Senior Data Scientist

Senior Data Scientist - Applied AI

Working at Uber means solving hard problems in a high-stakes, fast-moving enviro...

Location

Brazil , Sao Paulo

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

5+ years of experience (or Ph.D. equivalent) in an Applied Science, Machine Learning, or Data Science role
Specialized domain expertise in Ranking, Recommender Systems (RecSys), or Search
Proven experience in training and deploying Deep Learning models at scale within a production environment
Proficiency in Python and SQL with experience handling large-scale datasets using Spark, Hive, or PySpark
Solid understanding of statistical methods, experimental design, and A/B testing
BSc., M.S., or Ph.D. in Computer Science, Machine Learning, Statistics, Economics, or a related quantitative field

Job Responsibility

Design and implement ML models and objective functions that unify competing business interests like organic relevance and sponsored content into a single value space
Act as the science lead for foundational machine learning initiatives, unblocking technical debt and optimizing feature engineering for high-scale, real-time systems
Navigate the ambiguity of user behavior by designing sophisticated experiments and causal inference frameworks that go beyond standard A/B testing
Collaborate across disciplines (Product, Engineering, and Data Science) to translate high-level business goals into theoretically sound and performant technical roadmaps
Research and apply advancements in Deep Learning, Reinforcement Learning, and GenAI to solve complex, high-impact problems without a clear starting point
Own your models end-to-end, from the first scientific hypothesis to debugging production issues in real-time, low-latency environments

Fulltime

Senior Machine Learning Engineer (Research Scientist) - Data Foundation & AI

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , New York

Salary:

228960.00 - 315360.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

Strong applied ML research skills with production delivery experience
Depth in Transformers/LLMs, representation learning, or large-scale model training
Demonstrated ability to ship models to production (not just prototype)
Distributed training experience and strong Python + software engineering fundamentals
Fintech / financial data domain experience is a plus
External publications or open-source contributions is a plus

Job Responsibility

Building a foundation model on one of the world’s richest financial datasets that no one else has
Doing research that ships: moving from experimentation and prototypes to production systems serving real customers
Working across the full ML stack, from pretraining objectives and architectures to serving infrastructure and monitoring
Collaborating with a high-caliber team and seeing your work amplify the capabilities of multiple product teams
Helping hundreds of millions of consumers achieve greater financial freedom through data-driven products

Fulltime

Scientist / Senior Scientist, Multimodal AI

Altos Labs is building a world-class AI ecosystem to solve the most complex prob...

Location

United States , San Francisco Bay Area, CA; San Diego, CA

Salary:

188600.00 - 330000.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field
Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning)
Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax
Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems
A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks

Job Responsibility

Model Development: Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities
Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets
Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment
Technical Collaboration: Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems

Fulltime

Senior Lead AI Research Scientist – Foundation Models & Agentic AI

Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Lead Quantita...

Location

United States , Charlotte

Salary:

185000.00 - 300000.00 USD / Year

Wells Fargo

Expiration Date

June 28, 2026

Requirements

7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Job Responsibility

Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation
Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations
Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs
Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges
Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts
Translate research insights into impactful business solutions, open-source contributions, patents, and publications
Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

Do you thrive on solving complex problems, uncovering insights, and shaping inno...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Proven consulting and stakeholder engagement skills with proven ability to influence decisions.
Proficiency in Python and SQL

Job Responsibility

Own end-to-end delivery of strategic data science projects
partner with customers and internal teams to design and implement advanced analytics and AI solutions that create measurable business impact
Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements
Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions
Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles
Identify opportunities to leverage generative AI for business transformation and innovation
Acquire, clean, and prepare large datasets for modeling
Build and deploy predictive and prescriptive models using modern machine learning techniques
Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions
Write efficient, maintainable code and ensure scalability for production environments

Fulltime

Senior Data Scientist

We are seeking an experienced Senior Data Scientist to design, develop, and depl...

Location

India , Hyderabad

Salary:

Not provided

YASH TECHNOLOGIES CONSULTING INC.

Expiration Date

Until further notice

Requirements

Strong foundation in Mathematics, Statistics, and Machine Learning theory
Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)
Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers)
Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive)
Strong knowledge of SQL and building data pipelines
Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform)
Hands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot)
Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring)
Bachelor’s/Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field
4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments

Job Responsibility

Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI
Develop data strategies including preprocessing, feature engineering, and scalable data pipelines
Apply MLOps best practices for model development, deployment, and monitoring
Collaborate with stakeholders to understand business problems and define data-driven solutions
Stay current with the latest advancements in AI/ML and evaluate their potential applications
Ensure models are explainable, ethical, and compliant with regulatory requirements

Senior Data Scientist

As a Senior Data Scientist, you will bridge the gap between complex datasets and...

