3,300 Remote Data Scientist Jobs (August 2026)

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI: Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact. Our platform harnesses a vast industry data lake – tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals – integrating cleanly with existing workflows to make complex risk clear, usable, and actionable. Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry . We are b acked by $56M in Series C funding and scaling fast – and it's an exciting time to join the team ! About the Role: We are looking for a Principal Data Scientist with deep, specialized expertise to lead our organization's most complex and high-impact modelling and analytical initiatives. As a recognized technical authority, you will set modelling strategy across the organization, drive our most novel work, and raise the technical standard for how we build and ship models. How you will make an impact: Leverage the best of modern deep learning large language models with traditional data science techniques to create powerful hybrid models with real uplift. Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly. Everything you would expect on a world-class data science team solving world-class problems. Big data. Federated learning. Unstructured data challenges. Timeseries and sequence modelling. A self-serve buffet of techniques from GLMs to XGBoost to Transformers. Tell stories with your data. Inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line. Who you are and why we want to work with you: You like getting things over the line. You have an insatiable desire to deliver value now and improve next. MVP perfection is achieved not when there is nothing more to add, but when there is nothing left to take away. You are not a software engineer, but you give them a run for their money. You prefer Python to R and don’t understand why there is still a debate. Jupyter is a necessary evil, and you’ve never met a command line that scared you away. You still do a better job than Claude, and you’re skeptical of your friends who say they never code any more. You love to take initiative and spearhead new projects, even if they are not well defined. You build systems bigger than you. You contribute to open source, build packages your peers want to use, or design frameworks to elevate your team. Reuse is a strategy, not a buzzword. Skills needed to succeed: Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 8+ years of professional data science experience building predictive models OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building predictive models Expert-level knowledge of deep learning and ML algorithms and the core Python data science ecosystem. Strong communication and collaboration skills, particularly communicating with nontechnical stakeholders and leadership, and helping to pivot technical roadmaps to deliver their intended value rapidly Deep experience with natural language, medical data, long-tail predictions, or similar related problem spaces Strong familiarity with all phases of the MLOps model lifecycle, with experience creating team standards and practices to enforce quality and speed Deep experience being accountable for model impact long term – from MLOps pipelines to monitor for drift, to KPI and impact monitoring, driving incremental and long-term improvements, triaging issues, addressing tech debt responsibly, etc. Bonus Qualifications: Fluency with actuarial methods and working with actuaries is a plus Familiarity with healthcare and medical data Familiarity with underwriting and claims, or predicting long-tailed and/or rare events What We Offer: A fun, team-oriented startup culture. Generous stock options - we all get to own a piece of what we’re building. Unlimited vacation days. Flexible schedule that supports working from home. Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. Ample opportunities to learn and take on new responsibilities. We are an equal opportunity employer. Salary Range: $190,000-235,000k base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

Posted 1 week ago

Robots & Pencils is looking for a Principal Data Scientist to join a multidisciplinary team in designing scalable AI solutions. The role involves applying data science techniques to solve complex business problems and requires strong SQL, analytical, and communication skills. Ideal candidates will have extensive data science experience, a background in generative AI, and the ability to collaborate across teams. This position emphasizes the integration of AI in enterprise operations and aims to create measurable impact for clients while working in a fast-paced environment.

