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data scientist product analytics

Data Scientist, Product Analytics

Create Music Group

<div><p>Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP&rsquo;s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide.</p><p></p><p><b><br>
Job Summary</b></p><p>
We are building CreateOS &mdash; a next-generation operating system for modern record labels &mdash; and AI is at the center of it. As a Machine Learning Engineer, you will be a core builder on the team responsible for designing, training, deploying, and maintaining the ML systems that power intelligent automation, forecasting, anomaly detection, and agentic workflows across the platform.</p><p>
This is a hands-on engineering role for someone who is equally comfortable prototyping a new model and shipping it to production. You will work directly with the VP of AI &amp; ML Engineering and partner closely with Data Engineering, Analytics, and Product to move AI from experimentation into reliable, scalable production systems embedded in real user workflows.</p><p>
Your immediate impact will be on three of CMG's highest-priority AI initiatives: M&amp;A catalog valuation forecasting, AI-driven A&amp;R discovery, and marketing automation agents &mdash; each directly tied to revenue growth and competitive differentiation.</p><p></p><p><b><br>
Responsibilities</b></p><p><b>
Applied Machine Learning</b></p><ul><li>
Build and maintain ML models for forecasting, anomaly detection, classification, ranking, and optimization across music industry use cases (catalog valuation, royalty reasoning, A&amp;R intelligence, marketing performance, etc.)</li><li>
Partner with Analytics &amp; BI to identify, engineer, and validate features that drive meaningful predictive power</li><li>
Own the full ML lifecycle &mdash; from problem framing and data exploration through training, evaluation, deployment, and monitoring</li></ul><p><b>
MLOps &amp; Production Engineering</b></p><ul><li>
Deploy and monitor models in production using modern MLOps tooling</li><li>
Instrument models for performance tracking, drift detection, and continuous improvement</li><li>
Implement CI/CD, automated testing, model versioning, and observability for all ML systems</li><li>
Collaborate with Data Engineering to ensure data quality, feature delivery, and pipeline reliability</li></ul><p><b>
Agentic AI &amp; LLM Systems (Stretch)</b></p><ul><li>
Develop and maintain modular AI agents that automate multi-step workflows across CreateOS (contracts, accounting, distribution, metadata)</li><li>
Build and iterate on RAG pipelines, retrieval architectures, and semantic search systems grounded in structured business data</li><li>
Implement guardrails, evaluation frameworks, and safe action boundaries for agentic systems</li></ul><p><b>
Collaboration &amp; Communication</b></p><ul><li>
Translate business problems from non-technical stakeholders into well-scoped ML solutions</li><li>
Document model design decisions, evaluation results, and known limitations clearly</li><li>
Contribute to a culture of engineering rigor and responsible AI development</li><li>
Other duties as assigned</li></ul><p><b>
Qualifications</b></p><ul><li>
2+ years of software engineering experience in a production environment, with exposure to ML or data science work (academic, professional, or project-based); OR 2+ years of experience specifically as an ML Engineer or Applied Data Scientist</li><li>
Strong proficiency in Python and ML frameworks (PyTorch, scikit-learn, XGBoost, or similar)</li><li>
Hands-on experience building, deploying, and monitoring models in cloud environments &mdash; GCP strongly preferred (AWS or Azure acceptable); familiarity with services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run is a strong plus</li><li>
Solid understanding of modern ML techniques &mdash; supervised/unsupervised learning, time series forecasting, embeddings, ranking &mdash; and their mathematical foundations</li><li>
Experience with LLMs and prompt engineering, including building RAG systems or LLM-powered features</li><li>
Comfortable working with structured and unstructured data at scale</li><li>
Strong communication skills with the ability to explain complex model behavior to non-technical audiences</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
MS in Machine Learning, Data Science, Business Analytics, Computer Science, Statistics, or a related quantitative field &mdash; candidates using this role as their entry point into ML engineering are encouraged to apply; OR 2+ years of experience as an ML Engineer or Applied Data Scientist in lieu of an advanced degree</li><li>
Experience at a startup or high-growth technology company where you owned features end-to-end</li><li>
Familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)</li><li>
Background in music, media, entertainment, or rights/royalties data</li><li>
Experience with ontology design, knowledge graphs, or semantic data modeling</li><li>
Contributions to open-source ML projects or published research</li><li>
Familiarity with AI evaluation practices &mdash; hallucination detection, bias auditing, model explainability</li></ul><p><b>
Pay Scale</b></p><ul><li>
$160,000 - $200,000 per year</li><li>
The final compensation within this range will be determined based on the candidate&rsquo;s experience, skills, and overall fit for the role.</li></ul><p></p><p><b><br>
Fair Chance Policy</b></p><p>
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.</p></div><p></p>

