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Job Description Senior Media Data Scientist – Contractor Kaizen Analytix LLC, an analytics services company seeking a qualified Data Science Contractor with a background in exploratory analysis, regression models, and multi-touch attribution modeling experience. Responsibilities and job requirements are below. This role requires a 40-hour/week commitment for approximately 12 weeks. This is a remote role. Responsibilities: • Provide analytical support by leveraging data mining tools and analytical methodologies, • Assist in data modeling and analysis to determine key customer insights, drive business strategies, and maximize ROI, • Integrate internal and external data sources, be comfortable working with both structured and unstructured data, • Assist in development, maintenance, and enhancement of statistical models in Python, • Use statistical tools and techniques to extract and analyze trends from the customer database warehouse, • Prepare and deliver presentations with complex analytical concepts, • Comfortable presenting to the business and upper managementEducation and Experience:, • PhD in Operations Research, Econometrics, or other applied mathematical discipline with at least 2-3 years of relevant professional experience, Or;, • Master’s degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 4-5 years of relevant professional experience, • Expertise in two or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics, • Expert programmer in two or more of the following: Python, R, SAS, MATLAB, SQL, • Excellent written, verbal, and presentation skills, • Experience in multi-touch attribution modeling YKDml5vYQ6

Job Description PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. Job Summary We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum’s AI-driven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment. This role combines deep expertise in machine learning with hands-on experience in building production-grade systems. You’ll collaborate closely with various cross functional teams and operate in a fast-paced environment where innovation, autonomy, and ownership are key. Key Responsibilities • Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results., • Integrate open-source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration., • Build and optimize workflows using frameworks such as LangChain, • Design and implement RAG (Retrieval-Augmented Generation) architecture to inject relevant, contextual data into generation prompts., • Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy., • Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback., • Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production., • Collaborate with cross-functional teams to integrate generative outputs into client-facing applications. Requirements • Master’s degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience., • 3+ years of experience developing and deploying machine learning pipelines in production., • 1+ years of experience building Generative AI or LLM-based applications., • Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs)., • Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics., • Experience designing and implementing RAG architectures., • Hands-on experience with Databricks, MLflow, or similar platforms., • Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production., • Strong problem-solving skills and ability to lead through ambiguity., • Excellent communication and documentation habits.Preferred Qualifications, • Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains., • Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI., • Familiarity with fine-tuning or custom instruction tuning of LLMs. Benefits and Compensation • A fast-paced, collaborative startup culture with high visibility., • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action., • Opportunity to make a meaningful impact in building a company and culture., • Equity in a financial technology startup., • Generous health, dental, and vision coverage for employees and family members + 401K., • Eleven paid holidays and unlimited discretionary vacation days., • Competitive compensation and bonus potential.

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 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: $111,000/year to $185,000/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.

Job Description Company: Trileaf Corporation is a nationwide environmental, architecture, and engineering consulting firm that assists clients with environmental due diligence, regulatory compliance, and engineering and architectural design. From its headquarters in St. Louis, MO, and multiple branch offices throughout the U.S., Trileaf serves the wireless communications, commercial real estate and financial industries. Location: Atlanta, Georgia Job Summary: Trileaf is seeking a FULL-TIME Senior Environmental Project Scientist with at least 2 years of field experience conducting environmental due diligence work on telecommunications and/or commercial real estate projects, including Phase I Environmental Site Assessments (ESAs), Phase II ESAs, National Environmental Policy Act (NEPA) Review Reports, and/or migratory bird evaluations. This position is based in our Atlanta, Georgia office. Candidates will work on-site. Key Responsibilities: • Travel to project location, take detailed notes and photographs of site, • Conducting interviews, in person, via email, and phone, • Performing regulatory agency file reviews, • Ordering & analyzing government database records, • Reviewing historical data (including topographic maps, Sanborn fire insurance maps, city directories, and aerial photographs), • Conducting field work to collect samples of potentially contaminated subsurface media (soil, groundwater, and soil vapor) and/or indoor air, • Compare analytical contaminant data collected to applicable regulatory standards, • Drafting a standardized report using information from these various sources To be considered, the resume of the applicant must demonstrate the following qualifications/skills: • Attention to detail, • Strong work ethic, • Valid driver’s license, • Ability to conduct field work, • Ability and willingness to travel, • Good computer skills, • Independent worker, • Commitment to excellence, • Phase I ESAs and/or NEPA Assessments, • 40-Hour HAZWOPER Certification, • Mold assessment/indoor air quality (IAQ) experience, • Licensed Asbestos/Lead-based paint Inspector, • Transaction Screen Assessments (ASTM E1528), • Property Condition Assessments (ASTM E2018), • Record Search with Risk Assessments (SBA SOP 50 10 6), • Environmental Professional (EP) Benefits: • Health, Dental & Vision Insurance, • 401k with company match, • Short-term disability, Long-term disability & Life Insurance – 100% Employer paid, • 3 weeks of PTO per year

