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statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

Clinical Data Scientist – Hybrid or Remote Overview A growing organization in the healthcare and life sciences technology space is seeking a Clinical Data Scientist to support the final stages of its clinical data pipeline. This role focuses on transforming complex clinical datasets into clean, standardized, analysis‑ready deliverables for use in clinical research and regulatory submissions. The ideal candidate is detail‑oriented, technically versatile, and passionate about delivering high‑quality clinical data. You will work closely with cross‑functional teams—including Clinical Operations, Data Platform Engineering, and AI/ML teams—to ensure accuracy, traceability, and compliance across all data outputs. This role may be hybrid or fully remote; candidates in the SF Bay Area are preferred but not required. Key Responsibilities Data Transformation & Delivery • Convert raw, manually abstracted, and AI‑processed clinical data into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models., • Build analysis‑ready datasets from diverse sources including EMRs, EDC systems, and internal abstraction tools. Statistical Programming & Reporting • Develop and generate Tables, Listings, and Figures (TLFs) for clinical study reports and interim analyses using SAS, R, or Python. Data Integrity & Quality Control • Perform comprehensive data cleaning and validation checks., • Investigate discrepancies to distinguish between true clinical complexity and upstream data errors. Cross‑Team Collaboration • Partner with engineering teams to automate data cleaning and validation workflows., • Serve as an early tester and internal customer for new data infrastructure tools. Documentation • Create and maintain clear documentation including data specifications, derivation logic, reviewers’ guides, and Define.xml to support audits and regulatory submissions. Ad‑Hoc & Exploratory Analysis • Support internal and external stakeholders with data queries, one‑off analyses, and insights that demonstrate the value of the platform. Ethical & Compliant Data Management • Follow all applicable privacy, security, and compliance requirements (e.g., HIPAA)., • Promote ethical handling of sensitive clinical data. Qualifications Education • BSc or MSc in Statistics, Mathematics, Computer Science, Life Sciences, or a related field. Experience • 2–5+ years in clinical data science, statistical programming, or clinical data management within Pharma, Biotech, or related environment. Technical Skills • Strong proficiency in SAS, R, Python, and SQL., • Familiarity with version control (Git) preferred., • Experience with CDISC SDTM/ADaM standards., • Understanding of oncology endpoints (e.g., RECIST, survival analysis) and real‑world data (RWD) is a plus. Core Competencies • Demonstrated expertise in cleaning and stitching complex datasets., • Ability to work with unstructured text or NLP‑derived outputs is highly desirable., • Exceptional attention to detail and accuracy., • Strong written and verbal communication skills., • Self‑directed, curious, humble, and collaborative. Additional Information • Travel: Up to 5%, • Compensation: Competitive salary range based on experience, qualifications, and location., • Eligible for equity, annual performance bonus, and comprehensive benefits.