Machine Learning Engineer

Tiger Analytics

<div><p>Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
</p><p>We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in Data Science modelling, within the CPG domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.</p><p><b>
Responsibilities:</b></p><br>
<ul><li>
Work on the latest applications of data science to solve business problems</li><li>
Work directly with client stakeholders to translate business problems into high level analytics solution designs</li><li>
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value</li><li>
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably</li><li>
Responsible for managing analytics projects, collaborating with client stakeholders and Tiger&rsquo;s team situated globally
</li><li>Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights</li><li>
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
8 - 13 years of professional work experience with at least 5 years in Data Science</li><li>
Ability to engage with executive/VP-level stakeholders from client&rsquo;s team to translate business problems to high level analytics solution approach</li><li>
Solid understanding of statistical and machine learning algorithms</li><li>
Strong project management and team management skills and ability to work with global teams</li><li>
Strong SQL skills and hands-on experience with analytic tools like R &amp; Python
</li><li>Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus</li><li>
Experience working with CPG Domain companies.</li><li>
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes</li><li>
Bachelor's in Business Analytics or equivalent work experience.</li></ul><br>
<b>
Benefits</b><p><br>
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.</p></div>

Lead Data Scientist(CPG)- Data Science

Tinder

<div>
 <p>
  <strong>
   Our Mission
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&mdash;and rapidly growing.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Program Duration
  </strong>
 </p>
 <p>
  <span>
   The internship program will run from June 1 through August 28, 2026.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Where you&rsquo;ll work
  </strong>
 </p>
 <p>
  <span>
   This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <span>
   As a Data Scientist Intern at Tinder, you&rsquo;ll help us uncover insights from one of the world&rsquo;s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You&rsquo;ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.
  </span>
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   What you'll do:
  </strong>
  <li>
   Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
  </li>
  <li>
   Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement
  </li>
  <li>
   Design and execute A/B experiments to measure the impact of product features and algorithmic changes
  </li>
  <li>
   Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies
  </li>
  <li>
   Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos
  </li>
  <li>
   Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements
  </li>
  <li>
   Participate in improving the team&rsquo;s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation
  </li>
  <p>
   <br/>
  </p>
  <strong>
   What we're looking for:
  </strong>
  <li>
   Passion for using data and experimentation to solve complex problems
  </li>
  <li>
   Intermediate to advanced SQL skills for data querying and analysis
  </li>
  <li>
   Familiarity with / building to proficiency in Python
  </li>
  <li>
   Strong foundation in statistics, probability, and machine learning fundamentals
  </li>
  <li>
   Understanding of data structures and algorithms
  </li>
  <li>
   Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
  </li>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <span>
   Commitment to Inclusion
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   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;
  </span>
  <span>
   https://www.lifeattinder.com/dei
  </span>
 </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/>
 <br/>
 <span>
  The compensation range listed above is representative of the hourly rate offered.
  <br/>
 </span>
 <em>
  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 Los Angeles, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 </em>
</div>


