Scientist II, Delivery Job at Uber (New York)

Senior Scientist I/II - Analytical Development (CMC)

The Senior Scientist will be responsible for managing analytical development, gu...

Location

United States , Brisbane

Salary:

150000.00 - 176000.00 USD / Year

Mammoth Biosciences

Expiration Date

Until further notice

Requirements

PhD in Analytical Chemistry, Pharmaceutical Sciences, Biochemistry, or related field with 3+ years of relevant industry experience
MS with 6 years of experience in a biotech/pharma setting
Scientist II: PhD + 5 years minimum experience or MS + 8 years minimum experience
Strong working knowledge of oligo/mRNA-LNP related analytical methods
Hands-on expertise with relevant analytical techniques for gene/cell therapies or complex biologics (e.g., HPLC, LC-MS, DLS, UV, ELISA, qPCR/ddPCR, particle/aggregate characterization, and/or enzymatic assays)
Strong understanding of ICH guidelines, phase-appropriate method validation, and regulatory expectations
Proven track record of guiding method qualification and validation in early phase settings
Experience managing analytical workflows at CDMO/CTLs
Excellent problem-solving, communication, and cross-functional collaboration skills
Ability to regularly work onsite at our Brisbane, CA location

Job Responsibility

Support analytical method development and implementation, both internally and via contract labs, to support the characterization, release testing, and stability of CRISPR-based drug substance and drug product
Establish internal capabilities for select analytical assays in R&D labs, including method qualification and troubleshooting for nucleases, guide RNAs, and delivery vehicles
Manage relationships with external testing labs (CTLs) and manufacturing partners (CDMOs) to ensure method development, validation, and transfer meet project timelines and regulatory expectations
Draft and review protocols, reports, and method qualification and validation documentation in compliance with ICH and relevant regulatory guidelines
Provide technical leadership on assay design and analytical strategy, ensuring methods are phase-appropriate, scalable, and tailored for novel CRISPR-based genetic medicines
Support preparation of CMC documentation for regulatory submissions (e.g., INDs)
Evaluate and implement emerging analytical technologies that align with ultracompact CRISPR platform and pipeline needs
Help build and mentor a small team as the company scales

What we offer

Company-paid health/vision/dental benefits
Unlimited vacation and generous sick time
Company-sponsored meals and snacks
Wellness, caregiver and ergonomics benefits
401(k) with company matching

Fulltime

Scientist II, Uber Direct

We’re hiring a Scientist for the Uber Direct team—one of Uber’s fastest-growing ...

Location

United States , San Francisco

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Using SQL and Python / R to conduct analysis and produce insights
Data visualization and communicating technical topics clearly
Experimentation and stats foundations

Job Responsibility

Leverage Uber's data to build a best-in-class delivery experience for Uber’s Connect business
Translate complex analyses into clear, actionable insights and effectively communicate findings to executives, business leaders, and cross-functional stakeholders to shape product and business strategy
Collaborate closely with Product, Engineering, and Operations teams to define and drive a roadmap of high-impact initiatives, ensuring that marketplace design, pricing, and fulfillment strategies are informed by rigorous analysis and competitive intelligence

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

New

Applied Scientist II, Alexa International

Alexa International is looking for passionate, talented, and inventive Senior Ap...

Location

India , Bengaluru

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Job Responsibility

Analyze, understand, and model customer behavior and the customer experience based on large-scale data
Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants
Fine-tune/post-train LLMs using advanced and innovative techniques like SFT, DPO, Reinforcement Learning (RLHF and RLAIF) for supporting model performance specific to a customer’s location and language
Quickly experiment and set up experimentation framework for agile model and data analysis or A/B testing
Contribute through industry-first research to drive innovation forward
Drive cross-team scientific strategy and influence partner teams on LLM evaluation frameworks, post-training methodologies, and best practices for international speech and language systems
Lead end-to-end delivery of scientifically complex solutions from research to production, including reusable science components and services that resolve architecture deficiencies across teams
Serve as a scientific thought leader, communicating solutions clearly to partners, stakeholders, and senior leadership
Actively mentor junior scientists and contribute to the broader internal and external scientific community through publications and community engagement

Fulltime

Data Scientist II

At Seismic, we believe that AI, particularly Generative AI, will empower and tra...

