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Data Engineer, Product Analytics

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<br>
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Seattle, WA, USA; Kirkland, WA, USA; New York, NY, USA; Sunnyvale, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.</li>
<li>7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.</li>
<li>Experience deploying ML models into production environments.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.<br>
</li>
<li>Experience with Machine Learning Operations (MLOps) tools and practices.</li>
<li>Understanding of business-to-business (B2B) enterprise SaaS business cycles, demand generation funnels, and marketing technology stacks.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.</p>
<p>
As a Staff Business Data Scientist, you will serve as a full-stack technical lead, owning the end-to-end life-cycle of data science products that drive Google Cloud&rsquo;s marketing and Go-to-market (GTM) strategy and measurement. You will move beyond traditional analysis to architect and build scalable intelligence systems.</p><p>
In this role, you will bridge the gap between data engineering and data science. You will build the infrastructure required to ingest and process massive datasets, develop predictive models (e.g., lead scoring, propensity predictions), and engineer the Application Programming Interfaces (APIs) or serving layers that integrate these insights directly into our marketing measurement and tech stack. You will have a specific mandate to leverage Google&rsquo;s Generative AI capabilities and will utilize Large Language Models (LLMs) and Gemini models to engineer novel data science products that enhance our predictive capabilities. You will advocate for software engineering best practices within the data science team, ensuring our code is testable and maintainable. You will work with Marketing leadership to ensure the intelligence systems you build actively influence decision-making. You will also mentor data scientists on the team and advocate for statistical methodology and coding standards across the organization.</p>
The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.<div></div><div><br>
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.</div></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Lead the full Machine Learning (ML) life-cycle from data extraction and feature engineering to model training, validation, and deployment for critical marketing capabilities. Design and build ML models that solve ambiguous business problems and optimize the full customer life-cycle and demand funnel.</li>
<li>Design scalable data science applications using Google&rsquo;s LLM models to unlock insights from structured and unstructured data, build intelligent marketing agents, and automate decision-making processes within the Business-to-Business (B2B) funnel.</li>
<li>Define coding standards and engineering best practices for the team; mentor other data scientists on writing production-quality code and designing scalable architectures.</li>
<li>Partner with engineering and cross-functional data science teams to integrate model outputs directly into our martech systems, ensuring insights drive automated action.</li>
<li>Translate data science outputs into clear, actionable business recommendations for Director and Vice President level stakeholders.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Business Data Scientist, Google Cloud Marketing

