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junior financial analyst

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ai transformation specialist

analytics, finance & strategynew Jobs in San Francisco

analytics, finance & strategynew

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client accounting and advisory lead

data engineer, analytics Jobs in San Francisco

data engineer, analytics

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Anthropic

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by delivering the analysis and analytics infrastructure that shape how Finance &amp; Strategy (F&amp;S) understands Anthropic's business. In this unique company, technology, and moment in history, your work will directly inform how leadership navigates one of the fastest-growing businesses in the world.</p>
<p>
This is a role spanning data analysis, business intelligence and analytics engineering, partnering closely across several cross functional teams including Data Engineering, Data Science &amp; Analytics, and Finance &amp; Strategy. You will produce high-impact, high-visibility analyses that answer leadership's most pressing questions about the financial trajectory of the business&mdash;revenue drivers, margin dynamics, compute economics, customer segments, and the forces shaping our P&amp;L. You'll also build the datasets, pipelines, and BI foundations that make those insights possible at scale and ensure every number the executive team sees is one they can trust. You've worked in cultures of excellence in the past and are eager to apply that experience to both the craft of analysis and the rigor of building durable data systems as our company goes through a phase of rapid growth.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul>
<li><p>Deliver high-impact analyses and deep dives that surface key insights about Anthropic's financial performance directly to finance and executive leadership</p>
</li>
<li><p>Build and maintain canonical datasets, dashboards, and scaled reporting solutions that provide real-time financial visibility across the company</p>
</li>
<li><p>Partner with Finance &amp; Strategy teams (Product, Compute, GTM, and Corporate) to answer their most important questions and streamline recurring analytical workflows</p>
</li>
<li><p>Establish analytics engineering and BI best practices for F&amp;S, including data management, governance, and reporting standards</p>
</li>
<li><p>Partner with Data Infrastructure, Analytics Engineering, and Financial Systems teams to develop scalable data pipelines supporting finance and accounting analytics</p>
</li>
<li><p>Champion data-informed decision making across the organization</p>
</li>
</ul><h2 class="jobSectionHeader"><b>You may be a good fit if you:</b></h2>
<ul>
<li><p>Have 6+ years of hands-on experience spanning data analysis, business intelligence, and/or analytics engineering, ideally with exposure to Finance &amp; Strategy, Data Infrastructure and Analytics Engineering</p>
</li>
<li><p>Are highly proficient in SQL and Python for analysis, data manipulation, ETL/ELT, and automation</p>
</li>
<li><p>Have a track record of producing analyses that have meaningfully influenced business or leadership decisions</p>
</li>
<li><p>Have extensive experience with data visualization and using Claude / AI tools for data analysis and BI</p>
</li>
<li><p>Have experience with cloud platforms (AWS, GCP) and modern data stack tools (dbt, Airflow, etc.)</p>
</li>
<li><p>Have hands-on experience working with financial systems and building downstream data models from these systems</p>
</li>
<li><p>Excel at translating complex business questions into both sharp analyses and durable technical solutions, and can communicate effectively with technical and non-technical stakeholders, including executives</p>
</li>
<li><p>Are detail-oriented with a deep commitment to data accuracy</p>
</li>
<li><p>Thrive in fast-paced environments, can manage multiple priorities while maintaining high-quality deliverables</p>
</li>
<li><p>Operate with an ownership mindset, taking projects end-to-end from ambiguous question to trusted answer and seeing them through to impact</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Strong candidates may have:</b></h2>
<ul>
<li><p>Championed AI driven analytics and financial analysis within their organizations</p>
</li>
<li><p>Prior experience in high-growth technology companies or startups</p>
</li>
<li><p>Strong financial acumen with deep understanding of finance principles</p>
</li>
<li><p>Knowledge of statistical analysis and advanced analytics techniques</p>
</li>
<li><p>Familiarity with data governance best practices and experience implementing data quality frameworks</p>
</li>
</ul></div><div><div><div><div><p>The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><div><b>
Annual Salary:</b></div><div>
$270,000 - $320,000 USD</div></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><b>
Visa sponsorship:</b> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br>
<br>
<b>Your safety matters to us.</b> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process</p></div></div>

