Author: The Hub

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. 

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.

What We Offer: At TaskUs, we prioritize our employees’ well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee’s career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

What can you expect in a “Business Insight Analyst” role with TaskUs: 

A business insights analyst plays a crucial role in an organization by extracting valuable information from various data sources and transforming it into actionable insights. They leverage their analytical skills and expertise to identify patterns, trends, and correlations in the data, enabling businesses to make informed decisions and drive growth. By analyzing market trends, customer behavior, and internal operations, the analyst provides valuable recommendations to optimize business strategies, improve operational efficiency, and identify new growth opportunities. They often collaborate with cross-functional teams, including marketing, finance, and operations, to ensure data-driven decision-making and effective implementation of strategies. Overall, the business insights analyst plays a pivotal role in helping organizations leverage data to gain a competitive edge and achieve their goals.

In addition to data analysis, the business insights analyst is responsible for creating and maintaining robust reporting systems and dashboards that provide stakeholders with timely and accurate information. They work closely with IT teams to design and develop data visualization tools that effectively communicate complex information in a clear and concise manner. These reports and dashboards are instrumental in tracking key performance indicators, monitoring business metrics, and measuring the success of various initiatives. The analyst ensures data integrity, accuracy, and consistency by implementing rigorous data quality control measures and addressing any discrepancies or anomalies. They also stay updated with the latest industry trends, tools, and technologies to continually enhance data analysis processes and deliver innovative solutions. Overall, the business insights analyst bridges the gap between data and decision-making, empowering businesses to make data-driven choices that drive profitability and success.

Required Qualifications: 

• Bachelor’s degree in a relevant field such as business analytics, data science, statistics, economics, or a related discipline.

• Proven experience in data analysis, data manipulation, and statistical analysis techniques.

• Proficiency in programming languages such as SQL, Python, or R.

• Strong analytical thinking and problem-solving skills to interpret complex data sets and generate actionable insights.

• Excellent communication skills to effectively convey data insights to diverse stakeholders.

• Familiarity with data visualization tools such as Tableau, Power BI, or Excel.

• Ability to work with large datasets and apply data mining techniques.

Preferred Qualifications: 

• Master’s degree in a relevant field or advanced certifications in business analytics or data science.

• Prior experience in a business insights or data analysis role, preferably in a similar industry or sector.

• Knowledge of specific domain areas, such as marketing, finance, or operations, relevant to the organization.

• Experience with machine learning techniques and predictive modeling.

• Familiarity with cloud-based data platforms and big data technologies.

• Strong business acumen and the ability to connect data insights to strategic objectives.

• Proven track record of delivering impactful insights and recommendations to drive business growth.

Education / Certifications: 

• Bachelor’s or Master’s degree in a relevant field such as business analytics, data science, statistics, economics, or a related discipline.

• Certifications in data analysis, data science, or related fields (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate).

Work Location / Work Schedule / Travel: 

• Hybrid Work

• Occasional visit in the office may be required for meetings, conferences, or client engagements, as per business needs.

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/.

JOB DESCRIPTION

The Senior Analyst, Global Real Estate and Retail Franchise will play a pivotal role in shaping and supporting Levi Strauss & Co.’s global real estate and retail franchise strategy. This position involves data-driven decision support for the Global DTC Investment Board, development of mapping tools, and insightful analysis to guide and enhance distribution strategies. A strong focus on automation and Python programming will be key to streamline and elevate reporting processes.

Key Responsibilities:

Support for Global DTC Investment Board:

• Drive the enhancement and ongoing maintenance of the PER hindsighting tool to streamline data collection and reporting.
• Document all approved real estate transactions and deals from diverse market clusters to maintain an accurate, up-to-date database.
• Retrieve and analyze data from PER files to derive strategic insights and hindsight reporting for future investments.
• Develop and implement automated data pipelines using Python to ensure seamless updates and minimize manual effort.

