analyst - business intelligence

business intelligence (bi) developer Jobs in Los Angeles

business intelligence (bi) developer

data & cloud solutions engineer (m.s. or ph.d.) Jobs in Los Angeles

data analyst

data scientist

data engineer

Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  💻 Role
  <br/>
  <br/>
 </strong>
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 <br/>
 <br/>
 As our newest
 <strong>
  Data Engineer
 </strong>
 , 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.
 <br/>
 <br/>
 <strong>
  On Any Given Day, You Will
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  👋 You
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  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.
  <br/>
  <br/>
 </strong>
 <strong>
  💰Compensation
  <br/>
  <br/>
 </strong>
 <strong>
  For Full-Time (Salary)
  <br/>
  <br/>
 </strong>
 <strong>
  US based applicants:
 </strong>
 $180,000/year to $260,000/year + benefits + equity.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  🎁 Benefits
  <br/>
  <br/>
 </strong>
 <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>
 <strong>
  <strong>
   💛 EOE
   <br/>
   <br/>
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 Compensation Range: $180K - $260K
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 <br/>
</div>


Data Engineer

Exponent

<div><h2 class="jobSectionHeader"><b>About Exponent
</b></h2><div><div><div><div><b>Exponent</b> is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients&rsquo; most profoundly unique, unprecedented, and urgent challenges.</div><div></div><div><br>
Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.</div><div></div><div><br>
Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you&rsquo;ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team!</div><div></div><div><b><br>
Key statistics:</b></div><ul><li>
950+ Consultants</li><li>
640+ Ph.D.s</li><li>
90+ Disciplines</li><li>
30+ Offices globally</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Our Opportunity
</b></h2><div><div><div><div>We are currently seeking a<b> Data &amp; Cloud Solutions Engineer </b>for our <b>Data Sciences</b> Practice in our <b>Los Angeles, CA</b> office. In this role, your primary work will revolve around helping Exponent&rsquo;s team rapidly implement and iterate algorithms, analyses, and visualizations to support clients in the consumer electronics, utilities, and life sciences.</div>
</div></div></div><h2 class="jobSectionHeader"><b>You will be responsible for
</b></h2><div><div><div><ul><li>Delivering highly technical consulting in software development, data engineering, data science, and DevOps by designing, automating, deploying, and maintaining robust, scalable data solutions to support client business objectives</li><li>
Leading or collaborating on all phases of the client engagement lifecycle, including identifying client needs, framing and scoping business problems, developing project and sprint plans, building and deploying analytics solutions, and translating insights into actionable recommendations</li><li>
Developing cloud-based architectures, automating deployment pipelines and CI/CD workflows, and implementing best practices in system reliability, monitoring, and security</li><li>
Advising clients on both technical and strategic business solutions, identifying new technology-driven opportunities, and helping clients plan scalable, sustainable, and efficient systems</li><li>
Supporting business development by proactively building relationships with clients, identifying new project opportunities, and helping craft and execute business and technical solutions, either independently or collaboratively with firm leadership</li><li>
Creating clear, impactful data visualizations and dashboards, and communicating results to both technical and non-technical stakeholders</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>You will have the following skills and qualifications
</b></h2><div><div><div><ul><li>Advanced degree (Ph.D. or M.S.) in Statistics, Computer Science, Engineering, or closely related scientific/technical field</li><li>
Expertise spanning several domains, including:</li><ul><li>
Software development using modern engineering best practices, ideally with hands-on DevOps and/or Agile team leadership experience</li><li>
Data engineering (ETL, workflow/pipeline automation), data science (machine learning, analytics), and DevOps (automation, cloud infrastructure, CI/CD, system monitoring)</li><li>
Experience designing, deploying, and maintaining data-intensive applications in cloud or hybrid environments (AWS, Azure, Google Cloud, etc.)</li></ul><li><b>
Proficiency with at least two of the following:</b> Python, R, C++, SQL, or Linux (RH 7+), plus experience developing across diverse platforms (desktop, web, cloud, or embedded)</li><li>
Experience with visualization/dashboard tools, such as Tableau, Power BI, or custom web solutions</li><li>
Strong communication skills, with a demonstrated ability to translate complex technical, scientific, and business concepts for diverse audiences</li><li>
Business acumen and entrepreneurial mindset with a track record of identifying value for clients, framing business plans, and driving business development</li><li>
Strong project management and organizational skills; ability to thrive independently and as a collaborative team member in fast-paced, multidisciplinary settings</li><li>
Presently legally authorized to work in the United States; no immigration sponsorship or processing required</li></ul><div></div><div><i><br>
Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].</i></div>
</div></div></div><h2 class="jobSectionHeader"><b>Life @ Exponent
</b></h2><div><div><div><div>To learn more about life at Exponent and our impact, please visit the following links:<br>
https://www.exponent.com/careers/life-exponent
<br>
https://www.exponent.com/company/our-impact</div><div></div><div><br>
Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.</div><div></div><div><br>
Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Work Environment
</b></h2><div><div><div><div>At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.</div><div><br>
</div><div>We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite</div>
</div></div></div><h2 class="jobSectionHeader"><b>Compensation
</b></h2><div><div><div><div>Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.</div><div></div><div><br>
The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Salary Range
</b></h2><div><div><div>USD $133,000.00 - USD $145,000.00 /Yr.
</div></div></div><h2 class="jobSectionHeader"><b>Benefits you will enjoy
</b></h2><div><div><div><div><div>Access benefits information on our Life@Exponent page:</div></div><div><div>
https://www.exponent.com/careers/life-exponent</div></div><div></div><div><div><br>
Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.</div></div><div></div><div><div><br>
If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com.</div><div></div><div><br>
</div></div></div></div></div><div></div><h2 class="jobSectionHeader"><b>Job Locations
</b></h2><div><div><div>US-CA-Los Angeles</div></div></div></div>

