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senior data scientist

Linktree

<div></div><div><div><div><div>Los Angeles, CA &bull; Australia | Remote. &bull; Melbourne, VIC &bull; Sydney, NSW &bull; San Francisco, CA &bull; Australia</div></div><div></div><div><div>
Engineering</div></div><div></div><div><div>
Remote &bull; Hybrid</div></div><div></div><div><div>
Full-time</div></div></div><div><div><div><b>
The Role</b></div><div></div><div><br>
As a Senior Data Scientist on Linktree&rsquo;s Trust team, you will play a key role in protecting the integrity and health of our platform. You will apply your expertise in data science and statistical modeling to define how we measure harm, assess platform risk, and continuously improve our detection and mitigation systems.</div><div></div><div><br>
In this role, you will build and scale the core measurement framework that underpins Trust at Linktree, establishing clear, defensible definitions of harm prevalence, enforcement effectiveness, and user impact. You will partner closely with Engineering, Product, Policy, Legal, and Operations to identify emerging abuse patterns, size their impact, and ensure our mitigation systems are effective and aligned with our risk tolerance.</div><div></div><div><br>
You will also play a central role in evaluating and strengthening our ML and LLM-based safety systems. This includes defining high-quality ground truth datasets, establishing statistically sound evaluation benchmarks, and implementing monitoring frameworks to ensure model quality and reliability in production. In partnership with Engineering, you will identify failure modes, improve detection quality, and build monitoring frameworks that keep our systems effective as abuse patterns evolve.</div><div>
Your work will directly shape how Linktree understands and prioritize platform risk and measures the effectiveness of its trust and safety investments.</div><div></div><div><b><br>
What You&rsquo;ll Own</b></div><br>
<div></div><ul><li>
Define and operationalize the core Trust metric frameworks that anchors company-wide north star goals and cross-functional team performance</li><li>
Refine and validate the scoring model used to assess Linktree quality and risk, ensuring heuristic logic is measurable, calibrated, and aligned with policy standards</li><li>
Build and maintain production-grade datasets and dashboards that provide reliable visibility into platform risk and system performance</li><li>
Identify and size emerging abuse patterns through deep-dive analysis, and translate findings into clear product, policy, operations and engineering priorities</li><li>
Partner with Engineering to define evaluation frameworks for ML detection and LLM-based safety systems, including ground truth design and performance benchmarking</li><li>
Monitor model health in production (e.g., precision, recall, calibration, drift) and proactively surface degradation, bias, or failure model</li><li>
Support Trust incident response through rapid analysis, impact sizing, and postmortem insights that drive durable improvements</li><li>
Communicate risk trends and model performance insights through clear visualizations and executive-ready narratives</li></ul><div></div><div><b><br>
What You'll Bring</b></div><br>
<div></div><ul><li>
5+ years as a Data Scientist in a product-driven technology company</li><li>
Direct experience in Trust &amp; Safety, Integrity, Fraud, Security, or other risk-focused domains</li><li>
Proven ability to define and operationalize metric frameworks (e.g., Prevalence, Recall, and False Positive Rates) to evaluate the effectiveness of product, policy, or ML-driven interventions</li><li>
Experience evaluating machine learning models, including offline methodology, performance tradeoffs (precision/recall, calibration), and production monitoring</li><li>
Advanced SQL proficiency and fluency in Python (or R) for advanced analytics and modeling</li><li>
