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Data Scientist
✨ $90k-$140k / yearest.
This role offers a chance to own **end-to-end analysis** from data collection to deployment. … You'll apply **machine learning** to solve complex business problems, collaborating with cross-functional teams to derive **data-driven insights** that
Data Scientist
$132.6k-$179.4k / year
Role Description We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities Develop a deep understanding of customer journey phases and key business metrics Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL and large unstructured datasets such as Hadoop Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation Canada Pay Range$132,600—$179,400 CAD
Data Scientist (2-5 years experience)
Westminster, Colorado, United States
$80k-$125k / year
You'll **build predictive models** and **drive data-driven insights** for Fortune 500 clients in a fast-paced hybrid environment.
Data Scientist
Cotton City, New Mexico, United States
You'll partner with product, engineering, and design teams to **analyze user behaviors** and **drive revenue growth** through data insights and experimentation
Data Scientist
✨ $110k-$155k / yearest.
You'll join a **data science team** to build **predictive models** that drive product decisions.
Data Scientist
Granada, Andalusia, Spain
✨ $50k-$70k / yearest.
This role offers exposure to **big data platforms** like Databricks and Cloudera, and the chance to work on **machine learning models**.
Senior Data Scientist
✨ $140k-$180k / yearest.
You'll be Nash's **first Data Scientist**, building data products across pricing, dispatch, carrier selection, ETA prediction, and forecasting.
Data Scientist
Warsaw, Masovian Voivodeship, Poland
$348k-$394.8k / year
You'll partner with cross-functional stakeholders to drive **data-informed decision-making** and build models to predict **customer growth trajectories
Data Scientist
✨ $120k-$160k / yearest.
You'll **analyze behavioral biometrics data** and build **fraud detection models** for leading financial institutions.
Data Scientist
Ukraine
✨ $45k-$65k / yearest.
About the team At Sift, our Data Science team works at the core of our Digital Trust & Safety platform, helping customers stop fraud, abuse, and account takeover while protecting great user experiences. We partner closely with engineering, product, and go-to-market teams to turn large-scale behavioral data into practical machine learning improvements and customer value. We are a forward-thinking team that challenges the status quo, values open and constructive feedback, and cares deeply about learning, rigor, and impact. We take pride in our work, not ourselves, and we believe machine learning is a powerful way to help internet businesses grow safely. Role As a Data Scientist II at Sift, you will use data science and machine learning to improve fraud detection and customer outcomes. You will investigate fraud patterns, evaluate model behavior, prototype ideas, and work with engineering partners to translate research into production improvements. Your goal is to turn ambiguous customer and product problems into clear, data-driven recommendations that improve model quality, product capability, and business impact. This is a strong fit for someone who enjoys both deep analysis and practical execution: someone who can dive into large datasets, frame the right questions, and communicate findings clearly to technical and non-technical partners alike. What you’ll do Analyze fraud patterns, customer behavior, and model outcomes to identify opportunities for product and model improvements. Partner with engineering and product teams to define evaluation metrics, investigate gaps in current product behavior, and propose practical improvements that drive customer value. Design and run experiments on features, modeling approaches, and datasets to validate ideas and improve model performance. Evaluate model quality through dataset analysis, error analysis, calibration, and score distribution investigations. Build repeatable analyses, prototypes, and internal tools that support research, diagnosis, and operational decision-making. Communicate findings and recommendations clearly across data science, engineering, and business stakeholders. What will make you a strong fit Bachelor’s degree in Computer Science, Statistics, Mathematics, a related technical field, or equivalent practical experience. 2+ years of relevant industry experience in data science, machine learning, analytics, or a closely related field. Strong foundation in machine learning and data science best practices, with experience applying them to real-world problems. Experience working with large datasets using tools such as Python, Jupyter, Pandas, PySpark, scikit-learn, PyTorch, TensorFlow, or similar technologies. Comfort performing both deep analysis and lightweight prototyping to test ideas quickly. Strong problem-solving skills and the ability to work effectively in ambiguous spaces with competing priorities. Clear communication and collaboration skills, with a team-first mindset. Nice to have Experience in fraud, risk, trust and safety, cybersecurity, or adjacent domains. Familiarity with Java or another object-oriented programming language. Experience partnering closely with software engineers to productionize analytical or machine learning improvements. Please note: Final round interviews may be held in person Let’s build it together: At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community – ultimately using this empowerment and authenticity to build trust and create a safer Internet. This document provides transparency around how Sift handles the personal data of job applicants: https://sift.com/recruitment-privacy A little about us: Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Global brands rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn .
Data Scientist
Warsaw, Masovian Voivodeship, Poland
$208k-$270.4k / year
Collaborate with business stakeholders to turn data into real solutions. This hybrid role offers hands-on modeling and product strategy.
Data Scientist, Corporate
$170k-$170k / year
About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to building an uncompromising, mathematically rigorous single source of truth for enterprise consumer analytics. In this role, you will work across a highly sophisticated data engine that bridges foundational statistical modeling, complex data infrastructure, and advanced analytical product architecture. Whether your deep expertise lies in refining core statistical baselines, optimizing heavy computational models, or architecting scalable logic libraries, you will have a massive impact on how enterprise-level consumer insights are delivered. This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. We expect East Coast work hours. As Our Corporate Data Scientist, You Will: Statistical Modeling & Distribution Optimization: Design, validate, and deploy robust, scalable optimization frameworks and distribution models to ensure complete mathematical integrity across downstream metrics. Methodology & Panel Foundations: Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures. Analytical Logic & Governance: Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates and logical libraries. You will ensure analytics are structured cleanly to power diverse product surfaces, ranging from interactive dashboards to LLM-driven applications. Infrastructure & Performance Optimization: Partner closely with Data Engineering to optimize code performance and scale analytical workflows. You will help transition complex statistical calculations from standard database queries into efficient, production-grade cloud compute architectures. You Are Likely To Succeed If: Experience: 4–5 years of professional data science experience. 2-3 years of experience with an advanced degree. Education: Bachelor’s degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline). A Master’s degree is strongly preferred . Mathematical Proficiency: Exceptional expertise in working with, modeling, and optimizing for statistical distributions . Technical Stack: Advanced proficiency in Python or R and expert-level SQL . Key Advantages (Big Plus): Direct experience working with panel data or longitudinal consumer data. Hands-on experience analyzing receipt data or transaction-level consumer data. Experience working with Databricks and scaling advanced compute workloads. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! The annual on-target earnings for this position are anticipated to be up to $170K + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice <img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=4341228&conversionId=10486642&fmt=gif" />
Data Science Analyst
San Francisco, California, United States
$70k-$85k / year
You'll work with diverse datasets and technologies to build **scalable automated solutions** for challenging data problems.
Data Science Analyst
Los Angeles, California, United States
$70k-$85k / year
You'll work on **diverse data sets** with Python, PySpark, and SQL to build scalable automated solutions.
Data Scientist
✨ $100k-$150k / yearest.
You'll join a team building **predictive models** for a **fast-growing fintech**. Your work will directly influence **credit risk decisions** for millions of users.
Data Scientist
✨ $130k-$160k / yearest.
You'll join the data team to shape cross-company decisions across GTM, Product, and Business functions. … This role directly impacts company-wide decisions at the intersection of data, product, and business.
Data Scientist
Oakville, Ontario, Canada
✨ $75k-$110k / yearest.
Your work will directly impact customer-facing products by transforming raw data into actionable insights. … You'll design and construct **data modeling processes** and build **machine learning models** for a global leader in IoT and connected transportation.
Data Scientist
✨ $120k-$160k / yearest.
You'll develop predictive models for a top e-commerce platform, optimizing customer recommendation systems. Your work will directly impact revenue growth and user engagement.
Data Scientist
India
✨ $50k-$100k / yearest.
You'll build models and AI-enabled data products using **statistical modeling, generative AI, and advanced analytics**.
Data Scientist II
$130.3k-$170.6k / year
You'll own the end-to-end data products lifecycle and collaborate with cross-functional teams. … You'll design and optimize scalable graph algorithms and build data science solutions for The Trade Desk's advertising platform.