Analytics, Finance & StrategyNew

OpenAI

About the team
<br><br>
The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.
<br><br>
About the Role
<br><br>
The Finance Data team is embedded within the OpenAI CFO Org (not under Engineering nor Product) and our team's mandate is ambitious yet simple:
<br><br>
1) The CFO Org has the data required to be Public Company Ready.
<br><br>
2) The CFO Org has all the data it needs to execute swiftly on our AI first roadmap.
<br><br>
3) Controllership is able to close the books without any manual spreadsheets in the shortest timeframe and with zero material risks.
<br><br>
As an Data Engineer on the Finance Data team, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.
<br><br>
In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.
<br><br>
We are looking for a seasoned Data Engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. In this role you will serve the Head of Supply Chain Systems and be responsible for leading our manufacturing, OTC data mart strategy. The goal is to enable end-to-end asset and inventory traceability for our supply chain infrastructure by end of year 2026. We actually need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.
<br><br>
<b>You might thrive in this role if you:</b><br>
Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
<br><br>
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
<br><br>
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
<br><br>
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
<br><br>
Solid understanding of Spark and ability to write, debug and optimize Spark code.
<br><br>
This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
<br><br>
About OpenAI
<br><br>
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
<br><br>
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
<br><br>
Compensation
<br><br>
$293K – $325K + Offers Equity

Data Engineer, Finance

Astranis

<div><div><p>Astranis builds advanced satellites for high orbits, expanding humanity's reach into the solar system. Today, Astranis satellites provide dedicated, secure networks to highly-sophisticated customers across the globe&mdash; large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts.<br>
<br>
Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization. Astranis has raised over $750 million from some of the world's best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA.</p></div><h4 class="jobSectionHeader"><b>
Total Rewards &amp; Analytics Analyst</b></h4>
<p>
We are looking for a sharp, data-driven Total Rewards &amp; Analytics Analyst to join our People team. This is a high-impact, dual-scope role that sits at the intersection of Total Rewards design and administration and people analytics &mdash; giving you the opportunity to shape how Astranis attracts, retains, and rewards its world-class talent while providing People Analytics to inform key design decisions.
</p><p>Reporting to the Director of Total Rewards, you will be a critical partner in building and maintaining competitive compensation programs, equity administration, benefits analysis, and delivering data-driven insights that inform our people strategy. This is a unique opportunity to build something meaningful at a company that is literally changing how the world connects.</p>
<h4 class="jobSectionHeader"><b>
Role</b></h4>
<h5 class="jobSectionHeader"><b>Total Rewards -</b></h5>
<ul><li>Support the design, implementation, and administration of Total Reward programs including base pay, variable pay, equity, benefits and wellness</li>
<li>Conduct market pricing and benchmarking using survey data (Radford, Pave, Carta, etc.) to ensure competitive positioning</li>
<li>Assist in maintaining and updating salary structures, job architecture, and pay bands across the organization</li>
<li>Partner with Recruiting and HRBPs to support offer development and compensation recommendations</li>
<li>Assist in the administration and communication of equity programs including stock option grants, refresh cycles, and vesting schedules</li>
<li>Support annual compensation cycles including merit increases, bonus payouts, and equity refresh programs</li>
<li>Help develop and maintain Total Rewards communications that educate employees on the full value of their compensation package</li>
<li>Assist in benefits program analysis including benchmarking, utilization reporting, and vendor management and configuration support</li>
</ul><h5 class="jobSectionHeader"><b>People Analytics -</b></h5>
<ul><li>Leverage our suite of analytics to extract insights and tell stories with our data. Partnering with our SVP of People you will create the views and slides that our executives will use to better understand the workforce.</li>
<li>Conduct ad hoc data analysis to support People team decisions and business partner requests</li>
<li>Develop and maintain equity budget tracking including forecast vs. actual share utilization by grant type</li>
<li>Analyze compensation equity and pay parity across the organization and surface insights to leadership</li>
<li>Partner with Finance on headcount planning and workforce cost modeling</li>
<li>Support the design and analysis of employee surveys and engagement data</li>
<li>Present data insights in clear, compelling formats for PeopleTeam leadership</li>
</ul><h4 class="jobSectionHeader"><b>Requirements</b></h4>
<ul><li>3-5 years of experience in Total Rewards, Compensation, or People Analytics</li>
<li>Strong analytical and quantitative skills &mdash; you are comfortable working with large datasets and drawing meaningful conclusions</li>
<li>Advanced proficiency in Microsoft Excel or Google Sheets including complex formulas, nested if statements, and pivot tables</li>
<li>Experience with compensation benchmarking tools such as Radford, Mercer, Carta, or similar</li>
<li>Working knowledge of equity compensation including stock options, RSUs, vesting schedules, and 409A valuations</li>
<li>Strong attention to detail and ability to handle sensitive and confidential information with discretion</li>
<li>Excellent written and verbal communication skills &mdash; able to translate complex data into clear narratives</li>
<li>Bachelor's degree in Human Resources, Business, Finance, Statistics, or related field</li>
</ul><h4 class="jobSectionHeader"><b>Bonus</b></h4>
<ul><li>Experience with HRIS systems such as Workday, ADP, or Paylocity</li>
<li>Proficiency in data visualization tools such as Tableau, Looker, or People Insights</li>
<li>Familiarity with SQL or Python for data analysis</li>
<li>Experience working in a high-growth startup or aerospace/technology company</li>
<li>Knowledge of benefits administration and vendor management</li>
<li>Experience supporting executive compensation programs</li></ul><p></p><div><div><b><br>
U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required</b></div>
<div>(To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3))</div>
<div></div>
<div>Our mission and our products are meant to connect the world and everyone in it, regardless of gender, race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.</div></div></div>