Strong foundation in statistics, experimentation design, and causal inference</li><li>
Experience working within mature data platforms and analytics engineering stacks (e.g., DBT, Dagster, Airflow)</li><li>
Experience designing intuitive, decision-oriented dashboards and compelling data visualizations using tools such as Hex, Looker, Tableau, or PowerBI</li><li>
Excellent communication skills with the ability to translate complex statistical findings and risk tradeoffs into clear recommendations for cross-functional stakeholders</li><li>
Bachelor&rsquo;s Degree in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Economics, or related); an advanced degree (MS/PhD) is a strong plus.</li></ul><div></div><div><i><br>
Linktree is committed to providing a fair and competitive compensation package including cash, equity, and benefits. Final offers depend on multiple factors including location, experience, expertise, and role scope, and may vary from the range listed.</i></div><div></div><div><br>
P.S. If you don&rsquo;t tick every box in this listing, please don&rsquo;t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes &ndash; so if this role resonates with you, hit that apply button!</div><div></div><div><b><br>
Our Story</b></div><div></div><div><br>
We&rsquo;re on a mission to empower anyone to curate, grow, and monetize their digital universe. We created the &ldquo;link in bio&rdquo; category &mdash; and we&rsquo;re just getting started. From creators, artists, and entrepreneurs to global brands, we&rsquo;re redefining how people connect with their communities, showcase their content and promote products &mdash; all in one link.</div><div></div><div><br>
Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space.</div><div></div><div><br>
We&rsquo;ve teamed up with some of the world&rsquo;s biggest platforms including TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit, Laylo, and Kajabi, to unify Linkers&rsquo; digital spaces, and we partner with retail brands Amazon, Lululemon, Nike, Target, Sephora, Lululemon, and more to share products they love.</div><div></div><div><br>
We&rsquo;re a tight-knit, passionate team building best-in-class tools that make online presence simple, powerful, and yours. If you're excited by the idea of shaping a new category, setting the standard, and making space for everyone to be seen and succeed, we&rsquo;d love to meet you.</div><div></div><div><b><br>
Where and How We Work</b></div><div></div><div><br>
We're a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We work together flexibly and you can choose the setup that works best for you: fully remote or a hybrid mix of office and home.</div><div></div><div><br>
We offer autonomy in how you structure your days and weeks. While we&rsquo;re mindful of time zones and occasionally collaborate outside the typical 9&ndash;5, we lean into async work to keep things flowing. Our culture is family-friendly and Zoom-casual where kids, pets, and delivery drivers are welcome.</div><div></div><div><b><br>
How we&rsquo;ll help you thrive</b></div><div></div><div><br>
Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together (one of our values). Some ways we support you:</div><br>
<div></div><ul><li>
An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!</li><li>
100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.</li><li>
Employer contribution towards your retirement.</li><li>
Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.</li><li>
Employee stock option program - we want each and every employee to share in the company&rsquo;s success.</li></ul><div></div><div><br>
At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we&rsquo;re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to fully participate in our opportunities, please don't hesitate to reach us at talent@linktr.ee &ndash; your needs are important to us.</div></div></div></div><div></div>