Development of Global Distribution Mapping Tool:

• Build a comprehensive distribution mapping tool on ArcGIS, covering all fleet locations globally and incorporating key performance metrics.
• Ensure the tool is fully integrated with existing databases, such as HANA and ELM, for automated, real-time data updates.
• Use Python to automate data extraction, transformation, and loading processes for consistent and efficient data integration.
• Explore the potential to expand the mapping tool’s capabilities to include corporate real estate data for broader utility across the organization.

Analysis and Reporting to Enhance Distribution Strategy:

• Leverage the distribution mapping tool to perform fleet analysis, including market penetration and growth opportunity assessments.
• Utilize Python for automating and expanding current reports and analytical models to ensure timely, accurate reporting in real estate and franchise areas.
• Conduct ad-hoc analyses to support critical decision-making processes, helping refine and optimize global distribution strategies.
• Implement Python-based dashboards and reporting scripts to automate recurring reports and enable data visualization for strategic insights.

Qualifications:

• Education: Bachelor’s in Business, Real Estate, Data Science, or related field (or equivalent experience) accepted.
• Experience: 3 to 5 years in Retail, Franchise, Account Management, or Strategy Consulting, ideally with international exposure.
• Skills:
  • Proficient in ArcGIS, SAP HANA, ELM, and Python for data automation.
  • Advanced Excel and PowerPoint; comfortable adopting new tools.
  • Strong analytical skills, with experience in store mathematics, P&L, and KPIs.
  • Excellent organizational, influencing, and stakeholder management abilities.
• Attributes: Commercially driven, pragmatic, passionate about retail/fashion.
• Language: Fluent in English.
• Travel: 5-10%.

Additional Skills:

• Proven ability to manage and enhance complex tools and reporting mechanisms.
• Experience with retail market analysis, penetration, and fleet analysis.
• Comfort with managing multiple projects across regions and time zones.

LOCATION

Bengaluru, India

FULL TIME/PART TIME

Full time

We are searching for a CDP Data Engineer (Adobe RTCDP) to help clients get value out of their investment in Customer Data Platforms like Adobe Real-Time CDP (RTCDP) by extracting, transforming, and loading the data into the platform to build the unified customer profile. You will work with a multidisciplinary team of Consultants, Solution Architects, Data Scientists, and Digital Marketers.

Role and Responsibilities

• Be a platform expert in Adobe Experience Platform Real-Time CDP
• Provide deep domain expertise in our client’s business, technology stack and data infrastructure, along with a broad knowledge base in data engineering
• Extract, transform and load marketing and customer data into the platform in an automated and scalable manner
• Design, build/configure and test the necessary Adobe Experience Platform source and destination connections, data sets, XDM schemas and identity namespaces
• Build the unified customer profile 
• Identify and write necessary queries needed for segmentation, reporting, analysis and ML models in query service

Preferred Qualifications

• College degree in Computer Science, Data Science, Analytics or related field
• Must have hands-on experience configuring Adobe Experience Platform RTCDP, including schema creation, ingesting data from a variety of sources, configuring identity resolution, and connecting destinations for activationAt least 5 years of experience architecting and building data pipelines
• At least 3 years of experience working in an agency environment and strong consulting skills working closely with clients
• Strong understanding and application of SQL Strong understanding of working with APIsStrong understanding of customer data platforms and the modern data infrastructure
• Experience working with cloud technologies such as AWS, Google Cloud, Azure or similar
• Experience working with data warehouse solutions like Amazon Redshift, Google BigQuery, Snowflake or similar
• Experience with data visualization tools like Tableau, PowerBI or similar is a plus

Data Analyst – Freelance, Remote

Department: Boutique Client

Employment Type: Freelance

Location: LatAm – Argentina

Reporting To: Client via Magic

Compensation: $5.00 / hour

Description

About the OpportunityWe’re building an inclusive pool of Data Analysts across all experience levels and specializations to match with exciting client projects. Whether you’re just starting your data analysis journey or you’re a seasoned expert, we welcome your application. This is not a traditional job posting – instead, we’re creating a talent pipeline to connect analysts with opportunities that match their expertise level and interests.
How It Works

1. Submit your application with detailed information about your expertise
2. Complete our skills assessment and technical evaluation
3. Join our talent pool if qualified
4. Get matched with relevant client projects based on your skills and availability
5. Accept projects that interest you and match your schedule

Why Join Our Talent Pool?

