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Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision. Key Responsibilities • Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques., • Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs), • Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience., • Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value., • Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications, • 6-10 years of professional experience as a Data Scientist or in a closely related role, • Strong Problem-Solving Skills: Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques, • Proficiency in Python and SQL: Hands-on experience in writing production-grade code, data manipulation, and querying large databases, • Expertise in NLP: Proven experience working with text and transcription data, including preprocessing, feature engineering, and model development, • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications, • Curiosity and Continuous Learning: Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI, • Strategic Alignment: Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionWe're Topaz Labs, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started. We’re looking for a Research Scientist to help us push the state-of-the-art in image and video enhancement. Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging. You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.About us • Rocketship growth and opportunity for impact ($3M → $30M revenue in four years), • Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more, • World-class team that executes quickly, obsesses about the customer experience, and promotes from within, • Profitable company with infinite runwayAbout you, • PhD or equivalent industry experience, • Prior key contributor to significant deep learning projects for image enhancement or image processing, • Significant prior experience with CNNs, GANs, Diffusion, and other common computer vision network architectures, • 2 years of hands-on experience with TensorFlow or PyTorch, • Good understanding of common image processing algorithms, • Working knowledge of C/C++

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Hours: 3040 hours/week or Full-Time (Flexible) About the Role We are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions. Key Responsibilities * Analyze large, complex datasets to uncover patterns and generate actionable insights * Build predictive models and ML pipelines across: * Tabular data * Time-series data * NLP * Multimodal datasets * Design and implement validation strategies, experimental frameworks, and analytical methodologies * Develop automated data workflows, feature pipelines, and reproducible research environments * Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations * Translate analytical results into clear recommendations for engineering, product, and leadership teams * Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale * Present findings via dashboards, structured reports, and documentation Required Qualifications * Kaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance) * 35+ years of experience in data science or applied analytics * Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) * Experience building ML models end-to-end (feature engineering, training, evaluation, deployment) * Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis * Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools) * Excellent communication skills and ability to present analytical insights clearly Nice to Have * Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) * Experience in AI labs, fintech, product analytics, or ML-driven organizations * Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data * Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) * Familiarity with Bayesian methods or probabilistic programming frameworks Why Join * Work on cutting-edge AI research workflows * Collaborate with world-class data scientists and ML engineers * Solve high-impact, real-world data science challenges * Experiment with advanced modeling strategies and competition-grade validation techniques * Flexible engagement options ideal for Kaggle-level problem solvers

