CrawlJobs Logo

Senior Scientist, Direct

uber.com Logo

Uber

Location Icon

Location:
United States; Canada , New York

Category Icon

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

173000.00 - 211000.00 USD; CAD / Year

Job Description:

We’re hiring a Senior Scientist for the Uber Direct team—one of Uber’s fastest-growing and most dynamic business lines. Uber Direct enables merchants, enterprises, and consumers to get anything delivered, from retail returns and prescription deliveries to cross-country shipments. This role offers a rare opportunity to help define a new category of delivery beyond food and mobility, and to reimagine what on-demand logistics can look like at global scale. In this role, you will serve as a thought partner to cross-functional leaders and help set the scientific strategy for building a healthy, efficient, and scalable three-sided marketplace. We are looking for a candidate with deep expertise in Economics, Operations Research, or a related quantitative field, and a strong passion for designing foundational marketplace systems that extend beyond existing food-delivery paradigms. You will work closely with Product, Engineering, Operations, and fellow Scientists to develop a deep understanding of marketplace dynamics. You will design incentive mechanisms and build models and algorithms that power pricing, matching, batching, fulfillment efficiency, and other core systems. This role is highly influential, with direct impact on the evolution of Uber Direct’s marketplace architecture, ensuring that our products and decisions are grounded in rigorous scientific thinking.

Job Responsibility:

  • Leverage advanced analytical and quantitative techniques—including machine learning, statistical modeling, causal inference, funnel analysis, and deep-dive analytics—to build a best-in-class delivery experience for Uber’s Direct 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
  • Provide technical mentorship and thought leadership, raising the bar for scientific rigor, championing best practices in statistical and machine learning methodologies, and fostering a strong culture of data-driven decision-making

Requirements:

  • Ph.D., M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field (e.g., Statistics, Applied Mathematics, Computer Science with a strong modeling focus)
  • Strong foundation in marketplace modeling and dynamics, including experimental design (e.g., A/B testing), causal inference, and optimization techniques
  • Proficiency in SQL and experience using Python or R for data analysis, modeling, and prototyping
  • Demonstrated ability to extract insights from complex datasets, distill them into actionable strategies, and influence product and business decisions
  • Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to cross-functional stakeholders and drive alignment across teams

Nice to have:

  • Ph.D. with minimal 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role
  • Deep expertise in pricing, marketplace modeling, or optimization, particularly in the context of complex multi-sided platforms
  • Advanced knowledge of experimental design and causal inference techniques, including observational studies and quasi-experimental methods
  • Hands-on experience working with messy, incomplete, or noisy datasets to generate insights and drive real-world impact
  • Proven ability to collaborate and influence senior stakeholders (Director level and above) through clear, data-driven recommendations
  • Strong judgment and critical thinking skills, with a track record of navigating ambiguity, setting priorities, and making high-quality decisions in a fast-moving environment
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

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Scientist, Direct

Senior Principal Scientist – Target Discovery & Biology

Amgen’s Target Discovery & Biology (TD&B) organization integrates functional gen...
Location
Location
United States , Thousand Oaks
Salary
Salary:
171106.00 - 209556.00 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] and 3 years of directly related experience
  • Master’s degree and 6 years of directly related experience
  • Bachelor’s degree and 8 years of directly related experience
  • Doctorate degree in cell biology, molecular biology, biomedical engineering, or related discipline
  • 6+ years of relevant experience in biotech or pharma, including leadership of scientific teams
  • Strong track record in complex in vitro model development, cell engineering, and high-throughput or automated screening
  • Experience with high-content imaging and transcriptional assay readouts
  • Demonstrated ability to collaborate with cross-functional teams to translate disease biology into experimental models
  • Experience with viral vector systems (AAV, lentivirus, or related technologies) for gene delivery and perturbation
  • Experience in leading or mentoring scientists, with proven success in project execution and team development
Job Responsibility
Job Responsibility
  • Provide scientific and operational leadership for a team of scientists delivering advanced in vitro models and screening-ready systems in collaboration with therapeutic area partners
  • Guide the design, optimization, and screen implementation of cellular models that capture disease-relevant biology, integrating insights from disease tissue profiling data
  • Champion partnerships with automation colleagues accelerate model deployment and reproducibility
  • Collaborate with Amgen therapeutic area scientists to define requirements, ensure biological relevance, and deliver systems that enable mechanistic and translational insights
  • Identify and implement emerging technologies in cell engineering, automation, and complex model systems to enhance the sophistication and throughput of discovery platforms
  • Foster a collaborative, creative, and scientifically rigorous team culture committed to delivering impact across Amgen’s pipeline
What we offer
What we offer
  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible
  • Fulltime
Read More
Arrow Right

