product data scientist

Checkout.com

<div>Company Description
We&rsquo;re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we&rsquo;re behind many of the digital experiences you use every day.
 
 
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
 
 
Whether you want to book a holiday, order food, renew a subscription, or check out online, there&rsquo;s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
 
 
If you want to do career-defining work, you&rsquo;ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
 
 
With 20 offices across six continents and London as our HQ, we&rsquo;re shaping the future of fintech &ndash; and we&rsquo;re just getting started.
As a Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your analytical expertise to influence the strategy of our Operations and Compliance products. You'll focus on two main domains: AML Transaction Monitoring, where you will help optimize our rules-engine and scale predictive automation, and Merchant Care, where you will measure tooling efficiency and apply text analytics to drive product roadmaps.
You'll help define how we measure the success of our products, collaborate with engineers on data collection, build analytical frameworks, and run insights to find product improvement opportunities. Data Analytics at Checkout.com is a highly visible function that critically impacts the company&rsquo;s success. As part of this group, you'll have a strong support network of Senior Data Scientists, Analytics Engineers, and Data Product Managers to help you develop your technical and data science practice.
How You&rsquo;ll Make an Impact<ul><li>
Efficiency &amp; Product Measurement: Build frameworks to measure the operational efficiency and ROI of new software releases and internal tooling updates within Merchant Care.</li><li>
Data Partnerships: Work closely with Data Analytics Engineers and Software Engineers to ensure we log and model the right data to produce high-integrity business insights.</li><li>
Data-driven automations and solutions:<ul><li>
Run historical data simulations to analyze how changes in our deterministic AML rule thresholds affect review backlogs, and suggest optimal logic updates to our SQL-based alerts.</li><li>
Support the development and testing of a Level 1 (L1) automated discounting agent for transaction monitoring alerts, building on existing team frameworks.</li></ul></li><li>
Text Analytics &amp; Insights: Use clustering techniques and LLM-based summary extraction on merchant ticket conversations to identify recurring user friction points and help product teams map future features.</li></ul>
What We&rsquo;re Looking For<ul><li>
Technical foundations: Excellent data interrogation skills with SQL and the ability to comfortably write, read, and iterate through Python scripts to run data science analyses.</li><li>
Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data tasks.</li><li>
Analytical Mindset: A strong analytical mind with a demonstrable ability to take operational problems and convert them into structured, data-informed solutions.</li><li>
Communication: Clear and precise communicator, able to explain data insights and analytical logic to non-technical stakeholders (Product Managers and Operations teams).</li></ul>
Experience: Prior experience or a strong internship background in product analytics, risk/compliance data, or a high-growth tech environment is a plus.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you&rsquo;ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It&rsquo;s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you&rsquo;re ready to grow and make a difference, you&rsquo;ll be right at home here.
It&rsquo;s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it&rsquo;s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram</div>

Product Data Scientist

Depop

<div>Company Description
Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new. 
 
Founded in 2011, Depop&rsquo;s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. 
 
Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com
 
 
We aim to create an inclusive environment where everyone is welcome, no matter who they are or where they&rsquo;re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. 
 
We&rsquo;re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We&rsquo;re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. 
 
AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human. 
 
