2920 Statistical Modeling Jobs - Page 27

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortabl...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT t...

The ideal candidate will have experience working with large-scale datasets, applying natural language processing (NLP) techniques, and conducting statistical modeling to derive actionable insights for social development, sustainability, and public health initiatives. Key Responsibilities Data Handling : Collect, clean, and manage large datasets from diverse sources while ensuring ethical standards. Text Analysis : Conduct sentiment analysis, emotion classification, and topic modeling using NLP techniques. Statistical Evaluation : Apply statistical methods to assess policy impacts and validate findings. Visualization & Reporting : Create visualizations and prepare reports, briefs, and academi...

Job Description Skills required: Independent problem solving on small/medium-scale projects Knowledge of advanced statistical methods and machine learning Able to work with large datasets in cloud environments Strong technical communicator who is comfortable troubleshooting very complex data problems in large data pipelines and communicating to a non-technical audience Strong SQL and Python skills Hands-on experience with Large Language Models (LLMs) implementation and Retrieval-Augmented Generation (RAG)-based AI agents Experience required: Extensive statistical training Experience in digital marketing or related field preferable Experience with UX analyses Experience with digital behaviour...

Responsibilities Privacy Accounting & Mechanisms: Implement and analyse privacy loss accountants (RDP, zCDP) and their conversions to ( , )-DP. Calibrate and apply noise mechanisms (Gaussian, Laplace) based on rigorous sensitivity analysis. Differentially Private SQL Engine: Develop algorithms for static and dynamic sensitivity analysis of relational operators. Build query rewriting logic to inject calibrated noise and manage a per-user privacy budget ledger. Compiler & Static Analysis: Use Python AST manipulation and static analysis to enforce a DP-safe execution environment, ensuring user-submitted code cannot leak private information. DP Synthetic Data: Implement and benchmark state-of-th...

Job Description At Nielsen, we are seeking a Data Scientist to join our team. Are you passionate about pushing the boundaries with the latest advancements in AI/MLDoes the prospect of applying cutting-edge AI research to develop industry-defining software solutions for audience measurement excite youIn this role, you will be at the forefront of our mission, leveraging sophisticated machine learning and AI to deliver a comprehensive understanding of audience behavior. You will architect and implement AI/ML systems that unlock novel insights from complex audience data. Core Responsibilities: Project Leadership: Take ownership of specific data science projects, guiding junior team members throu...

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English. At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and ...

Role Summary Data analysis, statistical modelling, and data visualization of stability studies. Applying statistical methods to identify trends, interpret data, and support organizational objectives. Key Responsibilities: Data analysis Conducting analytical similarity assessments for the products utilizing various statistical approaches, including Equivalence tests, Quality Range approaches. To extrapolate the available stability data till the shelf life of the established product and to find out the shelf life of the new products. Further, to perform the Shelf-life analysis for legacy products. To establish provisional trend limits based on the finished product data. To find out the root ca...

About The Role TBD Qualification TBD

About The Role Project Role Cloud Platform Engineer Project Role Description Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills Oracle Database Administration (DBA) Good to have skills NA Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education Summary As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud ...

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skillsmachine learning,data science,deep learning,natural language processing,predictive modeling,data analytics,predictive analytics,Artificial intelligence*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skillsmachine learning,artificial intelligence,data science,python,deep learning,natural language processing,AI research,AI development*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills machine learning,artificial intelligence,data science,mentoring,python,deep learning,natural language processing,AI research*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization Advise on AI-driven business models, innovation strategies, and regulatory compliance Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation Mandatory Key Skills machine learning,data science,python,deep learning,natural language processing,sql,neural networks,predictive modeling,R,Artificial intelligence*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills machine learning,artificial intelligence,data science,python,deep learning,natural language processing,AI research,AI development*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization Advise on AI-driven business models, innovation strategies, and regulatory compliance Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation Mandatory Key Skills machine learning,data science,python,deep learning,natural language processing,sql,neural networks,predictive modeling,R,Artificial intelligence*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills - machine learning,artificial intelligence,data science,python,deep learning,natural language,predictive analytics,tableau,data analysis,AI adoption.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills machine learning,artificial intelligence,data science,python,deep learning,natural language processing,AI research,AI development

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization.Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth.Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning.Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills - machine learning,data science,python,deep learning,natural language processing,sql,neural networks,predictive modeling,R,Artificial intelligence.

What The Candidate Will Need / Bonus Points What the Candidate Will Do Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitorin...

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

Total Yrs. of Experience5Relevant Yrs. of experience5Detailed JD (Roles and Responsibilities)Strong knowledge of Python (Numpy Pandas and SciKit-learn) and SQL Good hands on knowledge of machine learning , data science solution building Knowledge of Time Series forecasting in Python Knowledge of EDA, Pre-processing and Regression/Classification Model building in Python Knowledge of Azure Databricks is an added plus. Mandatory skillsPython (Numpy,Pandas, SciKit-learn) TIME SERIES FORECASTING REGRESSION/CLASSIFICATION MODEL BUILDING

Teamware Solutions is seeking a talented Machine Learning Engineer / Data Scientist with exceptional analytical abilities to join our growing team. You'll play a pivotal role in developing, implementing, and deploying machine learning models that extract actionable insights from complex data, driving intelligent solutions and strategic decision-making across our business. This position is ideal for a data-driven professional passionate about building cutting-edge ML solutions and uncovering hidden patterns in data. Key Responsibilities Machine Learning Model Development: Design, develop, and implement machine learning models from conception to deployment. Perform feature engineering, model s...

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensu...

Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams. Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights. Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights. Own the full lifecycle of data science projectsfrom data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring. Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models. Require...