Quantitative Research Intern Jobs

Small Girls PR is looking for a Director of Influencer and PR with 7-8+ years of experience to manage overarching strategy and client relationships, concept novel initiatives that drive social virality and press headlines, manage deliverables for integrated campaigns, as well as oversee a team of talented junior staffers. This role will work with a wide range of creative and innovative brands across food & beverage, wellness, consumer tech, and more There is no one-size-fits-all for an SGPR client which means your career will be further enriched with meaningful and diversified experience. We've taken on the main stage at CES, announced Esusu as one of the first Black-owned tech unicorns, cheered on the powerful women of the WNBA with a well known ticketing platform, helped pet owners communicate with their dogs through a psychic for Rover, and piloted influencer marketing programs for B2B brands. This team concepted “Ring’s Great Ghost Search,” a lighthearted campaign calling on consumers to capture ghosts on their home cameras. By enlisting Stranger Things star Finn Wolfhard and an array of comedic influencers to participate, the campaign drove mass awareness and broad positive sentiment across earned media and social channels. Note: This role can be based in either our NYC or LA office, working two days a week in the office on a hybrid schedule. How you’ll make an impact: Drive long-term strategy and create tentpole campaigns for a range of clients on both retrainer and project-based engagements. You’ll manage expectations and set goals, timelines, and deliverables, with responsibility for meeting or exceeding client KPIs - both qualitative and quantitative. Originate out-of-the-box ideas that strengthen client’s marketplace positioning and earn attention - whether through press placements or through earned talkability above and beyond paid influencer deliverables. Collaborate across disciplines to create and execute integrated campaigns. Based on the cl

Here's a summary of the role Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground up. We're rebuilding the internal product our teams use to measure product success and end-user value across all our 24+ products in four business units. You'll design the single source of truth: the metric definitions, the telemetry standards, the data contract engineering instruments against, the change governance processes and tooling, and the models that turn behaviour into portfolio insight. You'll educate and support the teams using this internal behavioural data product to set expectations and and plot a rational roadmap for the maturing of this product, helping our user to use the data honestly and wisely. Usage tells you what happened, not why, or whether it mattered. We want someone who sets quantitative behaviour against qualitative evidence and treats the disagreement as the interesting part. AWS/Snowflake is our spine; capture and BI are open decisions you'll help make. Your models feed the business reviews our executive team, CTO and investors use to run the portfolio, and engineering is committed to instrument against your contract. Here's what your first twelve months should look like First 90 days. Learn the estate, meet the engineers who instrument it, and agree the measurement model for one product end to end — with a defensible adoption number and the qualitative read on what it means. Three to six months. Data contract published, instrumentation spec landed with engineering, first business unit building against it. Definitions, naming and versioned change control governed. Six to twelve months. Rolling out across the remaining business units through the BU-aligned analysts, portfolio reporting running on your numbers. Here's a breakdown of what you'll do (not all

#Team Nextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 350,000 neighborhoods across 11 countries. Meet your Future Neighbors As an Analytics Engineer 4 with Nextdoor, Inc. (San Francisco, CA) (May telecommute from any U.S. location) you’ll: Apply mathematical or statistical theory and methods to design, create, and select the appropriate samples of data that will allow the data science team to conduct probabilistic experiments and statistical analyses Design software systems and processes to gather data in the most efficient way and determine key data points needed in order to interpret experiment results and ensure results are properly tracked Interpret data and report conclusions drawn from their analyses Work with cross-functional teams, including product, design, engineering, marketing, operations, and sales, to determine which data analyses will lead to the most actionable insights Build data pipelines to create and transform data for analysis of different product features Clean and summarize data to make it accessible for reporting and for data science Combine data from multiple sources to make and distribute client reports in order to see how particular ad products are performing Analyze expected vs actual delivery of ad products in order to find and improve gaps in our delivery pipeline What You’ll Bring to The House Master’s degree or foreign equivalent in Mathematics, Statistics, Business Analytics, or closely related quantitative field. Three (3) years of years of experience in the role or in a related position. Full term of experience m

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Business Operations team is focused on solving some of Figma's most challenging business issues. We are a small team that works collaboratively across Engineering, Product, Go-to-Market, and Operations teams on a variety of strategic initiatives with a direct and quantifiable impact on our business. You will be asked to tackle a variety of unstructured problems, dissect them, synthesize a set of actionable insights and partner in the execution & implementation of the solution. The role requires someone who is highly analytical and strategic, a great communicator, approaches problems in a structured manner, and is comfortable with ambiguity. You'll get substantial senior leadership exposure, focus on the highest-priority business issues and be plugged into every facet of the business. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Identify, evaluate and prioritize new product initiatives, go-to-market strategies and operational projects, with an eye toward long term value creation Partner with key stakeholders across product, marketing, people, sales, and customer experience to understand, scope and implement operational improvements or perform analysis to inform strategic decision-making Drive execution of approved recommendations, partnering with cross-functional teams to deliver measurable results Develop executive-ready analyses, business cases, and recommendations by synthesizing quantitative data, customer