Title: Strategic Capital Formation Lead (Contract, Part-Time to Start) Company: Bifrost Medicines, LLC Location: Flexible / Remote Type: Contract; part-time initially, with engagement expected through the close of a Series A and potential to expand thereafter About Bifrost Medicines Bifrost Medicines is building a rare precision oncology company around a genetically defined AML program with the potential to become a highly differentiated therapeutic asset. Our lead effort is centered on inv(16) AML, a molecularly defined subtype with strong biological rationale and no approved targeted therapy specifically directed at the core driver complex. We are working around science associated with Dr. John Bushweller and a small-molecule program designed to directly interfere with the leukemogenic RUNX1–CBFβ-SMMHC interaction. We believe this creates a particularly compelling genotype-to-mechanism-to-therapy story in a setting where specificity, patient definition, and mechanistic clarity matter. We are now seeking a capital formation leader to help us raise financing and build the right long-term investor base around the company. This is a contract role and will begin on a part-time basis. The immediate objective is to help the company prepare for and execute a successful Series A financing process. For the right person, the role could expand over time, but the initial mandate is clear: help us raise capital intelligently, efficiently, and with the right strategic partners around the table. This is not a generic fundraising role. We are looking for someone with a real network, real judgment, and real experience raising capital in biotech, ideally in rare disease, oncology, precision oncology, or genetically defined therapeutic programs. The right person will understand that the investors most likely to back a company like this are not simply “biotech investors,” but a narrower set of people who understand early mechanistic science, differentiated oncology company formation, and the value of highly defined patient populations. Role Overview This person will lead or co-lead the company’s capital formation effort and serve as a key strategic partner to the founders on a contract basis. The role is focused on helping Bifrost secure the right financing partners to advance the company from its current stage toward a larger institutional syndicate and a successful Series A raise. The successful candidate will know how to translate a deeply scientific rare precision oncology story into a fundraising process that resonates with venture capital firms, crossover investors, family offices with biotech experience, strategic investors, and other specialized healthcare capital sources. They will be able to identify who is actually relevant, get the company in front of those people, shape the narrative, manage the process, and help close the financing. This is a high-trust, high-impact role. We are not looking for someone to compile a generic investor spreadsheet or spray out cold outreach. We are looking for someone who already has an existing network and can credibly open doors with investors who matter in rare precision oncology and early-stage biotech. What You Will Do You will develop and drive the company’s fundraising strategy, including target investor mapping, financing process design, outreach sequencing, and message calibration. You will help refine how the company is positioned to investors, including how we frame the scientific thesis, the competitive landscape, the unmet need in inv(16) AML, the company-building opportunity, and the rationale for why this is a precision oncology company rather than simply an early AML project. You will identify, prioritize, and activate the investors, company builders, and strategic relationships most likely to understand the value of a genetically defined oncology asset at this stage. You will make warm introductions where you have them, create opportunities where you do not, and help build a process that feels disciplined, targeted, and credible. You will work closely with the founders on deck development, data presentation, diligence preparation, investor follow-up, and process management. You will help shape financing strategy across multiple possible pathways, including seed-extension, pre-Series A, Series A, tranched financings, strategic capital, foundation-connected capital, and other specialized structures appropriate for an early rare precision oncology company. You will also help assess investor quality, not just investor interest. We care deeply about bringing in the right people around the table. This means understanding which firms truly know oncology, which ones understand highly targeted genetic subtypes, which ones can support company formation, and which ones are unlikely to be helpful despite name recognition. Who You Are You have meaningful experience raising capital in biotech, therapeutics, life sciences, or healthcare. You have a real and current network of investors, strategic counterparties, and company builders. Ideally, that network includes individuals or firms who have backed precision oncology, rare disease, targeted oncology, genetically selected programs, or hematologic malignancy companies. You understand the difference between broad oncology and rare precision oncology. You know why certain investors are drawn to clean genotype-to-therapy stories and why others are not. You have a feel for who will appreciate early mechanistic science, who will want more mature packages, and who can be engaged now versus later. You are commercially sophisticated but scientifically credible. You do not need to be a scientist, but you do need to be able to understand and communicate complex biology in a way that is accurate, disciplined, and compelling. You should be comfortable operating in a founder-led environment where the science is real, the opportunity is differentiated, and the company is still being built. You are proactive, organized, and unusually good at moving a process forward without creating noise. You know how to manage investor conversations, maintain momentum, track next steps, and keep founders focused on the highest-value opportunities. You know how to get meetings, and you know how to convert meetings into a process. Strong candidates may come from biotech business development, investor relations, venture capital, specialized banking, healthcare fundraising, or founder-adjacent strategic roles. Prior direct experience raising capital for rare precision oncology companies is highly attractive. What Success Looks Like Success in this role means helping Bifrost build a focused and credible investor process around its lead rare precision oncology asset. It means refining the message, getting the company in front of the right people, creating momentum with serious investors, and helping the company close a strong Series A financing with partners who understand both the science and the strategic opportunity. This role is especially well suited for someone who wants to work closely with founders, help shape a financing narrative from the ground up, and play a meaningful role in the formation of a new rare precision oncology company. Compensation Compensation will be structured for a contract, part-time role initially and for solely for stock options until our Series A closes. After closing, it can include a mix of cash and success-based economics. We are open to discussing a structure that appropriately aligns incentives through the close of the Series A. How to Express Interest Please reach out with a brief description of your background, your experience raising capital in biotech, and any relevant history in rare disease, oncology, precision oncology, or genetically defined therapeutics. We are especially interested in candidates who already have trusted relationships with investors active in early-stage precision oncology and company formation.

Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.

Strong statistical reasoning and ability to translate complex data into strategic business insights.

The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. Create and manage mission-critical dashboards and real-time alert systems to monitor model performance, identify dr

By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Intellectually curious, willing to think creatively to solve complex business problems in fast-paced, high-grow

Willingness to travel for onsite meetings and business reviews as needed.

We’re seeking a data-driven and detail-oriented Data Analyst (an individual contributor) to join our Data & Analytics team within the Growth organization. Minimum 3+ years experience as a Data Analyst, Data Scientist, Analytics Engineer or similar technical role.