Data & Cloud Solutions Engineer (M.S. or Ph.D.)

Atticus

<div>
 <strong>
  About Atticus
  <br/>
  <br/>
 </strong>
 At any given time, 16 million Americans are experiencing a crisis that requires urgent help from our legal system or government. The right assistance could transform their lives. But today, most never get it.
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 <br/>
 Atticus makes it easy for any sick or injured person in crisis to get the life-changing aid they deserve. In the last six years, we&rsquo;ve become the leading platform connecting people with disabilities to government benefits. We also help victims of accidents, misconduct, and violence get compensation from insurance.
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 <br/>
 So far, we&rsquo;ve helped hundreds of thousands of people access over $10B in life-changing aid &mdash;and earned over 17,000+ five-star reviews. And we&rsquo;re just getting started.
 <br/>
 <br/>
 We've raised more than $100 million from top VC firms like Fika, Forerunner, GV (Google Ventures), and True Ventures, with ambitions to create a category defining business assisting needy Americans. (We closed our Series C round in April 2025, so we're well-funded for the foreseeable future.) In 2025, our team grew from 151 to 210, and we will grow again in 2026.
 <br/>
 <br/>
 <strong>
  The Job
  <br/>
  <br/>
 </strong>
 Our business generates a wealth of data with untapped potential to support people in need of aid, and improve their likelihood of positive outcomes in the legal system. Our platform covers a lot: evaluating a client&rsquo;s case, giving advice, matching them with the right lawyer, formalizing the arrangement, and helping both parties work together as the case progresses. The data we generate across this end-to-end journey provides a unique opportunity to improve client experiences at a national scale for the legal practice areas we support, using novel data unavailable to other industry actors (individual law firms, government agencies).
 <br/>
 <br/>
 We are looking for Data Scientists to join our team and leverage this data to fulfill our mission. You&rsquo;ll help establish the central Data Science team and embed closely with departments within Atticus to help us better apply data across all areas of our platform.
 <br/>
 <br/>
 Serve as a founding member of the company&rsquo;s data science function, building a culture of collaboration, growth, and excellence that will attract talent for years to come
 <br/>
 <br/>
 <ul>
  <li>
   Design metrics, build data pipelines, run experiments, launch models &ndash; apply a broad toolkit to expansive data from a rapidly growing business
  </li>
  <li>
   Work closely with department leads and their teams to ensure our decision-making and operations are data-informed
  </li>
  <li>
   Interpret data as the collective voice of our clients, generating insights that inform our product roadmap and user experience
  </li>
  <li>
   Hold teams accountable to measurable impact, enabling them to identify and target their most effective levers to improve the business
   <br/>
   <br/>
  </li>
 </ul>
 The role is a rare opportunity to join a fast-growing Series B startup that doubles as a B-corp social enterprise. Every project you take on will help clients in need get the help they deserve, and you&rsquo;ll shape our company culture as we scale. We&rsquo;re looking for data scientists who are excited about our mission and the challenges it entails.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Required:
 <br/>
 <br/>
 <ul>
  <li>
   You have 4+ years of relevant industry experience at a high-growth startup, or scrappy team at a larger company
  </li>
  <li>
   You&rsquo;re eager to jump in and serve as the primary data thought partner for a cross-functional team working on a novel and quickly evolving problem space
  </li>
  <li>
   You&rsquo;re excited about providing &ldquo;full-stack&rdquo; data support covering metric &amp; data model design, exploratory analysis, testing &amp; experimentation, and predictive modeling
  </li>
  <li>
   You&rsquo;re fluent in SQL, and have substantial professional experience with Python or R
  </li>
  <li>
   You&rsquo;ve built key metrics, reporting, and models from scratch for a product or business domain
  </li>
  <li>
   You&rsquo;ve leveraged A/B testing or causal inference methods to help teams identify and target their most effective levers
   <br/>
   <br/>
  </li>
 </ul>
 Bonus / Nice-to-Have:
 <br/>
 <br/>
 <ul>
  <li>
   You have experience working on a two-sided marketplace
  </li>
  <li>
   You have experience with non-experimental causal inference methods
  </li>
  <li>
   You&rsquo;ve shipped and maintained model code in a production environment
   <br/>
   <br/>
  </li>
 </ul>
 We are strongly committed to building a diverse team. If you&rsquo;re from a background that&rsquo;s underrepresented in tech, we&rsquo;d love to meet you.
 <br/>
 <br/>
 <strong>
  Salary And Benefits
  <br/>
  <br/>
 </strong>
 This is a rare opportunity to join a startup that has strong traction (substantial funding, well-respected backers, tremendous growth, and many happy customers) but is still small enough that you can have a huge impact and play a role in shaping our culture.
 <br/>
 <br/>
 We&rsquo;re a certified B Corporation tackling a critical social problem. Our mission to help people in need drives everything we do, and your work here will touch many lives.
 <br/>
 <br/>
 We offer competitive pay &mdash; including equity &mdash; and generous benefits:
 <br/>
 <br/>
 <ul>
  <li>
   Medical and dental insurance with 100% of employee premiums covered
  </li>
  <li>
   15 vacation days &amp; ~20 paid holidays each year (including two weeks at end-of-year)
  </li>
  <li>
   Free membership to OneMedical
  </li>
  <li>
   $600/year reimbursable stipend for internet service
  </li>
  <li>
   $1,000 reimbursable stipend for education and training outside of work
  </li>
  <li>
   Up to $1,200/year student loan repayment assistance
  </li>
  <li>
   401(k) and optional HSA/FSA
  </li>
  <li>
   Humble, thoughtful, smart, fun colleagues
   <br/>
   <br/>
  </li>
 </ul>
 We anticipate the base salary band for this role will be between $150,000 and $200,000 in addition to equity and benefits. The salary at offer will be determined by a number of factors such as candidate&rsquo;s experience, knowledge, skills and abilities, as well as internal equity among our team.
 <br/>
 <br/>
 <strong>
  Location
  <br/>
  <br/>
 </strong>
 This job is fully remote and we&rsquo;re committed to empowering everyone with flexibility. Work remotely, and travel to LA (on the company dime) as needed to be with your colleagues &ndash; usually quarterly, plus offsites. We care a lot about building a great culture and we think some interactions need to happen in person, so we put a lot of thought into retreats, offsites, and other ways to gather.
 <br/>
 <br/>
</div>