Senior Data Scientist, Decisions

Rocket Money is looking for a Senior Data Scientist to drive marketing efficienc...
Location
Location
United States , San Francisco, CA; Washington, D.C.; New York City, N.Y.; Silver Spring; Miami; Denver
Salary
Salary:
180000.00 - 220000.00 USD / Year
truebill.com Logo
Truebill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional experience in data science
  • Proficiency in SQL
  • Proficiency in at least one scripting language
  • Proficiency in statistical modeling
  • Proficiency in engineering scalable experimentation solutions
  • Expert level experiment design and assessment skills
  • Direct experience building production grade tooling for operational use by teams of internal decision makers
  • Experience driving marketing and product strategy with experimental and observational data
  • Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
  • Proven ability to collaborate across teams and communicate technical insights effectively
Job Responsibility
Job Responsibility
  • Lead internal marketing effectiveness measurement and estimation approaches
  • Lead projects from start to finish
  • Design and conduct experiments to estimate the impact of marketing and product strategies
  • Lead a systematic marketing and product experimentation program
  • Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers
  • Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines
  • Build, test, and deliver internal facing predictive tools
  • Effectively design and assess experiments for a variety of user facing experiences
  • Mentor other members, participate in code reviews, and ensure quality in production systems
  • Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine
What we offer
What we offer
  • Health, Dental & Vision Plans
  • Life Insurance
  • Long/Short Term Disability
  • Competitive Pay
  • 401k Matching
  • Team Member Stock Purchasing Program (TMSPP)
  • Learning & Development Opportunities
  • Tuition Reimbursement
  • Unlimited PTO
  • Daily Lunch, Snacks & Coffee (in-office only)
  • Fulltime
Read More
Arrow Right

Senior Blockchain Data Scientist

Senior Blockchain Data Scientist position at Ledger, responsible for leveraging ...
Location
Location
France , Paris
Salary
Salary:
Not provided
https://www.ledger.com Logo
Ledger
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of professional experience in a Data Scientist, Data Engineer, or relevant analytical role
  • Exceptional proficiency in SQL for complex data extraction, manipulation, and optimization
  • Significant experience with Python for statistical analysis, modeling, and building data-intensive applications
  • Proven experience in building and optimizing scalable data pipelines using dbt and Airflow
  • Direct experience working with public blockchain data (Ethereum, Bitcoin, Layer 2s, DeFi protocols) is a significant advantage
  • Experience with machine learning, time-series analysis, or predictive modeling is a plus
  • Excellent ability to communicate technical findings and methodologies to non-technical audiences
  • Strong interest in cryptocurrencies, blockchain technology, and the Web3 ecosystem
Job Responsibility
Job Responsibility
  • Design, build, and maintain robust, scalable data pipelines (ETL/ELT) using tools like dbt and Airflow
  • Perform in-depth analysis of large-scale, complex blockchain data (on-chain and off-chain) to uncover key trends and optimize product features
  • Partner with Product, Engineering, and Finance teams to translate business questions into analytical frameworks and deliver actionable recommendations
  • Monitor company performance, track revenue, and identify user segments to support strategic direction
  • Design and maintain BI dashboards using tools like Tableau
  • Ensure data quality and accessibility for the entire organization
  • Master a cutting-edge technical stack (Python, Snowflake, DBT, Airflow, Generative AI tools)
What we offer
What we offer
  • Flexible work options - work from home up to 3 times per week
  • Health & Wellness support - Health and Life Insurance
  • Financial growth opportunities - employees can become shareholders in Ledger
  • Commuter allowance - contribution to preferred means of transportation
  • Learning & Development - comprehensive suite of training solutions
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

As a Senior Data Scientist llI, you will leverage your advanced analytical skill...
Location
Location
United States , Raleigh
Salary
Salary:
Not provided
bhsg.com Logo
Beacon Hill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Must be in EST or CST
  • 3+ years of data scientist experience (working with different LLM tools, RAG implementations/evaluations, etc)
  • Strong Python programming skills
  • Experience/exposure maintaining production support alongside a team of Software Engineers
Job Responsibility
Job Responsibility
  • Leverage advanced analytical skills to extract insights from complex datasets
  • Drive data-driven decision-making and contribute to the development of innovative solutions
  • Collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis
  • Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
  • Possess knowledge and skills in a senior data scientist position
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
  • Experience with coding skills in Python or another programming language
  • Be experienced in mentoring, training, and acting as a subject matter expert to guide colleagues
  • Fulltime
Read More
Arrow Right