• Opportunities at Every Level: From entry-level to expert positions
• Flexible Engagement: Work on projects that match your schedule and interests
• Growth Potential: Start with basic projects and progress to more complex ones
• Mentorship Possibilities: Opportunities to learn from experienced analysts
• Diverse Projects: Access opportunities across industries and analytical specialties
• Quick Matching: Get fast-tracked to relevant opportunities when they arise
• Professional Development: Expand your portfolio with varied client projects
• Competitive Rates: Benefit from fair compensation based on your experience level

What We’re Looking For

We welcome applications from Data Analysts of all levels with expertise or interest in:

• Business Intelligence & Reporting
• Marketing Analytics
• Financial Analysis
• Operations Analytics
• Product Analytics
• Customer Analytics
• Data Visualization
• Statistical Analysis
• Predictive Modeling

• Real-Time Data Monitoring
• Dashboard Operation
• Report Generation & Distribution
• Data Quality Monitoring
• Basic Data Collection & Cleaning
• Excel-Based Analysis
• KPI Tracking & Reporting
• Performance Metrics Monitoring

• Junior Data Analyst
• Data Analysis Assistant
• Reporting Analyst
• Data Quality Analyst
• Analytics Support Specialist
• Metrics Coordinator
• Entry-Level Business Analyst
• Data Operations Analyst

• E-commerce Analytics
• Social Media Analytics
• Website Analytics
• Sales Analytics
• Support Analytics
• Inventory Analytics
• Basic Market Research
• Survey Data Analysis

Skills, Knowledge and Expertise

Required:

• Bachelor’s degree in a relevant field (Statistics, Mathematics, Economics, Computer Science, or related) OR equivalent practical experience
• Strong Excel/Google Sheets skills
• Basic understanding of data analysis concepts
• Attention to detail and accuracy
• Willingness to learn and grow
• Excellent written and verbal communication skills
• Basic problem-solving abilities

• Bachelor’s degree in a relevant field (Statistics, Mathematics, Economics, Computer Science, or related)
• 2+ years of professional experience in data analysis
• Strong proficiency in data manipulation and analysis tools
• Excellence in data visualization and presentation
• Strong problem-solving and analytical thinking skills
• Excellent written and verbal communication skills
• Ability to work independently
• Experience working in a remote/freelance capacity (preferred)

Candidates should be proficient in one or more of the following:

• Excel/Google Sheets
• Basic SQL or willingness to learn
• Basic data visualization skills
• Report generation
• Data entry and validation

• SQL and database querying
• Python or R for data analysis
• Business Intelligence tools (Power BI, Tableau, Looker, etc.)
• Advanced Excel/Google Sheets
• Statistical analysis software
• ETL tools and processes

What to expect…

Schedule:

• Majority of our clients are within US business hours from Monday to Friday but some may have unusual business hours. Opportunities maybe full-time or part-time.