Posted 6 days ago

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI: Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact. Our platform harnesses a vast industry data lake – tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals – integrating cleanly with existing workflows to make complex risk clear, usable, and actionable. Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry . We are b acked by $56M in Series C funding and scaling fast – and it's an exciting time to join the team ! About the Role: We are looking for a Staff Data Scientist to lead complex modelling and analytical projects of broad and diverse scope. You will drive cross-product initiatives with minimal direction, setting the technical approach where problems are ambiguous and raising the bar for the entire data science team. How you will make an impact: Leverage the best of modern deep learning large language models with traditional data science techniques to create powerful hybrid models with real uplift. Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly. Everything you would expect on a world-class data science team solving world-class problems. Big data. Federated learning. Unstructured data challenges. Timeseries and sequence modelling. A self-serve buffet of techniques from GLMs to XGBoost to Transformers. Tell stories with your data. Inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line. Who you are and why we want to work with you: You like getting things over the line. You have an insatiable desire to deliver value now and improve next. MVP perfection is achieved not when there is nothing more to add, but when there is nothing left to take away. You are not a software engineer, but you give them a run for their money. You prefer Python to R and don’t understand why there is still a debate. Jupyter is a necessary evil, and you’ve never met a command line that scared you away. You still do a better job than Claude, and you’re skeptical of your friends who say they never code any more. You love to take initiative and spearhead new projects, even if they are not well defined. You build systems bigger than you. You contribute to open source, build packages your peers want to use, or design frameworks to elevate your team. Reuse is a strategy, not a buzzword. Skills needed to succeed: Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building predictive models OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 years of professional data science experience building predictive models Advanced proficiency with deep learning frameworks and the core Python data science ecosystem, and a deep understanding of modern AI architectures (e.g., Transformers, Neural Networks, LLMs) and related ML fields Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines MLOps and hands-on experience taking models from notebook to production — Experiment tracking, packaging, containerization (Docker), model serving and APIs, CI/CD, and pipeline orchestration Monitoring models in production – tracking data and concept drift and performance degradation, with alerting Strong peer leadership and ability to mentor junior DS on best practices and problem solving. Experience setting and improving team standards. Bonus Qualifications: Fluency with actuarial methods and working with actuaries is a plus Familiarity with healthcare and medical data Familiarity with underwriting and claims, or predicting long-tailed and/or rare events What We Offer: A fun, team-oriented startup culture. Generous stock options - we all get to own a piece of what we’re building. Unlimited vacation days. Flexible schedule that supports working from home. Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. Ample opportunities to learn and take on new responsibilities. We are an equal opportunity employer. Salary Range: $160,000-193,750k base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

Posted 1 week ago

Tiger Analytics is seeking an experienced Lead Data Scientist to enhance forecasting model accuracy and develop Generative AI solutions for explainability in healthcare. This position demands a strong background in machine learning and deep learning, along with hands-on experience in the healthcare domain. The role involves leading advanced analytics initiatives, collaborating with various teams, and mentoring junior data scientists.

Posted 3 weeks ago

Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: Growth Marketing Product Development AI Automation Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. No corporate fluff: The Data Science Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask "what are we trying to solve here?" before jumping to "what should I build?" Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. Strong analytical skills; ability to pull, structure, and interpret data independently. Track record of owning ambiguous problems and delivering impact. Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, due to the volume of applications we receive, only applicants under consideration will be contacted. Please note: Jerry.ai is only able to hire full-time salaried employees who currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada, and full-time hourly employees who currently reside in AZ, FL, GA, NV, NY, NC, TN, TX, UT, or VA. Unfortunately, we cannot accept applications from candidates residing elsewhere at this time. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at [email protected] The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Your car and your home are your most expensive assets. And for most people, these aren't just purchases, they're the physical embodiment of the life you've worked hard to build. Yet the experience of owning them is stuck in the 90s. Every step of the journey — buying, insuring, maintaining, repairing, selling — is fragmented, complicated, and expensive. Imagine having a trusted friend in your pocket who takes care of everything: they find you the right car or home at the right price, lock in the best insurance rate without you lifting a finger, remind you before that service appointment turns into an expensive repair or, worse, an accident, and help you sell at the best price when the time is right. That friend is Jerry. Jerry is building the first AI agent to manage all your physical assets. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, and have been profitable since 2024. We're now expanding into home, motorcycle, RV, and beyond. We’re fully remote with offices in Palo Alto, New York, Chicago, and Toronto.

Posted 2 weeks ago

SecurityScorecard is a leader in cybersecurity ratings, continuously assessing over 12 million companies globally. The company seeks a skilled Senior Data Scientist to enhance its analytics platform. The ideal candidate will build advanced models, perform data analysis, and collaborate across teams to drive product success. Strong proficiency in Python and machine learning frameworks, along with experience in data science, is required. This role offers competitive benefits and an inclusive workplace culture.