As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc. Relevant experiences in quantitative or data science roles, preferably for a consumer-facing service/app.

Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service

Data Scientist or Data Analyst position. Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC). You will build data products to extract valuable business insi

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, ga

As the first Unified Growth Platform, Thirdwave empowers blockchain projects with the analytics and insights to understand their customers and the actions that accelerate their growth. We deliver the key infrastructure and tools to enable projects to control their destiny. We connect people to the projects, games, and communities they love. Thirdwave is looking for a highly skilled Data Scientist to join our team. Our ideal candidate is someone with a strong analytical mindset, capable of leading advanced data analytics projects and contributing to the overall data science strategy. You like emerging technologies like Blockchains and are passionate about shaping the industry. As a Data Scientist at our startup, you will be pivotal in analyzing billions of blockchain wallets and tens of billions of transactions to derive actionable insights. You will develop and refine both descriptive statistics and predictive models, leveraging your expertise to understand complex blockchain ecosystems and drive data-informed decisions. With significant autonomy, you will have the opportunity to influence our product’s direction and contribute to the company's growth. You’ll Also: • Building predictive and descriptive statistical models using financial data, such as Lifetime Value (LTV), • Deploying and maintaining models, code, and data pipelines for customer-facing applications, • Collaborating closely with engineers and product teams to develop models that drive data-driven decisions, • Enhancing our product offerings and identifying new growth opportunities, • Optimizing models for performance and cost in distributed data warehouses, • Conducting data mining on public data to extract actionable insights, • Managing ETL connectors to ensure seamless data flow across systems, • Guiding the development of visualizations to present data findings in an intuitive and accessible manner About you • Fast learner, self-starter, go-getter, and intellectually curious, • Strong communicator with the ability to think about data at scale and beyond individual record levels., • Passionate about Blockchain and have a fundamental understanding of protocol mechanisms., • Comfortable interacting with various APIs, and raw blockchain queries. Minimum Qualifications • Proficient in building predictive and descriptive models with financial and blockchain data, • Experience with distributed data warehouses (e.g., Snowflake, Redshift, or Spark) and optimizing models for performance and cost, • Experience with DBT (Data Build Tool) for transforming data within data warehouses, • Expertise in data mining and managing ETL processes, • Strong programming skills in Python and SQL, • Experience with data orchestration frameworks (e.g., Dagster, Luigi, or Prefect) and monitoring tools (e.g., Datadog), • Familiarity with cloud platforms (e.g., AWS) and databases (e.g., Postgres, Redis), • Ability to develop and deploy customer-facing applications and visualizations Preferred Qualifications • Prior experience in the blockchain or fintech industries, • Strong understanding of statistical and machine learning methodologies, • Ability to work in a fast-paced startup environment and collaborate with cross-functional teams Location • Flexible, Remote What We Offer • Comprehensive medical, dental, and vision coverage for you and your family, • Additional benefits to help care for your family such as flexible parental leave and fertility & adoption assistance, • Unlimited PTO, including two recharge weeks (two company-wide weeks off, 13 paid holidays AND a $1000 vacation stipend once a year to spend on travel, etc., • Awesome Perks including a $200 monthly Wellness Stipend to support not just your 'health & fitness' but your general wellbeing, a $500 home office budget to get you set up at home, and a $125 monthly phone & internet stipend

Nextdoor (NYSE: NXDR) is the essential neighborhood network.Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries.Nextdoor builds innovative technology to foster local community, share important

We empower regional and independent grocers to compete in a digital-first world by providing best-in-class app, web, loyalty, and e-commerce solutions—without SaaS fees.Instead, Swiftly drives revenue through its retail media network, sharing profits with retailer partners.With 70+ retailer banner

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and audiobooks better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Data Scientist to join the AI Foundations team to evaluate generative AI models and their impact on users. You will collaborate with cross-functional teams of engineers, research scientists, product managers, and tech leads to ensure that we are making product and technology decisions grounded in data. In this role, you will bring a deep understanding of user behavior into the development and evaluation of Spotify’s foundational AI products. • Perform analyses on AI models and user behavior to help drive strategic and product decisions, • Define and report on key performance metrics to measure the health and success of our products, • Design and analyze experiments and perform causal inference when A/B testing is not an option, • Contribute to novel methodologies for AI model evaluation and measurement, including offline evaluation and LLM-as-a-judge techniques, • Communicate complex technical findings to diverse stakeholders, • You have experience in a hands-on data science role, preferably in an AI or ML team, • You have the technical competence to perform advanced analytics: coding skills (Python or R), experience with analytics and visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets, including the use of AI tools for data science, • Strong communication and presentation skills, with an emphasis on storytelling with data, • You are a self-driven person who’s capable of tackling loosely defined problems and driving strategic impact, • Excited to be at the forefront of Spotify’s AI-first product evolution, with a focus on innovation, iteration, and impact, • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have _, • This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $110,018 - $157,169 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