Total Rewards & Analytics Analyst

Twitch

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 <br/>
 <br/>
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for an experienced Data Scientist to support our central analytics and finance disciplines at Twitch. Bringing to bear a mixture of data analysis, dashboarding, and SQL query skills, you will use data-driven methods to answer business questions, and deliver insights that deepen understanding of our viewer behavior and monetization performance. Reporting to the VP of Finance, Analytics, and Business Operations, your team will be located in San Francisco.
 <br/>
 <br/>
 Our team is based in San Francisco, CA.
 <br/>
 <br/>
 <strong>
  You Will:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Create actionable insights from data related to Twitch viewers, creators, advertising revenue, commerce revenue, and content deals.
  </li>
  <li>
   Develop dashboards and visualizations to communicate points of view that inform business decision-making.
  </li>
  <li>
   Create and maintain complex queries and data pipelines for ad-hoc analyses.
  </li>
  <li>
   Author narratives and documentation that support conclusions.
  </li>
  <li>
   Collaborate effectively with business partners, product managers, and data team members to align data science efforts with strategic goals.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Have:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of data science experience with a Bachelor's degree in a quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science).
  </li>
  <li>
   Expertise in using SQL for data analysis, reporting, and dashboarding.
  </li>
  <li>
   Expertise with visualization tools like Tableau or Quicksight.
  </li>
  <li>
   Experience with a scripting language such as Python or R.
  </li>
  <li>
   Comfort with data warehouses and big data technologies at consumer scale such as Redshift, Snowflake, Big Query, etc.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s or Doctorate degree in a quantitative field (e.g. Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, or Computer Science)
  </li>
  <li>
   Experience in gaming or digital media
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical, Dental, Vision &amp; Disability Insurance
  </li>
  <li>
   401(k)
  </li>
  <li>
   Maternity &amp; Parental Leave
  </li>
  <li>
   Flexible PTO
  </li>
  <li>
   Amazon Employee Discount
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
  <br/>
  <br/>
 </em>
 Job ID: TW9095
 <br/>
 <br/>
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 <br/>
 <br/>
 US, CA, San Francisco
 <br/>
 <br/>
 $157,300&mdash;$212,800 USD
 <br/>
 <br/>
 <em>
  Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  <br/>
  <br/>
 </em>
 <em>
  Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 </em>
</div>