Posted 4 days ago

Reddit's Data Science Team is expanding, seeking experienced Data Scientists to enhance systems that drive user growth and revenue. As a Senior Data Scientist, you'll be pivotal in shaping product strategies through data analysis and research, collaborating with various teams. You will provide insights for product decisions and mentor junior staff, ensuring alignment with business goals. Required qualifications include an advanced degree in a quantitative field and relevant industry experience. The position offers competitive salary and comprehensive benefits.

Posted 5 days ago

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location Remote - USA or Canada From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. So you can find your productive zone and work from there. About the role We're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies — and to stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You'll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. You'll also analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk. What you'll be doing Champion a data-first approach across internal teams and client engagements, promoting clarity and impact Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for our clients Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience Create and automate self-serve dashboards leveraging BI tools Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation Partner with cross-functional teams (Business, Product, and Engineering) to translate business requirements into data-driven solutions What you'll need 7+ years of experience in data science, quantitative modeling, or a data-focused role (product analytics, business analytics) with demonstrated high impact in fraud or risk contexts Strong hands-on experience with Python/R and SQL is essential, with Spark being a nice to have Expertise in BI tools such as Tableau, Sigma, or Metabase Proven ability to structure and analyze complex data using techniques like EDA and cohort analysis, and communicate findings effectively to both technical and non-technical audiences, including clients Sharp critical thinking and creative problem-solving skills with a bias toward action Proficiency in defining, tracking, and communicating performance metrics Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice .

Posted 6 days ago

Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Learn more about our work with Microsoft: Valence Brings AI Coaching More Deeply Into the Flow of Work with Microsoft 365 Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The Role In this role you’ll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You’ll uncover user behavior patterns, operational performance insights, and commercial opportunities — all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we’re making the smartest possible decisions from day one. About Valence We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry. What You'll Do Product Customer Analytics You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights. You’ll identify friction points and areas of opportunity across key user journeys. You’ll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes. Reporting Visualization You’ll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams. You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making. Data Infrastructure Collaboration You’ll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection. You’ll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization. What We’re Looking For You have 5+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment. You hold at least a Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field. You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures. You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization. You’re familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms. You’re familiar with using Excel or Google Sheets for ad hoc analysis and data exploration. You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts. You know how to break down complex business problems into structured analyses. You are skilled at identifying trends, patterns, and outliers in data to uncover key insights. You can clearly communicate findings—both in writing and verbally—to technical and non-technical stakeholders alike. Nice to have: You’ve worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers. What you'll get Ownership Rapid Growth Outsized missions from day one, with direct responsibility for company-defining projects Work alongside the executive team with transparency into strategy and decision-making Influence on direction through real-time customer feedback and market insights AI-First Operator Work directly with cutting-edge AI models and next-generation platforms Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation Competitive salary including base + bonuses Comprehensive health coverage (medical, dental, vision) from day one Generous PTO, company-wide R R shutdowns, and paid parental leave Retirement plan support for US and global employees Equity Meaningful ownership in a venture-backed company at a growth inflection point Financial upside that comes from scaling fast Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact Top-Performing Culture A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Learn more about us and meet our team here Location and Work Environment This role is 3 days a week (Tues - Thurs) minimum in office in Toronto or NYC depending on your residency. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at [email protected]. Employment Verification Commitment We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition. Valence takes candidate fraud seriously. We verify identity, LinkedIn profiles, employment history, and references; any misrepresentation during the hiring process is grounds for withdrawing an offer or ending employment. All offers are contingent on successful completion of these checks. #LI-HYBRID