Data Scientist Intern

Netflix

<div>
 At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
 <br/>
 <br/>
 It's an exciting time to join Netflix as we continue to transform entertainment globally. We are bringing new stories to millions of people worldwide by promoting our original, exclusive content. As we move beyond 300 million members and hundreds of partnerships worldwide, our approach to marketing is to build innovative, culturally relevant, creatively excellent campaigns that pierce the zeitgeist and drive conversation.
 <br/>
 <br/>
 Our Experiences team puts fans at the center of their favorite stories, in real life, through permanent entertainment venues, Netflix House, and touring attractions around the world. Netflix Houses are our permanent, always-on, constantly refreshable entertainment venues, where guests can step into their favorite stories. We want these experiences, along with merchandise offerings, to help promote love for our titles so they become part of the conversation zeitgeist for longer periods of time and drive long-term value for Netflix.
 <br/>
 <br/>
 Data is a crucial component in shaping our comprehensive conversation strategy. In Content &amp; Conversation Applied Science and Analytics (CASAS) DSE, we focus on delivering data products and insights that support our business partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact.
 <br/>
 <br/>
 We are seeking a talented Data Scientist to provide key insights and thought partnership to our Experience team decision makers. You will leverage analytical expertise to build advanced analytical models, develop insights, and uncover trends for Netflix House locations (visitation, attendance, fan behavior, and satisfaction). Your work will directly inform executive decision making as well as optimization and re-forecasting processes in order to enhance fan and House employee experience. In success, you will collaborate on existing priorities but also will propose and execute on new opportunities. This role features ample opportunity for project ownership, leadership and direct influence on impactful business decisions.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Be a strategic thought partner with business stakeholders to define high impact analytical problems and innovative ways to solve them with data.
  </li>
  <li>
   Develop systems to analyze trends in fan behavior, including time spent, arrival and departure patterns, interactions with different Netflix IPs and spaces, and preferences for retail and F&amp;B offerings.
  </li>
  <li>
   Develop robust forecasting models to identify future trends, explaining attendance due to seasonality, location, price demand relationship, and other key influencing factors and enabling the business to make data-driven decisions and proactively adapt strategies based on actionable insights.
  </li>
  <li>
   Act as a trusted advisor to business leaders, directly informing decision-making and operational planning.
  </li>
  <li>
   Actively identify emerging business needs and develop analytical tools to translate outputs to actionable, recommendations for operations teams.
  </li>
  <li>
   Present findings and recommendations to stakeholders through clear, compelling story telling and presentations.
  </li>
  <li>
   Stay current with industry best practices and emerging analytics trends to continuously improve analytics capabilities.
  </li>
  <li>
   Promote and foster a mindset of continuous innovation for internal teams and external partners.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional interpersonal and communication skills to influence stakeholders using clear insights and recommendations.
  </li>
  <li>
   Adept at cultivating strong partnerships.
  </li>
  <li>
   Exceptional thought partnership and engagement abilities with a diverse set of stakeholders and passionate about communicating difficult concepts to non-technical audiences.
  </li>
  <li>
   Experience with guest or customer satisfaction analytics, forecasting, and operational optimization is highly desirable.
  </li>
  <li>
   Strong statistical knowledge: understanding of predictive modeling; experience in feature engineering, confounder identification and amelioration, etc.
  </li>
  <li>
   A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 4+ years of experience in data science, analytics engineering, or a similar data field.
  </li>
  <li>
   Advanced SQL skills, with experience working in complex data environments.
  </li>
  <li>
   Experience with scripting languages, particularly Python.
  </li>
  <li>
   Exceptional analytical and problem-solving skills with a keen attention to detail and desire to think outside the box and innovate
  </li>
  <li>
   Experience with data visualization platforms (e.g., Tableau, Looker, Plotly) is a plus
  </li>
  <li>
   Experience in retail, entertainment, or hospitality sectors is a plus.
  </li>
  <li>
   Enthusiastic about Netflix culture.
   <br/>
   <br/>
  </li>
 </ul>
 Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $280,000.00 - $421,000.00.
 <br/>
 <br/>
 Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
 <br/>
 <br/>
 Netflix is a unique culture and environment. Learn more here.
 <br/>
 <br/>
 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
 <br/>
 <br/>
 We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
</div>


Data Scientist (L4) -  Marketing and Experience DSE

Snap Inc.

