analyst - business intelligence

associate data scientist Jobs in Los Angeles

associate data scientist

associate, data & analytics Jobs in Los Angeles

associate, data & analytics

business intelligence (bi) developer Jobs in Los Angeles

business intelligence (bi) developer

data analyst (central analytics) Jobs in Los Angeles

data analyst (central analytics)

data scientist

Jerry

<div><div><div>Why We Exist</div>
Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey &mdash; buy/sell, insurance, maintenance, repairs &mdash; is fragmented, complicated, and expensive.<div></div> 
Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace.<div> 
</div>We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets.<div></div> 
Why We&rsquo;re Hiring
Our Data Science &amp; Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data &amp; insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations.<div></div> 
Every business unit has a Data Science team member embedded within it &mdash; someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years.<div> 
</div>As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas:<ul><li><div>
Growth Marketing
</div></li><li><div>Product Development</div></li><li><div>
AI &amp; Automation</div></li><li><div>
Strategic Partnerships</div></li></ul><div> 
</div>On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling.<div></div> 
Why You Will (Or Won't) Like Working Here<ul><li><div>
No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business &mdash; an important product, a new growth channel, a key metric, a critical partner relationship, etc.
</div></li><li><div>No corporate fluff: The Data Science &amp; Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals.
</div></li><li><div>Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end.</div></li></ul><div> 
</div>What You'll Own
You'll sit on our central Data Science &amp; Analytics team but you&rsquo;ll be embedded in one of Jerry's core business areas &mdash; growth, product, AI and automation, strategic partnerships &mdash; and own the analytical function for that business unit end-to-end.<ul><li><div>
Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed.</div></li><li><div>
Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.</div></li><li><div>
Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.</div></li></ul><div></div> 
Who You Are<ul><li><div>
First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask &quot;what are we trying to solve here?&quot; before jumping to &quot;what should I build?&quot;
</div></li><li><div>Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede.</div></li><li><div>
Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it&rsquo;s outside of your swim lane.</div></li></ul><div></div> 
What You'll Bring<ul><li><div>
1+ years of experience at a consulting firm, investment bank, or high-growth technology company.</div></li><li><div>
Strong analytical skills; ability to pull, structure, and interpret data independently.</div></li><li><div>
Track record of owning ambiguous problems and delivering impact.</div></li><li><div>
Clear, persuasive communicator who can influence decisions at the leadership level.</div></li></ul><div></div> 
Our Tools
SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub.<div></div> 
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai
The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.
About Jerry.ai
Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.</div></div>

Associate Data Scientist

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 
 
 The Production Finance Operations &amp; Innovation (O&amp;I) team is seeking a Data Analyst to support the Production Finance team and cross-functional partners on various data projects. O&amp;I facilitates informed decision-making by providing analysis to stakeholders, including senior leadership and other departments. The role frequently involves quick-turnaround ad hoc reports, as well as long-term analyses, strategic thinking, and stakeholder management.
 
 
 The ideal candidate possesses strong data skills and a passion for innovation, with an interest in Production Finance or the Entertainment industry generally. This position demands the ability to succeed in a highly collaborative, fast-paced setting, a passion for data work, and the ability to learn quickly.
 
 
 
 Responsibilities
 
 
 
 Data Extraction &amp; Transformation: Extract, clean, and transform data from core systems, including the Global Spend Report data model, Payroll Accounting Systems, and the Netflix Production Finance HUB. Aggregate and correlate data to accurately report on job counts, vendor spend, and location spend across global markets.
 
 
 Cross-Functional Collaboration: Work closely with stakeholders, including Production Finance, Public Relations &amp; Government Relations, Finance &amp; Strategy, Data Science &amp; Engineering, and Studio Tech Solutions. Act as a proactive thought partner, translating complex business needs into actionable data solutions.
 
 
 Ad Hoc &amp; Strategic Analysis: Engage in both rapid-turnaround ad hoc analyses (e.g., show-level spend, vendor breakdowns, cast and crew location analytics) and longer-term strategic projects (e.g., trend analysis, workflow optimization). Provide actionable insights and clear reporting to support decision-making.
 
 
 Technical Development &amp; Workflow Improvement: Develop expertise in the existing data models, identify data inconsistencies, and recommend improvements to data collection and validation processes. Explore and utilize data tables owned by adjacent business partners to enhance data coverage and integration.
 
