Data Science And Analytics Intern Jobs

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. As a Senior Front-end Engineer, you’ll help power Beacon's mission by building first-class web applications that drive forward new EEG analysis with data analytics capabilities manage clinical studies of novel therapeutics enable physicians to diagnose patients through at-home sleep tests This isn’t just another web app — you’ll be crafting tools that help unlock insights into neurological, psychiatric, and sleep disorders, with the potential to improve lives at scale. This role is 100% remote from anywhere in the U.S. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs located in Boston and New York. What success looks like As part of our small, mission-driven Web Apps Team, you will: Develop our React/Typescript web applications. Design and implement UX workflows for clinical study management, data analytics, and patient diagnostics. Own the user experience, performance, reliability, and observability of the web apps and features you develop, leveraging feedback from real users in a diverse set of use cases and environments. Partner with product designers and cross-functional teams to develop user-centric capabilities that empower a wide set of user personas, both internally and externally. Help shape the roadmap and technical direction of our web applications. In your first

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. You will work closely with cross-functional teams across sales, engineering, supply chain, finance, and product organizations to deliver value for customers and support Micron's continued growth in the automotive market. Key Responsibilities Lead and grow strategic customer relationships. Support account planning, forecasting, and business development activities. Drive customer engagement and commercial opportunities. Coordinate cross-functional teams to deliver customer success. Bringing to bear AI tools and automation to improve efficiency, insights, and decision-making. Find opportunities to simplify and improve sales processes. Minimum Qualifications Bachelor's degree or equivalent experience in Business, Engineering, Data Analytics, Computer Science, or a related field. Experience in sales, business development, consulting, operations, or analytics. Strong analytical and communication skills. Customer-focused attitude with the ability to influence across teams. Using AI to increase efficiency as well as a strong interest in automation, and digital transformation. Preferred Qualifications Experience in semiconductor, automotive, technology, or manufacturing industries. Familiarity with CRM tools, Power BI, and AI solutions such as Microsoft Copilot. Experience in account management, forecasting, or commercial strategy. Why Join Micron? Join a global leader in memory and storage technology and help shape the future o

Overview: Guidepoint Insights enables clients to make better-informed decisions through investor-grade surveys, expertly moderated teleconferences, and a growing transcript library. Our team combines former investment professionals, equity research analysts, industry veterans, and scientists to generate content that drives actionable healthcare research. We are looking to add a Healthcare Research Associate, Focus Polls to our team. This role is fundamental to the execution, quality, and scalability of Guidepoint’s healthcare survey offering. Healthcare Research Associates work closely with analysts, Healthcare Content Analysts, and internal operations teams to manage surveys from advisor targeting and launch through data validation, analysis, and final delivery. The ideal candidate combines strong healthcare research skills with analytical rigor, operational discipline, and the ability to identify and resolve issues across a high-volume survey pipeline. What You’ll Do: Manage the end-to-end execution of healthcare surveys, coordinating survey launches, advisor recruitment, data collection, analysis, and delivery Build and maintain targeted advisor lists based on specialty, experience, geography, product exposure, and other project-specific criteria Monitor active survey pipelines, response rates, and advisor participation to ensure projects remain on schedule and achieve appropriate sample sizes Review and validate survey responses for outliers, inconsistencies, mistypes, and other potential data-quality issues Generate and review Excel-based survey outputs, including calculations, tables, charts, and other quantitative analyses Determine the appropriate analytical and graphical treatment of survey data in partnership with analysts and Healthcare Content Analysts Contribute to the ongoing build-out of Guidepoint’s healthcare survey capabilities and knowledge base What You Have: Bachelor’s degree in Life Sciences, Public Health, Healthcare, Business, Data Analytics,

Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression. You will: Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market) Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives Own the execution of our data labeling operations for strategic projects Give regular progress updates to Scale’s executive team Work on some of the most impactful problems at the company Ideally, you’d have: Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). 2+ years of experience leading a team, developing product or operational processes, or as a SWE. Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). Entrepreneurial experience and mindset - you are excited about building things from scratch Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted e

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. ROLE SUMMARY Our Data Scientists conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will: Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring Deliver research findings to investment teams, portfolio managers, and other internal clients Work within a team to help drive technical innovation through a collaborative R&D process WHAT EXCITES YOU Staying current on the evolving alternative data market and its role in discretionary investing Speaking with experts both inside and outside the Firm to understand data needs and offerings Multi-tasking and switching gears frequently to address the needs of the business Analytical thinking and ability to sift through large unstructured data sets Working in a fast-paced, dynam