Third Sector Intelligence

<div>Description:
<p><b>
This is a fully REMOTE position.</b> <b><i>Only applicants who currently reside in California, Colorado, Oregon, and Washington State will be considered for this role</i></b><b><i>.</i></b></p><p><b>
About 3Si</b></p><p>
Third Sector Intelligence (3Si) is a mission-driven company that provides data and analytics solutions to support early childhood education programs. We are a small, high-performing, and rapidly growing 20-person company with team members in Washington, Colorado, California, and Oregon.</p><p>
We are looking for a passionate and talented Senior Data Engineer to join our team and help us make a real difference in the lives of children and families.</p><p><b>
About the Role</b></p><p>
This role is critical in directly impacting the company&rsquo;s mission to provide data-driven insights to improve early childhood education across the country.</p><p>
3Si is entering a period of significant growth and expansion, with several new contracts and expansions expected in 2026. This growth will require building and maintaining robust, scalable, and secure data pipelines.</p><p>
The Senior Data Engineer will help to automate operational tasks, improve data quality and consistency, and empower other teams to access and utilize data more effectively. The Senior Data Engineer will work closely with other data engineers and BI analysts to implement a vision for a more automated and user-friendly data platform that can be easily deployed to clients.</p><p><b>
Responsibilities</b></p><ul><li>
Design, build, and maintain robust and scalable data pipelines using Python and SQL.</li><li>
Contribute to the development of a modular platform architecture that supports client-specific customizations while maintaining a clean and efficient core system.</li><li>
Develop and implement automation for routine operational tasks, such as data ingestion and configuration management. This includes automating manual data uploading processes.</li><li>
Develop and maintain a comprehensive unit testing framework for ETL processes and data transformations to ensure data quality.</li><li>
Implement comprehensive logging, monitoring, and alerting mechanisms for all ETL processes and data transformations.</li><li>
Work directly with clients and cross-functional teams; strong communication skills and professionalism are essential.</li><li>
Provide guidance and mentorship to junior engineers to enhance their technical skills.</li></ul>
Requirements:
<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
5+ years of experience as a Data Engineer or in a similar role.</li><li>
Strong programming skills in Python and SQL.</li><li>
Experience working with cloud environments for data storage, processing, and deployment.</li><li>
Experience with workflow orchestration tools.</li><li>
Experience with data modeling, ETL development, and data warehousing.</li><li>
Experience with unit testing and source control.</li><li>
Excellent communication and collaboration skills, including the ability to communicate technical concepts to non-technical audiences.</li><li>
Ability to work independently and as part of an agile team.</li><li>
Passion for data quality, automation, and building scalable systems.</li><li>
Experience working with large datasets from diverse sources.</li><li>
Ability to effectively prioritize tasks and manage time to meet deadlines.</li><li>
Strong problem-solving skills and a desire to learn and grow professionally.</li></ul><p><b>
Bonus Points</b></p><ul><li>
DevOps experience, including containerization and infrastructure-as-code.</li><li>
Understanding of cloud security, governance, and cost optimization.</li><li>
Experience building and maintaining APIs that facilitate data movement across systems.</li><li>
Experience developing and deploying ML pipelines, LLM models, and predictive analytics solutions.
</li><li>Experience working with early childhood education data.</li></ul><p><b>
Benefits</b></p><ul><li>
Be a part of a company experiencing significant growth and making a real difference.</li><li>
Work on a small, collaborative, and high-performing team.</li><li>
Make a direct impact on the company's success.</li><li>
Flexible remote work environment.</li><li>
Competitive salary and benefits package.</li></ul><p>
 <b>3Si Perks</b></p><p>
3Si offers a professional and fun work environment. We recognize and value our employees and strive to create a supportive environment for our team. Here are some of the &quot;perks&quot; we provide to ensure our employees can thrive:</p><ul><li>
Competitive compensation with base salary range of $135k - $165k, plus annual bonus plan.</li><li>
100% Company sponsored Medical, Dental, Vision, STD, EAP, and voluntary life/AD&amp;D plans.</li><li>
Paid Time Off starting at 3 weeks per year and 11 paid holidays.</li><li>
401k retirement plan + match.</li><li>
Home office stipend upon hire and annually every January thereafter.</li><li>
Career development opportunities.</li></ul><p><i>
3Si provides equal opportunity for all applicants without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, sexual orientation, veteran status, or any other basis protected by state or federal law.</i></p></div>