If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com.
We&rsquo;re looking for a Senior Product Data Scientist to join our Insights team. You&rsquo;ll partner closely with product, engineering, and machine learning to deliver insights, drive experimentation, and shape the future of Depop&rsquo;s product ecosystem.
This role sits at the intersection of technical excellence and strategic impact. You will not only dive deep into data, pipelines, and experimentation frameworks, but also influence product direction, user experience, and commercial outcomes.
What You&rsquo;ll Do In The Role:
Lead analytics and technical discovery for a core product area
Partner with product, engineering and ML teams to tackle ambiguous problems where the path forward is unclear. You&rsquo;ll independently identify opportunities for analysis, develop new approaches where existing methodologies fall short and generate insights that directly shape the product and ML roadmaps.
Influence product and business strategy
Provide a strategic lens to product thinking by connecting user behaviour, marketplace dynamics and commercial outcomes. Influence prioritisation decisions at both team and company level, acting as a thought partner. Challenge assumptions and raise the quality of decision making.
Design and run experiments
Define hypotheses, implement A/B tests, and rigorously evaluate impact with deep dives and customer behaviour insights to inform roll out decisions and future product development.
Work together with other teams to enable self-serve data driven decision making
Collaborate with product, platform and data teams to ensure scalable, accurate datasets for analysis. Develop dashboards and reporting that drive awareness and actionable insights.
What We&rsquo;re Looking For:<ul><li>
Strong SQL skills and experience querying large, complex datasets</li><li>
Proficiency in Python, with experience in advanced analytics techniques, analysing model outputs or supporting ML evaluation workflows</li><li>
Familiarity with ETL workflows and debugging data issues</li><li>
Proven experience with experimentation</li><li>
Hands-on experience with visualisation tools (Looker, Tableau, or similar)</li><li>
Excellent communication skills&mdash;able to explain complex topics clearly and persuasively</li><li>
Commercial mindset with the ability to balance user and business needs</li><li>
Strong sense of ownership, highly organised, and proactive</li><li>
Comfortable working across ambiguity and fast-changing environments</li></ul>
Bonus Points:<ul><li>
Experience in C2C marketplaces or mobile-first consumer products</li><li>
Experience working alongside machine learning teams or embedding data science in ML-powered product discovery</li></ul>
Additional Information
Health + Mental Wellbeing<ul><li>
PMI and cash plan healthcare access with Bupa</li><li>
Subsidised counselling and coaching with Self Space</li><li>
Cycle to Work scheme with options from Evans or the Green Commute Initiative</li><li>
Employee Assistance Programme (EAP) for 24/7 confidential support</li><li>
Mental Health First Aiders across the business for support and signposting</li></ul> 
Work/Life Balance:<ul><li>
25 days annual leave with option to carry over up to 5 days</li><li>
1 company-wide day off per quarter</li><li>
Impact hours: Up to 2 days additional paid leave per year for volunteering</li><li>
Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.</li><li>
Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant</li><li>
All offices are dog-friendly</li><li>
Ability to work abroad for 4 weeks per year in UK tax treaty countries</li></ul>
Family Life:<ul><li>
18 weeks of paid parental leave for full-time regular employees</li><li>
IVF leave, shared parental leave, and paid emergency parent/carer leave</li></ul>
Learn + Grow:<ul><li>
Budgets for conferences, learning subscriptions, and more</li><li>
Mentorship and programmes to upskill employees</li></ul>
Your Future:<ul><li>
Life Insurance (financial compensation of 3x your salary)</li><li>
Pension matching up to 6% of qualifying earnings</li></ul>
Depop Extras:<ul><li>
Employees enjoy free shipping on their Depop sales within the UK.</li><li>
Special milestones are celebrated with gifts and rewards!</li></ul></div>

Senior Product Data Scientist

SimilarWeb

<div>At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 5,700 customers globally, including industry giants like Google, Meta, and OpenAI, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. 


About the Role

We're looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, you'll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You'll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team. 


What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like:
<ul>
<li>Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.</li>
<li>Apply your expertise in quantitative analysis and data mining to turn data into insights.</li>
<li>Conduct research and develop tools which will help answer client's' business. questions by using Similarweb's raw data sets and algorithms.</li>
<li>Partner with Engineering teams to establish an infrastructure to scale solutions.</li>
<li>Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly</li>
</ul>
This is the perfect job for someone who has:
<ul>
<li>At least 2 years experience with SQL/pySpark for data analysis - Must</li>
<li>Experience in Python scripting - Must</li>
<li>Excellent verbal and communication skills in English - Must</li>
<li>AWS Infrastructure experience - Big Advantage</li>
<li>Working with clients - Big Advantage.</li>
<li>Proficiency in Online Marketing/Online Services - Advantage</li>
<li>At least 2 years work experience in Online/Tech Company - Advantage</li>
<li>Team player, autodidact, fast learner with excellent analytical, research and business skills.</li>
<li>Demonstrates initiative and a proactive mindset -Must</li>
<li>Experienced in independently managing complex projects from start to finish.</li>
<li>Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.</li>
<li>Master's degree - Big Advantage.</li></ul> 


Why you'll love being a Similarwebber:

You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said &quot;the product.&quot; Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks &amp; benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here.

Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

#LI-KZ #LI-Hybrid<div>
We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.</div></div>

Product Data Scientist (Data Labs)

Perplexity

<div>
 Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption
 </li>
 <li>
 Formulate hypotheses and validate them by designing, running, and analyzing A/B tests
 </li>
 <li>
 Determine appropriate metrics and visualizations for tracking, and implement them in dashboards
 </li>
 <li>
 Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience working as a data analyst or in a related role
 </li>
 <li>
 Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments
 </li>
 <li>
 Strong Python skills (expected to write production-grade code)
 </li>
 <li>
 Proficiency with SQL
 </li>
 <li>
 Experience with Business Intelligence (BI) tools
 </li>
 <li>
 Deep knowledge of statistics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proficiency with Apache Spark
 </li>
 <li>
 Experience with Databricks
 </li>
 <li>
 Experience with development of LLM-as-a-judge systems
 
 
 </li>
 </ul>
</div>

Member of Technical Staff (Product Data Scientist, Search Quality)

Binance

<div>About Binance.US:
Binance.US is America&rsquo;s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world&rsquo;s most popular cryptocurrencies, all with some of the lowest fees in the industry. We&rsquo;re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit www.binance.us. All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.
About This Role:
As a Senior Product Data Scientist at Binance.US, you will sit at the intersection of product strategy, experimentation, and data science. Your mission is to drive measurable improvements in user growth, engagement, retention, and revenue through rigorous analysis, experimentation, and data-informed product decisions.
You will partner closely with Product Managers, Engineers, Designers, and Business leaders to understand user behavior across the full lifecycle, design and evaluate experiments, and translate insights into product changes that materially move core metrics such as conversion, ARPU, retention, and stickiness.
This is a hands-on role for a data scientist who has repeatedly used A/B testing and product analytics to drive real business outcomes, not just analysis or reporting.
Core Responsibilities:<ul><li>
Own and drive end-to-end product analytics for key consumer-facing products and initiatives</li><li>
Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify opportunities for growth, monetization, and improved user experience</li><li>
Design, execute, and analyze A/B and multivariate experiments to evaluate product, UX, pricing, and growth initiatives</li><li>
Partner with Product Managers to define clear hypotheses, success metrics, and guardrails for experiments and product launches</li><li>
Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders</li><li>
Develop and maintain key product KPIs, dashboards, and monitoring metrics to track product performance and experiment results</li><li>
Ensure accurate event tracking and data instrumentation for new and existing product features</li><li>
Leverage AI-assisted tools and ML techniques (e.g., segmentation, propensity scoring) to take on more advanced analysis to support product decisions</li><li>
Support ad-hoc data requests from cross-functional teams across the company</li><li>
Support strategic deep dives that influence roadmap prioritization and business strategy</li></ul>
Preferred Skills/Experience:<ul><li>
4+ years of experience in Data Science, Product Analytics, or a closely related role in a consumer-facing tech company</li><li>
Proven, hands-on experience designing and analyzing A/B tests that led to measurable improvements in metrics like revenue, ARPU, retention, etc.</li><li>
Strong understanding of experimental design, statistics, and causal inference, including common pitfalls and trade-offs in real-world experimentation</li><li>
Deep experience analyzing user funnels, cohorts, lifecycle metrics, and customer journeys</li><li>
Fluency in SQL and proficiency in Python or R</li><li>
Experience building compelling dashboards and data visualizations to communicate insights (experience with Tableau is a plus)</li><li>
Comfortable leveraging AI tools to extend analytical capabilities and independently tackle more complex analyses</li><li>
Strong business acumen with the ability to connect data insights to product strategy and commercial outcomes</li><li>
Excellent communication skills, with the ability to influence product decisions through data</li><li>
Experience working in a fast-paced, high-growth startup environment</li><li>
Ability to manage multiple initiatives simultaneously while maintaining analytical rigor and execution quality</li><li>
Prior experience in fintech, crypto, or marketplace products is a plus, but not required</li></ul><h2 class="jobSectionHeader">
Salary:</h2>
The starting pay range for this role is between CAD$150,000 - CAD$175,000 per year for all Canadian remote locations and between USD$170,000 - USD$195,000 per year for all U.S. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change.
Our Mission:
 
At Binance.US, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we&rsquo;re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all.
Our Values: 
Our values shape how we work, make decisions, and support our users every day:<ul><li>
Act with Integrity: We do what&rsquo;s right, even when no one is watching.</li><li>
Be Collaborative: We work together with respect and transparency to achieve shared goals.</li><li>
Customers First: We listen to, advocate for, and prioritize our users in every decision we make.</li><li>
Do the Work: We take ownership, follow through, and deliver results that move the mission forward.</li><li>
Embrace Change: We stay adaptable and curious, thriving in a fast moving industry.</li></ul>
Our Benefits:
We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings.<ul><li>
Time &amp; Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave.</li><li>
Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits.</li><li>
Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires.</li><li>
Professional &amp; Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match.</li></ul>
BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic.
Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.</div>

Senior Data Scientist, Product Analytics

Data Scientist, Product Analytics

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

Data Scientist, Analytics (Technical Leadership)

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