Data Scientist

TikTok

Data analysis
<br><br>
Data Scientist - Platform Infrastructure
<br><br>
Location
<br>:
<br><br>
Los Angeles
<br><br>
Employment Type
<br>:
<br><br>
Regular
<br><br>
Job Code
<br>:
<br><br>
A47343
<br><br>
Responsibilities
<br><br>
About the Team
<br>The Global Brand Data Science team, part of Global Brand Insights & Analytics, is a critical business partner to Global Brand & Communications. We bridge technical rigor with business strategy, delivering data science solutions that drive marketing efficiency and impact. Our team is responsible for marketing revenue modeling, campaign measurement, and deep-dive analyses to uncover market opportunities. We focus on building, expanding, and automating data science capabilities, influencing top-line budget allocation and shaping strategy.
<br><br>
<b>The team covers 3 key focus areas:</b> In-app strategy & measurement, infrastructure development, and ROI Modeling. Within in-app strategy & measurement, we lead the development of measurement and prioritization frameworks, in-app campaign strategy and reporting, user cohort design (including the application of machine learning models), BLS/CLS analysis, and deep-dive insights. In our infrastructure workstreams, we build connections between internal data tools, and ingest and transform datasets to unlock new measurement and research capabilities, operationalize key processes, and democratize access to data & insights.
<br><br>
Responsibilities
<br>1. Scale the marketing measurement data platform, building reliable, scalable, and unified data infrastructure to support global campaign experimentation and measurement.
<br>2. Design, build, and manage end-to-end ETL pipelines, transforming raw ads, creative, and user interaction data into high-quality, analysis-ready datasets.
<br>3. Develop and maintain core data models and analytical schemas, including standardized tables, derived metrics, and reusable data assets to enable consistent measurement and self-serve analytics.
<br>4. Establish robust tracking and data linkage foundations, including exposure tracking logic, identity resolution, and URL parameter frameworks to connect marketing touchpoints with downstream user outcomes.
<br>5. Develop data infrastructure governance and resource management, including managing HDFS/YARN queues, optimizing resource allocation, and ensuring efficient and stable usage across the data science team.
<br>6. Ensure data quality, reliability, and scalability across systems, implementing validation, monitoring, and governance mechanisms for critical pipelines and datasets.
<br>7. Build and maintain internal data tools, dashboards, and data services to improve efficiency, enable cross-functional alignment, and reduce manual effort across teams.
<br>8. Partner with cross-functional stakeholders (marketing, product, research, engineering) to align on data definitions, system integration, and platform capabilities.
<br><br>
Qualifications
<br><br>
Minimum Qualifications
<br>1. Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
<br>2. 3+ years in data science roles within business strategy, marketing, finance, engineering, or analytics organizations.
<br>3. Strong expertise in hypothesis testing, A/B testing methodologies.
<br>4. Proficiency in SQL and Python or R for data analysis and pipeline development.
<br>5. Experience designing, maintaining, and optimizing reporting dashboards and data pipelines.
<br>6. Experience working with non-technical stakeholders, translating data findings into strategic recommendations.
<br><br>
Preferred Qualifications
<br>1. Experience applying scalable analytics solutions in a marketing or growth-related environment.
<br>2. Familiarity with advanced marketing measurement techniques, such as attribution modeling, incrementality testing, and meta-analysis.
<br>3. Experience working with cross-functional teams, including engineering and product teams, to develop automated solutions.
<br>4. Strong communication and presentation skills, with the ability to influence decision-making.
<br>5. Proven ability to analyze metric movements, identify drivers, and derive insights.
<br><br>
Job Information
<br><br>
【For Pay Transparency】Compensation Description (Annually)
<br><br>
The base salary range for this position in the selected city is $170240 - $277970 annually.
<br><br>
​
<br><br>
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
<br><br>
​
<br><br>
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
<br><br>
​
<br><br>
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
<br><br>
​
<br><br>
<b>For Los Angeles County (unincorporated) Candidates:</b><br>
​
<br><br>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
<br><br>
​
<br><br>
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
<br><br>
​
<br><br>
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
<br><br>
​
<br><br>
3. Exercising sound judgment.
<br><br>
​
<br><br>
About TikTok
<br><br>
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
<br><br>
​
<br><br>
Why Join Us
<br><br>
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
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We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
<br><br>
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<br><br>
Diversity & Inclusion
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<br><br>
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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TikTok Accommodation
<br><br>
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
<br><br>
https://tinyurl.com/RA-request