 
 Data Visualization &amp; Reporting: Analyze structured datasets to develop metrics, dashboards, and trend reports using data visualization tools such as Google Sheets, Looker, Tableau, or similar platforms. Present insights in a clear, accessible manner to both technical and non-technical stakeholders.
 
 
 System &amp; Tool Experimentation: Proactively engage in self-training and experimentation with new tools and technologies to improve analytics workflows and drive innovation.
 
 
 Production Finance Team Support: Guide Production Finance executives on data access, analysis, and reporting. Respond to requests for data pulls, insights, and custom analyses as needed.
 
 
 Data Quality &amp; Issue Resolution: Monitor data integrity and troubleshoot urgent issues affecting data coverage or quality, ensuring the highest standards of accuracy and completeness.
 
 
 Documentation &amp; Knowledge Sharing: Maintain clear documentation of data processes, workflows, and system configurations. Share best practices and learnings with the broader team to foster continuous improvement.
 
 
 
 Qualifications
 
 
 
 Education &amp; Experience:
 
 
 <ul>
 <li>
 A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar)
 </li>
 <li>
 5+ years of experience in data science, analytics engineering, or a similar data field.
 </li>
 <li>
 Experience in Production Finance, Production Accounting, or other Entertainment Industry areas preferred
 </li>
 <li>
 Ability to collaborate with various teams and stakeholders, work with business end-users to understand data and analysis needs.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Advanced SQL proficiency and database infrastructure knowledge required
 </li>
 <li>
 Advanced G Sheets proficiency required
 </li>
 <li>
 Experience with Python/R or other statistical programming languages is required
 </li>
 <li>
 Excellent data analysis and visualization skills
 </li>
 <li>
 Familiarity with Business Intelligence tools such as Looker, Tableau, or similar platforms
 </li>
 <li>
 Working knowledge of database concepts and data pipelines
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Strong interpersonal skills, with the ability to build relationships with key stakeholders
 </li>
 <li>
 Ability to communicate effectively with global teams
 </li>
 <li>
 Ability to show flexibility in re-prioritizing as situations arise throughout the day
 </li>
 <li>
 Detail-oriented but also interested in understanding the bigger picture
 
 
 </li>
 </ul>
 
 Other Attributes
 
 
 
 <ul>
 <li>
 Must thrive in a fast-paced and collaborative team environment
 </li>
 <li>
 Flexible and open to different perspectives
 </li>
 <li>
 Curious, with a focus on generating results
 </li>
 <li>
 Must be self-motivated, disciplined, highly organized, and able to prioritize tasks
 </li>
 <li>
 Exhibit the highest personal and professional standards of integrity and ethics.
 </li>
 <li>
 Passion for innovation
 
 
 </li>
 </ul>
 Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000.00 - $230,000.00.
 
 
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 
 
 Netflix is a unique culture and environment. Learn more here.
 
 
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 
 
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</div>

Data Analyst, Production Finance Operations & Innovation

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 
 
 As our newest
 
 Data Engineer
 
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
 
 
 </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
 </li>
 <li>
 Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
 </li>
 <li>
 Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
 
 
 </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $180,000/year to $260,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer

Hadrian

<div>
 
 Hadrian - Manufacturing the Future
 
 
 
 Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
 
 
 We&rsquo;re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
 
 
 Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
 
 
 
 The Role
 
 
 
 As a Data Analyst, you will own the analytical foundation that the entire company runs on. Reporting to the Sr. Director of Data &amp; IT, you will define what "certified data" means at Hadrian, build the forecasting models that drive planning decisions, and set the standards that let analytics scale across 20+ autonomous factories. This role sits at the intersection of every business function&mdash;Finance, Manufacturing Ops, Production Planning, Quality Engineering, and Sales&mdash;connecting financial models to factory floor reality.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Architect and maintain the certified dataset layer in dbt&mdash;models, tests, documentation, and SLAs that the entire company trusts
 </li>
 <li>
 Build forecasting models for demand planning, capacity utilization, delivery risk, and financial projections
 </li>
 <li>
 Define metric standards: canonical definitions, calculation logic, ownership, and refresh cadence
 </li>
 <li>
 Perform cross-functional deep dives connecting financial and operational data (e.g., margin erosion vs. throughput changes)
 </li>
 <li>
 Build scalable reporting frameworks that work at 1 factory and 20
 </li>
 <li>
 Develop anomaly detection for manufacturing KPIs&mdash;surface problems before ops does
 </li>
 <li>
 Present findings to executives, ops leaders, and finance with appropriate precision
 </li>
 <li>
 Mentor BizOps analysts and junior team members on SQL, statistics, and communication
 </li>
 <li>
 Partner with Data Engineering on pipeline architecture, data contracts, and quality SLAs
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Expert SQL including complex window functions, recursive CTEs, query plan analysis, and cost-based optimization
 </li>
 <li>
 Deep dbt knowledge including advanced macros, custom tests, package development, and CI/CD integration
 </li>
 <li>
 Experience with Snowflake and/or ClickHouse at scale
 </li>
 <li>
 Python proficiency (pandas, numpy, scipy, statsmodels)
 </li>
 <li>
 Statistical rigor: hypothesis testing, regression, time series, and experimental design
 </li>
 <li>
 Ability to build, validate, and communicate forecast models with proper uncertainty quantification
 </li>
 <li>
 Strong cross-functional communication&mdash;can translate between data and business with any audience
 </li>
 <li>
 Bachelor's or Master's in Statistics, Mathematics, Operations Research, Economics, or equivalent
 </li>
 <li>
 P3: 2&ndash;4 years | P4: 4&ndash;7 years | P5: 7+ years in analytics, data science, or quantitative roles
 