Data Scientist

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by establishing robust analytics engineering and business intelligence capabilities for our Finance &amp; Accounting organization. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting our financial operations as we deploy safe, frontier AI at scale to the world.</p>
<p>
As a founding Data Scientist on Anthropic's Finance Forecasting team, you'll own revenue forecasting models that drive capacity planning and board reporting, build the backtesting and accuracy discipline that makes those forecasts trustworthy, and lead causal measurement work that tells us how much a given launch or event actually moved revenue &mdash; turning what is currently a best-guess conversation into a designed, repeatable readout.</p>
<p>
We're hiring for two seats on this team, and we expect candidates to lead with depth in either production time-series forecasting or causal inference. Both shapes are first-class; tell us in your application which one feels more like you.</p>
<p>
This is a build role on a small team. The forecast is visible inside the company, and when it's wrong, people notice. We're looking for someone who would rather have their models scored than stay vague, and who is excited to set the bar for how forecasting is done here.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul>
<li><p>Own a core piece of the team's modeling work &mdash; either the production revenue forecasts themselves (scoping, development, backtesting, deployment, monitoring) or the causal measurement program for launches and events</p>
</li>
<li><p>Build and run backtesting and accuracy tracking for your models, and use the results to improve quality cycle over cycle</p>
</li>
<li><p>Contribute to the team's broader research direction, including event-aware forecast architectures, hierarchical reconciliation, and causal designs that hold up under launch-driven step-changes</p>
</li>
<li><p>Translate model output and accuracy results into clear recommendations for Finance and executive leadership</p>
</li>
<li><p>Partner with the team's Analytics Engineer on feature pipelines, model deployment, and the forecast store</p>
</li>
</ul><h2 class="jobSectionHeader"><b>You may be a good fit if you:</b></h2>
<ul>
<li><p>Have substantial experience in data science, forecasting, or quantitative finance, including time owning models in production rather than only in notebooks</p>
</li>
<li><p>Are deeply fluent in Python and SQL and comfortable productionizing what you build</p>
</li>
<li><p>Have a strong applied statistics foundation, with depth in either production time-series methods (Prophet, ETS, ARIMA, gradient-boosted approaches, neural forecasting, hierarchical reconciliation) or causal inference (difference-in-differences, synthetic control, Bayesian structural time series, event studies)</p>
</li>
<li><p>Have built backtesting and accuracy-tracking discipline before and are comfortable having your models scored publicly</p>
</li>
<li><p>Have presented and defended a forecast or causal estimate to executives</p>
</li>
<li><p>Have a bias for action and do your best work in ambiguous, early-stage environments</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Strong candidates may also have:</b></h2>
<ul>
<li><p>Experience with exogenous-regressor or event-aware forecasting approaches</p>
</li>
<li><p>Familiarity with hybrid or foundation-model forecasting (TimeGPT-class systems)</p>
</li>
<li><p>Background in pricing and elasticity modeling or marketing-mix modeling</p>
</li>
<li><p>Experience forecasting a consumption-based or usage-billed business (cloud, API, marketplace)</p>
</li>
</ul><h2 class="jobSectionHeader"><b>What success looks like in your first year:</b></h2>
<ul>
<li><p>A cross-methodology accuracy baseline is published as a standing Finance metric</p>
</li>
<li><p>The base revenue forecast is measurably more accurate than today's consensus on the same out-of-sample window</p>
</li>
<li><p>Launch incrementality is a standing readout with a designed, backtested method behind it</p>
</li>
<li><p>Forecasts are queryable from the forecast store and feeding capacity planning and board reporting</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Things to know</b></h2>
<p>
Anthropic's business is growing quickly, with launch-driven step-changes that mean what worked last quarter may not generalize. Methodology direction is a research program, not a settled architecture. You'll be building practices and systems while also delivering a monthly number, alongside an Analytics Engineer who is building the platform underneath you.</p></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><div><b>
Annual Salary:</b></div><div>
$270,000 - $320,000 USD</div></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><b>
Visa sponsorship:</b> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br>
<br>
<b>Your safety matters to us.</b> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process</p></div></div>