Compensation:

• Rate starts at $5 per hour
• Payment is made via Deel

Equipment:

• Candidate must have the following WFH Set-Up:
  • Computer with at least 8GB RAM, an Intel i5 core processor/AMD Ryzen 5 Processor and up.
  • Internet speed of at least 40MBPS
  • Headset with an extended mic that has noise cancellation and a webcam
  • Back-up computer and internet connection
  • Quiet, dedicated workspace at home

Benefits

Description

Join the cutting-edge team at Samsung R&D Center as we embark on shaping the future of technology today. Beyond merely envisioning the horizon, we are actively pushing boundaries in various key areas of innovation. Samsung is committed to pioneering continuous advancements, delivering value to society, and fostering an environment where our employees can fully unleash their talents, creativity, and passion. Join us in building the tomorrow we envision,

The Group

Samsung Semiconductor Israel’s Computer Vision team is responsible for developing and productizing highly challenging, cutting edge, computer vision and machine learning algorithms for Samsung’s next generation products. Our team is making a significant impact on technology that reaches hundreds of millions of users around the world.

What will you do?

Take part in project of Building a proof of concept for a new camera feature with image generation capabilities for Samsung phones.

• Explore recent computer vision (CV)/machine learning (ML) technologies
• Collaborate with top notch CV and ML researchers
• Define, implement, test, train and evaluate neural network schemes
• Deal with HW and SW implementation constraints
• Define and implement algorithmic evaluation protocols 

Requirements

• MSc/PhD student (or exceptional BSc students) of CS/EE/Math or related field
• ML and NN Knowledge and experience
• Great coding skills with Python experience
• Capability to quickly grasp new fields and technologies.
• Great interpersonal skills

Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.
Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday – from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities – just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Job Description

Your Career

You can build a career solving network security challenges by leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning solutions to detect and remediate network issues, discover threats, provide intelligence, and protect devices.

At Palo Alto Networks, Managers of Engineering are:

• Deep technical experts and thought leaders help accelerate the adoption of the very best engineering practices while maintaining knowledge of industry innovations, trends, and practices
• Visionaries who deliver on critical business needs and are recognized across the company as go-to engineering resources on given domains
• Role models and mentors who exemplify the best of Palo Alto Networks culture – They do the right thing even when it’s hard, treat challenges as a chance to learn, and provide honest opinions so the team can improve
• Leaders who can communicate cogently with hands-on engineers as well as executives

Your Impact

• You will work in a fast-paced team to create and deliver new product and mission features to the network and security platform that many customers use daily
• You will actively engage and contribute to the network security community through collaborations
• You will be part of the team that is leading and driving industry technology evolution and creating a positive impact on business
• Participate in strategy planning to build next-generation data security products
• Manage the day-to-day to ensure the software is developed on schedule
• Manage multiple projects simultaneously
• Actively participate in code and architecture reviews
• Mentor and manage the professional development of the team members
• Thought leader of customer-first mindset

Qualifications

Your Experience 

• Passion for leadership and innovation
• Experience leading a team from either a technical or managerial perspective
• Demonstrable project management skills
• Excellent written and verbal communication skills
• Proven ability to collaborate with cross-functional teams, including Product Management and Design teams, emphasizing end-to-end delivery
• Excellent communication skills with the ability to influence at all levels of the organization
• M.S. or Ph.D in Computer Science, Mathematics, Statistics, or Electrical Engineering or equivalent military experience required
• 8+ years of development experience in Public Cloud, Data Engineering and Analytics
• 4+ years of direct people leadership experience
• 8+ years experience in design, algorithms, and data structures – Expertise with one or more of the following languages is a must – Java, Python, Golang
• Proven leadership skills with an ability to deliver under tight deadlines
• Familiarity with Agile (e.g., Scrum Process), Big Data technologies like Hive, Kafka, Hadoop, SQL, developing APIs, Cloud platforms such as GCP, AWS and Azure

Additional Information

The Team

To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we may be facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. As a predictive enterprise environment, we analyze petabytes of data that pass through our walls daily and we hire the most talented minds in data science to build creative predictive analytics and data science solutions for our cybersecurity solutions.