Senior Data Scientist, Trust

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

<div></div><div><div><div><div>Los Angeles, CA &bull; San Francisco, CA</div></div><div></div><div><div>
Engineering</div></div><div></div><div><div>
Hybrid</div></div><div></div><div><div>
Full-time</div></div></div><div><div><div><b>
The Role</b></div><div></div><div><br>
As a Senior Software Engineer on Linktree&rsquo;s Data Platform team, you&rsquo;ll play a crucial role in building a robust, scalable data platform that drives innovative experiences in our core product. Your contributions will unlock new opportunities for our tens of millions of users and our billions of visitors around the world, helping us achieve Linktree&rsquo;s mission: empowering anyone to curate, grow and monetize their digital universe.</div><div></div><div><br>
You&rsquo;ll collaborate with a talented group of ML/AI/Product Engineers, Analysts, Data Scientists and Product Managers and create powerful frameworks, tools, and services that support emerging technologies like semantic search, recommender systems, and content understanding.</div><div></div><div><br>
Now is an exciting time to join our team as we undergo a major transition to a self-serve data platform. With our company experiencing rapid growth, you'll have the opportunity to be at the forefront of this transformative shift, shaping a pivotal part of our data strategy and making a lasting impact on our future success. Help us take the next giant leap in our data journey.</div><div></div><div><b><br>
What You&rsquo;ll Own</b></div><ul><li>
You&rsquo;ll be responsible for the delivery and real-world application of a broad range of data, ML and AI technologies;</li><li>
You&rsquo;ll do hands-on work to continuously level-up our event ingestion, event SDKs, data warehouses, data pipelines and data integrations;</li><li>
You&rsquo;ll design performant, scalable systems that empower our internal teams to self-serve their data needs;</li><li>
You&rsquo;ll contribute to Linktree&rsquo;s experimentation platform; helping teams rapidly experiment with a wide range of ideas;</li><li>
You&rsquo;ll evangelise best practices for data, ML, and AI, and drive adoption across the company.</li></ul><div></div><div><b><br>
Who We&rsquo;re Looking For</b></div><ul><li><b>
Experience:</b> 4+ years of software engineering experience with a strong background in contributing to scalable data platforms. Experience supporting AI/ML systems that scale. Experience with data technologies (e.g. DBT), data warehousing solutions (e.g. Snowflake), and cloud platforms (e.g. AWS).</li><li><b>
Technical Skills: </b>Proficiency in programming languages such as Python, or TypeScript and experience with infrastructure as code tools such as CDK.</li><li><b>
Communication:</b> Excellent interpersonal and communication skills, with the ability to collaborate effectively across teams and present technical concepts to non-technical stakeholders.</li><li><b>
Education:</b> Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field. Advanced degrees or relevant certifications are a plus.</li></ul><div></div><div><i><br>
Linktree is committed to providing a competitive compensation package. Our cash compensation amount for this role is targeted at $180,000-$200,000 in the San Francisco Bay or Los Angeles area. Final offer amounts are determined by multiple factors including candidate expertise, the scope of role and level, and may vary from the amounts listed above.</i></div><div></div><div><br>
P.S. If you don&rsquo;t tick every box in this ad, please don&rsquo;t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes &ndash; so if this role resonates with you, hit that apply button!</div><div></div><div><b><br>
Our Story</b></div><div></div><div><br>
We&rsquo;re on a mission to empower anyone to curate, grow, and monetize their digital universe. We created the &ldquo;link in bio&rdquo; category &mdash; and we&rsquo;re just getting started. From creators, artists, and entrepreneurs to global brands, we&rsquo;re redefining how people connect with their communities, showcase their content and promote products &mdash; all in one link.</div><div></div><div><br>
Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space.</div><div></div><div><br>
We&rsquo;ve teamed up with some of the world&rsquo;s biggest platforms including TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit, Laylo, and Kajabi, to unify Linkers&rsquo; digital spaces, and we partner with retail brands Amazon, Nike, Nordstrom Target, Sephora, Vuori, and more to share products they love.</div><div></div><div><br>
We&rsquo;re a tight-knit, passionate team building best-in-class tools that make online presence simple, powerful, and yours. If you're excited by the idea of shaping a new category, setting the standard, and making space for everyone to be seen and succeed, we&rsquo;d love to meet you.</div><div></div><div><b><br>
Where and How We Work</b></div><div></div><div><br>
We're a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We work together flexibly and you can choose the setup that works best for you: fully remote or a hybrid mix of office and home.</div><div></div><div><br>
We offer autonomy in how you structure your days and weeks. While we&rsquo;re mindful of time zones and occasionally collaborate outside the typical 9&ndash;5, we lean into async work to keep things flowing. Our culture is family-friendly and Zoom-casual where kids, pets, and delivery drivers are welcome.</div><div></div><div><b><br>
How we&rsquo;ll help you thrive</b></div><div></div><div><br>
Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together (one of our values). Some ways we support you:</div><br>
<div></div><ul><li>
An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours!</li><li>
100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees.</li><li>
Employer contribution towards your retirement.</li><li>
Generous time off for vacation, holidays, parental leave, volunteer time, and other categories.</li><li>
Employee stock option program - we want each and every employee to share in the company&rsquo;s success.</li></ul><div></div><div><br>
At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we&rsquo;re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to fully participate in our opportunities, please don't hesitate to reach us at talent@linktr.ee &ndash; your needs are important to us.</div></div></div></div><div></div>