Research Scientist – Aging & Retinal Biology Our client is seeking a highly motivated Research Scientist to support a growing aging and retinal assay platform within their neurodegeneration portfolio. This is a hands-on, translational role focused on mechanisms of aging and retinal degeneration, working closely with the Principal Investigator. In this position, you’ll own critical experimental workflows in rodent models and ex vivo tissues, generating high-quality molecular, cellular, and imaging data to advance therapeutic discovery. It’s a great fit for a scientist who enjoys building robust, reproducible assays and contributing across multiple programs. What you’ll do • Develop, optimize, and run retinal and aging-related molecular and cellular assays, • Lead retinal tissue workflows including dissection, sectioning, staining, and quantitative analysis, • Perform in vivo and ex vivo rodent studies in accordance with approved protocols, • Analyze and interpret complex datasets and contribute to reports, presentations, and manuscripts What we’re looking for • Ph.D. in Neuroscience, Biology, Pharmacology, or a related field, • At least 1 year of industry research experience (biotech or pharma), • Strong molecular and cellular biology background with hands-on rodent experience, • Expertise in immunohistochemistry, confocal microscopy, PCR/qPCR, and Western blotting, • Experience in retinal biology, aging research, or assay development is a plus Why apply • Competitive compensation and comprehensive benefits, • Opportunity to grow in a fast-moving, mission-driven biotech environment U.S. work authorization required. Interested in learning more or applying? Let’s connect greg.hammond@biotalent.com

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work locat

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate busi

Proficiency in Python for data analysis (e.

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts.We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation

The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background.

We’re looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience. You�

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks.The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances

Founded in 1989, Technopolis Group is an independent research and consultancy company, European leader in providing strategic policy advice to public sector institutions at the local, regional, national, and international levels (such as the European institutions) – as well as to third sector orga

Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.

As a senior individual contributor, you will drive high-impact modeling initiatives and shape the technical direction of data science across the organization. Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring f

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate busi

MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field with 2+ years of experience working in delivery and/or logistics (or 8+ years of industry experience in data science).

Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, offer all payout options, and benefit from card issuing, banking, risk, and fraud management services. We are looking for a Risk & Payments Intelligence Analyst to join our Risk & Fraud team.

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI.Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys.Wi

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth.Our comprehensive platform offers automated customer service handling, seamless returns/exchange manage

Our goal is to foster constructive dialogue at every level of the institution and to create the conditions for lasting organizational change. This is a high-leverage role for someone who wants to do meaningful, systems-level work — building the infrastructure, pipelines, and reporting tools that C

At least three years of industry experience working with Python and large-scale databases using SQL (data query, data cleaning, data transformation). Comfort communicating complex data science topics to audiences of variable technical capability. Worked with the data science team to scale our solu

Manage data scientist and data specialist team.Identify the efficient source for quality data collection,.Lead data collection and data mining processes.Ensure and guarantee data integrity.Analyze data and interpret data problems.Plan project, prioritize and streamline all planned data projects.Deve

Masters or PhD in in Computer Science, Mathematics, Statistics, Engineering, Physics, or related field preferred.

Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You’ll help design and analyze experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers. If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for: • Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning., • Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment., • Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production., • Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs. Responsibilities: • Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions, • Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks, • Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences, • Collaborate with engineers to implement and scale research findings into production systems, • Prototype and test research ideas rapidly, balancing rigor with iteration speed, • Author internal reports and external publications that contribute to the broader ML research community, • Partner with model providers to shape evaluation questions and support responsible model testing, • Contribute to the scientific integrity and transparency of the The Client leaderboard and tools Who is The Client? Created by researchers from_, The Client is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage. Why Join Us? Trusted by organizations like Google, OpenAI, Meta, xAI, and more, The Client is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback. Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI.,,, and. • High Impact: Your work will be used daily by the world’s most advanced AI labs., • Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier, • Exceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford. Requirements: • PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field, • Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback) Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow • Demonstrated ability to design and analyze experiments with statistical rigor, • Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation, • Comfortable working with real-world usage data and designing metrics beyond standard benchmarks, • Ability to translate research questions into practical systems and collaborate across engineering and product teams, • Passion for open science, reproducibility, and community-driven research What we offer: • The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location., • Competitive salary and meaningful equity, • Comprehensive healthcare coverage (medical, dental, vision), • The opportunity to work on cutting-edge AI with a small, mission-driven team, • A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI.

