Staff Scientist, Tech Job at Uber (Bangalore)

Staff Data Scientist - Fraud & Risk

We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & ...

Location

United States

Salary:

140000.00 - 210000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field
or equivalent professional experience
8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment
Experience in fraud prevention, risk modeling, or identity verification
Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning)
Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images
Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development
Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)
Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions

Job Responsibility

Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges
Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images
Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments
Take ownership of project outcomes, data quality, and delivery timelines
proactively escalate issues and work collaboratively to resolve challenges
Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning
Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions
Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection
Present findings and recommendations to technical and executive stakeholders with clarity and influence
Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems

What we offer

Offers Equity
Offers Bonus

Fulltime

Staff Data Scientist, Experimentation Platform

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

217000.00 - 255000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Master’s or PhD in a quantitative field (e.g., statistics, economics, mathematics, engineering, natural sciences)
6+ years of experience with A/B testing, causal inference, experimental design, and statistical analysis in a tech environment
Deep expertise in statistical methods such as multivariate testing, adaptive experimentation, bayesian inference and machine learning techniques
Proficiency in Python or R for data analysis and experimentation workflows
Strong communication skills, a collaborative mindset, and a proactive approach to problem-solving

Job Responsibility

Evaluate current experimentation practices across Robinhood and identify areas for improvement
Enhance statistical methodologies underpinning the experimentation platform, including A/B testing and advanced techniques
Partner with engineering to build scalable tools and infrastructure for experimentation
Develop and evangelize best practices for experimentation across cross-functional teams
Consult with data science and product teams to ensure rigorous experimental design and interpretation
Contribute to roadmap planning by identifying high-leverage opportunities for platform development

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Staff Data Scientist

We’re looking for a Staff Data Scientist to shape the future of our marketplace ...

Location

Spain , Barcelona

Salary:

Not provided

Heetch

Expiration Date

Until further notice

Requirements

Deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically
Fluent in Python, SQL, and modern data/ML tooling
Experience bringing ML models into production and measuring their long-term business impact
Skilled at translating complex technical findings into actionable business insights
Collaborative leader who mentors peers and sets high standards for analytical rigor and impact
7+ years of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity

Job Responsibility

Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods
Define best practices and standards for experimentation, modelling, and analytical excellence across teams
Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities
Develop and deploy scalable models and data products that drive measurable business outcomes
Mentor and coach other data scientists and analysts, helping them deliver higher-impact work
Communicate insights and recommendations to senior leadership, influencing product and growth strategy
Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scale

Fulltime

Staff Data Scientist, Inference - Customer Support

As a Staff Data Scientist working on Inference in CS, you will have the opportun...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of relevant industry experience (e.g. data scientist, tech lead, junior faculty)
Master’s degree or PhD in relevant fields
Strong fluency in Python, SQL
Familiarity with causal inference and experimentation and a desire to continue to learn
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community

Job Responsibility

Lead DS efforts building segmentation features for CS including data exploration, optimization and model prototyping
Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for segmentation models, drive scientific decisions, and quantify impact
Develop simulations to validate the impact of potential product and operational changes to the business
Design and utilize new experiment frameworks to measure the effectiveness feature launches, even when A/B tests are infeasible
Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
Bring new ideas to the team which can improve the operational efficiency of customer support at airbnb

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Staff Machine Learning Research Scientist, LLM Evals

As a Staff Machine Learning Research Scientist on the LLM Evals team, you will l...

Location

United States , San Francisco; Seattle; New York

Salary:

280000.00 - 380000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
Experience and track of recording in landing major research impacts in a fast-paced environment
Experience tech leading a team of research scientists and research engineers
Excellent written and verbal communication skills
Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
Previous experience in a customer facing role.

Job Responsibility

Drive research on the effectiveness and limitations of existing LLM evaluation techniques
Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness
Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects
Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols
Implement scalable and reproducible evaluation pipelines using modern ML frameworks
Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives
Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects
Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science
Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend (may be eligible).