Senior Software Engineer, Data/AI Platform

Tinder

<div>
 <p>
  <strong>
   Our Mission
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Launched in 2012, Tinder&reg; revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, &ldquo;It Starts with a Swipe&rdquo;&trade;"
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our Values
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   One Team, One Dream
  </strong>
 </p>
 <p>
  We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Own It
  </strong>
 </p>
 <p>
  We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Never Stop Learning
  </strong>
 </p>
 <p>
  We cultivate a culture where it&rsquo;s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Spark Solutions
  </strong>
 </p>
 <p>
  We&rsquo;re problem solvers, focusing on how to best move forward when faced with obstacles. We don&rsquo;t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Embrace Our Differences
  </strong>
 </p>
 <p>
  We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Team
  </strong>
 </p>
 <p>
  The Growth Data Science team is looking for curious individuals excited to drive data-informed
 </p>
 <p>
  decision-making at Tinder. We are a strategic partner to the Product team, and will be using our
 </p>
 <p>
  comprehensive datasets to develop experiments, understand metrics, develop automated
 </p>
 <p>
  reports, and generate exploratory insights to guide our business solutions. These insights are
 </p>
 <p>
  key in both the performance of our business and the experience of our members.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role has the opportunity to work on either the User Growth or Growth Platform teams within
 </p>
 <p>
  the Data Science Team. The User Growth team focuses on validating greenspace hypotheses
 </p>
 <p>
  and optimizing the core experience through growth levers and personalization, while the Growth
 </p>
 <p>
  Platform team focuses on optimizing and scaling messaging strategy through strategic channels and personalization. We will work closely with you to define what team would be the best match.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Where you&rsquo;ll work:
  </strong>
 </p>
 <p>
  This position can be located in Los Angeles (preferred), San Francisco, Palo Alto, CA, or Dallas, TX
 </p>
 <p>
  <br/>
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   In this role, you will:
  </strong>
  <li>
   Drive rigorous testing to validate hypotheses and guide business decisions
  </li>
  <li>
   Find the &ldquo;story&rdquo; in the data and readily share insights with product, engineering, and design
  </li>
  <li>
   as well as at a company level
  </li>
  <li>
   Be an authority with a point of view for the organization, using data to constantly challenge
  </li>
  <li>
   and reshape our current understanding of customer behavior and business performance
  </li>
  <li>
   Derive and communicate data-driven recommendations regarding both the prioritization of
  </li>
  <li>
   potential product/marketing initiatives and the performance of current initiatives
  </li>
  <li>
   Define and operationalize the detailed tracking of company-wide, team-specific, and product-
  </li>
  <li>
   specific performance metrics via rollout tables, dashboards, and automated reporting
  </li>
  <p>
   <br/>
  </p>
  <strong>
   You&rsquo;ll need:
  </strong>
  <li>
   Bachelor&rsquo;s degree in a quantitative field, Master&rsquo;s degree, or PhD with a social science background preferred
  </li>
  <li>
   2-4 years of professional working experience in Data Science and/or analytics
  </li>
  <li>
   Familiarity with two sided consumer ecosystem, specifically in the context of consumer technology
  </li>
  <li>
   Experience with SQL, data visualization tools (e.g., Tableau or Mode)
  </li>
  <li>
   Hands on experience in designing and implementing experiments (e.g. randomized testing, A/B testing) to drive key product decisions is required
  </li>
  <li>
   Familiarity with Python/R, using descriptive and inferential statistics and machine learning models
  </li>
  <li>
   Demonstrated ability to collaborate effectively with design, product, and engineering
  </li>
  <li>
   teams to advance key business initiatives from conceptualization to final product delivery
  </li>
  <li>
   Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data
  </li>
  <li>
   Ability to present data, actionable insights, technical concepts and approaches to technical and non-technical audiences
  </li>
  <p>
   <br/>
  </p>
  <strong>
   Differentiators:
  </strong>
  <li>
   Curiosity of how things work, from both a business and technical perspective, which could result in identifying and exploring new product opportunities, potential improvements to our data infrastructure, and diving deeply into understanding member behavior
  </li>
  <li>
   Proactive collaborator skilled in engaging with cross-functional teams (Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives
  </li>
  <li>
   Ability to prioritize time across multiple projects and communicate timelines
  </li>
  <p>
   <br/>
  </p>
  <strong>
   As a full-time employee, you&rsquo;ll enjoy:
  </strong>
  <li>
   Unlimited PTO (with no waiting period), 10 annual Wellness Days
  </li>
  <li>
   Time off to volunteer and charitable donations matching&nbsp;
  </li>
  <li>
   Comprehensive health, vision, and dental coverage
  </li>
  <li>
   100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
  </li>
  <li>
   100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
  </li>
  <li>
   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
  </li>
  <li>
   Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
  </li>
  <li>
   Free premium subscriptions for several Match Group apps &ndash; including Tinder Platinum!
  </li>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <span>
   #Tinder
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Commitment to Inclusion
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;https://www.lifeattinder.com/dei
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   #Tinder
  </em>
 </p>
 <br/>
 <br/>
 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 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.
</div>