<div><div><div>Snap Inc</div> is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company&rsquo;s three core products are <div>Snapchat</div>, a visual messaging app that enhances your relationships with friends, family, and the world; <div>Lens Studio</div>, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, <div>Spectacles</div>.</div><div></div><div>
The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap. Our designers, data scientists, and product managers work in a highly collaborative environment to build the products and experiences that unite our community in new and unique ways.<br>
<br>
We&rsquo;re looking for a Staff Product Manager, Growth &ndash; SEO to join our Product team at Snap Inc.!</div><div></div><div>
What you'll do:</div><ul><li><div>
Develop the product vision, strategy, and roadmap for high‑impact SEO growth areas across logged out web surfaces, including topic and content pages, creator and profile experiences, and entry points that connect search traffic into core Snapchat use cases.</div></li><li><div>
Own the end‑to‑end organic acquisition and reactivation funnel from search impression to DAU, defining and tracking KPIs such as unbranded search traffic, index coverage, click‑through rates, time spent and conversion to new and returning active users.</div></li><li><div>
Partner closely with cross‑functional teams to scale content labeling, retrieval, ranking, and experimentation systems that power SEO.</div></li><li><div>
Build alignment across the company on the SEO vision and roadmap with senior leadership and executives, as well as partners in Product, Engineering, Marketing, Communications, Finance, and other growth channels.</div></li><li><div>
Use data insights, user research, competitive analysis, and design thinking to continuously identify, size, and prioritize new SEO opportunities that materially improve organic traffic and MAU.</div></li><li><div>
Drive the team&rsquo;s roadmaps and execution end‑to‑end &mdash; from strategy and planning to PRDs, design, technical implementation, experimentation, and launch &mdash; authoring clear documentation and sharing results and learnings across Snap.</div></li><li><div>
Ensure SEO investments balance short‑term traffic wins with building a durable, scalable technical foundation that can support 10&ndash;50x growth in pages and traffic over time.</div></li></ul><div></div><div>
Knowledge, Skills, Abilities:</div><ul><li><div>
Deep understanding of search engine optimization, including technical SEO (crawlability, indexability, site architecture, performance), content strategy, and offsite/link‑building practices.</div></li><li><div>
Experience with web and mobile app architecture and how it intersects with SEO, including CDNs, rendering strategies, and structured data.</div></li><li><div>
Proficiency with SEO and analytics tools such as Google Search Console, Google Analytics, and other industry‑standard platforms, along with experimentation frameworks and funnel analysis.</div></li><li><div>
Highly impact‑focused, with a demonstrated history of leading teams to deliver concrete, measurable results on growth or SEO‑related metrics at massive scale.</div></li><li><div>
Extremely proactive, with a track record of initiating and driving complex cross‑functional projects with minimal guidance.</div></li><li><div>
Ability to think creatively and approach problems with system‑level thinking, especially in large‑scale content, ranking, and growth systems.</div></li></ul><div></div><div>
Minimum Qualifications:</div><ul><li><div>
Bachelor&rsquo;s degree or equivalent years of experience.</div></li><li><div>
8+ years of product management experience at a consumer or enterprise technology company.</div></li><li><div>
3+ years of domain experience working on growth and/or SEO in a product management role.</div></li></ul><div></div><div>
Preferred Qualifications:</div><ul><li><div>
5+ years of domain experience working on growth, SEO, or adjacent acquisition channels (e.g., app store optimization, content discovery) in a product management role.</div></li><li><div>
Hands‑on experience with data analysis (e.g., SQL, BigQuery, Looker) to evaluate ROI of growth and SEO initiatives at scale.</div></li><li><div>
BA/BS in Computer Science, Engineering, or a related technical field.</div></li><li><div>
Experience working on large‑scale content, search, or recommendations systems, ideally in consumer social, UGC, or media products.</div></li><li><div>
A passion for Snapchat and our mission to empower people to express themselves, live in the moment, learn about the world, and have fun together!</div></li></ul><div></div><div>
If you have a disability or special need that requires accommodation, please don&rsquo;t be shy and provide us some <div>information</div>.</div><div></div><div>
&quot;Default Together&quot; Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a &ldquo;default together&rdquo; approach and expect our team members to work in an office 4+ days per week.</div><div></div><div>
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.</div><div></div><div>
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).</div><div></div><div><div>
Our Benefits</div>: Snap Inc. is its own community, so we&rsquo;ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap&rsquo;s long-term success!</div><div></div><div>
Compensation</div><div>
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.</div><div></div><div><div>
Zone A (CA, WA, NYC)</div>:</div>
The base salary range for this position is $229,000-$343,000 annually.<div></div><div><div><br>
Zone B</div>:</div>
The base salary range for this position is $218,000-$326,000 annually.<div></div><div><div>
Zone C</div>:</div>
The base salary range for this position is $195,000-$292,000 annually.<div></div>
This position is eligible for equity in the form of RSUs.</div>

