data scientist

financial analyst

account manager

account coordinator

ad marketing manager

analytics specialist

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
The Mailchimp Customer Success (CS) Data Science &amp; Analytics team empowers exceptional customer experiences across digital and expert-led channels by delivering insights, experimentation, and predictive analytics that drive measurable business impact. We partner closely with Customer Success, Product, Data Engineering, and Operations teams to improve customer engagement, retention, and long-term success for Mailchimp&rsquo;s small and mid-market customers.
As a Senior Data Scientist, you will be a highly independent individual contributor responsible for driving end-to-end analytical work on high-impact Customer Success initiatives. You will apply strong analytical judgment, experimentation, and modeling skills to help teams understand what works, why it works, and how to improve outcomes across the customer lifecycle. 
This role is ideal for a data scientist who thrives in ambiguous problem spaces, enjoys partnering closely with stakeholders, and wants to deepen their impact through Customer Success data science at scale. 
Responsibilities
Own and execute end-to-end analytical projects that support Mailchimp Customer Success initiatives, from problem framing to insights and recommendations.
Partner with Customer Success, Product, and Operations stakeholders to define success metrics, evaluate program effectiveness, and guide data-informed decisions.
Design, run, and interpret experiments, including A/B tests and quasi-experimental analyses, to measure the impact of CS programs and interventions.
Develop analytical models and customer insights that inform engagement, retention, customer health, and support effectiveness.
Analyze large, complex datasets to uncover trends, risks, and opportunities across the customer lifecycle.
Create clear, actionable narratives and visualizations that communicate findings to technical and non-technical audiences.
Contribute to scalable measurement solutions and reusable analytical assets in partnership with Data Engineering.
Support data quality, metric consistency, and documentation efforts, especially during platform or data migrations.
Collaborate with AI/ML and Product teams to evaluate the impact of AI-enabled customer experiences. 
Role-model Intuit&rsquo;s &ldquo;Win Together&rdquo; value through strong cross-functional collaboration and knowledge sharing. 
Qualifications
4&ndash;7 years of experience in data science, analytics, or product analytics, with demonstrated ownership of impactful analytical projects.
Strong foundation in statistics and experimentation, including experience designing and interpreting A/B tests and observational analyses.
Proficiency in SQL and Python for data analysis and modeling (e.g., pandas, numpy, scikit-learn, statsmodels).
Experience working with large datasets and translating analysis into actionable business insights.
Ability to operate independently while partnering effectively with cross-functional stakeholders.
Strong communication skills, with the ability to explain analytical results clearly and concisely.
Bachelor&rsquo;s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Data Science, or related); advanced degree a plus.
Preferred:
Experience in SaaS, fintech, marketing technology, or SMB-focused products.
Familiarity with Customer Success or go-to-market analytics (e.g., churn, retention, customer health, lifecycle engagement).
Experience with causal inference techniques beyond basic experimentation (e.g., matching, DiD).
Familiarity with BI and visualization tools (e.g., Tableau, Looker, Power BI).
Experience building reusable analytical workflows and working with version control (git). 
Exposure to AI/ML or LLM-enabled analytics or customer-facing use cases. 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
New York $ 160,000.00 - 216,500.00</div>

Mailchimp Customer Success - Senior Data Scientist

Criteo

<div>
 What You'll Do:
 
 
 <ul>
 <li>
 Partner with commercial stakeholders to deliver client-facing business reviews, including performance deep-dives, advanced analyses, optimization recommendations, and forecasting strategies that drive incremental revenue
 </li>
 <li>
 Design, manage, analyze, and communicate results of controlled A/B tests
 </li>
 <li>
 Create and share market trends and benchmarks to support strategic planning
 </li>
 <li>
 Collaborate with Product Analytics to execute on performance-improving initiatives
 </li>
 <li>
 Influence the Product Roadmap by synthesizing client needs into clear, data-backed recommendations for product and R&amp;D teams
 </li>
 <li>
 Leverage the partnership with our Global Client Operations Center to standardize and automate recurring workflows, freeing time for deeper strategic analyses
 </li>
 <li>
 Develop subject matter expertise in multiple growth areas, serving as a go-to resource for the team and building high-impact, client-facing collateral
 </li>
 <li>
 Troubleshoot and resolve campaign delivery and performance issues in time-sensitive, high-impact scenarios, proactively reframing underperformance conversations with clear narratives, root-cause analysis, and concrete action plans.
 </li>
 <li>
 Stay informed of industry advancements in AdTech, analytics, forecasting, and attribution
 </li>
 <li>
 Effectively communicate project timelines, risks, and results to stakeholders
 