 
 </li>
 </ul>
 
 What Will Set You Apart
 
 
 
 <ul>
 <li>
 Experience building metric layers (Transform, MetricFlow, or custom)
 </li>
 <li>
 ClickHouse optimization (materialized views, projections, TTL)
 </li>
 <li>
 Bayesian methods or causal inference experience
 </li>
 <li>
 Manufacturing-specific knowledge: SPC, control charts, process capability
 </li>
 <li>
 Orchestration experience (Dagster, Airflow)
 </li>
 <li>
 Background in OR, industrial engineering, logistics, supply chain, or quantitative finance
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 For this role, the target salary range is $140,000-$175,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
 
 
 
 Benefits For Full-time Employees
 
 
 
 <ul>
 <li>
 Medical, dental, vision, and life insurance plans for employees
 </li>
 <li>
 401k
 </li>
 <li>
 Relocation support may be provided for certain situations, based on business need.
 </li>
 <li>
 Flexible vacation policy
 
 
 </li>
 </ul>
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 
 
 
 Hadrian Is An Equal Opportunity Employer
 
 
 
 It is the Company&rsquo;s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
</div>

Data Analyst (Central Analytics)

Motorola Solutions

<div><h2 class="jobSectionHeader">Company Overview
</h2>At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that&rsquo;s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. 
<h2 class="jobSectionHeader"> 
Department Overview
</h2>Silvus Technologies is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide vital communications for mission-critical applications in the harshest environments from underground tunnels to high-altitude balloons.
 
 
Silvus StreamCaster&trade; radios are being rapidly adopted by customers all over the world ranging from the U.S. and Allied Nations Departments of Defense to International, Federal, State, and Local Law Enforcement agencies, all the way to the Superbowl, Grammys, and industry-leading drone, robot, and unmanned systems manufacturers.
 
 
We&rsquo;re excited about the work we are doing in AI. Founded on our many years of experience and knowledge, we know the mission-critical needs of our customers are unique and different from the consumer technologies that leverage AI today.
 
 
Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.
<h2 class="jobSectionHeader"> 
Job Description
</h2>Would you like to join a talented group of people, doing challenging work, with the mission of &ldquo;Keeping Our Heroes Connected&rdquo;?
You will join the Signals and Systems group where you will be developing machine learning solutions that enhance performance in wireless communication systems. Your work will directly impact our customers in the form of products and services that make use of signal processing technology. Unlike similar roles in the industry, the result of your work has the potential to impact the entire lifecycle of the workflows impacting people's lives in moments that matter.
<h2 class="jobSectionHeader">Roles and Responsibilities
</h2><ul><li>Manage inputs gathered from unusual sources, including captures from software defined radio (SDR) over a wide range of RF signals
</li><li>Combine knowledge of signal processing, probability and statistics, machine learning, and modern methods of artificial intelligence to build large-scale and high-throughput systems handling vast quantities of data
</li><li>Collaborate with UX designers, infrastructure engineers, and other research scientists to develop prototypes and integrate ML algorithms that work across a wide range of scales from resource-constrained edge compute to full-sized data centers
</li><li>Stay current with the latest machine learning research for wireless and embedded systems, applying ingenuity and a deep understanding of the problems at hand
</li></ul><h2 class="jobSectionHeader">Required Skills
</h2><ul><li>6+ years experience as a machine learning engineer
</li></ul><ul><li>Expert knowledge in Python and PyTorch or TensorFlow
</li><li>Strong foundation in supervised and unsupervised learning and statistical modeling
</li><li>Strong mathematics background, particularly in linear algebra and probability
</li><li>Strong written and oral communication skills
</li></ul><h2 class="jobSectionHeader">Desired Skills
</h2><ul><li>Advanced degree in a quantitative field such as electrical and computer engineering, physics, mathematics or statistics
</li><li>Familiarity with relational and NoSQL databases
</li><li>Familiarity with RF signal processing and SDR for signals intelligence or electronic warfare
</li><li>Familiarity with cloud-based infrastructure: Azure and/or AWS
</li><li>Experience tracking projects with Jira, Azure DevOps or similar tooling
</li><li>Experience with Linux, DevOps (command line)
</li><li>Experience with containerized infrastructure (Docker, Kubernetes)
</li><li>Familiarity with regulated environments, such as sovereign clouds
</li></ul>Target Base Salary Range: $195,000 USD - $225,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. 
 