Fulltime

Senior Software Engineer Scientific Engine (Python)

Due to our consistent growth, we are seeking to expand our Data, Software and De...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Coaching or mentoring experience
Scoping and identifying solutions with business team
Handling human interactions between tech and business
Excellent communication skills, in both formal and informal settings, and in English and French
3 years or more of experiences as a software engineer or data scientist
Solid knowledge in Python
Solid engineering background: master in computer science, mathematics, physics or earth science
Experience optimizing and profiling python code
Experience in a microservices architecture
Good knowledge with Docker

Job Responsibility

Contribute directly on the code base either individually, in pairs or more
Organize REX sessions to share the knowledge received with the rest of the team
Ensure compliance to internal standards and practices
Present the progress and goals
Contribute to the technical roadmap through architecture meetings, design documents
Coach your collaborators to consistently deliver according to their roadmap
Provide expertise to help your team: Develop, optimize and update software for: Calculation of risk models
Data collection, preparation and visualization
Export of outputs adapted to users
Testing and validation of existing solutions

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from a punctual home office days

Msat Scientist I - Bioconjugation

Proclinical is seeking an MSAT Scientist I - Bioconjugation to support the trans...

Location

United States , Bristol

Salary:

Not provided

Proclinical

Expiration Date

Until further notice

Requirements

Degree in Biochemistry, Chemical Engineering, Pharmaceutical Sciences, or related field
Basic understanding of cGMP manufacturing environments
Exposure to bioconjugation processes such as ADCs or AOCs preferred but not required
Familiarity with purification techniques like TFF and chromatography (Protein A, IEX, HIC) is a plus
Understanding of aseptic techniques and single-use systems is advantageous
Strong attention to detail and documentation practices
Ability to follow technical instructions and adapt quickly in a fast-paced environment
Basic data analysis skills using Excel or similar tools
Effective communication skills and ability to work in cross-functional teams
Preferred experience with high-potency APIs, process validation, PPQ, and commercial tech transfer

Job Responsibility

Adhere to cGMP, GDP, GLP, FDA, and ICH requirements and internal procedures
Support technology transfer activities from Process Development or external partners into manufacturing, including document review and execution readiness
Assist in authoring and revising batch records, SOPs, BOMs, and other GMP documentation
Provide on-the-floor manufacturing support during batch execution, including troubleshooting under supervision
Contribute to deviation investigations, root cause analysis, and CAPA implementation with guidance from senior staff
Collect, trend, and analyze data to support process performance and continuous improvement
Participate in process characterization and scale-up activities
Support preparation and execution of PPQ and validation activities as assigned
Maintain knowledge of raw materials, consumables, and single-use assemblies used in manufacturing
Assist in developing training materials and updating process documentation

Fulltime

Sr. Staff Engineer, Matching & Segmentation

We are seeking a Sr. Staff Engineer and Tech Lead to join Uber's Mobility Matchi...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
8-10+ years of professional software development experience, building and operating systems in production environments
Strong knowledge of backend development, distributed systems, and system design for large-scale, low-latency applications
Experience with ML systems, optimization algorithms, or real-time decision systems in production
Demonstrated ability to lead complex, multi-team technical initiatives with significant cross-org dependencies
Excellent communication skills and the ability to collaborate effectively with cross-functional teams including Product, Science, and Operations
Proven ability to mentor and elevate other engineers, including Senior and Staff-level ICs

Job Responsibility

Be the Tech Lead for a complex domain within Matching & Segmentation, setting technical direction and driving architecture decisions across matching algorithms, segmentation models, forecasting systems, and real-time marketplace infrastructure
Design, develop, and deploy ML and optimization systems that solve high-impact business problems at scale — including real-time matching, reinforcement learning-based dispatch, and experiment-driven product development
Lead projects that span across orgs (e.g., matching, driver pricing, rider pricing, surge, platform) with significant cross-org dependencies and design complexity
Collaborate closely with Scientists, Product Managers, and peer engineering teams to define technical strategy, translate business requirements into system designs, and deliver high-quality solutions
Drive ongoing improvements in system reliability, performance, scalability, and efficiency through strong engineering practices, automation, and observability
Mentor and grow engineers across the organization, including Senior and Staff engineers, raising the technical bar and fostering a culture of engineering excellence
Contribute to the design and evolution of Uber's large-scale experimentation infrastructure, including Switchback experiments that power marketplace optimization decisions
Deliver and review technical designs, code, and documentation to a high standard, and champion best practices in data management, data quality, and service deployment

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

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