Location

United States; Canada , Remote; Toronto

Salary:

78600.00 - 135600.00 USD / Year

Seismic

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or higher degree in Computer Science, Engineering, or related fields
2–4 years of industry experience in data science, machine learning, or applied AI (or 1–2 years with an advanced degree), with experience contributing to production systems or product features
Strong knowledge of Python is a must
Ideally comfortable with LangChain, pandas and other GenAI related python libraries
Strong hands-on skills in AI & ML service development, end-to-end product engineering, and data analytics
Experience with GenAI and cloud technologies
Ability to translate business and customer problems into technical solutions, and to iterate based on user feedback and data
Exceptional communication skills, with the ability to collaborate with cross-functional teams
Strong problem-solving and decision-making abilities, with a strategic mindset and a passion for driving product vision and business outcomes through technology
Experience thriving in dynamic, fast-paced environments, preferably within SaaS or technology-driven companies focused on customer and product innovation

Job Responsibility

Contribute to the development of AI-powered product features, from prototyping and experimentation through production delivery, deployment and iteration
Build and improve AI/machine learning, especially LLM-based systems (e.g., copilots, conversational workflows, or agent-style experiences) using established frameworks and internal platforms
Work with product and design teams to understand user needs and translate them into practical AI-driven solutions
Partner with engineers, designers, and other data scientists to build, test, and refine AI features, balancing model performance, system reliability, and user experience
Help define and analyze metrics to evaluate model performance, product usage, and customer impact, and use data to guide improvements

Fulltime

New

Machine Learning Engineer II

Uber's Marketplace is at the core of the business. The Earner Incentive team in ...

Location

United States , San Francisco; Sunnyvale

Salary:

171000.00 - 190000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or M.S. degree in Computer Science, Statistics, Mathematics, Machine Learning, Operations Research, or a related technical field, or equivalent practical experience
2+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
Solid understanding of machine learning and statistical techniques, including deep learning (e.g., multi-task learning), tree-based models, and experimentation
Proficiency in at least one production-grade language (Python, Scala, Java, or Go) and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)
Solid software engineering fundamentals, including the ability to write clean, maintainable production code, conduct thorough code reviews, and implement testing best practices
Experience operating and monitoring ML models in a production setting, with a basic understanding of MLOps workflows
Strong learning mindset, proactive ownership, and effective communication skills
ability to collaborate effectively within cross-functional teams

Job Responsibility

Build, productionize, and maintain ML solutions and data pipelines for the large-scale systems that power Uber's driver incentives
Implement and iterate on advanced ML and optimization techniques to improve marketplace efficiency and reliability, directly impacting the earning opportunities of millions of drivers
Translate business requirements into actionable technical tasks and practical, production-ready code, navigating technical trade-offs to ensure system reliability
Develop a deep understanding of incentives, pricing, and marketplace dynamics to build systems that align with operational needs and business goals
Contribute to high engineering standards by participating in design and code reviews, maintaining robust testing, and ensuring the stability of production ML systems
Partner closely with engineers, product managers, and scientists to ensure the successful delivery of high-impact solutions to marketplace problems
Own technical workstreams from development through production rollout, ensuring consistent execution and measurable impact on your immediate team's goals

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits

Fulltime

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...

Location

United States , Minneapolis

Salary:

322000.00 USD / Year

Coherent Solutions

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
(ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
(iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph

Job Responsibility

Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact

What we offer

health insurance
vision insurance
dental insurance
life insurance
PTO
401k
HSA

Fulltime

New

Principal Data Scientist

Do you enjoy solving problems, looking at problems through a different lens, and...

Location

Canada , Greater Toronto

Salary:

142400.00 - 257500.00 CAD / 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 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
Master'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)
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience
Currently have, or have the ability to obtain Secret (Level II) screening from a duly authorized department or agency of the Government of Canada
Need to be able to travel into the US to work with US customers

Job Responsibility

Oversee data acquisition and ensure data is properly formatted and described
Coach engineers in data cleaning and analysis best practices
Identify gaps in current data sets
Drive ethics and privacy discussions around data collection and preparation
Evaluate team’s models and recommend improvements
Drive best practices for models
Develop operational models that run at scale
Conduct thorough reviews of data analysis and modeling techniques
Identify and invent new evaluation methods
Research and maintain a deep knowledge of the industry

What we offer

Competitive package including a wide range of benefits built around personal needs
Health, wellness, and financial future investment

Fulltime

Senior Data Scientist

Do you enjoy solving problems, looking at problems through a different lens, and...

Location

Canada , Greater Toronto

Salary:

114400.00 - 203900.00 CAD / 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
2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience
Currently have, or have the ability to obtain Secret (Level II) screening from a duly authorized department or agency of the Government of Canada
Need to be able to travel into the US to work with US customers

Job Responsibility

Acquire the data necessary for your project plan and develop usable data sets for modeling
Update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers
Evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale
Conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods
Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices
Write extensible code that spans multiple features, and develop expertise in proper debugging techniques
Define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities
Apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations
Embody our culture and values

Fulltime

Scientist II, Delivery

Uber

Location:
United States , New York ▼
San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 21, 2026

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