Location

United States

Salary:

106227.00 - 167858.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

Fluent in Python and Jupyter for data analysis, statistical modeling, simulation, visualization & reporting
Fluent in SQL and working with large scale data using tools such as Hive, Presto, Druid, and Spark
Experience with building dashboards & reports using tools such as Jupyter, Quarto, Superset
A solid, intuitive understanding of how websites operate (including structure, user journeys, and tracking mechanisms), combined with practical expertise in web search SEO/GEO
A Bachelor’s degree + 5 years related experience or a Master’s degree + 3 years related experience
or equivalent work experience
Excellent communication skills
You must possess the statistical nuance required to design experiments, identify statistically significant phenomena, and frame findings into clear, high-level narratives
Comfortable working in a highly collaborative, remote environment

Job Responsibility

Integrating fragmented data from our internal data lake, BigQuery, Matomo, and external intelligence tools such as Ahrefs, Semrush, and Trakkr AI among others to create a unified, granular view of how users discover and use our content across desktop and mobile domains
Translating analytics and complex trends by geography, project, and topic into actionable narratives that help leadership navigate uncertainty and prioritize high-impact interventions
Developing automated systems to detect where our content is under-indexed or missing from results, providing the data necessary to improve article coverage, alternative titles, content for the Wikimedia Foundation’s websites, and FAQ structures
Establishing the metrics and frameworks to track how our content is utilized within Large Language Models and generative search engines, directly informing high-level negotiations and the valuation of our Enterprise offerings, as well as driving grassroot donor growth
Defining Measurable Outcomes: Collaborating with product leaders to set achievable goals and drafting the instrumentation requirements necessary to track success with technical precision
Assessing the efficacy of new initiatives through the rigorous design and analysis of experiments (e.g., A/B testing) to understand their true impact on our global audience
Interpreting website performance data to uncover insights, inform UX/UI enhancements, and support strategies aimed at improving customer experience and conversion outcomes on the Wikimedia Foundation’s websites

Fulltime

Senior, Data Scientist

Join Walmart and your work could help over 275 million global customers live bet...

Location

United States of America , Sunnyvale

Salary:

117000.00 - 234000.00 USD / Year

Walmart

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science with a specialization in Computer Vision, Machine Learning, or equivalent practical experience.
3+ years of experience with machine learning algorithms and tools.
Strong foundation in statistical analysis, experimental design (A/B testing), and causal inference.
Hands-on experience with Generative AI evaluation (e.g., using LLMs/VLMs for evaluation, computing FID/IS/CLIP scores, or designing perceptual studies).
Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow) for analyzing model outputs and building evaluation pipelines.
Experience processing unstructured data (image, video, 3D meshes) for analytical purposes.

Job Responsibility

Design Multi-Modal Evaluation Frameworks: Develop and validate novel evaluation metrics for non-deterministic outputs, specifically video, image, for 3D assets, and audio.
Build 'AI-as-a-Judge' Systems: Fine-tune Vision-Language Models (VLMs) and Reward Models to serve as automated evaluators, creating scalable proxies for human judgment.
Lead Experimentation & Causal Inference: Design and analyze A/B tests to measure the downstream business impact of GenAI content
apply causal inference techniques to understand how specific asset attributes drive user engagement.
Orchestrate Human-in-the-Loop (RLHF) Strategy: Define protocols for human evaluation, managing the relationship with annotation partners to create high-quality 'Golden Sets' for benchmarking and Reinforcement Learning from Human Feedback (RLHF).
Strategic Cross-Functional Partnership: Collaborate with ML Engineers and Product Managers to establish 'Go/No-Go' model launch criteria based on latency, safety, and perceptual quality standards.
Research & Innovation: Stay current with state-of-the-art research in perceptual quality (e.g., FID, CLIP scores, VQA) and implement advanced techniques to detect hallucinations, artifacts, or bias in generated content.

What we offer

401(k) match
stock purchase plan
paid maternity and parental leave
PTO
multiple health plans
medical
vision
dental
company-paid life insurance
short-term and long-term disability

Fulltime

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Senior Data Scientist - Data Foundations & AI

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