Join Point72’s Market Intelligence Internship & Emerging Talent Network Our proprietary research team—Market Intelligence—partners with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. Our industry researchers, product managers, data scientists, and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We're proud of the diversity of skills, backgrounds, and perspectives of our team members, and we look for other bright, motivated, and collaborative people to join us and grow with us. By joining our talent network, you can be the first to know about new internship and early-career roles in Market Intelligence. You may be notified of opportunities and events that match your interests, as well as receive updates on the latest developments from our team. We’re looking forward to connecting with you! What we’re looking for Individuals who have completed, or are in the process of completing, a Bachelor’s or Master’s degree, and are interested in internship and early-career opportunities Experience or demonstrated interest in big data technologies Proficiency with technical programming, data query and analysis tools (Python, SQL, Tableau, etc.) Excellent written and verbal communication abilities An analytical mindset, ability to think creatively, with robust problem-solving skills About Point72 Point72 is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the g

Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees, offering a comprehensive set of AI & data solutions built on deep data science and cutting-edge AI technologies. From strategy to operations, we partner with 1,000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi. Our work spans the full data and AI value chain, including data strategy, data quality and governance, data platforms, AI solutions, and data-driven customer experiences. What you will be doing: Our Data Consulting department leads the way in effectively exploiting data & AI in all its forms. Do you want to help our clients define best-in-class data & AI strategies, drive transformations and build data & AI solutions that have impact? Join our dynamic consulting team and contribute to developing our international client portfolio! As a Junior Data Consultant , you will support national and international clients across various industries in developing and implementing innovative data & AI strategies. Your role will encompass: Client advisory: collaborate with clients alongside your (international) team to understand their business needs and goals, delivering data-driven recommendations that guide decision-making and strategy. Data Collection and organization: collect, clean, and prepare data for analysis, correcting errors and formatting it for statistical software. Ownership of project stream: drive individual workstreams, ensuring successful and timely delivery, in alignment with project goals. Data analysis and interpretation: use tools like Excel, SQL, and Python to analyze data, apply statistical techniques to uncover trends and patterns, and present clear, actionable insights to clients, ensuring clarity for both technical and non-technical audiences. What we are

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Enable rapid learning and effective technology transfer across the organization through deep involvement in defect detection equipment applications and advanced data analysis. Analyze process challenges using defect data and equipment signals to identify root causes and improvement opportunities. Collaborate with cross-functional teams across process integration, process development, data science, and yield analysis to deliver solutions with global impact. Drive defect reduction and yield improvement efforts across multiple projects on Micron’s DRAM roadmap, including High Bandwidth Memory (HBM) and advanced DRAM technologies. Develop a comprehensive understanding of process flows, potential failure and defect modes through FMEA, and associated detection strategies for inline yield characterization. Define die loss paretos upon issue detection and partner with process and integration teams to design, execute, and analyze experiments and DOEs to resolve yield limitations. Monitor baseline inline yield health for owned process modules using SPC techniques to quickly identify excursions, process drift, and emerging risks. Protect line yield by proactively escalating issues and coordinating corrective actions. Apply advanced data science and data interpretation skills to analyze complex datasets, draw actionable conclusions, and communicate results effectively. Present findings and recommendations to internal teams and customers using analytical tools such as JMP and Python. Employer will accept a Master’s degree in Material Engineering, Chemical Engi

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Develop and manage platforms and solutions to minimize financial and regulatory risk while maintaining excellent user experience; Transform business challenges into scalable and effective engineering solutions; Partner with diverse stakeholders, including engineering, product, policy, legal, operations, and data science teams; Diagnose and resolve production issues across various services and throughout the tech stack; Enhance engineering standards, improve tooling, and optimize processes; Proactively identify, analyze, and swiftly mitigate emerging risk patterns. Who you are Minimum requirements Bachelor's degree or foreign equivalent in Computer Science or related followed by 2 years of Software Engineering experience. Position also requires the following: 2 years of experience developing software solutions using Python, Java or Ruby; 2 years of experience designing, developing, and maintaining scalable systems; 2 years of experience translating business requirements into tangible software requirements and system designs; 2 years of experience identifying and resolving production issues that span multiple services and stack layers; and 2 years of experience performing data-driven investigations and analysis to inform decision-making using SQL and visualization software. Salary: $156,800 – 235,200/yr This salary range represents the base salary range for the role and any sales commiss

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Work with engineers, designers, and product managers to design and build highly scalable and secure consumer experiences that process billions of dollars per year Design and build APIs, services, systems and experiments that evaluate the effectiveness of new and existing product features against critical business metrics Coach and mentor junior engineers, assist in hiring, and partner to develop team culture/best practices Participate in all parts of the software development workflow to improve engineering standards, tooling, and processes Operate at the intersection of data science and software engineering - apply state of the art data analysis tools and ML to understand/improve product and user behaviors Build software including creation, modification, and testing of source code written in Ruby, JavaScript, Typescript, and JVM languages Who you are Minimum requirements 6 years of Software Engineering experience. Position also requires the following: 6 years of experience in building software with Typescript, Javascript, and Ruby; 4 years of experience in building web or mobile applications; 3 years of experience with SQL databases; 2 years of experience in writing technical design documents; and 1 year of experience in designing and implementing large scale consumer payment experiments. Salary: $190,400 – $285,600/yr. This salary range represents the base salary range for the role and any sales commissions / sale