Data Scientist - Platform Infrastructure

Palm Tree

<div><b>Associate/Senior Associate, Data &amp; Analytics</b><br>
<br>
<b>About Palm Tree</b><br>
Palm Tree is a modern M&amp;A value creation firm that integrates financial consulting, operational consulting, and investment banking services. Founded in 2010, Palm Tree partners with private equity firms, business operators, and management teams through strategic events including acquisitions, carve-outs, recapitalizations, restructurings, integrations, and performance improvement initiatives.<br>
Palm Tree&rsquo;s Data &amp; Analytics practice helps private equity portfolio companies and middle-market businesses build modern, insight-driven data capabilities. Our team works alongside executive leadership to design, implement, and optimize data infrastructure and analytics solutions that provide real-time visibility into operational and financial performance.<p></p><b>
The Senior Associate Position</b><br>
The Senior Associate is a key execution leader within Palm Tree&rsquo;s Data &amp; Analytics practice. Senior Associates manage client workstreams, build analytics solutions, and help organizations translate complex data into actionable insights.<br>
This role blends hands-on technical development with client-facing collaboration. Senior Associates work directly with business stakeholders to design data models, build reporting infrastructure, and implement analytics frameworks that support operational decision-making.<br>
The ideal candidate thrives in fast-paced environments, enjoys solving complex data challenges, and is comfortable working in entrepreneurial settings where processes and solutions are continuously evolving.<p></p><b>
Core Responsibilities</b><br>
<b>Data Modeling &amp; Engineering</b><ul><li>
Write production SQL to model, transform, and validate data across multiple source systems including ERP, CRM, and operational databases
</li><li>Build and maintain scalable data models that support reporting and analytics use cases
</li><li>Optimize query performance across complex multi-table schemas
</li><li>Document data pipelines, transformation logic, and business rules
</li></ul><b>Business Intelligence &amp; Reporting</b><ul><li>
Develop and maintain Power BI semantic models, reports, and dashboards
</li><li>Design KPI reporting frameworks that provide leadership teams with clear operational insights
</li><li>Implement row-level security and governance controls within BI environments
</li><li>Support deployment and maintenance of reporting pipelines
</li></ul><b>Data Strategy &amp; Client Engagement</b><ul><li>
Translate business questions into data requirements and analytical frameworks
</li><li>Partner with client stakeholders to define metrics, reporting needs, and data structures
</li><li>Support data governance, quality assurance, and analytics best practices
</li><li>Lead meetings and working sessions with business and technical stakeholders
</li></ul><b>Analytics Delivery &amp; Workstream Ownership</b><ul><li>
Independently manage analytics workstreams across client engagements
</li><li>Scope projects, estimate level of effort, and manage delivery timelines
</li><li>Synthesize insights from structured and unstructured data sources
</li><li>Deliver actionable recommendations that support operational and financial decision-making
</li></ul><b>Team Development &amp; Practice Growth</b><ul><li>
Mentor and support junior team members across analytics engagements
</li><li>Contribute to internal knowledge development and data architecture standards
</li><li>Support development of analytics methodologies and delivery frameworks within the practice
</li></ul><p></p><b>Qualifications</b><ul><li>
3+ years of experience in data analytics, business intelligence, or data engineering roles