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure 

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $165000 – $267500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  

ac************@pa**************.com











.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship?: Yes

Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

Your Role and Responsibilities
As a software developer you will be responsible for Design, develop, implement, automate, deploy, and operate enterprise quality cloud-native software using a microservice architecture through agile development practices.
Lead and mentor other developers on your team.
Perform design and implementation reviews for other developers on multiple projects.
Regularly develop automation testing and maintenance of microservices.
Handle the operations of services deployed on the cloud. Prepare, write, or review technical documentation, such as content to be included in the product documentation and training materials.
Prepare and present technology architecture/design and demos at playback meetings to show progress and solicit team direction.
Assist customers and other IBMers to effectively use our products and learn from their experiences.
Identify and recommend improvements that can be made to continuously evolve and improve.

Required Technical and Professional Expertise

• 6 + Years of strong development experience in cloud native reactive applications in Java
• Expertise in OOPS /Design patterns
• Strong development experience with REST API based microservices development
• Working Knowledge in DB/SQL
• Working knowledge in Container technologies: Kubernetes, Docker
• Excellent verbal and written communication skills with the ability to present complex technical information
• Self-starter, organized, willing to learn and solve things on your own
• Ability to work effectively as part of a world-wide, agile development team
• Proven track record of being able to own development projects from design through implementation and delivery
• Team-mindset: Willingness to collaborate and iterate
• Growth-mindset: Willingness to learn new technologies and processes
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline

Preferred Technical and Professional Expertise

• Development experience in Python , Scala , Spark/SparkMLib , UNIX shell scripting and machine learning
• Agile Application Development & Scrum methodologies
• Experience with Public Cloud Services (AWS, Azure, IBM Cloud)
• Good debugging skills and troubleshooting be able to participate in Quality and Automation of the product as needed as Quality is very integral to the product
• Experience with DevOps practices

Key Job Details
Role:Software Developer Location:Bangalore, IN Category:Software Engineering Employment Type:Full-Time Travel Required:No Travel Contract Type:Regular Company:(0063) IBM India Private Limited Req ID:739602BR

Job Title

Intern Hue Full Stack Engineer – Data Platform

Job Description

We’re looking for a Hue Full Stack Engineer Intern to join our R&D Hue Connected team in Eindhoven.

Working for Signify means being creative and adaptive while working in a fast-paced company. Our culture of continuous learning and commitment to diversity and inclusion creates an environment that allows you to build your skills and career while transforming our industry.

As the world leader in lighting, we’re constantly ahead of the curve. Through our leadership in connected lighting and the Internet of Things, we’re breaking new grounds in data analytics, AI, and smart homes, offices, cities and more!

Signify is one of the few companies in the world to achieve carbon neutrality and our next sustainability goals are even bolder: doubling our positive impact on the environment and society by 2025.

As a Hue Full Stack Engineer Intern, you’ll have a great opportunity to gain knowledge and hands-on experience building a state-of-the art big data platform and data processing pipelines. You will have the opportunity to work alongside with our data engineers at the largest Lighting IoT company in the world, contributing to the design and implementation of a big data platform which is the able to support our business analysts, data scientist and is the foundation of our AI/ML use cases.

We’re on the lookout for forward-thinking innovators with a passion for sustainability. If you match this description, get in touch!

What you’ll do

• You’ll be a part of R&D team in Eindhoven and work on data use-cases.

• You’ll build a serverless big data platform with support for AI/ML.

• You’ll design and implement streaming data pipelines with real time analytics.

• You’ll innovate, explore and implement propositions on data analytics and Machine Learning.

• You’ll be actively participating in our virtual intern network where you’ll be working on business cases, personal development and building your internal network.

Your qualifications

• You are finalizing a Bachelors or Masters degree in the field of Computer Science / Software Engineering.

• You are passionate about software engineering and big data.

• You are highly skilled in Python 3.x programming and JavaScript (TypeScript) programming.

• You are very Knowledgeable with AWS services and common design patterns.

• Ready to learn on the job and not required to do a thesis.

• Available for minimum 6 months.

What you’ll get in return…

• Internship allowance: the exact amount depends on your situation (also towards rented accommodation or public transportation).