 
 
 </li>
 </ul>
 Who You Are:
 
 
 <ul>
 <li>
 Minimum 3+ years of full-time, analytics-relevant experience
 </li>
 <li>
 Bachelor&rsquo;s degree in a quantitative field or equivalent practical experience; advanced degree a plus
 </li>
 <li>
 Native-level English fluency
 </li>
 <li>
 Proven ability to independently structure analyses and provide strategic recommendations that influence business outcomes
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to manipulate complex data sets, identify patterns, and develop actionable insights at scale
 </li>
 <li>
 Skilled in data storytelling and crafting impactful presentations for both technical and non-technical audiences
 </li>
 <li>
 Conceptual and practical understanding of statistics, A/B testing, and experimental design
 </li>
 <li>
 Proficiency in SQL, Python, and Tableau for automating analyses and creating compelling visualizations
 </li>
 <li>
 Demonstrated ability to manage multiple stakeholders, set expectations, prioritize, and drive alignment across cross-functional teams
 </li>
 <li>
 Comfortable with ambiguity; able to evaluate trade-offs across multiple analytics approaches and recommend the most impactful path
 </li>
 <li>
 A proactive, collaborative teammate who can also lead projects and knowledge-sharing initiatives within the team
 
 
 
 </li>
 </ul>
 We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we&rsquo;d love to see your application!
 
 
 Who We Are:
 
 
 Criteo is a leader in commerce media, helping brands, agencies, and publishers create meaningful consumer connections through AI-powered advertising solutions. We&rsquo;re shaping a more open and sustainable digital future for advertising.
 
 
 At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.
 
 
 We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs&mdash;never on non-job-related factors or legally protected characteristics.
 
 
 What We Offer:
 
 
 🏢 Ways of working &ndash; Our hybrid model blends home with in-office experiences, making space for both.
 
 
 📈 Grow with us &ndash; Learning, mentorship &amp; career development programs.
 
 
 💪 Your wellbeing matters &ndash; Health benefits, wellness perks &amp; mental health support.
 
 
 🤝 A team that cares &ndash; Diverse, inclusive, and globally connected.
 
 
 💸 Fair pay &amp; perks &ndash; Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.
 
 
 Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.
 
 
 For employees based in the US, certain roles at Criteo are eligible for additional rewards, including quarterly or annual bonus and restricted stock units. US-based employees receive access to healthcare, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, life insurance, family forming and wellness benefits, Flexible Work financial support, learning opportunities, and a robust annual leave plan including volunteer time off and summer vacation days.
 
 
 The US base salary pay range for this position per year is:
 
 
 $94,900 - $117,000
</div>

Data Analyst II

<div>
 
 
 
 
 Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
 
 
 
 
 
 
 
 
 
 Who We Are&hellip;
 
 
 
 
 
 When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the
 
 storytellers
 
 bringing our characters to life, the
 
 creators
 
 bringing them to your living rooms and the
 
 dreamers
 
 creating what&rsquo;s next&hellip;
 
 
 
 
 
 
 From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
 
 
 
 
 
 We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
 
 
 
 
 
 To see what it&rsquo;s like to work at&nbsp;CNN, follow @WBDLife on&nbsp;
 
 Instagram
 
 &nbsp;and&nbsp;
 
 X
 
 !
 
 
 
 
 
 We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS. We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.
 
 
 
 
 
 
 Your New Role...
 