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare.Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base.We are rapidly growing and are

Senior Manager, Data Science at Teamworks.I lead the data scientists behind our Hockey and Basketball platforms, and right now we're hiring for both — one Data Scientist focused on Hockey, one on Basketball.These are teams I'd put up against anyone doing technical work in sports analytics today, w

On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. Bachelor’s degree in Computer Science, Applied

About Us About the Role We are looking for a data scientist who will bring a deep understanding of our sportswriting, our in-game experience, and the way our subscribers use The Athletic to help us make our best-in-class product even better. In this role, you will work closely with our data, product, growth, and engineering teams to develop advanced machine learning models. These models will help us understand our business, optimize and automate our workflows, and have our product make smarter recommendations. As a member of our small data science team, your work will have a significant impact at The Athletic. This role is 100% remote for candidates currently residing in either the United States or Canada. • Design, build, and implement mathematical models to drive key long-term product goals, like training a model that predicts which of our free users are most likely to subscribe, or recommending the right articles to the right users at the right time., • Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the job., • Use quantitative analysis to deeply understand what our users are saying, and to develop recommendations based on that analysis., • Design and develop data science pipelines in production., • Guide complex experiments., • Cultivate an outstanding data science environment., • 2-4 years of experience as a data scientist or data analyst with a proven ability to apply scientific methods to solve real-world problems on web scale data., • Strong working knowledge of a scripting language like R or Python and how to use it to train machine learning models and put them into production., • A solid understanding of SQL with an ability to efficiently pull and write to our data warehouses., • An understanding of subscription media and recommendation engines, with the ability to turn it into insights and optimizations., • Knowledge of statistical principles and how they apply to predictive modeling., • Strong verbal and written communication skills with ability to build cross-functional relationships., • Can explain sophisticated concepts to diverse audiences and craft compelling stories with data.The annual base salary range for this role is $125,000.00 - $135,000.00 USD. The total compensation offered for this position may vary based on factors such as education, experience, skills, and location. It may also include non-cash rewards and benefits. The base salary range is subject to change and may be modified in the future. The Athletic offers unique perks and benefits to all full-time employees based on their country of residence. Our comprehensive US benefits package includes: • Highly competitive, employer-contributed medical, dental, vision, basic life and disability insurance plans.- Savings accounts for medical, wellness, and childcare expenses.- 401k retirement savings plan and employer match.- Paid time off including paid sick leave, 12 paid holidays, 15 days of accrued vacation to start, and up to 20 weeks of Paid Parental Leave. For international candidates: Our global benefits packages offer similar benefits and perks, competitive to the local market. The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law. Click here to review our _, which describes how and when The Athletic Media Company collects, uses, and shares certain personal information of job applicants and prospective employees. Beware of fraudulent job recruiting schemes! Our recruiters use exclusively, and our team members will use an email address with @ domain. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information, such as bank accounts or social security numbers. If you have been contacted by someone claiming to be a member of the recruiting/HR team at The Athletic but operating from a different email address about a job offer, please report it as potential job fraud to the law enforcement and to _.

Experience leading the work of other data scientists or analysts is preferred.

Data Scientist – Machine Learning & Predictive Analytics.RDA is a digital transformation consultancy helping future-ready enterprises solve complex business challenges through AI, strategy, and customer experience.We’re expanding our data capabilities and seeking a Data Scientist to design and d

Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA.In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enh

Deep domain experience (8+ years) in the Insurance industry, ideally P&C or cyber/E&O, working closely with underwriting, claims, actuarial/portfolio, or reinsurance teams. We are hiring a Staff Data Scientist to define and lead the data science strategy for Coalition’s insurance business. Define

Financial planning assistance, bereavement, and jury duty leave.

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. • 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, • 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, • Product analytics experience in a SAAS company, • Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field US Zone 1 This role is not available in Zone 1 US Zone 2 $149,200 - $201,800 USD US Zone 3 $132,600 - $179,400 USD