Sr Scientist, Tech Job at Uber (San Francisco)

Sr Data Scientist, Tech

Uber's mission is to reimagine the way the world moves for the better. Here, bol...

Location

United States , New York

Salary:

261248.00 - 313498.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

R or Python
SQL
Designing and overseeing data products, analytics, and automation solutions
Leading technical teams in automation, analytics, or data science
Developing end-to-end prototype solutions to automate business processes and improve efficiency
Identifying opportunities for business and operation optimization and efficiency
Machine learning and AI capabilities and identifying use cases to drive automation
Deploying code and developing best practices for automation capabilities.

Job Responsibility

Build prototype software solutions to automate business processes to drive operational efficiency
Leverage data to understand business problems and opportunities for automation, enabling teams to action levers that drive incremental business value without increasing manual burden
Conduct architecture and code reviews with Engineering teams to enable prototype solutions through internal and external APIs, finding opportunities to apply new AI technologies and tools
Monitor and track performance of automated activities to ensure business continuity and re-assess relevance periodically, and move beyond the prototype stage where relevant in partnership with Engineering and Product teams
Manage an in-person team that carries out similar duties as above, and oversee a remote team of analysts that create dashboards and reports to communicate results and monitor key metrics, through analysis and building data pipelines
Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience
Supervise at least 1 Data Scientist / 15-2051
Data Scientists.

What we offer

Bonus program
Other types of compensation
Various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

Sr. Applied Scientist

Are you passionate about programming languages, applying formal verification, pr...

Location

USA , Arlington

Salary:

167100.00 - 226100.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

PhD, or Master's degree and 6+ years of applied research experience
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
Experience in patents or publications at top-tier peer-reviewed conferences or journals

Job Responsibility

Interact with various teams to develop an understanding of their security and safety requirements
Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems
Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving
Perform analysis of the customer systems using tools developed in-house or externally provided
Create software prototypes to verify and validate the devised solutions methodologies
integrate the prototypes into production systems using standard software development tools and methodologies
Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences
Functional thought leader, sought after for key tech decisions
Mentors and trains the research scientist community on complex technical issues

What we offer

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Sr. Applied Scientist, Trustworthy Shopping Experience (TSE)

Are you passionate about solving complex business problems at scale through Gene...

Location

India , Bengaluru

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

5+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team

Job Responsibility

Design and build next-generation agentic AI systems that think, plan, and act—capable of multi-step reasoning, dynamic tool use, and autonomous task execution that transforms how investigations are conducted
Invent novel solutions across the AI frontier: autonomous reasoning, self-supervised representation learning, few-shot adaptation, feedback-driven optimization, and multimodal intelligence
Develop deep expertise in research areas strategic to the organization while maintaining solid understanding across adjacent domains
Identify and frame ill-defined customer and business problems, devising new research methodologies using a customer-obsessed scientific approach
Tackle ambiguous, high-impact challenges where the problem itself isn't yet fully defined—and shape the science roadmap that solves them
Automate complex investigation workflows involving unstructured text, documents, images, symbols, and rich relational data—directly impacting hundreds of millions of customers
Anticipate and articulate key scientific challenges of current and future customer needs, proactively presenting interventions to address them
Drive ideas from whiteboard sketch to production system—prototype rapidly, iterate relentlessly, and deploy solutions that scale
Engineer efficient, production-ready systems by distilling models into lightweight, cost-effective deployments without sacrificing capability
Build a proven track record of repeatedly delivering innovative, impactful scientific solutions into production

Sr Data Scientist

In this role, you will not only influence but also directly transform how an ent...

Location

India , Bengaluru, Chennai

Salary:

Not provided

Zuora

Expiration Date

Until further notice

Requirements

7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
Curious mind to learn, explore and identify biggest customer opportunities
Build strong relationships across both technical and business/product teams, earn trust with leadership
Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
Willingness to dive deep into the tech stack as well as hands-on coding
Experience in building end to end ML models, across the ML lifecycle
Strong communication and leadership presence
Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
Bachelors/Masters in a technical or natural sciences domain from a top university

Job Responsibility

Identify $ opportunities– think big picture, work with product, tech and customer-facing teams to identify the largest customer problems that can be solved using ML. Build business cases through a combination of market research and internal analytics
Stakeholder relationships and strong communication– work closely with a wide variety of stakeholders to build cohesive plans and execute them. Influence senior leadership through a data-driven approach, including but not limited to market research, customer case studies and pilots/experimentation.
Technical expertise, simplify complexity– build end to end ML models, be it classification/ unsupervised/ LLMs using a combination of structured and unstructured data. Work with upstream data engineering and software engineering teams to procure, process and transform data into meaningful features. Always work backwards from the customer, to identify the simplest feasible solutions that can add maximum value.
End to end ownership, delivering results– Take models into production and maintain them through effective ML engineering, demonstrate tangible business value, and deliver solutions rather than products.