• Paid leave on the basis of 1 day per month.

• Extensive set of tools to drive your career, such as a personalized learning platform.

• Opportunity to purchase products in the staff shop (MyShop) at reduced prices.

We’re offering multiple opportunities for career development, like mentoring, coaching and stretch assignments, with strong international exposure for dynamic profiles. Learning is fundamental to our culture. Through continuous learning, we are transforming the industry. You have the chance to learn every day, acquire new skills and perspectives through customized online programs, and on-the-job experiences.

See #SignifyLife through the eyes of our employees!

What we promise

We’re committed to the continuous development of our employees, using our learning to shape the future of light and create a sustainable future. Join the undisputed leader in the lighting industry and be part of our diverse global team. #WeAreSignify #SignifyLife

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience in data analytics, Trust and Safety, research, risk and fraud investigation.
• Experience with SQL or Python.

Preferred qualifications:

• Master’s degree in Operations/Management Science, Computer Science, Engineering, Mathematics, or relevant fields.
• Experience in Trust and Safety teams including investigation, analysis or operations.
• Experience working with Large Language Models (LLMs) or applied AI.
• Experience designing or troubleshooting tools and features for users.
• Ability to mine and analyze large data sets.
• Excellent problem-solving skills with attention to detail in an ever-changing environment.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you’re a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed – with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

As a Product Specialist, you will promote trust in Google and ensure user safety on this team. Your main focus is developing capabilities, tools, and Artificial intelligence for fighting and detecting abuse on our platforms. You will understand the user’s point of view and are passionate about using your Business and Technical acumen to protect our users. You will work globally and cross-functionally with Google developers and Product Managers to navigate challenging online safety situations and manage abuse and fraud issues at scale on Products.

In this role, you will lead complex, multi-disciplinary projects. You will plan requirements with internal customers and usher projects through the entire project life-cycle. This includes managing project schedules, identifying risks and clearly communicating goals to project stakeholders.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

The US base salary range for this full-time position is $117,000-$172,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design, test, and deploy Trust and Safety capabilities and investigation tools. Collaborate closely with engineering to deliver scaled solutions for Trust and Safety users.
• Operationalize new product and Tool launches to support the scaling of Trust and Safety user protection, including understanding AI/Large Language Models can be applied to scale our abuse fighting efforts.
• Maintain up-to-date project reports, track issues and provide stakeholders with timely reports and other information derived from program data. Be responsible for the life-cycle of project deliverables.
• Coordinate, collaborate and influence across functions and teams within Trust and Safety. Prioritize and manage projects and deliverables effectively, and quickly adapt projects to changing processes and requirements. Advocate and represent Trust and Safety equities with stakeholder groups.
• Resolve complex product and process issues for multi stakeholder groups with tight timelines.

Device Economics is looking for a senior economist experienced in causal inference, machine learning, empirical industrial organization, and scaled systems to work on business problems to advance critical resource allocation and pricing decisions in the Amazon Devices org. Senior roles lead vision setting, methods innovation, and act as thought leaders to Devices finance and business executives. Output will be included in scaled systems to automate existing processes and to maximize business and customer objectives.

Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches and new marketplace launches. The Device Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this through scientific applications that provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, and product pricing and promotion. We have achieved substantial impact on the Devices business, and will achieve more.

Device Economics seeks an experienced economist adept in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, drive rigor, and mentor talent.

The candidate will work with Amazon Devices science leadership to refine science roadmaps, models, and priorities for innovation and simplification, and advance adoption of insights to influence important resource allocation and prioritization decisions. Effective communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.

Basic Qualifications

– PhD in economics or equivalent
– Experience in industry, consulting, government or academic research

Preferred Qualifications

– Experience in analytics and applied economics
– Experience in developing and executing an analytic vision to solve business-relevant problems
– Experience in building statistical models using R, Python, STATA, or a related software

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.