</li><li>Strong SQL proficiency, including CTEs, window functions, subqueries, and complex joins
</li><li>Hands-on experience building Power BI models, DAX measures, and dashboards
</li><li>Experience translating business requirements into analytical frameworks and reporting solutions
</li><li>Strong communication skills with the ability to engage both technical and non-technical stakeholders
</li><li>Ability to manage multiple workstreams in fast-paced consulting or advisory environments
</li></ul>The ideal candidate will demonstrate strong analytical thinking, curiosity, and a willingness to solve complex data problems in entrepreneurial environments.<p></p><b>
Preferred Experience</b><ul><li>
Experience working with cloud data platforms such as Azure or Snowflake
</li><li>Familiarity with ETL/ELT tools including Azure Data Factory or dbt
</li><li>Experience using Python for data transformation or automation
</li><li>Exposure to private equity or portfolio company environments
</li><li>Familiarity with ERP systems such as AS/400, NetSuite, or similar
</li></ul><p></p><b>Compensation and Benefits</b><ul><li>
Base salary range of $125,000&ndash;$150,000, with performance-based bonus opportunities.</li><li>
Comprehensive benefits package including medical, dental, and vision insurance.</li><li>
Competitive 401(k) program with employer matching contributions.</li><li>
Hybrid work environment with access to offices in Los Angeles, Chicago, and New York.</li><li>
Unlimited paid time off (PTO).</li><li>
Opportunities for career advancement within a merit-based, entrepreneurial culture.</li></ul><p>
</p><p>_____________________________________________________________________________________</p>
<p></p><p><b>What to Expect When Applying</b></p>
<p>Whether this is your first time applying to Palm Tree or you&rsquo;ve connected with us before, you are welcome to use this portal to submit an updated r&eacute;sum&eacute;, cover letter, or other materials. Our recruiting team will thoughtfully incorporate your most recent information into your existing application profile. And yes&mdash;we do read cover letters. In fact,<i> the cover letter is a great place to demonstrate why you're qualified for a position, even if you do not meet all requirements.</i></p>
<p><b>Application Confirmation</b><br>
After submitting your application, you will receive an email confirming that we&rsquo;ve received your materials.</p>
<p><b>Initial Review</b><br>
Once your application has been reviewed and added to our active candidate database, you will receive a second confirmation email. Timing for this step can vary based on current hiring needs and priorities, so we appreciate your patience.</p>
<p><i>Note: If a role is marked as an &ldquo;immediate&rdquo; opening, the posting will typically outline specific timelines for each stage of the process, including a potential start date.</i></p>
<p><b>Screening</b><br>
If and when a suitable opportunity arises, a member of our hiring team will reach out to schedule an introductory conversation. The timing of this step is demand-driven and can vary.</p>
<p><b>Interviews</b><br>
Qualified candidates will be invited into a formal interview process. As with earlier stages, timing may vary depending on hiring priorities and role requirements.</p>
<p>While we do carefully review every application, we are unable to provide individual feedback to all candidates due to application volume. We value transparency and sincerely appreciate your understanding.</p>
<p><i>Important Notice</i><br>
Palm Tree is not currently engaging outside recruiters or headhunters for this search. Unsolicited r&eacute;sum&eacute; submissions from third parties may inadvertently disqualify a candidate. All interested and qualified candidates should apply directly through this portal.</p><p>
</p><p>OuEl2Oo1b2</p></div>