Senior Data Engineer

nSCALE

<p></p><div><div><div><div><div><p><b>About Nscale</b></p></div></div><div><br>
<div>
<p>Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.</p><br>
<p></p>
<p>
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.</p></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>About the Role (Job Purpose)</b></p></div></div><div><br>
<div>
<p>We're looking for a <b>Data Engineer</b> to help design, build, and operate the data foundations that underpin Nscale's platform, internal operations, and customer-facing capabilities.</p>
<p>
This is a <b>high-impact, early-stage role</b>. You'll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals &mdash; from GPUs, clusters, customers, and internal systems &mdash; into reliable, scalable data products that ensure delivery at a previously unseen pace. You'll help define <i>how data is collected, modelled, served, and trusted</i> across the company, and have the opportunity to build on Palantir Foundry, as well as other products.</p>
<p>
This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes.</p></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>What You'll be Doing (Responsibilities)</b></p></div></div><br>
<div>
<div><h4 class="jobSectionHeader"><b>Data Platform &amp; Architecture</b></h4>
<div><ul><li>Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.</li></ul></div><div><ul><li><br>
Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics.</li></ul></div><div><ul><li><br>
Clean, transform and structure the data to create a digital twin of Nscale.</li></ul></div><div><ul><li><br>
Implement permissioning and manage access and security of the Foundry implementation.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Data Products &amp; Enablement</b></h4>
<div><ul><li>Create trusted datasets and metrics that power workflows and processes, internal tools, and customer-facing insights.</li></ul></div><div><ul><li><br>
Enable self-serve analytics by establishing clear data contracts, documentation, and semantic layers.</li></ul></div><div><ul><li><br>
Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward.</li></ul></div><div><ul><li><br>
Collaborate with Product and Commercial teams to translate real-world questions into robust data solutions.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Reliability, Quality &amp; Governance</b></h4>
<div><ul><li>Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.</li></ul></div><div><ul><li><br>
Codify data lineage, freshness, and consistency across systems.</li></ul></div><div><ul><li><br>
Establish best practices around data versioning, access control, and governance appropriate for a fast-scaling company.</li></ul></div><div><ul><li><br>
Continuously improve system resilience and observability.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Early-Stage Ownership &amp; Growth</b></h4>
<div><ul><li>Take end-to-end ownership of projects, from design through to production and iteration.</li></ul></div><div><ul><li><br>
Help define standards, tooling, and ways of working for data at Nscale.</li></ul></div><div><ul><li><br>
Contribute to technical decision-making as the company scales its platform and customer base.</li></ul></div><ul><li><br>
Act as a thought partner to engineers and operators, not just a service function.</li></ul></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>About You (Skills / Qualifications)</b></p></div></div></div><br>
<div>
<div><div><ul><li>Deep, hands-on experience building in <b>Palantir Foundry</b>, including ontology modelling, pipeline development, API integration, and large-scale data platform design.</li></ul>
<ul><li>Strong proficiency in <b>Python</b>, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets.</li></ul>
<ul><li>Familiarity with <b>API-driven data integration</b>, including REST, GraphQL, and Foundry Action APIs.</li></ul>
<ul><li>Practical experience working in <b>Git-based development workflows</b>, including code reviews, version control, and CI/CD pipelines.</li></ul>
<ul><li>Comfort working in ambiguous, early-stage environments where requirements evolve quickly.</li></ul>
<ul><li>Strong communication skills &mdash; able to explain data concepts clearly to technical and non-technical stakeholders.</li></ul>
<ul><li>A bias toward ownership, pragmatism, and shipping useful solutions.</li></ul>
<p><b>
Nice to Have</b></p>
<ul><li>Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.</li></ul>
<ul><li>Familiarity with distributed systems, monitoring data, or usage-based billing data.</li></ul>
<ul><li>Experience supporting customer-facing data products or platforms.</li></ul></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>What We Can Offer You</b></p></div></div></div><br>
<div>
<div><div><p>At Nscale, you'll find a <b>collaborative, supportive, and innovative environment</b> where your contributions spark real impact. We're building something extraordinary, and we want you at the core.</p>
<ul><li>Highly <b>competitive package</b> (base + equity) with <b>reviews every 12 months</b>.</li></ul>
<ul><li>Join the <b>fastest-growing tech startup</b>, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨</li></ul>
<ul><li>Expect a <b>dynamic progression plan</b> tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.</li></ul>
<ul><li><b>Human-First Flexibility:</b> We treat you as <b>humans first</b>. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.</li></ul>
<ul><li>Join our <b>thriving remote-first team</b>. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.</li></ul></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>Interview Process</b></p></div></div><p></p><div><div><br>
<ul><li>Phone screen</li></ul>
<ul><li>Coding interviews</li></ul>
<ul><li>Hiring Manager interview</li></ul></div></div></div></div><br>
<p>
</p><p></p><div><div><div><div><p><b>Equal Opportunities Statement</b></p></div></div><div><br>
<div>
<p>We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.</p>
<p>
If there's anything we can do to accommodate your specific situation, please let us know.</p>
<p>
The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.</p></div></div></div></div><br>
<p>
</p><p></p><div><p><i>For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: </i><i>Here.</i></p></div></div>