Staff Product Manager, Growth – SEO

<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/>
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   Spark Solutions
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  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.
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  <strong>
   Embrace Our Differences
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  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.
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  <strong>
   The Role:
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  Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing.
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  As a DS I on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience.
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  Our team provides Tinder with quantification and understanding of intent, behavior, value, and the potentially complicated ways in which they all interrelate. You will develop frameworks and models for how data should be leveraged in decision making and be a key stakeholder in delivering quantitative tools.&nbsp;
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  An effective DS I at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. In this role, your insights will influence the performance of our business, the experience of our members, and the direction of analytics at Tinder.
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  <strong>
   Where you&rsquo;ll work:
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   This is a hybrid role and requires in-office collaboration two times per week, in LA, SF, or Palo Alto.
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   In this role, you will:
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   Partner closely with Product, Engineering, and Policy to support Integrity initiatives through data analysis, experimentation, and measurement.&nbsp;
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   Analyze user behavior related to Integrity and safety initiatives to inform product decisions. Proactively monitor product performance and provide actionable insights and recommendations to improve user experience
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   Design and analyze experiments or quasi-experiments to test hypotheses and evaluate the impact of Integrity-related features
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   Develop and maintain dashboards and monitoring tools to track key safety and risk metrics
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   Produce clear, data-driven insights and recommendations, and communicate findings to cross-functional stakeholders
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   Support the evolution of metrics and measurement frameworks for Integrity products under guidance from senior team members
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   Contribute to improving data quality, pipelines, and analytical infrastructure related to trust and safety use cases
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  </p>
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   You&rsquo;ll need:
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   Bachelor&rsquo;s degree or equivalent in a quantitative field, Master&rsquo;s degree or PhD with a social science background preferred.&nbsp;
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   1-2 years of professional working experience in Data Science and/or analytics preferred.&nbsp;
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   Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required
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   Familiarity with scripting languages (e.g., Python or R) and applied statistical methods; experience with A/B testing is a plus
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   Exposure to causal inference concepts or methods is a plus
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   Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.&nbsp;
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   Eagerness to identify and explore new product opportunities, potential improvements to our data infrastructure, and unanswered questions about member behavior.&nbsp;
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   Comfort using descriptive and inferential statistics.&nbsp;
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   Curiosity of how things work, from both a business and technical perspective.&nbsp;
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   A collaborative growth mindset with a dedication to community-based projects and partnerships.&nbsp;
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   As a full-time employee, you&rsquo;ll enjoy:
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   Flexible Vacation, 10 annual Sick Days
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   Time off to volunteer and charitable donations matching
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   Comprehensive health, vision, and dental coverage
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   100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
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   100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
  </li>
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   Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development
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   Investment in your wellness: access to mental health support via Modern Health; paid concierge medical membership, pet insurance, ClassPass, Active&amp;Fit Direct fitness membership subsidy, and commuter subsidy
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   Free subscription to Tinder
  </li>
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  <strong>
   Commitment to Inclusion
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  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
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  <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>
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 <p>
  <em>
   #Tinder
  </em>
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 The salary range for this position is $120,000 - $135,000. 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 Los Angeles San Francisco, CA, or 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.&nbsp;
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Data Scientist I, Integrity

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