Sr Data Scientist, Tech Job at Uber (New York)

Sr. Data Scientist - Freewheel

Freewheel is currently looking to recruit a Sr. Data Scientist to join our Audie...

Location

United States

Salary:

Not provided

Comcast Advertising

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a technical field such as Data Science, Computer Science, Engineering, Business Analytics, Mathematics, Statistics, or Operations Research
At least 3 of experience with Python, SQL, and analytical model implementation
Experience with Optimization Models such as Linear and Nonlinear Programming
Skilled at data mangling and manipulation
Experience with data visualization tools and programming packages
Strong analytical and problem-solving skills
ability to work creatively in problem solving environment
Experience using AWS or other cloud-based platforms
Proven ability to deliver on complex projects within deadlines
Ability to communicate technical concepts to a non-technical audience

Job Responsibility

Implement ad tech solutions leveraging statistical models and machine learning methods
Identify key data questions and conducting exploratory analyses
Building forecasting methods for advertising use cases
Applying optimization methods for ad scheduling applications
Effectively leveraging key functionality in AWS and Spark-based technologies
Researching and applying new technologies and analytical methods
Applying advanced data visualization to provide key insights
Working independently and as part of a broader team across multiple project

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support

Fulltime

Sr Scientist, Tech

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

Location

United States , San Francisco

Salary:

183000.00 - 223000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D.'s degree in Economics, Statistics, or related field
one year of experience in the job offered or in a related occupation
R or Python
Database query languages: SQL
Experimentation techniques including simulation or A/B testing
Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals
Developing relevant metrics
Quantitative modeling including machine learning models or time-series forecasting
Econometrics
Causal inference analysis techniques, such as dynamic differences in differences, regression discontinuity designs, or synthetic controls

Job Responsibility

Leverage data to perform intensive analysis across all areas of business to drive product development
Design experiments and analyze results to draw conclusions
Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends
Build models to enhance understanding of user behavior and predict future performance of cohorts
Create dashboards and reports to regularly communicate results and monitor key metrics
Extract data from warehouse, back-test the model, and compare the model performance and communicate the results
Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience
May telecommute

What we offer

Eligible to participate in Uber's bonus program
Eligible for various benefits (details at link)

Fulltime

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

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. 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

Senior SDE, Prime Video Personalization & Discovery

Prime Video is a first-stop entertainment destination offering customers a vast ...

Location

United States of America , Sunnyvale; New York; Seattle

Salary:

168100.00 - 261500.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team

Job Responsibility

As a Sr. SDE on the Prime Video Data Platform team, you will have deep subject matter expertise in the areas of big data pipeline architecture, data foundations for personalization & recommendation systems and world-class user experience for customers of our data & ML infrastructure offerings
You will work with teams of scientists, product managers and engineers to translate business and functional requirements into concrete system deliverables
You will have the opportunity to build new platform services from the ground up, driving the development of innovative approaches to personalization, and providing opportunities for scientists and engineers to invent and implement scalable ML solutions supporting new customer experiences

What we offer

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
sign-on payments
restricted stock units (RSUs)

Fulltime

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

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Sr Data Scientist, Tech

Job Description

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