Data Engineer - Seattle, WA

Shannon & Wilson

<div>
 Job Type
 <br/>
 <br/>
 Full-time
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Shannon &amp; Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Platform Operations &amp; Maintenance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.
  </li>
  <li>
   Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.
  </li>
  <li>
   Implement monitoring, alerting, and cost optimization strategies for the platform.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Engineering &amp; Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.
  </li>
  <li>
   Design and maintain clean, curated data models to support reporting and analytics needs.
  </li>
  <li>
   Collaborate with business analysts to ensure data structures meet business requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance &amp; Security
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Apply data governance standards for naming conventions, schema design, and access control.
  </li>
  <li>
   Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Continuous Improvement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Stay current with Microsoft&rsquo;s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).
  </li>
  <li>
   Recommend new features, automation, or process improvements to enhance reliability and usability.
  </li>
  <li>
   Partner with stakeholders to identify and implement new use cases for analytics and reporting.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field (or equivalent experience).
  </li>
  <li>
   Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).
  </li>
  <li>
   Strong SQL development skills and experience with data modeling (star/snowflake schema) required.
  </li>
  <li>
   Hands-on experience with ETL/ELT pipelines and automation scheduling required.
  </li>
  <li>
   Familiarity with cloud-based data security and access control practices.
  </li>
  <li>
   Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.
  </li>
  <li>
   Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.
  </li>
  <li>
   Python or Spark experience for data transformation preferred.
  </li>
  <li>
   Knowledge of DevOps/Git-based version control for data pipelines preferred.
  </li>
  <li>
   Strong collaboration skills &ndash; able to work with project managers, analysts, and IT staff.
  </li>
  <li>
   Excellent troubleshooting and problem-solving skills.
  </li>
  <li>
   Continuous improvement mindset with willingness to learn and adopt new technologies.
  </li>
  <li>
   Clear communication skills (both technical and business-oriented).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Level Placement
  <br/>
  <br/>
 </strong>
 Typically, depending on an applicant&rsquo;s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon &amp; Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.
 <br/>
 <br/>
 Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
 <br/>
 <br/>
 <ul>
  <li>
   Employee stock ownership
  </li>
  <li>
   Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
  </li>
  <li>
   Pre-tax health and daycare FSA
  </li>
  <li>
   Profit sharing and 401(k) plans with annual safe-harbor contributions
  </li>
  <li>
   10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)
  </li>
  <li>
   Sick leave accrues based on state requirements
  </li>
  <li>
   9 paid holidays per year + 1 personal holiday
  </li>
  <li>
   Paid volunteer day
  </li>
  <li>
   Paid time off for bereavement and jury duty
  </li>
  <li>
   Two weeks of paid parental leave
  </li>
  <li>
   Lunch &amp; Live wellness webinars and an Employee Assistance Program
  </li>
  <li>
   Mentorship Program
  </li>
  <li>
   Tuition Reimbursement
  </li>
  <li>
   Free parking
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Shannon &amp; Wilson is an Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 <strong>
  Shannon &amp; Wilson participates in the E-Verify program.
  <br/>
  <br/>
 </strong>
 <strong>
  Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.
  <br/>
  <br/>
 </strong>
 Salary Description
 <br/>
 <br/>
 $90,000 - $120,000 per year
</div>


Data Engineer

<div>
 We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
 <br/>
 <br/>
 Data Scientist, Analytics (Technical Leadership) Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Work with complex data sets to solve challenging problems using analytical and statistical approaches
  </li>
  <li>
   Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
  </li>
  <li>
   Identify and measure success through goal setting, forecasting, and monitoring key metrics
  </li>
  <li>
   Partner with cross-functional teams to inform and execute product strategy and investment decisions
  </li>
  <li>
   Build long-term vision and strategy for programs and products
  </li>
  <li>
   Collaborate with executives to define and develop data platforms and instrumentation
  </li>
  <li>
   Effectively communicate insights and recommendations to stakeholders
  </li>
  <li>
   Define success metrics, forecast changes, and set team goals
  </li>
  <li>
   Support developing roadmaps and coordinate analytics efforts across teams
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  </li>
  <li>
   Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
  </li>
  <li>
   8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  </li>
  <li>
   Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  </li>
  <li>
   Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  </li>
  <li>
   Experience communicating complex technical topics in a clear, precise, and actionable manner
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
  </li>
  <li>
   Masters or Ph.D. Degree in a quantitative field
  </li>
  <li>
   Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
  </li>
  <li>
   10+ years of experience doing complex quantitative analysis in product analytics
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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 About Meta:
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 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
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 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
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 $210,000/year to $281,000/year + bonus + equity + benefits
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 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Data Scientist, Analytics (Technical Leadership)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.<br>
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The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.<br>
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Key job responsibilities<br>
<ul><li>Data Scientist II on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics</li><li>Conceptualize and drive strategic growth areas: retention, voice + visual engagement, experimentation, Gen AI initiatives, and product excellence.</li><li>Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance</li><li>Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership</li><li>Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics</li><li>Develop structural and predictive models using data science workflows to deliver measurable customer results</li></ul><br>
A day in the life<br>
<ul><li>Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders</li><li>Conduct experimentation, build causal models to better understand key drivers for customer retention
</li><li>Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces</li><li>Partner with product managers to translate business questions into actionable science projects</li><li>Influence product roadmaps through data-driven insights on customer behavior patterns</li><li>Identify and resolve customer experience friction points with cross-functional teams</li><li>Drive adoption of best practices and innovative solutions across the organization</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, Amazon Music - DISCO

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