Associate, Data & Analytics

UCLA Health

<div><div><b>Description</b><p></p><div><p>
The incumbent is responsible for gathering requirements and designing, building, and maintaining applications and databases that support reporting and data submissions for enterprise quality initiatives and collaborative programs. This role brings deep expertise in healthcare data and Large Language Models (LLMs)/Generative AI to develop innovative data solutions that enhance workflow efficiency, decision‑making, and clinical outcomes.</p><p>
The incumbent works across structured and unstructured data, develops and evaluates robust machine learning models, and implements LLM‑powered workflows with a strong emphasis on safety, privacy, regulatory compliance, and bias mitigation. This role partners closely with cross‑functional stakeholders to translate complex requirements into scalable, high‑impact solutions.</p><p>
The incumbent is expected to lead complex projects focused on workflow automation, intelligent automation, and optimization of data structures. Success in this role requires strong intellectual curiosity, a passion for solving complex technical challenges, and the ability to work both independently and collaboratively within a team environment. The incumbent consistently leverages technology to promote efficient, reliable, and future‑ready work systems.</p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience leading or contributing to intelligent automation initiatives</li><li>
Demonstrated success applying AI/ML solutions in healthcare or regulated environments<br>
</li></ul><div>
This is a fixed-hybrid role which will require you to be onsite as required by operational need; there are no reimbursements for travel to &quot;home office&quot; location. Each employee must complete a Hybrid Work Agreement with their manager which will outline arrangement parameters and aids both parties in fully understanding expectations. Arrangements are regularly evaluated, and are subject to termination.</div><p></p><div><p>
Salary offers are determined based on various factors including, but not limited to, qualifications, experience, and equity. The full salary range for this position is 95,400 - $208,300 annually. . The budgeted salary or hourly range that the University reasonably expects to pay for this position is approximately between the start and midpoint.
</p></div></div></div><div><b>Qualifications</b><p></p><p><b>
Education</b></p>
<p>
</p><ul><li>Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field (<b>required</b>)</li>
<li>PhD in Computer Science, Biomedical Informatics, Engineering, Statistics, or related field (<b>preferred</b>)</li>
</ul>
<p></p><p><b>Experience</b></p>
<p>
</p><ul><li>6+ years using Python and AI/ML tools, including LLMs and RAG frameworks</li>
<li>4+ years of prompt engineering applied to healthcare workflow automation</li>
<li>3+ years supporting AI‑enabled analytics or automation using structured and unstructured data</li>
<li>2+ years in ML model development lifecycles, data preparation, and model evaluation</li>
<li>2+ years translating complex business needs into technical and analytical solutions</li>
<li>Experience with AI data governance, privacy, and security in healthcare (<b>preferred</b>)</li>
</ul>
<p></p><p><b>Knowledge, Skills, and Abilities</b></p>
<p>
</p><ul><li>Strong working knowledge of AI, machine learning, NLP, and advanced analytics concepts</li>
<li>Advanced proficiency in Python, R, Tableau, Excel, and related analytics tools</li>
<li>Ability to independently solve complex technical problems with minimal supervision</li>
<li>Strong written and verbal communication skills for both technical and non‑technical stakeholders</li>
<li>Ability to rapidly learn and apply emerging AI technologies</li>
<li>Teaching or mentoring experience supporting junior analysts</li>
<li>Understanding of Epic or other EMR data structures (<b>preferred</b>)</li></ul></div></div>