Data Scientist II, Growth

Baker Tilly

<div><h1 class="jobSectionHeader"><b>Overview</b></h1><p></p><p>
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world&rsquo;s leading financial centers &ndash; New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.</p><p>
Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.</p><p></p><p>
Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.</p><p></p><p><i>
Baker Tilly is an equal </i><i>opportunity/affirmative</i><i> action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.</i></p><p></p><p><i>
Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency (&quot;search firm&quot;) for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.</i></p><p></p><h1 class="jobSectionHeader"><b>
Job Description:</b></h1><p><br>
The <b>Senior Manager of Applied AI </b>will be focused on all our service lines, acting as the lead for the design, delivery, and adoption of automation and AI solutions that transform how our firm delivers services.</p><p><br>
This role places a strong emphasis on supporting our service line leadership, drawing on deep expertise in audit, risk, and engagement delivery. It also provides strategic support to Consulting initiatives across our Managed Services and traditional consulting practices.<br>
<br>
The ideal candidate blends expertise with hands-on technical curiosity &mdash; someone who can lead a distributed development team while actively experimenting with modern automation and AI tools to drive innovation and measurable business impact.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Lead a team of ~6 developers (majority India-based) delivering AI and automation solutions across Assurance and Consulting.</li><li>
Act as Product Owner / Delivery Lead &ndash; manage backlog, plan sprints, ensure quality delivery, and drive adoption.</li><li>
Translate Assurance and Consulting workflows into clear user stories and functional requirements.</li><li>
Be hands-on: prototype solutions, test AI and automation tools, and collaborate with developers on proof-of-concepts.</li><li>
Collaborate with architecture, platform, and data teams to align with firm standards and governance frameworks.</li><li>
Build and manage relationships with vendors and startups; evaluate solutions, conduct proofs-of-concept, and recommend paths forward.</li><li>
Present solution roadmaps, vendor recommendations, and outcomes to executive stakeholders.</li><li>
Partner with service-line leaders to identify, prioritize, and measure ROI for automation and AI opportunities.</li><li>
Oversee QA, testing, deployment, and documentation to ensure quality and consistency.</li><li>
Champion adoption through communication, training, and showcasing early wins across the firm.</li><li>
Stay current on emerging technologies (GenAI, RAG, workflow orchestration, ML, automation frameworks) and translate them into practical use cases.</li></ul><p></p><p><b>
Qualifications</b></p><ul><li>
Bachelor&rsquo;s in Accounting, Computer Science, or related field; CPA preferred.</li><li>
6&ndash;8 years experience in Assurance, Consulting, or Risk within a large accounting or professional services firm.</li><li>
Exposure to Consulting environments (Managed Services and/or traditional consulting engagements).</li><li>
CPA preferred.</li><li>
3&ndash;4 years leading technology projects, ideally with some hands-on involvement in solution design or prototyping.</li><li>
Proven experience managing distributed and offshore teams (India).</li><li>
Strong understanding of automation and AI technologies (e.g., RPA, Python, GenAI frameworks, Databricks, LangChain, Javascript, or workflow tools).</li><li>
Experienced in leveraging AI based code tools to produce proof of concepts.</li><li>
Github repository displaying side projects and self-study courses on AI and software development.</li><li>
Skilled in agile delivery (Scrum Master or Product Owner certification a plus).</li><li>
Experience evaluating vendors and managing external partnerships.</li><li>
Excellent executive communication and presentation skills.</li></ul><p></p><h3 class="jobSectionHeader"><b><i>
The compensation range for this role is $141,350 to $267,950. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.</i></b></h3></div>