 
 
 &nbsp;
 
 
 
 
 The Staff Data Analyst, Audience Analytics &amp; Insights, will lead efforts to deepen CNN&rsquo;s understanding of audience discovery and growth across established and emerging platforms. In this role, you will lead the team&rsquo;s understanding of which audiences engage with CNN across platforms and which channels drive new audience growth, informing editorial, product, revenue and marketing strategies. As an individual contributor, you will serve as a technical mentor and QA lead for the analyst team, ensuring analytical rigor and consistency across deliverables.
 
 
 Your Role Accountabilities...
 
 
 The Staff Data Analyst will:
 <ul>
 <li>
 Lead ongoing analysis to identify opportunities for audience growth, including through search, generative AI platforms, social platforms, newsletters, and more.
 </li>
 <li>
 Partner with editorial, product, and marketing teams to translate audience analytics and insights into strategic recommendations.
 </li>
 <li>
 Regularly assess the impact of audience development initiatives.
 </li>
 <li>
 Serve as technical mentor and QA lead for the analyst team on web/app traffic trends, reviewing analytical methodologies, SQL queries, and dashboards to ensure accuracy and consistency.
 </li>
 <li>
 Demonstrated ability to analyze and interpret web and app traffic patterns, identify data quality issues, and collaborate with technical partners to clarify and resolve discrepancies.&nbsp;
 </li>
 <li>
 Develop and maintain a regular practice of landscape and competitive analytics that helps inform deliverables like benchmarking and forecasting to inform strategic planning and growth targets.
 </li>
 <li>
 Develop frameworks and reporting tools to monitor audience growth, segmentation, and discovery across platforms.
 </li>
 <li>
 Collaborate with the Senior Director to shape analytics roadmaps and OKRs aligned with business priorities.
 </li>
 <li>
 Present findings and recommendations to stakeholders in clear, compelling formats connected to the business impact.
 </li>
 </ul>
 
 Qualifications &amp; Experience...
 
 <ul>
 <li>
 5+ years in digital analytics, audience insights, or audience development strategy.
 </li>
 <li>
 Strong command of SQL, experience with large datasets and ability to collaborate with data engineers to design and validate data pipelines. Experience with dbt is a plus but not required.&nbsp;
 </li>
 <li>
 Experience with SEO tools (e.g., Google Search Console, SEMrush, Ahrefs) and social analytics aggregation or owned platforms.
 </li>
 <li>
 Proven ability to evaluate experimental results.
 </li>
 <li>
 Proven ability to identify and estimate the potential drivers of audience growth.
 </li>
 <li>
 Proficiency in data visualization tools (e.g., Tableau, Looker, Power BI).
 </li>
 <li>
 Proficiency in digital analytics tools (e.g., Adobe Analytics, Google Analytics, Chartbeat, Parse.ly).
 </li>
 <li>
 Proven ability to develop and lead QA processes.
 </li>
 <li>
 Excellent communication skills and stakeholder management experience.
 </li>
 <li>
 Ability to thrive in a fast-paced, collaborative environment.
 </li>
 <li>
 Strategic thinker with a hands-on approach to problem-solving.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 How We Get Things Done&hellip;
 
 
 
 
 
 
 
 This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 www.wbd.com/guiding-principles/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
 
 
 
 
 
 
 
 Championing Inclusion at WBD
 
 
 
 Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
 
 
 
 
 
 
 If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
 
 accessibility page
 
 for instructions to submit your request.
 
 
 
 
 
 
 In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $98,000.00 - $182,000.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
 
 
 
 
 
</div>

Staff Data Analyst, Audience Analytics & Insights - CNN Digital Products & Services