Job Description We're a fast-growing and profitable startup building the defining company at the intersection of AI, apparel, and culture. We move at a blinding pace, operate in one-week release cycles, and are looking for a builder with a founder's mentality to join our core team. We are not iterating; we are inventing. If you're tired of big-tech bureaucracy and want to build a rocketship from the ground up, this is your call. This is not a typical Product Manager role. We are looking for a deeply technical product leader to architect the core intelligence of our company. You will own the vision, strategy, and execution of our foundational AI platform, encompassing everything from proprietary large-scale models to the APIs that expose their capabilities to our consumer products and developer ecosystem. Your mission is to build the brain and the nervous system of our entire product suite. You will guide the development of our in-house Large Language Models (LLMs) and imaging models, define the roadmap for agentic AI systems, and create a world-class platform that unlocks capabilities our users haven't even imagined yet. You are not managing a product; you are building the future of our company's technological moat. This role follows a hybrid work model with a requirement of a minimum of three (3) days per week onsite. Employees should expect to work regularly from the office to support collaboration and business needs. The base compensation for this role is expected to range from $150,000 to $200,000 per year. Actual compensation will be based on a variety of factors, including skills, experience, qualifications, and overall fit for the role. Requirements Basic Qualifications • Bachelors Degree Required in Computer Science or related field., • 6+ years experience in product management, • Hands-on AI/ML Background: You have a past life as an ML Engineer, AI Researcher, or Data Scientist. You have hands-on experience building and shipping machine learning models. You must be able to command the respect of our senior AI engineers through your deep technical credibility., • Full-Stack Model Expertise: You understand the entire lifecycle of large-scale models (LLMs, Diffusion Models, etc.) from a first-principles level. This includes:, • Training & Data: You can strategically guide decisions on data acquisition, pre-training vs. fine-tuning, and novel training methodologies., • Inference & Optimization: You deeply understand the trade-offs between latency, cost, and performance, and can drive the roadmap for model quantization, distillation, and efficient serving., • Mastery of Applied AI Craft: You know how to turn a powerful but raw model into a magical, reliable product. You are an expert in:, • Evals: Designing and implementing robust, multi-modal evaluation frameworks (both automated and human-in-the-loop) to rigorously measure and improve model quality., • Agentic Systems: Architecting and building AI agents that can reason, plan, and use tools to accomplish complex tasks., • Advanced Prompting: You are a master of prompt engineering, including sophisticated techniques like meta-prompting and Chain of Thought to elicit the best possible performance from models., • Platform & API Architecture: You are a true platform builder. You know how to design clean, scalable, and intuitive APIs that developers love. You obsess over developer experience (DX), documentation, and building a platform that accelerates the entire organization., • Proven AI Shipping Experience: You have a track record of shipping V1 AI-powered products, from consumer-facing features to developer-level platform services., • Strategic & Systems Thinking: You can reason from first principles about the long-term trajectory of AI. You can connect advancements in research to concrete product opportunities and build a coherent technical strategy that spans multiple years., • Exceptional Technical Communication: You can effortlessly translate the most complex AI concepts to any audience. You can debate RLHF implementation details with the research team and then explain the business impact of a new model to the executive team in the same day., • MLOps Acumen: You understand the infrastructure that underpins modern AI and can contribute to the strategy for our tooling, deployment, and model monitoring systems., • A "Wartime" Owner Mentality: You are an independent, relentlessly resourceful operator. You have an obsessive bias for action and run through walls to get the job done. You see a technical frontier, you chart a path, you rally a team, and you conquer it. Preferred Qualifications • Startup DNA: You've worked at a seed or Series A startup or have tried to build your own thing., • Research Contributions: You have published papers at top AI conferences (e.g., NeurIPS, ICML) or have made significant contributions to major open-source AI projects., • AI Ethics & Safety: You have a strong and nuanced understanding of the risks and ethical considerations of building powerful AI systems., • Hardware Knowledge: You understand the underlying hardware (GPUs, TPUs, interconnects) and how it impacts model architecture and performance. This Role Is Not a Fit For You If... • You see product management as just writing tickets. Your job is to be the technical and strategic visionary for our core AI., • You are a "glorified project manager." Your job is to define the what and the why with extreme technical clarity, not just track the how., • You are afraid to get your hands dirty with technical details. You must be able to read a research paper and immediately grasp its product implications., • You feel your job is to "manage" engineers. Your job is to empower our world-class AI team with a compelling vision and deep technical partnership., • You want to wait for the technology to be perfect. We ship and iterate in one-week cycles, even on the bleeding edge of AI. Why You Will Love Working At Jiffy • Opportunity to grow company market share through innovation in the rapidly evolving e-commerce, AI, and image processing space., • Thrive in a collaborative, high-growth environment where your ideas directly influence how Jiffy evolves as a leading e-commerce destination., • High visibility and influence in solving complex problems and delivering cutting edge solutions resulting in direct impact on Jiffy’s seamless customer experience. What We Offer • Compensation & Growth: Competitive salary, equity opportunities, and performance-based bonuses., • Comprehensive Benefits: Full medical, dental, and vision coverage, with a portion of premiums paid by Jiffy., • Retirement Planning: 401(k), • Wellness Support: Annual wellness benefits to help you stay healthy and balanced., • Tools for Success: Choice of MacBook or PC laptop, plus equipment for your home office setup., • Perks & Extras: Annual credit of $200 to use on our website plus more team merch drops than you will know what to do with!, • Professional Development: Annual stipend to support your learning and career growth. EEO Jiffy is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Jiffy considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Jiffy is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionBenefits: • Competitive salary, • Flexible schedule Roles & Responsibilities : • Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts., • Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation)., • Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to productionensuring reliability, scalability, monitoring, and maintainability., • Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection., • Optimize models and pipelines for performance, cost, and efficiency., • Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use., • Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning., • Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt. Must-Have Qualifications: • 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI., • Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc., • Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering., • Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases., • Experience working in production / deploying models (batch and streaming), working with MLOps practices., • Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty., • Good communicator: able to translate complex technical detail to business / non-technical stakeholders. Nice to Have: • Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field., • Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems., • Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks., • Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements. Work remote temporarily due to COVID-19.