What we offer

Competitive compensation, variable bonus and performance reward opportunities, and retirement programs
Medical insurance
Generous, flexible time off
Paid holidays, “wellness” days and company wide end of year break
6 months fully paid parental leave
Learning & Development stipend
Opportunities to volunteer and give back, including charitable donation match
Free resources and support for your mental wellbeing

New

Sr. Business Development Representative

Anaconda is seeking a talented Senior Business Development Representative to joi...

Location

United States

Salary:

60000.00 - 70000.00 USD / Year

Anaconda

Expiration Date

Until further notice

Requirements

1+ years of experience in Business Development
Highly competitive, achievement-oriented, motivated, and driven to exceed goals
Have high energy, enthusiasm, positive attitude, and a tenacity to succeed
Excellent communication skills, including phone and written communication, as well as active listening
Values selling experience
Experience prospecting into multi-threaded Enterprise-level accounts
Experience utilizing Sales Enablement tools (ie. Salesforce, Groove, LinkedIn Sales Navigator, ZoomInfo, etc.)
Demonstrated ability to use AI tools for account research and prospecting workflows, including identifying buying signals, building research briefs, or tailoring outreach to multiple personas within an enterprise account
Team attitude: I am not done until WE are done.
You embody our values of Clarity, Care and Candor

Job Responsibility

Manage and prioritize inbound leads to ensure timely and effective follow-up
Work with the sales team to develop and lead targeted outbound campaigns from idea generation through to qualified calls
Research accounts, identify key players, generate interest, and develop accounts to stimulate opportunity
Proactively organize and maintain the sales pipeline, keeping detailed records of leads, opportunities, and customer interactions
Develop and implement strategies to increase the conversion rate of meetings to opportunities, leveraging data-driven insights and best practices
Use AI tools to identify and prioritize buying signals across target accounts, including data role hiring patterns, GitHub activity, tech stack shifts, and funding events
Build AI-assisted account research briefs prior to first contact, synthesizing a prospect's AI strategy, current tooling, and likely pain points to inform outreach and discovery
Leverage AI to map personas within target accounts (data scientists, ML engineers, IT/security, procurement) and develop role-tailored messaging for each stakeholder

What we offer

Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Paid Parental Leave
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
variable commission structure based on performance
equity

Fulltime

Sr. Product Manager - Technical

The VAS Core Mobility team is looking for a strategic and execution-focused Seni...

Location

United States , Bellevue

Salary:

130900.00 - 236200.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
7+ years of relevant Product Management experience in an agile software product development environment
Advanced level understanding of customer experience
Product Lifecycle Management Experience in delivering large and complex business/technology initiatives
Communication Proven ability to effectively and efficiently communicate with Leadership, while employing a high degree of collaboration and influence
Agile Proven success in directing matrixed resources and delivering software, with Agile Scrum methodologies and other commonly used tools, across multiple teams
SCRUM Proven success in directing matrixed resources and delivering software, with Agile Scrum methodologies and other commonly used tools, across multiple teams
Agile Project Management Experience with Agile backlog/project management tools
Technical Writing Strong requirements elicitation, and proven writing skills including the ability to write concisely and clearly for different audiences
Business Analytics Strong analytical skills with demonstrated ability to identify/analyze/synthesize product use data and use the data to drive decisions

Job Responsibility

Owns product end to end for complex or cross-platform solutions for products of the highest level of complexity and scope, or family of products. This includes creating, managing, maintaining and communicating product vision and roadmap
Identifies target customer(s) for existing or future products, and designs and drives end user product research
Partners with business, internal/external stakeholders and Leadership to understand current customer experiences, identifies areas of opportunity
Conducts analysis of quantitative and qualitative data to identify product innovation opportunities or root cause of issues, and assess opportunity size and impact. May work with data scientists to answer complex questions or identify meaningful insights from data
Leverages rapid hypothesis driven testing methodologies and experiments (i.e. paper prototype, A/B testing, etc.) to inform direction, prioritize investment
Conducts cost-benefit / ROI / NPV analysis, competitive product analysis, to support decision making
Works with stakeholders and follows enterprise process to secure and maintain product funding
Anticipates industry trends, direction, innovation, analyses potential impacts or opportunities to customer / product, and incorporates analyses into product process
Communicates, influences, and sells ideas at VP level and below. This includes regularly delivering product presentations
Drives specific ad hoc analysis and presents information to executive level management on request