Shake Shack

<div><div><div><div>225 Varick Street, Suite 301, New York NY 10014, United States
 </div><div>9000 SS - NY - Home Office
</div></div><div><div><div>Our secret to leading the way in hospitality? We put our people first!
At Shake Shack, our mission is to Stand For Something Good in all that we do. From our teams to our neighborhoods, we're committed to always doing the right thing. As one of the fastest-growing hospitality brands, we're all about crafting unforgettable experiences for our guests. We offer endless learning opportunities and the chance to make a lasting impact on our business, restaurants, and communities. As a member of the #ShackFam, you&rsquo;ll have access to hands-on mentorship, training, and growth potential, all in a fun and inclusive environment.
Join us and Be a Part of Something Good.
Job Summary
The Senior Manager, Media Measurement &amp; Analytics will lead the development of advanced marketing measurement capabilities to evaluate media effectiveness and optimize marketing investment across channels. This role will partner closely with digital marketing, data, and insights teams to translate complex data into actionable insights that improve campaign performance and drive measurable business outcomes.
The ideal candidate brings strong analytical expertise in marketing analytics and media measurement, including experience with Marketing Mix Modeling (MMM), attribution, and performance analytics. This role requires both technical analytical skills and the ability to communicate insights clearly to cross-functional stakeholders.
Key Responsibilities<ul><li>
Lead the development and implementation of marketing measurement frameworks to evaluate the effectiveness of media investments across digital and traditional channels.</li><li>
Partner with marketing teams to analyze campaign performance and deliver actionable insights that improve ROI and drive business growth.</li><li>
Support and manage Marketing Mix Modeling (MMM) initiatives to understand the contribution of media, promotions, and external factors to sales performance.</li><li>
Develop and maintain dashboards and reporting tools that track media performance, marketing KPIs, and business impact.</li><li>
Analyze digital marketing performance across channels including paid media, social, search, and programmatic campaigns.</li><li>
Partner with Consumer Insights, Data Science, and Finance teams to connect marketing activity with guest behavior and restaurant sales outcomes.</li><li>
Leverage CRM, loyalty, and digital ordering data to identify trends and improve targeting strategies and marketing effectiveness.</li><li>
Translate complex analytical findings into clear insights and recommendations for marketing and senior leadership.</li><li>
Support testing frameworks including campaign experimentation, incrementality testing, and A/B testing.</li><li>
Champion data-driven decision making across marketing and analytics teams.</li><li>
Partner with media vendors to steer analytics requirements and oversee data gathering and governance</li><li>
Assist in architecting tests and validate partner results</li></ul>
Qualifications<ul><li>
7&ndash;10 years of experience in marketing analytics, media measurement, or data analytics roles.</li><li>
Strong experience with marketing analytics techniques including Marketing Mix Modeling (MMM), attribution, or incrementality testing.</li><li>
Experience working with large datasets and analytics tools such as SQL, Python, R, or similar.</li><li>
Proficiency with BI tools such as Tableau, Power BI, or similar visualization platforms.</li><li>
Strong understanding of digital media channels and marketing performance metrics.</li><li>
Experience working cross-functionally with digital marketing, data, and insights teams.</li><li>
Strong communication and storytelling skills to translate complex data into actionable insights.</li><li>
Experience in QSR, retail, ecommerce, or consumer brands preferred.</li><li>
Bachelor&rsquo;s degree in Analytics, Statistics, Economics, Marketing, or related field; advanced degree preferred.</li></ul>
What Success Looks Like<ul><li>
Establish robust marketing measurement capabilities that clearly quantify media impact on sales and guest engagement.</li><li>
Improve marketing ROI through data-driven optimization of media investments.</li><li>
Provide clear and trusted analytics that guide marketing strategy and campaign decisions.</li><li>
Strengthen collaboration between marketing, insights, and analytics teams.</li></ul>
Benefits at Shake Shack:
A work environment where you can come as you are, share your ideas, have fun, and work collaboratively:<ul><li>
Weekly Pay and Performance bonuses</li><li>
Shake Shack Meal Discounts</li><li>
Exclusive corporate discounts for travel, electronics, wellness, leisure activities and more</li><li>
Medical, Dental, and Vision Insurance*</li><li>
Employer Paid Life and Disability Insurance*</li><li>
401k Plan with Company Match*</li><li>
Paid Time Off*</li><li>
Paid Parental Leave*</li><li>
Access to Employee Assistance Program on Day 1</li><li>
Pre-Tax Commuter and Parking Benefits</li><li>
Flexible Spending and Dependent Care Accounts*</li><li>
Development and Growth Opportunities</li></ul><ul><li>Eligibility criteria applies</li></ul>
Pay Range - $121,650.00 - $159,650.00 
About Us
Beginning as a hot dog cart in New York City&rsquo;s Madison Square Park, Shake Shack was created by Danny Meyer, Founder and CEO of Union Square Hospitality Group and best-selling author of Setting the Table. Shack Fans lined up daily, making the cart a resounding success, and donating all proceeds back to the park beautification efforts. A permanent stand was eventually built&hellip;and the rest is Shack history! With our roots in fine dining and giving back to the community, we are committed to high quality food served with a high level of hospitality. Our team members enjoy a positive work environment that is deeply committed to the philosophy that we &quot;Stand for Something Good.&quot;
Shake Shack is an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to any protected characteristic, including race, color, ancestry, national origin, religion, creed, age, disability (mental and physical), sex, gender identity, sexual orientation, gender expression, medical condition, genetic information, marital, military and veteran status.</div> 
</div></div>
</div><h3 class="jobSectionHeader">Job Details</h3>
<div>
<div>Job Category:
Support Center
</div><div>Position Type:
Full Time
</div><div>Job ID:
JR12139</div></div></div>