Posted 6 days ago

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Data and Analytics team is currently looking for a Senior Data Scientist to join us! You’ll be responsible for laying the foundation for a best-in-class business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as a Senior Data Scientist at Vanta: Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure Leverage AI-powered analytics tools and data agents (e.g., Snowflake Cortex) to accelerate insight generation, automate repeatable analysis, and scale decision-making Define and evolve measurement frameworks for product health, customer lifecycle, and AI-powered product experiences Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data Help define Vanta’s analytics strategy and AI measurement practices as our product and data platform evolve Lead executive analytics reviews, translating complex analyses into clear recommendations that drive company decisions How to be successful in this role: 4+ years of experience working with data as a Data Scientist, Product Analyst, or Analytics Engineer in an applied business setting Strong foundation in SQL, Python (or R), statistics, and machine learning Experience designing and evaluating experiments, predictive models, and other statistical analyses to inform product decisions Experience building scalable data assets, metrics, and analytical frameworks on modern cloud data platforms (e.g., Snowflake, dbt) Deep experience with data visualization Experience using modern AI-assisted analytics tools or LLM-powered workflows to accelerate analysis and improve decision making Deep understanding of product analytics, customer behavior, and B2B SaaS growth metrics Experience partnering closely with Product, Engineering, Design, and Customer Success throughout the product lifecycle Demonstrated ability to translate ambiguous business problems into meaningful analytical frameworks and actionable recommendations Passion for building reusable analytical systems that increase organizational leverage rather than one-off analyses Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact. What you can expect as a Vanta’n: Industry-competitive salary and equity Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans 16 weeks paid Parental Leave for all new parents Health wellness stipend Remote workspace, internet, and cellphone stipend Commuter benefits for team members who report to the SF and NYC office Family planning benefits Matching 401(k) contribution with immediate vesting Flexible PTO policy, plus 80 hours of Sick Time 11 company-paid holidays Virtual team building activities, lunch and learns, and other company-wide events! Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney #LI-remote At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply. About Vanta We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent. Referral Instructions If you are being referred for the role, please contact that person to apply on your behalf.

Posted 1 week ago

About Super.com We started Super.com to help maximize lives–both the lives of our customers and the lives of our team – so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized. We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are. About this Role Our data scientists are embedded team members, and work alongside PM’s, software engineers and designers in our mission aligned team (MAT) model. This allows our team members to gain deep experience and context into specific business problems and verticals to grow quickly to become subject matter experts. This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses and productionize your work. About this Team This role is part of our Analytics Data Science team. Being Data Driven is a core value of Super.com and this team plays a huge part in this. We are long time advocates and users of Snowflake, DBT Amplitude. This isn’t a place where we are convincing the business the value of data, or just using these tools for the first time. We have maturity in our technical practices, launch a new experiment every day, and are looking for teammates to roll up their sleeves and do high quality data work. What you’ll be working on: Lead the design and delivery of statistical and machine learning solutions that drive high-impact, data-driven decisions across the business Own complex, ambiguous problems end to end, from framing the question to deploying and monitoring the solution in production Investigate trends, patterns, and anomalies at depth; diagnose root causes and surface opportunities that shape product and business strategy Architect data pipelines to access, clean, and transform large, raw datasets, and establish reusable patterns others can build on Design, implement monitor business rules for cash flow underwriting and repayment workflows Partner with product, engineering, and business leaders to translate strategic priorities into data science roadmaps and influence decisions at the leadership level Proactively identify the highest-leverage problems worth solving, and build or scope the right solution rather than the obvious one Design and run rigorous experimentation programs (A/B and beyond) to test hypotheses, measure product changes, and quantify business impact Develop, prototype, validate, and productionize machine learning models and algorithms, balancing accuracy against latency, cost, and maintainability Communicate technical findings and model results to senior and non-technical stakeholders through clear visualizations, writeups, and recommendations What we’re looking for: 5+ years of experience in data science roles, with a track record of shipping models that delivered measurable business impact Demonstrated ability to own projects independently and lead others through technical ambiguity Experience taking models to production and maintaining them (deployment, monitoring, retraining) A technical degree in data science, computer science, analytics, or AI, or equivalent applied experience building and evaluating production models Strong SQL, including the ability to build clean, performant transformations, ideally with DBT Expert programming skills with fluency in the ML stack: sklearn, pandas, numpy, and a deep learning framework such as TensorFlow or PyTorch Previous experience in fintech lending We’ve got you covered: At Super.com , we believe in supporting our team so they can thrive—both at work and in life. Remote-First Flexibility : Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms. Time to Recharge : Enjoy unlimited PTO, company-wide recharge days, and annual team offsites. Everyday Perks : Weekly UberEats credits and travel discounts on SuperTravel help you enjoy the little things. Family-Friendly Benefits : We support growing families with generous parental leave and a flexible return-to-work plan. Comprehensive Compensation : Competitive salary, equity options, and top-tier benefits starting on day one. Investing in You : Access to wellness budgets, personal development funds, and team-level learning resources. At Super.com , we are proud to leverage cutting-edge artificial intelligence (AI) technology to make our hiring process smarter, faster, and more inclusive. By integrating AI tools into our recruitment, we enhance our ability to identify top talent efficiently while promoting fairness and consistency for every applicant. Super.com is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Accommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify your Talent Acquisition Partner.