What we offer

Medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually
paid parental and family leave
family building benefits
back-up care
enhanced family support

Fulltime

Sr Data Engineer

The Senior Data Engineer plays a critical role in delivering strategic and opera...

Location

United States

Salary:

120000.00 - 160000.00 USD / Year

Personify Health

Expiration Date

Until further notice

Requirements

At least one AWS certification (e.g., AWS Certified Data Analytics – Specialty, Big Data – Specialty, Developer – Associate)
7+ years in data engineering or analytics engineering, with a strong focus on cloud-native architectures. Proven experience designing and operating scalable data platforms in AWS
5+ years in healthcare, insurance, or claims processing, including 5+ years working with EDI (834, 835, 837, 2222, 2223, 999), X12 file standards or HL7 standards and familiarity with HIPAA and CMS compliance
Expert-level proficiency in SQL (including pivots, window functions, and complex date calculations) and Python for data processing, transformation, and application development
Hands-on experience with orchestration tools like Airflow, containerization with Docker, and CI/CD pipelines. Strong bias for automation and continuous improvement
Proficient in consuming and transforming REST APIs and JSON data into relational models. Skilled in building robust data ingestion and transformation pipelines
Experience with JIRA, BitBucket Git, BitBucket Pipelines, and collaboration with cross-functional teams including Data Analysts, Data Scientists, Product, and Account Management
Proficient in Excel and BI tools such as Tableau, Power BI, and MicroStrategy for data analysis and reporting
Detail-oriented with a strong focus on data quality, accuracy, and performance tuning for large-scale data systems. Background in cost optimization and system reliability
Ability to mentor engineers, share technical knowledge, and communicate effectively with both technical and non-technical stakeholders. Strong documentation and systems thinking

Job Responsibility

Build data applications and processes using Python, SQL, and Django
manage and query data in PostgreSQL, Oracle, and cloud-native databases
Examine, extract, cleanse, and load data while implementing quality assurance rules and tools to ensure consistent and accurate data
Work with healthcare-specific data processes such as EDI file transfers, claims adjudication, audits, eligibility verification, and reporting workflows
Collaborate with cross-functional teams (Data Analysts, Data Scientists, Product, Reporting, Account Management) to define requirements and deliver data-driven solutions
Ensure data quality, integrity, and security through automated validation, auditing, and monitoring, with compliance to HIPAA and CMS regulations
Monitor, maintain, and tune pipeline performance
proactively troubleshoot and resolve complex data flow and system issues
Provide technical mentorship to Data Engineers, sharing expertise in data modeling, pipeline development, and troubleshooting practices
Research and propose improvements to the tech stack and data engineering processes

What we offer

Competitive base salary and benefits effective day one
Comprehensive medical and dental through our own health solutions (yes, we use what we build)
Unlimited PTO—rest and recharge time is non-negotiable
Mental health support, retirement planning, and financial protection
Professional development with clear career progression and learning budgets
Mission-driven culture where diverse perspectives drive real impact on people's health

Fulltime

Sr Associate - Product Management

Product Management at Capital One is a booming, vibrant craft that requires reim...

Location

United States , McLean, Virginia; Cambridge, Massachusetts; Richmond, Virginia

Salary:

101100.00 - 126900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s degree or military experience
At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering

Job Responsibility

Collaborate with tech teams to build comprehensive acceptance criteria
Breakdown business epics into features and into user stories
Use hypothesis-driven assessment of data
Own and prioritize feature development roadmaps
Work autonomously in an agile environment to conduct research and develop features
Collaborate with designers, technologists, data scientists and subject-matter experts
Deliver well-managed product platforms
Actively participate in horizontal forums
Articulate a succinct product roadmap

What we offer

Performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI)
Health, financial and other benefits

Fulltime

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Sr Scientist, Tech

Job Description

Job Responsibility

Requirements

What we offer

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