Senior Manager, Media Measurement & Analytics

BlackRock

<div>
 
 About This Role
 
 
 
 Join a diverse and collaborative team of over 300 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin&rsquo;s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise.
 
 
 
 Role Description
 
 
 
 We are looking for a person to join the Advanced Data Analytics team within AFE Single Security. Advanced Data Analytics is a team of Quantitative Data Specialists, focused on delivering Research &amp; Derived Data, Governance and Research Platform. The team leverages data, cloud, and emerging technologies to deliver research and production data/data solutions, for core analytics and investment teams, in the Single Security space. The team uses various statistical/mathematical methodologies to derive insights and generate content to help develop predictive models, clustering, and classification solutions and enable Governance. The team works on Mortgages, Structured Products, Credit Products, and Private Markets.
 
 
 We are looking for a person to work on our Structured Product space as well as focus on public structured products. The individual will contribute as SME on structured products. The person will leverage Big Data technologies, Data platforms like Snowflake, Databricks to build out comprehensive analytics offering backed by enhanced data as well as leverage AI for efficiency and agentic automation. The person will partner with Investment teams and clients to help generate Investment Intelligence.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication t abilities.
 </li>
 <li>
 Experience in Scala &amp; Functional Programming
 </li>
 <li>
 Knowledge of ETL, data curation and analytical jobs
 </li>
 <li>
 Experience leveraging distributed computing framework with Spark
 </li>
 <li>
 Basic knowledge of financial instruments like Bonds, Derivatives etc.
 </li>
 <li>
 Basic knowledge of statistical methodologies
 </li>
 <li>
 Knowledge and Experience of working with large enterprise databases like Snowflake, Cassandra
 </li>
 <li>
 Experience in cloud managed services like Dataproc, Databricks is a plus
 </li>
 <li>
 Experience in Python is a plus
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master's in computer science with a minor in Math, Econ, or related field
 </li>
 <li>
 3+ years of relevant experience
 
 
 </li>
 </ul>
 For New York, NY Only the salary range for this position is USD$137,500.00 - USD$170,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
 
 
 
 Our Benefits
 
 
 
 To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
 
 
 
 Our hybrid work model
 
 
 
 BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
 
 
 
 About BlackRock
 
 
 
 At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
 
 
 This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
 
 
 For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
 
 
 BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
 
 View the
 
 
 EEOC&rsquo;s Know Your Rights poster and its supplement
 
 
 and the
 
 
 pay transparency statement.
 
 
 
 BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our
 
 privacy policy
 
 .
 
 
 BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
</div>

Data Engineer, Associate - Aladdin Financial Engineering

Roku

<div>
 
 Teamwork makes the stream work.
 
 
 
 
 
 
 Roku is changing how the world watches TV
 
 
 
 Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 
 
 From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
 
 
 
 
 
 
 
 
 
 About the team
 
 
 
 The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.
 
