologist shall be proficient in assays/methodologies including, but not limited to: ABO typing, Nucleic Acid Testing, serological assay (EIA, ELISA) and Histocompatibility testing. The appropriate State License to perfor

Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth.

As the Senior Research Scientist, Energy, you will be conducting work on projects that will directly contribute to addressing the energy-related and in-plant process engineering information needs associated with the environmental performance of the forest products industry. As a scientist in their a

Senior P&C Insurance Data Scientist opening in Atlanta.

The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. As a Data

Data Scientist plays a key role to build scalable, mathematical algorithms in production that directly impact retail and merchandising by solving complex, high-value business problems. Data Scientist partners closely with product managers, software engineers, and business stakeholders to identify hi

Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. Data Scientist works with price optimization based on future forecasted outcomes of

The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advan

Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. Data Scientist is responsible for leading data science initiatives that drive busin

The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. As a Data

A research scientist position in physical and biogeochemical oceanography is available at the School of Earth and Atmospheric Sciences at Georgia Tech. The research scientist will work collaboratively on projects focused on how climate change is impacting marine primary productivity in the global oc

As the Senior Research Scientist, Energy, you will be conducting work on projects that will directly contribute to addressing the energy-related and in-plant process engineering information needs associated with the environmental performance of the forest products industry. As a scientist in their a

Mayo Clinic is seeking a Neurosurgery Career Scientist to advance research in neurosurgery and neuro-oncology at its Arizona campus.

The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. As a Data

The School of Electrical and Computer Engineering is seeking to hire Research Scientist. Responsible for directing others; plans, organizes, and supervises the work of laboratory scientists, engineers, and technicians.

The Operations Decision Science team at Delta seeks an operations research scientist to take on developing data-driven solutions aimed at continually improving airline performance and decision making.

Managing Consultant, Project Manager, Engineer/Scientist/Geologist.

Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only).

Senior P&C Insurance Data Scientist opening in Atlanta.