Job Description Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Data Scientist for our client in the Retail domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately. Duration: 12+ Months Contract Location: Irving, TX Salary: $65.00-$70.00/Hourly Role: Data Scientist Primary Skills: SQL Role Description: The Data Scientist must have 2+ years of experience. For this role, you must be a mid-level Data Scientist to help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Responsibilities: • Research, prototype, and develop AI/ML solutions for customer segmentation and personalization., • Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact., • Build, deploy, monitor, and analyze machine learning models in production environments., • Apply statistical experimentation techniques when launching and iterating on AI-driven products., • Partner closely with data, product, marketing, and engineering teams to align solutions with business goals., • Translate complex analytical findings into clear, actionable insights for non-technical stakeholders., • Stay current with emerging tools, frameworks, and best practices in data science and experimentation., • Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence., • Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: • 2+ years of experience in statistical data science, feature engineering, and customer segmentation., • 2+ years of hands-on experience with Python, SQL, and PySpark., • 2+ years of experience training, evaluating, and deploying machine learning models., • 2+ years of experience productionizing ML workloads in AWS or Azure., • Familiarity with containerized deployments using Docker and/or Kubernetes., • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: • Experience working with the Databricks platform., • Experience building ML models using large-scale structured and unstructured data., • Exposure to company ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs), • Experience integrating data science solutions into marketing and personalization workflows. Education: Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience. Experience: Minimum 2+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Aman Agarwal Recruiter Phone: 1 361.356.1669 Benefits: We have various coverages and additional benefits to choose from: • Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll)., • Paid Leaves (Wherever applicable)., • Life & Disability Coverage (Upon eligibility)., • 401K Option, Education Assistance Program and more. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Job Description Job Summary The Research Associate will support the activities of the Science & Innovation department and will play an important role in assisting with the management of clinical trails execution, the coordination of projects with external partners and support projects management tasks to ensure timely execution and data management with team members. The Research Associate will participate in the Science team's activities to support internal and external stakeholders. Essential Duties/Responsibilities • Coordinate and administer clinical study projects with CRO's under the supervision of the Senior Principal Scientist, • Liaise with CRO on project execution and provide appropriate support, • Build and maintain document/files in compliance with study protocols and project management processes, • Support development, implementation and validation of required science approaches, • Contribute to literature reviews to stay updated on the latest research in nutrition and health, • Help with technical reports and product specifications preparation, • Master's Degree in Health, Nutrition, Pharmaceutical, Food, Biomedical or related field, • Minimum 4 years of professional R&D experience, • Experience in clinicl study conduct/ organization, • Excellent level of written and oral English skills, • Experience with peptide/ protein biology is a plus, • Experience with statistics is a plus, • Knowledge of good clinical practices is a plus Darling Ingredients is an equal opportunity employer and gives consideration to qualified applicants without regard to race, age, color, religion, sex, national origin, sexual orientation, gender identity, disability, or, protected veteran status. Know Your Rights: If you would like more information, please click on the link and paste into your browser: Job Posted by ApplicantPro

A global education technology company is seeking a Senior Machine Learning Scientist to develop advanced ML models and collaborate with teams to enhance educational products.With a strong focus on remote work culture, this role offers a competitive salary between $111,000 and $185,000 annually.Candi

Computer Science, Data Science, Physics, Mathematics, Engineering, Informatics, or a related field3years of experience in data analytics and statistical / ML / NLP modeling, with a focus on healthcare applicationsProven experience with cloud infrastructure and services, particularly in the deploymen

Med Lab Scientist 2 - Healthcare & Research Job ID: 1013640 | Dallas, TX | Job Type: Contract | Added - 02/25/26 Job Description Innova Solutions has a client that is immediately hiring for a Med Lab Scientist 2. Position type: Full‑time Contract Duration: 13 weeks contract assignment Locatio

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Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

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