Who We Are: LINK is a fast-growing Woman Owned Small Business (WOSB) that leverages human-centered design to support strategy, innovation, communication, change, and branding within the federal government and adjacent industry partners. At LINK, we partner with engineers, futurists, and thought leaders to untangle complexity, discover opportunity, and communicate clearly with visual stories. Let us be your partners in change. Location: We are actively hiring in the Charleston, SC area. About the Opportunity LINK is actively seeking a Senior Information Designer to join our dynamic team, where we collaborate with clients across a wide range of industries to create impactful visual stories that communicate complex ideas. You will be responsible for translating concepts into compelling visual products, including prototypes, wireframes, infographics, charts, and diagrams, to effectively convey both quantitative data and abstract ideas in print and digital formats. This is an exciting opportunity for a creative professional to apply human-centered design and design thinking principles to solve complex challenges and deliver visually engaging solutions. You will work closely with both internal teams and clients to understand their needs, develop intuitive information hierarchies, and create designs that support their goals. Qualifications Bachelor’s degree in Graphic Design, Visual Communication, Visual Journalism, Animation, Information Design, or a related field. 10+ years of experience in graphic design, information design, visual communication, or a related field. Current TS/SCI clearance level required. Strong expertise in information design, visual storytelling, and communicating complex information through visual means. Well-versed in a variety of design disciplines (e.g., information design, graphic design, brand development, experience design) and able to select the appropriate approach for a given challenge. Strong understanding of info

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. Responsibilities Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals Develop frameworks and scalable processes to drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience Monitor and diagnose KPI performance and present findings to senior leadership Experience Degree in a quantitative field like statisti

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Data Scientist on the Data Science team within the Platform group, you'll own pricing experimentation and strategy for Coinbase's Consumer & Business products. This team partners directly with Product, Engineering, and Design to turn deep analytical expertise into decisions that move the company's bottom line. You'll design and analyze pricing tests, build models that identify optimal strategies, and communicate findings to executives and cross-functional leaders. What you'll do: Own end-to-end pricing experimentation, from test design through analysis and recommendation Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship Synthesize complex findings into clear, actionable recommendations and present them to senior leadership Required Skills and Experience: 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling (PhD preferred, or Master's in Economics, Statistics, or related quantitative field) 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Growth Engagement team’s mission is to drive the way we connect with customers to increase engagement across our products, connecting the right user to the right action. We focus on informing and implementing a strategic growth roadmap that introduces users to the right products and drives engagement across the entire user journey including onboarding, product adoption, engagement, and retention. We work closely with partners across product, marketing, creative, and data science to build campaigns, experiments, and messaging that increase engagement with our products and services. You will be supported by engineers, analysts, content strategists, brand partners, and product developers as we work toward our common goal to help democratize our financial system! As a Senior Growth Engagement Manager you will lead the lifecycle strategy for international consumer engagement. You will focus on building automated and triggered journeys that introduce users to the right products and drive engagement across onboarding, product adoption, and retention. In this role, you will bring a quantitative approach to prioritization and creative problem-solving, using marketing technology a

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Growth Engagement team’s mission is to drive the way we connect with customers to increase engagement across our products, connecting the right user to the right action. We focus on informing and implementing a strategic growth roadmap that introduces users to the right products and drives engagement across the entire user journey including onboarding, product adoption, engagement, and retention. We work closely with partners across product, marketing, creative, and data science to build campaigns, experiments, and messaging that increase engagement with our products and services. You will be supported by engineers, analysts, content strategists, brand partners, and product developers as we work toward our common goal to help democratize our financial system! As a Senior Growth Engagement Manager you will lead the lifecycle strategy for international consumer engagement. You will focus on building automated and triggered journeys that introduce users to the right products and drive engagement across onboarding, product adoption, and retention. In this role, you will bring a quantitative approach to prioritization and creative problem-solving, using marketing technology a