 
 
 
 
 
 
 
 
 About the role
 
 
 
 Roku is looking for a Data Scientist to join the Core Analytics team and provide support for our Customer Intelligence function, part of the broader Planning &amp; Optimization team. Together, we answer high-impact business questions from senior leaders with clear, decision-ready insights. You&rsquo;ll work on customer analytics that directly shape how Roku grows engagement, retention and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions.
 
 
 
 
 
 This role is more than analytics and is intentionally &ldquo;business-forward&rdquo;. We're looking for someone who can translate customer behavior into metrics and narratives which can help define our customer strategy, and/or measure the impact of initiatives on customer behavior. You&rsquo;ll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. Familiarity with causal inference/experimentation is important; deep specialization is a plus but not required. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of NYC.
 
 
 For New York Only - The estimated annual salary for this position is between $135,000-$153,000 annually.
 
 
 
 
 
 Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
 
 
 
 
 
 
 
 
 
 What you'll be doing
 
 
 <ul>
 <li>
 Own end-to-end analyses: scope the question, define success metrics, pull data, analyze, synthesize, and deliver data-driven narratives.
 </li>
 <li>
 Drive stakeholder alignment: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable.
 </li>
 <li>
 Build crisp storytelling &amp; presentations: create executive-ready readouts (slides, memos) with clear &ldquo;so what / now what.&rdquo;
 </li>
 <li>
 Develop SQL and Python-based workflows: write and review SQL/Python code to create datasets, compute KPIs, and validate results; use Airflow to maintain and build new pipelines when needed.
 </li>
 <li>
 Create reporting in Tableau/Looker: develop dashboards or recurring scorecards that make performance tracking easier and reduce ad-hoc churn.
 </li>
 <li>
 Measurement &amp; causal thinking: apply or partner on quasi-experimental approaches (e.g., diff-in-diff, propensity matching, synthetic controls) with appropriate caveats to address incrementality questions.
 </li>
 <li>
 Raise analytical quality: ensure statistical rigor, bias awareness, and clear limitations.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 We're excited if you have
 
 
 <ul>
 <li>
 3+ years (or equivalent) in analytics/data science roles driving business decisions (tech, media, marketplaces, consumer products, etc.).
 </li>
 <li>
 Strong SQL (joins, window functions, building analysis-ready tables, QA/validation).
 </li>
 <li>
 Proficiency in Excel to work with data, tables and visualization.
 </li>
 <li>
 Strong ability to communicate insights: structured thinking, clear writing, confident presenting to non-technical and executive audiences.
 </li>
 <li>
 Solid foundation in statistics (hypothesis testing, confidence intervals, regression basics).
 </li>
 <li>
 Experienced with Python for analysis and data pipeline production (via Airflow).
 </li>
 <li>
 Hands-on experience with visualization tools like Tableau or Looker
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our Hybrid Work Approach
 
 
 
 Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
 
 
 
 
 
 
 
 
 
 Benefits
 
 
 
 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 
 
 
 
 
 
 
 
 
 Accommodations
 
 
 
 Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 
 
 
 
 
 
 
 
 
 The Roku Culture
 
 
 
 Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 
 
 We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 
 
 To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 
 
 
 
 
 By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 
</div>

Data Scientist

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li><div><div><div>10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.</div></div></div></li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
The Workspace Collaboration Data Science team empowers product teams for Drive, Docs, Sheets, Slides, Vids (and more) through development of key metrics, data-driven insights, modeling, experimentation and other forms of causal inference to grow product adoption and AI usage.
The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Define, own and evolve product success metrics. Report, analyze and forecast trends of key product metrics and make recommendations to improve them.</li>
<li>Lead the design, analysis, and interpretation of product experiments. Proactively perform data exploration to understand user behavior and identify opportunities for improving and growing Workspace products.</li>
<li>Apply technical expertise with observational data analysis, modeling, and causal inference to answer the most important product questions.</li>
<li>Partner with Product, Engineering, UX and cross-functional teams to influence, prioritize and support product strategy.</li>
<li>Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Product Data Scientist, Workspace Collaboration Data Science

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