As a part of the application process, we encourage you to include a link to code you&rsquo;ve written.
 
 
Note: This role is 100% on-site in our Los Angeles office. 
 
#LI-MP2
 
#LI-ONSITE 
<h2 class="jobSectionHeader"> 
Basic Requirements
</h2><ul><li>Bachelor degree with 8+ years experience as a machine learning engineer
</li><li>AND 6+ years of Python and PyTorch or TensorFlow experience
</li><li>Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract. 
</li></ul><h2 class="jobSectionHeader"> 
Travel Requirements
</h2>None
<h2 class="jobSectionHeader"> 
Relocation Provided
</h2>None
<h2 class="jobSectionHeader"> 
Position Type
</h2>Experienced
<h2 class="jobSectionHeader"> 
Referral Payment Plan
</h2>No
Our U.S. Benefits include:
<ul><li>Incentive Bonus Plans
</li><li>Medical, Dental, Vision benefits
</li><li>401K with Company Match
</li><li>10 Paid Holidays
</li><li>Generous Paid Time Off Packages
</li><li>Employee Stock Purchase Plan
</li><li>Paid Parental &amp; Family Leave
</li><li>and more! 
</li></ul> 
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.
We&rsquo;re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.</div>

Senior Machine Learning Engineer

Los Alamos National Laboratory

<div>
 
 What You Will Do
 
 
 
 The Sigma Division at Los Alamos National Laboratory is seeking a Research and Development Scientist to join our Welding and Joining team-a dynamic group at the forefront of advanced manufacturing and materials science.
 
 
 In this role, you will contribute to cutting-edge research and development in high energy density welding, arc welding, brazing, and solid-state joining technologies that support critical national security and scientific missions. You'll work on complex, real-world challenges ranging from weld distortion and residual stress to process optimization, leveraging both experimental and computational modeling approaches.
 
 
 We are looking for a scientist with a strong foundation in solidification metallurgy and a passion for applying scientific and engineering principles to develop innovative, practical solutions. This position offers the opportunity to lead impactful R&amp;D efforts, support production across the NNSA complex, and drive improvements in welding and joining processes.
 
 
 You will collaborate with a wide range of partners, including internal programs in weapons, alternative energy, and global security, as well as external collaborators across universities, industry, and other national laboratories. This is a highly visible role with opportunities to influence both research direction and mission outcomes.
 
 
 Sigma Division specializes in manufacturing science and metallurgical processes, supporting experimental programs at Los Alamos. The Welding &amp; Joining team works closely with other technical groups to solve complex manufacturing challenges and deliver high-quality prototype and limited production components. Our work spans a broad range of materials-from hydrogen to uranium-and includes both unclassified and classified efforts.
 
 
 The successful candidate will be expected to develop and lead multiple research projects, communicate results to diverse stakeholders, and play a key role in securing funding through proposals and work packages. This is an excellent opportunity for a motivated scientist to grow into a technical leader while contributing to nationally significant work.
 
