Data engineer jobs in Vallejo, CA - 15,724 jobs

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month-a number that's growing rapidly for one simple reason: everyone can be curious. We are hiring for an experienced Data Scientist to accelerate our growth initiatives and help Perplexity expand its reach globally. You'll work closely with our Growth, Marketing, Product, Enterprise, and Partnership functions, using data-driven insights to optimize strategies across paid acquisition, organic growth, product development, retention, monetization, and strategic partnerships. This role offers the chance to significantly influence how our growth strategies evolve and scale in a dynamic startup environment. Responsibilities Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across all growth initiatives. Perform deep-dive analyses on user behavior, conversion funnels, and retention patterns to drive both paid and organic growth. Lead user research and segmentation analysis to inform growth strategies, market targeting, product development, and paid campaign optimization. Design, implement, and interpret A/B tests to continuously enhance marketing performance, product features, and overall user experiences. Define, implement, and visualize key growth metrics across paid acquisition, organic channels, activation, retention, and monetization, creating dashboards to track business performance and marketing ROI. Develop data models and pipelines to improve analytics efficiency, enable self-service analytics, and support strategic decision-making. Support revenue growth initiatives through pricing analysis, subscription optimization, and enterprise growth strategies. Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization, budget allocation, and sustainable growth. Conduct analysis on social media performance, SEO initiatives, and marketing spend to maximize reach, engagement, and cost-effectiveness. Qualifications Have 6-8+ years of experience working as a data scientist or related role with growth focus. Have experience with growth disciplines including: paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and/or conversion optimization. Are proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker). Have experience designing, implementing, and analyzing A/B tests and statistical experimentation. Take ownership and are a self-starter who thrives with open-ended problems and cross-functional collaboration. Have experience with data modeling and pipeline development (e.g., dbt, Airflow). Preferred Qualifications Previous experience at a high-growth startup or early-stage company in a growth-focused data science role. Hands-on experience with dbt and data engineering/analytics engineering. Experience with Snowflake and modern data stack tools. Are comfortable with Python for data analysis and automation. Machine learning experience, particularly in growth applications (LTV prediction, churn modeling, attribution modeling, recommendation systems). Experience with marketing attribution, cohort analysis, funnel optimization, and growth accounting frameworks. The cash compensation range for this role is $200,000 - $250,000 Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan. #J-18808-Ljbffr

Arkestro's Predictive Procurement accelerates enterprise spend transformation, using AI and game theory to unlock trapped savings and reduce risk, enabling teams to influence significantly more spend. By combining AI with deep Negotiation Science, Supplier Science, and Process Science procurement teams can improve win-rates while strengthening supply chain agility. As a fast-growing tech company, we're looking for builders and innovators - people who thrive in the face of ambiguity and who have a selfless dedication to do whatever it takes to make Arkestro and our customers successful. We believe in egoless execution and we are looking for people who will work together to solve hard problems. If you're excited to help shape our future, contribute to our company culture, and help to drive our business forward there is a tremendous opportunity for you here at Arkestro! See Arkestro in action at arkestro.com. About this Role We are looking for an experienced data scientist to join our growing Data Team and help drive the development of cutting-edge data, machine learning, and AI solutions that optimize procurement for our enterprise customers. The Staff Data Scientist will work closely with data engineers, senior stakeholders, and other data scientists to design and implement scalable data pipelines, data algorithms, and ML models. You will take ownership of major data science initiatives such as entity resolution, pricing algorithms, demand forecasting, recommendations, and automating workflow decisions. The role requires strong technical skills, business acumen, and the ability to effectively communicate with both technical and non-technical stakeholders across the organization. Responsibilities Leading Lead cross-team initiatives requiring data science expertise, driving alignment between Engineering, Product, Customer Success, and Data teams Participate actively in discussions with Product Management, shaping what we build and why based on data insights and technical feasibility Build and maintain trust with Customer Organization through clear communication of DS capabilities, limitations, and roadmap Present complex technical work to executive leadership and non-technical stakeholders in ways that drive strategic decisions Own the data science roadmap and its evolution in partnership with VP Data, DS Leads, and Product leadership Set clear expectations and clearly communicate project statuses to stakeholders throughout the company Foster a culture of continuous learning through mentorship of junior data scientists and sharing of best practices Building Design, prototype, and productionize machine learning models to optimize procurement processes Build and deploy AI systems into the procurement workflow, including robust eval frameworks Collaborate with Data Engineers on ML infrastructure, pipelines, and operations to support model training and deployment Define and evolve Data Science processes and practices Keep a startup mindset: ship early and collect feedback sooner than later Stay up-to-date (and keep the team up to date) on latest techniques and tools in ML & AI Necessary Qualifications 6+ years experience in data science or related quantitative field Strong expertise in machine learning, statistics, and data modeling Proficiency (6+ years experience) in Python and SQL Experience with AWS, Snowflake, dbt or similar cloud data stack Proven ability to communicate complex technical concepts to non-technical stakeholders and drive consensus across teams with competing priorities Track record of leading cross-functional initiatives with measurable organizational impact beyond a single team BS/MS in Computer Science, Statistics, Applied Math or related field Ideal Qualifications Demonstrated ability to mentor and elevate technical talent across teams, not just direct reports PhD in quantitative field Experience applying ML to procurement/supply chain data Knowledge of game theory and mechanism design Technologies and tools we use Data Motion: Snowflake, dbt, Pinecone, OneSchema ML and DS: Python, pandas, SQLAlchemy, Pydantic Workflow and Deployment: Github, AWS, Datadog, Code Climate Documentation and coordination: Jira, Confluence, Slack, Fellow, Lattice, Google Workspace Pay Range $190,000 - $220,000 USD Benefits Competitive salary and startup equity Medical, Dental, Vision insurance premiums covered up to 100% (employee only) 401K discretionary matching Unlimited PTO A remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visits Annual budget of $1,000 for learning and professional development Diverse, inclusive, highly collaborative, and vibrant culture Equal Opportunity Employer Arkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Disclaimer Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice. #J-18808-Ljbffr