Senior Manager, Applied AI

<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

Vaco by Highspring

<div>
 Senior Financial Analyst - Sr. Financial Analyst - SFA - Investment Banking - IB - NPV - Discount Cashflow - LBO - M&amp;A - Mergers - Acquisitions - Risk - Investments - Financial Modeling
 <br/>
 <br/>
 Are you an experienced Analyst that comes investment banking, consulting, valuations, or strategic finance who is looking to work for a growing company that has a lot of flexibility? If so, then read more about a Senior Financial Analyst role that we are working on below.
 <br/>
 <br/>
 A growing company with multiple locations is looking for a Senior Financial Analyst to add to their team in this newly created position. The Senior Financial Analyst will be responsible for strategic finance, financial modeling, growth and investment analysis, presenting to leaders, and performance analysis. To be successful in this role, the Senior Financial Analysis must be analytical, have great communication, and be able to work independently in as well as a team. Does this sound like you or someone you know? If so, then please read the full Senior Financial Analyst job description below to see if this could be a good match for you or someone you know!
 <br/>
 <br/>
 What do you need for this Senior Financial Analyst role?
 <ul>
  <li>
   Bachelor's Degree in Finance or related field
  </li>
  <li>
   5+ years of finance experience
  </li>
  <li>
   MUST have investment banking or consulting
  </li>
  <li>
   MUST have very advanced Excel
  </li>
 </ul>
 What will you do in this Senior Financial Analyst role?
 <ul>
  <li>
   Contribute to the organization's long-term financial planning process.
  </li>
  <li>
   Develop and maintain financial models.
  </li>
  <li>
   Provide financial analysis and scenario planning for major initiatives.
  </li>
  <li>
   Assist with financial analysis related to potential acquisitions and growth opportunities.
  </li>
  <li>
   Track and evaluate financial performance following new site launches or acquisitions.
  </li>
  <li>
   Prepare financial summaries to support leaders in evaluating investments.
  </li>
  <li>
   Work with departments leaders and centralized teams to collect relevant data, confirm forecasting assumptions, and ensure reliable financial reporting.
  </li>
  <li>
   Present analytical insights for leadership presentations and cross-departmental discussions.
  </li>
  <li>
   Respond to ad hoc requests from executives.
  </li>
  <li>
   Review weekly and monthly financial results to identify trends, monitor KPIs, and evaluate return on investment for initiatives.
  </li>
  <li>
   Use data-driven analysis to highlight potential risks, uncover opportunities, and recommend operational improvements.
  </li>
  <li>
   Maintain and enhance dashboards, standardized reporting tools, and recurring financial deliverables.
   <br/>
  </li>
 </ul>
 What is in this Senior Financial Analyst role from you?
 <ul>
  <li>
   Opportunity to join a growing organization
  </li>
  <li>
   Will get exposure to many areas of finance
  </li>
  <li>
   Great work life balance
  </li>
  <li>
   Mostly remote position
  </li>
 </ul>
 So, if you are a Investment Banker, Strategic FP&amp;A Consultant, or Senior Valuations Associate who is looking for a strategic role that is mainly remote then we want to see your resume. Please send your resume over for this Senior Financial Analyst role as we would love to connect with you!
</div>


Senior Financial Analyst x 150K - 170K x LA / flex

Explore 379+ Senior data scientist in Los Angeles this March. Find roles across top companies and apply now to boost your career.