Data Scientist, Finance ForecastingNew

World Golf Tour

<div>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 World Golf Tour is seeking a Data Analyst to join our Product team. In this critical role, you will be the custodian of our data, organizing insights, and analyzing telemetry to support strategic business decisions. You will focus on developing and maintaining dashboards and analysis reports, collaborating across the studio and closely with the Product team to provide actionable insights that help drive the business. This role emphasizes strong data stewardship, visualization and statistical analysis.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Clean, validate, and prepare datasets for analysis, including resolving issues regarding missing, inconsistent, or novel data
  </li>
  <li>
   Perform exploratory data analysis to identify trends, patterns, and anomalies that inform business decisions
  </li>
  <li>
   Develop and maintain dashboards, reports, and visualizations using tools such as Amplitude, Power BI, or Excel
  </li>
  <li>
   Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders
  </li>
  <li>
   Partner with business teams (e.g., marketing, product, finance) to understand data needs and deliver relevant analyses
  </li>
  <li>
   Support ad hoc analysis and deep dives to answer specific business questions or identify opportunities
  </li>
  <li>
   Ensure compliance with data governance, privacy, and security standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
  </li>
  <li>
   2&ndash;4 years of experience in a data analyst or similar role, preferably in game or software development
  </li>
  <li>
   Strong proficiency in SQL for data querying and manipulation
  </li>
  <li>
   Experience with data analysis tools/languages such as Python or R
  </li>
  <li>
   Advanced proficiency in Excel (e.g., pivot tables, formulas, data modeling)
  </li>
  <li>
   Experience with data visualization tools (e.g., Tableau, Power BI)
  </li>
  <li>
   Strong proficiency in statistical methodologies and data analysis
  </li>
  <li>
   Strong problem-solving and critical thinking skills
  </li>
  <li>
   Excellent communication skills, with the ability to present complex data in a clear and concise manner
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery)
  </li>
  <li>
   Familiarity with ETL processes and data pipeline development
  </li>
  <li>
   Knowledge of basic machine learning or predictive analytics techniques
  </li>
  <li>
   Experience working in game development
  </li>
  <li>
   Understanding of data governance and privacy regulations
  </li>
  <li>
   Experience in a fast-paced, cross-functional environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 <strong>
  World Golf Tour
 </strong>
 is a leader in online golf, delivering the most realistic and immersive virtual golf experience to players around the globe. We are best known for our core product
 <strong>
  WGT Golf
 </strong>
 , a free-to-play golf game that has set the standard for virtual golf since its launch in 2008. Renowned for its photorealistic recreations of iconic courses such as Pebble Beach, The Old Course at St Andrews, and Quail Hollow Club, the game combines authentic course imagery with precise swing mechanics and multiplayer competition to offer an experience trusted by millions.
 <br/>
 <br/>
 Compensation Range: $75K - $125K
 <br/>
 <br/>
</div>


Data Analyst

Trident Consulting

<div>
 <p>
  Trident Consulting is currently seeking a
  <strong>
   &rdquo;Technical Recruiter"
  </strong>
  for one of our industry leading clients in
  <strong>
   "Remote"
  </strong>
  . A global leader in business and technology services.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role:
  </strong>
  Technical Recruiter
 </p>
 <p>
  <strong>
   Location:
  </strong>
  San Francisco, CA(Remote)
 </p>
 <p>
  <strong>
   Type:
  </strong>
  W2 Contract
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Manage full-cycle recruiting
   </strong>
   for technical roles across
   <strong>
    North America (US &amp; Canada),
   </strong>
   ensuring a consistent and positive candidate experience
  </li>
  <li>
   Partner with hiring managers to develop sourcing strategies for current and future hiring needs
  </li>
  <li>
   Build and maintain strong talent pipelines through proactive sourcing and networking
  </li>
  <li>
   Leverage multiple platforms (web, social, professional networks) to identify and engage candidates
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills:
  </strong>
 </p>
 <ul>
  <li>
   5+ years of
   <strong>
    full-cycle recruiting experience
   </strong>
   for technical roles (e.g.,
   <strong>
    Data Science, Product, Design)
   </strong>
  </li>
  <li>
   2+ years of
   <strong>
    in-house recruiting
   </strong>
   experience in tech companies.
  </li>
  <li>
   Experience with modern recruiting tools (e.g.,
   <strong>
    Greenhouse ATS, GoodTime, Gem/HireEZ
   </strong>
   or similar)
  </li>
  <li>
   Experience in high-growth, fast-paced environments,
   <strong>
    managing 6&ndash;10 open requisitions simultaneously
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Trident
  </strong>
 </p>
 <p>
  Trident Consulting is an award-winning staffing and consulting firm headquartered in San Ramon, CA. Since 2005, we&rsquo;ve partnered with Fortune 500 and high-growth companies to deliver high-quality talent across technology, engineering, business operations, and professional services.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We specialize in contract, contract-to-hire, and direct hire placements, supporting roles across IT, data &amp; analytics, cloud, cybersecurity, finance &amp; accounting, HR, operations, and more. With a strong focus on hard-to-fill and niche positions, our global recruiting engine enables us to deliver speed, quality, and scale.
 </p>
</div>


Technical Recruiter

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