Job Description About Oversight Oversight is the world’s leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world’s most innovative companies and government agencies to digitally transform their spend audit and financial control processes. Oversight’s AI-powered platform works across our customers’ financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More. Position Overview: Job Purpose Oversight Systems is a leading provider of cloud-based artificial intelligence solutions automating and analyzing financial payment transactions to identify fraud, non-compliant purchases, and wasteful spending. Oversight analyzes over $2 trillion in expenditures annually at Fortune 5000 companies and government agencies worldwide. We are looking for an enthusiastic and talented Senior Data Scientist to join our team. You will collaborate with a strong team of data scientists, product managers, and developers on designing and building AI solutions to expand our analytic platform and spend risk products. Responsibilities • Lead development projects, engaging with the project stakeholders, collecting high level requirements, testing different machine learning models and designing and delivering systems with machine learning at their cores, • Design and maintain a Machine Learning pipelines - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying, and diagnosing over fitting, • Research and develop analysis, and optimization methods to improve the quality of Oversight’s user facing analytics, • Identify and present opportunities to leverage advanced analytical methods to solve difficult non-routine business problems, • Provide technical direction, mentoring, training, and guidance to team members Skills • Applied experience with machine learning on large datasets, • Strong SQL experience in processing and analyzing data, • Strong quantitative analytical experience, including hands-on use of statistics, regression modeling, decision trees, random forest, support vector machine, kernel-based methods, clustering, and similar methods, • Ability to analyze a wide variety of data: structured and unstructured, observational, and experimental, to drive system designs and product implementations, • Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference, • Understanding of the different machine learning approaches and techniques and able to research and test new ones, • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data, • Demonstrated leadership and self-direction, • Hands-on experience with Linux distributions, • Strong communication skills, data presentation skills, and ability to collaborate with other teams, • Experience in both R&D environment and software product development is a plus Experience • Must possess a minimum of 3 years work experience using Python Education • Bachelor’s degree in Computer Science with Data Science Emphasis and 5 years of Data Science experience (emphasis in Machine Learning)

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

Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, pr

The Research Scientist, Senior will also work closely with principal investigators, research staff, and center administrative staff, as well as institutional leadership to advance the center's scientific mission.

We're seeking a Senior Manager of Engineering & Applied Scientists -a hands-on technology leader who thrives on solving complex challenges in distributed systems, cloud infrastructure, and highly available services.

Provide analytical support by leveraging data mining tools and analytical methodologies Assist in data modeling and analysis to determine key customer insights, drive business strategies, and maximize ROI Integrate internal and external data sources, be comfortable working with both structured and u

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

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

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

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We advance health through innovation by developing and manufacturing therapies that improve patients' quality of life.Every employee plays a vital role in our mission to advance human health through innovative client partnerships.Whether you’re involved in development, manufacturing, testing, or c

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Part-Time and Limited Term Faculty Positions in Ecology, Evolution, and Organismal Biology (Environmental Science).For more than 60 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community.A leader in innovative teaching and learning, Kennesaw State is lo

Senior Lead Dentist & Clinical Director (Partnership Track) | Marietta, GA.

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Part-time and Limited Term Faculty Positions in Geospatial Sciences.For more than 60 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community.A leader in innovative teaching and learning, Kennesaw State is located just north of Atlanta and combines a subu

Collaborate with product teams, data analysts and data scientists to design and build solutions.

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The laboratory is staffed by a multi-cultural team of highly skilled professionals like Pathologist, Medical Laboratory Technologist, Medical Laboratory Scientist, Histologist, Laboratory Tech Assistant and Laboratory Assistant. Certification as a medical technologist or medical laboratory scientist

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We are currently seeking a Senior Clinical Research Associate (CRA) to join our diverse and dynamic team. As a Senior CRA at ICON Plc, you will play a critical role in overseeing and managing clinical trial activities to ensure they are conducted according to protocol, regulatory requirements, and i

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