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...
Location
Location
United States , Atlanta, GA/Boston, MA/San Ramon, CA
Salary
Salary:
100000.00 - 160000.00 USD / Year
bhspecialty.com Logo
Berkshire Hathaway Specialty Insurance
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
  • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
  • Advanced knowledge of probability theory, statistics, and machine learning methods is required
  • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
  • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
  • Strong written and verbal communication skills
  • Strong programming skills in Python (preferred), R, and SQL
  • Experience and understanding of relational and non-relational databases preferred
  • Comfort working within git-based version-control environments
Job Responsibility
Job Responsibility
  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
  • Work with domain experts across teams and perils to enhance our use of available data
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
What we offer
What we offer
  • Comprehensive Health, Dental and Vision benefits
  • Disability Insurance (both short-term and long-term)
  • Life Insurance (for you and your family)
  • Accidental Death & Dismemberment Insurance (for you and your family)
  • Flexible Spending Accounts
  • Health Reimbursement Account
  • Employee Assistance Program
  • Retirement Savings 401(k) Plan with Company Match
  • Generous holiday and Paid Time Off
  • Tuition Reimbursement
  • Fulltime
Read More
Arrow Right

Ai Applied Researcher

Join the Accenture Labs’ AI R&D Team and work on core AI Models / technology tha...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
accenture.com Logo
Accenture
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Review, analyze, and strategically summarize the latest academic and industry research in technical domains (e.g., LLM domain adaptation, knowledge integration, reasoning techniques)
  • Adapt foundation and compact language models to specialized domains using techniques such as fine-tuning, continued pre-training, distillation, and parameter-efficient methods (e.g. LoRA)
  • Design and implement agentic LLM systems that integrate external tools (APIs, databases, services, rule engines) to perform precision and verifiable tasks
  • Hands-on Prototype Development: Collaborate directly with Senior Research Scientists to rapidly design, build, and test Proof-of-Concepts
  • Research Dissemination: Articulate complex research findings into clear, persuasive, and publishable papers and presentations for both academic and business audiences
  • Strategic Storytelling: Craft engaging narratives and technical demonstrations that translate research outcomes into clear, compelling value propositions
Job Responsibility
Job Responsibility
  • Research Synthesis
  • Adapt foundation and compact language models to specialized domains
  • Design and implement agentic LLM systems
  • Hands-on Prototype Development
  • Research Dissemination
  • Strategic Storytelling
  • Fulltime
Read More
Arrow Right

Scientist / Senior Scientist, Multimodal AI

Altos Labs is building a world-class AI ecosystem to solve the most complex prob...
Location
Location
United States , San Francisco Bay Area, CA; San Diego, CA
Salary
Salary:
188600.00 - 330000.00 USD / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Senior Data Scientist

We are seeking an experienced Data Science Specialist to join our AI delivery te...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
berettaclima.it Logo
Beretta Clima Italia
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Statistics, Mathematics, or a related quantitative field strongly preferred
  • 10+ years of hands-on experience in applied data science and machine learning, with a proven track record of leading complex AI initiatives
  • Demonstrated expertise in designing and implementing novel machine learning approaches for unique business challenges
  • Deep understanding of modern AI/ML architectures, including advanced neural networks, reinforcement learning, and generative AI
  • Extensive experience with distributed computing, model optimization, and scaling AI solutions in production environments
  • Strong background in mathematical modeling, statistical analysis, and algorithmic complexity
  • Proven ability to lead technical strategy and drive innovation in data science practices
  • Experience architecting end-to-end ML solutions that integrate with complex enterprise systems
  • Advanced expertise in multiple programming languages (Python, R, Java, Scala) and major deep learning frameworks
  • Comprehensive understanding of MLOps practices and experience designing deployment architectures
Job Responsibility
Job Responsibility
  • Architect and lead the development of sophisticated machine learning solutions for our most complex and high-impact business challenges, ensuring scalability, maintainability, and business value
  • Drive technical decision-making across multiple AI initiatives, providing expertise in selecting appropriate methodologies, frameworks, and approaches for different use cases
  • Establish technical standards and best practices for the entire data science practice, including model development, evaluation criteria, and deployment strategies
  • Serve as the principal technical advisor to senior leadership on AI capabilities, limitations, and strategic opportunities
  • Lead proof-of-concept initiatives for emerging AI technologies and assess their potential impact on business objectives
  • Design and implement novel machine learning approaches when standard solutions prove insufficient for complex business problems
  • Provide technical oversight for critical AI projects, ensuring quality, scalability, and alignment with architectural standards
  • Mentor and guide senior data scientists, helping them grow their technical expertise and problem-solving capabilities
  • Collaborate with enterprise architecture teams to ensure AI solutions align with broader technical strategies and standards
  • Lead technical reviews and provide architectural guidance for complex AI solutions across multiple teams
What we offer
What we offer
  • Have peace of mind and body with our health insurance
  • Drive forward your career through professional development opportunities
  • Achieve your personal goals with our Employee Assistance Programme
  • Fulltime
Read More
Arrow Right