 
 
 
 
 What You Need
 
 
 
 
 
 Minimum Job Requirements:
 
 
 
 
 <ul>
 <li>
 Demonstrated expertise in solidification metallurgy, with the ability to serve as a technical lead in this area.
 </li>
 <li>
 Proven experience leading research and development activities in one or more of the following: high energy density welding, vacuum furnace or induction brazing, and semi-automatic or manual arc welding.
 </li>
 <li>
 Demonstrated ability to lead or significantly contribute to proposal development efforts, particularly for innovative welding solutions addressing complex technical challenges.
 </li>
 <li>
 Experience working in integrated, cross-disciplinary teams to design, develop, and fabricate experimental assemblies aligned with customer or programmatic needs.
 </li>
 <li>
 Strong record of technical writing, including authorship or significant contribution to peer-reviewed publications.
 </li>
 <li>
 Experience mentoring junior staff, postdoctoral researchers, or students in research and/or manufacturing environments.
 </li>
 <li>
 Demonstrated commitment to safety and security, including maintaining required training and integrating safety and security practices into all work activities.
 
 
 </li>
 </ul>
 
 Education/Experience:
 
 
 
 Positions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation.
 
 
 
 Desired Qualifications:
 
 
 
 <ul>
 <li>
 Active Q Level clearance
 </li>
 <li>
 Experience in any of the following areas: arc welding (gas tungsten or gas metal arc welding), brazing, solid state welding, other welding/joining methods, is desired, but not required.
 </li>
 <li>
 Experience with weld evaluation including destructive testing and mechanical testing.
 </li>
 <li>
 Familiarity with non-destructive testing, visual inspection, and metallurgical characterization techniques.
 
 
 </li>
 </ul>
 
 Work Location:
 
 The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
 
 
 
 Position commitment:
 
 Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
 
 
 
 Note to Applicants:
 
 
 
 Please provide a detailed cover letter outlining specific examples of how you meet all the minimum job requirements and any desired qualifications.
 
 
 Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
 
 
 
 Where You Will Work
 
 
 
 Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
 
 
 <ul>
 <li>
 PPO or High Deductible medical insurance with the same large nationwide network
 </li>
 <li>
 Dental and vision insurance
 </li>
 <li>
 Free basic life and disability insurance
 </li>
 <li>
 Paid childbirth and parental leave
 </li>
 <li>
 Award-winning 401(k) (6% matching plus 3.5% annually)
 </li>
 <li>
 Learning opportunities and tuition assistance
 </li>
 <li>
 Flexible schedules and time off (PTO and holidays)
 </li>
 <li>
 Onsite gyms and wellness programs
 </li>
 <li>
 Extensive relocation packages (outside a 50 mile radius)
 
 
 </li>
 </ul>
 
 Additional Details
 
 
 
 
 Directive 206.2
 
 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
 
 
 
 Clearance: Q
 
 (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
 
 
 <ul>
 <li>
 Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
 
 
 </li>
 </ul>
 
 New-Employment Drug Test:
 
 The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
 
 
 
 Equal Opportunity:
 
 Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
</div>

Welding/Brazing (R&D Scientist 2)

Metropolis Technologies

<div>
 
 Who We Are
 
 
 
 The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.
 
 
 
 Who You Are
 
 
 
 As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
 </li>
 <li>
 Design and own data architecture for large-scale projects while managing operational trade-offs
 </li>
 <li>
 Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
 </li>
 <li>
 Define and manage Service Level Agreements (SLAs) for all owned data sets
 </li>
 <li>
 Implement data security models, ensure privacy compliance, and evolve data governance processes
 </li>
 <li>
 Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
 </li>
 <li>
 Maintain production processes by optimizing complex code using advanced algorithmic concepts
 </li>
 <li>
 Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
 </li>
 <li>
 Mentor team members through actionable feedback to foster collective skill growth
 </li>
 <li>
 Maintain flexibility with availability during evening hours
 
 
 </li>
 </ul>
 
 What we're looking for
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
 </li>
 <li>
 master's degree is preferred
 </li>
 <li>
 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
 </li>
 <li>
 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
 </li>
 <li>
 Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
 </li>
 <li>
 Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
 </li>
 <li>
 Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
 </li>
 <li>
 Ability to deliver high standards of code quality, system reliability, and performance
 </li>
 <li>
 Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
 </li>
 <li>
 Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
 
 
 </li>
 </ul>
 
 While not required, these are a plus:
 
 
 
 <ul>
 <li>
 Experience with Spark and PySpark
 </li>
 <li>
 Master's degree in Computer Science, Computer Engineering, or a relevant technical field
 
 
 </li>
 </ul>
 
 4 Days in Office:
 
 Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
 
 
 
 When you join Metropolis, you&rsquo;ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis&rsquo;s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.
 
 
 
 
 Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate&rsquo;s application relative to the required job qualifications and responsibilities listed in the job posting.
 
 
 
 
 As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
 
 
 
 
 Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
 
 
 
</div>

Senior Data Engineer

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