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Growth Engagement team’s mission is to drive the way we connect with customers to increase engagement across our products, connecting the right user to the right action. We focus on informing and implementing a strategic growth roadmap that introduces users to the right products and drives engagement across the entire user journey including onboarding, product adoption, engagement, and retention. We work closely with partners across product, marketing, creative, and data science to build campaigns, experiments, and messaging that increase engagement with our products and services. You will be supported by engineers, analysts, content strategists, brand partners, and product developers as we work toward our common goal to help democratize our financial system! As a Senior Growth Engagement Manager you will lead the lifecycle strategy for international consumer engagement. You will focus on building automated and triggered journeys that introduce users to the right products and drive engagement across onboarding, product adoption, and retention. In this role, you will bring a quantitative approach to prioritization and creative problem-solving, using marketing technology a

As a Field Engineer on our federal AI projects, you'll work directly with our largest public sector customers to make sure their experience with Scale's technology is smooth and successful. You'll help these customers build production-grade data pipelines, working closely with our Product, Engineering, and Operations teams. This means learning each customer's use cases in depth and building the tools and documentation they need to grow. The role sits at the intersection of customer delivery, product, and engineering. The ideal candidate is a generalist software engineer who enjoys working with clients, takes ambiguous problems and turns them into practical solutions, and collaborates closely with Product and Engineering along the way. An active TS/SCI clearance is required. What You'll Do Build end-to-end data integrations that sync customer data to and from Scale's platform Work with customers' engineering teams to optimize data pipelines, including input on API endpoint design and input/output schemas Design and maintain playbooks, internal tools, documentation, and SDKs that set customers up for long-term success Partner with engineers and Operations to resolve technical blockers, debug delivery issues, and own technical escalations from customers Own the customer's technical experience throughout their time with Scale Work with Account Executives and Product Managers to identify customer-specific feature requests Develop expertise in large language models, 2D image annotation, and API integrations Represent Scale and engage with customers at major events What We're Looking For Experience as a customer-facing engineer or in a similar hybrid role Hands-on technical experience working with clients in a pre- or post-sales capacity Development experience with Python, JavaScript, or other modern languages A strong engineering background, ideally in computer science, mathematics, or another quantitative field Strong project management and interpersonal skills The abili

**Must already reside in the New York Tri-state area* The base salary range for this position is $85,000 - $119,000 annually, based on experience, skills, qualifications, and market factors. Want to work in technology within the financial services industry? We are looking for an experienced Production Support Analyst to join a dynamic technology team supporting mission-critical equities trading platforms and alternative trading systems. This role provides direct exposure to electronic trading, market structure, production engineering, and platform reliability within a fast-paced financial markets environment. We would like to talk to you if you: Experienced in supporting distributed systems and high-availability trading platforms. Like to work in a fast-moving environment and are not afraid to improve processes and systems. Enjoy new technological challenges and solving complex production issues. Are keen to learn about electronic trading, market structure, and production engineering while helping users and stakeholders solve critical business challenges. Believe a team working well together is smarter than the single smartest person on that team. Have grit, drive, and a deep sense of ownership. Thrive in a highly collaborative environment partnering with traders, developers, quantitative teams, and business stakeholders. As a Production Support Analyst, you'll help support and maintain mission-critical trading applications and alternative trading systems, ensuring platform stability, operational excellence, incident resolution, and continuous improvement across the production environment. About mthree Since 2010, mthree has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organizations worldwide. Core Services Consulting and Advisory Managed S

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru About the Role: We are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries. More specifically, you will: Engage with clients to understand their business context Understand business processes and map the complete process in visual formats. Translate business problems into analytical structures and solve using statistical/ML techniques Manage a team of data analysts to deliver solutions for clients. Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. Desired Skills & Competencies: Developing and enhancing algorithms and models to solve business problem. Providing end-to-end analysis support across different industry domains and application areas. Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations)Conducting quantitative analyses and interpreting results Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any). Proficient in MS SQL Database. Python knowledge is good to have. Strong analytical and problem-solving skills. Storyboarding, Client Interaction is a value addition. Education & Desired Experience 4 - 6 years of relevant Analytics

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview Analyze the coverage and exposure rate of interesting events in highway data; mind highway scenarios and build highway datasets; build dashboard to monitor highway data collection Responsibilities Write Databricks notebooks to mine scenarios, create datasets, and build dashboards Conduct exposure analysis to identity performance issues and data gaps by analyzing large-scale vehicle logs and simulation data Write data analytic reports Required Qualifications Strong proficiency in SQL, PySpark, Python in production environments with standard repo practices Experience working with time-series or sensor data Familiarity with robotics or AV data is a plus Bonus Qualifications ML Robotics Program Requirements Currently enrolled in a B.S. or M.S. program in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent experience). Available

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and