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. Develop analytic data sets and use statistical software to analyze data sets as requested. Use third party software tools in the development of queries and visualizations. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 7+ years of experience in data analysis software, with data science experience preferred. 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. Strong problem-solving skills with an emphasis on data analytics. Excellent written and verbal communication skills for coordinating across teams. Nice to Have Experience in the healthcare setting preferred. Experience with Epic EMR data preferred, but not required. Experience with healthcare financials/claims preferred, but not required. Base Salary Range $157,250-$212,750 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. #J-18808-Ljbffr

Employment Type Full time Department Engineering, product, & design Graphite builds consumer-quality tools for modern software engineering teams, so they can ship faster and create amazing products. Our product Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster. Anyone can start using Graphite individually without needing their coworkers to change tools - we seamlessly sync code changes and reviews. We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we're passionate about creating products & workflows that help fast-moving eng teams achieve more. Our company We're a small-but-mighty team of 70+ based in Manhattan's Soho, now expanding with a new office in San Francisco. Our passionate and rapidly growing user base includes top engineering teams at companies like Datadog, Vercel, Ramp, and Snowflake. We've raised a $52mil Series B (featured in TechCrunch) led by Christine Esserman, following a previous $20mil Series A from Peter Levine at Andreessen Horowitz (who led GitHub's Series A). Other investors include folks like Tom Preston-Werner (founder of GitHub), Sam Lambert (Planetscale CEO & ex-GitHub CTO), Sebastian Markbåge (creator of React), and many more. Our culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership - both literally (with equity) and in the responsibility and scope you'll have as a part of our early team. Outside of work you'll find us brewing espresso drinks, producing music, or practicing yoga. We can't wait to see what you'll add to the mix! About the Role Graphite is growing rapidly, and we're looking for a data scientist to support product direction and growth. What you'll do Analyze our data (10TB) and help us answer data-driven questions; Design, develop and deploy data models, algorithms, and tools to support data analysis and visualization; Build and maintain a scalable data pipeline that collects, processes and stores data from various sources, ensuring data accuracy, reliability, and availability. Currently we're based on DBT + Segment + Redshift; Collaborate with software engineers, data scientists, and product managers to ensure data-driven decision making across the organization; Perform exploratory data analysis and statistical modeling to identify insights and trends that drive product and business decisions; Develop and implement data quality and data governance standards to ensure data accuracy and consistency; Work with stakeholders to understand their data needs and translate them into technical requirements; Stay up-to-date with the latest technologies, trends, and best practices in data engineering, data science, and analytics, and recommend new solutions and approaches that can benefit the company. What we're looking for Bachelor's or Master's degree in Computer Science, Data Science, or related field; At least 4 years of experience in data engineering, with a focus on building scalable data pipelines and data models; Strong programming skills in SQL; Experience with cloud platforms such as AWS, GCP, or Azure, and their respective data services (e.g., S3, Redshift, BigQuery); Experience with data visualization tools such as Tableau, Looker, or Power BI; Strong problem-solving and analytical skills, with experience in statistical modeling; Excellent communication skills and ability to work collaboratively with cross-functional teams; and Self-starter with the ability to work independently in a fast-paced startup environment. Life at Graphite Competitive comp: ($160-200k base + substantial equity). We're backed by some of the best investors and excited to offer competitive compensation packages. Role trajectory. We're excited to build a team whose responsibilities and comp to grow as we do. Benefits. Top-tier health, dental, and vision coverage and 16 weeks paid parental leave. Time to decompress. We ask that our team take 4 weeks of vacation a year to unplug and unwind. Relocation expenses. We're an in-person, NYC/SF-based team, and we're happy to help with your relocation expenses! The team that eats together. Company-paid lunch, snacks, and coffee during workdays. Commuter perks. Ride around NYC on us! As a team, we're very aware of the systemic structural issues that have created inequalities for many communities, especially in the tech industry. We recognize that women and underrepresented minorities are statistically less likely to apply for a role that they feel unqualified for. If you are interested in this role but you're concerned about not meeting all requirements, we encourage you to apply anyway - we'd love to get to know you and see if there's a place for you here at Graphite! #J-18808-Ljbffr