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! Figma’s Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data. As a PhD Data Science Intern, you’ll bring rigorous research training to some of Figma’s most important and open-ended questions, from researching emerging product and user behaviors and Figma’s broader ecosystem to developing new measurement methodologies, applying causal inference or machine learning, and building analytical systems. You’ll own a data science project end-to-end: from framing the question and methodology to translating findings into insights that influence Figma’s products, strategy, or data science practices; with the potential to continue toward publication after the internship. This internship will be based out of our San Francisco or New York hub. What you’ll do at Figma: Partner with cross-functional teams to turn ambiguous product, platform, or business questions into well-defined data science problems Analyze user, product, or business data to uncover insights and recommend actions Design and evaluate experiments, metrics, statistical or machine learning models, and analytical frameworks Communicate assumptions, tradeoffs, limitations, and recommendations clearly to technical and non-technical partners Own a focused internship project end-to-end, from problem framing and technical execution through final recommendations, with potential to continue toward publication after the internship We’d love to hear from you if you h

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As Data Analysis Engineering Intern at Micron, you will learn about the exciting field of semiconductor failure analysis, using state of the art solutions to improve next generation memory solutions. The goal of this internship is to accelerate the cell cycles of learning by developing inline prediction to end of line cell performance using machine learning. We need engineers who are passionate about detecting problems and making changes for the better, and seek out innovative ways in how predict what will happen. We will assign you project to develop critical thinking and problem-solving skills. Your research tasks are designed to optimize and improve predictability of cell performance. Through this project we will provide the opportunity for you to collaborate with others from process integration, process engineering and data science. At the end of the period, we want you to have a deep understanding of the processes, device operation, and measurement strategies used in today’s semiconductor yield analysis department. Responsibilities: Review and analyze experimental data looking for device performance shift Possess a continuous improvement process (CIP) mentality, looking for ways to improve measurement accuracy and make a difference today! Recognize, identify, and raise awareness of process anomalies with the motivation of "who needs to know this now!" Use the data collected inline to drive process improvements Work with new detection tools and inspection strategies to loca

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is seeking a Senior Director of Consumer Data Science to lead a multi-team organization that partners across Consumer, Product, Engineering, and the broader business. You will set the strategy and operating model for consumer data science, strengthen the systems and standards that make scientific outputs reliable, actionable, and scalable, and guide high-impact decisions through measurement, experimentation, causal inference, and ML. This leader will help define how Reddit measures and improves relevance across the consumer journey—from retrieval and ranking to feed, search, recommendations, and community discovery—and will shape the organizational capabilities required to advance these systems over the long term. Accordingly, the role requires the technical depth to evaluate architecture and analytical investments, guide state-of-the-art ML system improvements, and the leadership presence to align senior leaders around difficult tradeoffs. What you’ll do Partner with senior leaders across Consumer, Product, Engineering, and business functions to define company-level bets, priorities, and tradeoffs. Set the data science strategy for Reddit’s feed, recommendation, search, retrieval, and ranking systems, including objective design, candidate generation, ranking quality, relevance evaluation, experimentation, and long-term optimization. Establish the measurement and experimentation framework for relevance optimization, including offline evaluation, online experimentation, counterfactual analysis, guardrail met

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Risk Data Science team builds the data foundations, models, and measurement frameworks that power Stripe's risk and product decisions — from underwriting and reserves to merchant interventions and enablements. We're at an inflection point: as Stripe increasingly offers risk capabilities as a product to platforms and users, we need a data leader to shape how we build, measure, and evolve our risk data strategy. What you’ll do We are looking for an experienced data analyst to drive the data strategy for our risk as a product offering. Define the metrics, data products, and analytical frameworks needed as Stripe brings risk capabilities to platforms and connected accounts at scale. Partner with Product, Engineering, and Risk leadership to ensure data investments align with the product roadmap. You will design metrics, pipelines, and data products that serve as the analytical backbone for risk decisioning. You will own the definition, reliability, and visibility of our most important risk metrics. Establish a canonical set of north star and operational metrics and ensure they are trustworthy, well-documented, and consistently surfaced to the right audiences. Build and maintain the infrastructure that keeps these metrics accurate as our data and product landscape evolves, including clear ownership, alerting on regressions, and scalable pipelines that reduce the cost of keeping insights current. You will also own and evolve Stripe's risk exper