Business System Analyst IV (Fixed -Hybrid)

Tinder

<div>
 <p>
  <strong>
   Our Mission
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Launched in 2012, Tinder&reg; revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, &ldquo;It Starts with a Swipe&rdquo;&trade;"
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Values
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   One Team, One Dream
  </strong>
 </p>
 <p>
  We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Own It
  </strong>
 </p>
 <p>
  We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Never Stop Learning
  </strong>
 </p>
 <p>
  We cultivate a culture where it&rsquo;s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Spark Solutions
  </strong>
 </p>
 <p>
  We&rsquo;re problem solvers, focusing on how to best move forward when faced with obstacles. We don&rsquo;t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Embrace Our Differences
  </strong>
 </p>
 <p>
  We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high&mdash;making the level of impact each engineer gets to have at Tinder enormous.
  </span>
 </p>
 <p>
  <span>
   As a Backend Engineer at Tinder, you will have an outsized impact and ownership of the most visible aspects of the Tinder App. We are deeply invested in challenging norms, constantly improving architecture design, exploring emergent tech and ideas, and leveraging new technologies in interesting ways to deliver an app that is widely known the world over.&nbsp;
  </span>
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   In this role you will:
  </strong>
  <li>
   Design, develop and operate scalable and resilient distributed services that run on Kubernetes or ECS
  </li>
  <li>
   Collaborate with various functional teams across Tinder on the expansion of our service platform
  </li>
  <li>
   Influence the team roadmap and product development
  </li>
  <li>
   Recruit, encourage, and develop other team members
  </li>
  <p>
   <br/>
  </p>
  <strong>
   You'll need:
  </strong>
  <li>
   Excellent knowledge and experience with a backend language like Java, Node.js, Go, C++
  </li>
  <li>
   BS/MS in Computer Science or an equivalent field with 2+ years of industry work experience
  </li>
  <li>
   Excellent knowledge of Computer Science fundamentals with strong competencies in data structures, algorithms, and coding
  </li>
  <li>
   Strong designing and building distributed backend systems handling high volumes of traffic
  </li>
  <li>
   Experience in handling ambiguous business requirements with excellent prioritization, time management abilities, and a focus on execution
  </li>
  <li>
   Passion to tackle exciting engineering problems and make continuous improvements
  </li>
  <p>
   <br/>
  </p>
  <strong>
   Nice to have:
  </strong>
  <li>
   Experience with cloud computing systems such as AWS, Azure, or Google Cloud Platform
  </li>
  <li>
   Experience in design and development using NoSQL, such as DynamoDB or Cassandra
  </li>
  <li>
   Experience with Redis, ElasticSearch, Kafka, and SparkExperience with Typescript
  </li>
  <li>
   Agile development methodology and CI/CD
  </li>
  <li>
   Experience with Docker containers
  </li>
  <p>
   <br/>
  </p>
  <strong>
   As A full-time employee you will enjoy:
  </strong>
  <li>
   Flexible Vacation, 10 Sick Days
  </li>
  <li>
   Time off to volunteer and charitable donations matched up to $15,000 annually&nbsp;
  </li>
  <li>
   Comprehensive health, vision, and dental coverage
  </li>
  <li>
   100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
  </li>
  <li>
   100% paid parental leave (including for non-birthing parents) and family forming benefits
  </li>
  <li>
   Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
  </li>
  <li>
   Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
  </li>
  <li>
   Free subscription to Tinder Gold
  </li>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <strong>
   Commitment to Inclusion
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;https://www.lifeattinder.com/dei
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   #Tinder
  </em>
 </p>
 <br/>
 <p>
  We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 </p>
 <br/>
 <br/>
 <span>
  The salary range for this position is $160,000 - $180,000.&nbsp; Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
 </span>
</div>


Software Engineer, Backend

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