Posted 1 week ago

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care a nd dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global framework, which enables seamless collaboration For Québec-based positions, the position requires proficiency in English, as the role involves regular communication with clients and colleagues located outside of Québec. The role We are looking for a Senior Data Scientist to join a highly collaborative team focused on building and scaling innovative machine learning and AI-powered products. This role will work at the intersection of Data Science, Machine Learning, and Engineering to drive experimentation, optimize customer experiences, and develop next-generation AI solutions. The ideal candidate combines a strong quantitative foundation with deep expertise in machine learning, experimentation, and modern AI tooling. This individual will be comfortable operating in emerging product areas with limited direction, helping define both the technical approach and long-term business value. Role responsibilities Lead the design, development, and deployment of machine learning solutions that drive business impact. Partner closely with Product, Engineering, and Data teams to identify opportunities and recommend data-driven solutions. Design and analyze experiments, including A/B tests, to evaluate product enhancements and business initiatives. Develop quantitative frameworks to assess new customer experiences and emerging product opportunities. Build predictive and optimization models that improve customer outcomes and business performance. Contribute to initiatives involving customer personalization, recommendation systems, and behavioral modeling. Drive innovation in computer vision, generative AI, and image-generation technologies. Improve and expand AI-powered visual experiences, identifying new use cases across the business. Evaluate, implement, and optimize state-of-the-art machine learning techniques and open-source AI frameworks. Collaborate with engineering teams to productionize models and create scalable AI systems. Operate independently on ambiguous problems while helping define technical strategy and best practices. Must have qualifications To be considered for this role, you must meet the following essential qualifications: Bachelor's, Master's, or PhD in Statistics, Mathematics, Computer Science, Physics, Engineering, or another quantitative discipline. 5+ years of experience in Data Science, Machine Learning, or a related field. Deep expertise in machine learning, including model development, evaluation, and deployment. Strong programming skills in Python and experience building production-grade data science solutions. Experience designing and analyzing experiments, including A/B testing methodologies. Strong statistical modeling and hypothesis-testing skills. Experience partnering with software engineers to deploy and scale machine learning systems. Ability to independently drive projects from problem definition through implementation. Excellent communication skills and ability to translate complex findings into business recommendations. Technical Skills Python Machine Learning Statistical Analysis Experimental Design / A/B Testing Data Modeling Machine Learning Productionization Nice to have qualifications Experience with Generative AI applications and large language model ecosystems. Experience with AI orchestration frameworks such as LangChain, LangGraph, or similar open-source technologies. Experience working with image generation, computer vision, or multimodal AI systems. Experience building AI-powered customer-facing products. SQL proficiency for data exploration and analysis. Experience working in fast-paced environments where experimentation and iteration are critical to success. Familiarity with recommendation systems, personalization, or customer lifecycle optimization. Technical Skills SQL Generative AI LangChain LangGraph Computer Vision Image Generation Models LLM Orchestration Frameworks Open-Source AI Technologies If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity Inclusion site to see how we’re creating a more equitable Valtech for all. The benefits This is a full time position based in Canada. The offered salary range is $90,000-140,000 CAD annually, depending on experience and location. Valtech offers a comprehensive benefits package effective after three months of continuous service: A comprehensive insurance plan , where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage . Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program , as well as a complete mental health support program . A $500 Personal Spending Account , which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech. A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service. Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year. Personal Technology Reimbursement – $30/month for every employee-offered on day 1. We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed. Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.

Posted 1 week ago