A leading global technology company in San Francisco seeks a senior software engineer with expertise in anomaly detection and machine learning. You will lead projects to develop scalable cloud-based solutions, collaborating with teams and mentoring others in advanced AI techniques. A PhD or equivalent experience is essential, along with proven leadership in cloud architecture. The role offers a competitive salary and extensive benefits including paid time off and flexible working arrangements. #J-18808-Ljbffr

A technology company based in San Francisco is seeking a Data Scientist to enhance customer experience and retention. The ideal candidate will work with cross-functional teams, employing data analysis to influence decision-making and improve customer satisfaction. Applicants should hold a Master's degree and have strong skills in SQL and Python, along with experience in business intelligence tools. This position offers a competitive salary range from $108,000 to $189,000 annually. #J-18808-Ljbffr

A leading financial technology firm is looking for an entrepreneurial Data Scientist to build data analysis frameworks. This role involves harvesting insights from complex data and requires 1+ years of experience with datasets. Responsibilities include ensuring data correctness and performing analyses on trading systems. The base salary ranges from $150,000 to $190,000, complemented by a comprehensive benefits package including medical coverage and paid time off. #J-18808-Ljbffr

A leading imaging research institute is looking for a highly skilled Data Scientist to develop innovative algorithms and software tools for image analysis utilizing advanced microscopy techniques. The ideal candidate will have a Ph.D. and expertise in image processing, as well as proficiency in Python and C++. This hybrid role requires in-person collaboration and offers a competitive salary range of $153,000 - $210,100. We value critical thinking and communication skills in our collaborative team environment. #J-18808-Ljbffr

Arcade is building the world's first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we're building the infrastructure to make that real. We've raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke. Arcade is headquartered in San Francisco's Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We're pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we're building fast. Role Summary We are seeking an analytical, entrepreneurial Data Scientist to lead Arcade's analytics, experimentation, and data science capabilities. This is a highly cross‑functional role that combines business analytics, product experimentation, and data platform leadership. The ideal candidate is passionate about data‑driven decision‑making, hands‑on analysis, and building tools that help guide business and product strategy. You will work directly with Arcade's leadership team-including Product, Go‑To‑Market, and Operations-to translate strategic objectives into measurable insights, models, and dashboards. You will own the company's data stack, ensuring the reliability and scalability of our analytics infrastructure. This role is based at Arcade's headquarters in the Presidio, San Francisco (4-5 days per week on‑site). Responsibilities Manage all aspects of Arcade's analytics, testing, and business intelligence initiatives Partner with business leadership to design and maintain KPIs that govern company performance and resource allocation Lead the design, implementation, and interpretation of A/B tests to inform product and marketing decisions Develop and automate dashboards and reporting systems; train business users to self‑serve insights Build scalable analysis frameworks to support Arcade's AI‑driven product design and commerce platform Collaborate with Product Management, Go‑To‑Market and Operations teams to develop tools and models that guide business operations Conduct ad‑hoc strategic and financial analyses to support the CEO and Chief of Staff in company‑wide planning and decision‑making Ensure best practices in data quality, experimentation methodology, and statistical rigor Experience 2-3 years of experience in a data science, analytics, or business intelligence role Proficiency in SQL and Python; strong experience using Jupyter notebooks for analysis and presentation Demonstrated experience designing and analyzing A/B tests and other causal inference methods Hands‑on familiarity with Hex, Tableau, or Looker-must have experience building user‑facing dashboards Experience with BigQuery and the Google Cloud data ecosystem preferred; experience with any major cloud analytics platform required Strong understanding of data modeling, ETL pipelines, and data warehouse architecture Experience building predictive or statistical models that directly inform product, marketing, or business outcomes Excellent communication skills, with the ability to synthesize complex quantitative findings into clear, actionable recommendations for non‑technical stakeholders Nice to Have Experience in e‑commerce, marketplaces, or AI‑driven product platforms Familiarity with dbt, Retool, or modern data stack tools Experience integrating analytics into workflow tools and operational decision‑making Strong business intuition and ability to connect analytical insights to strategic priorities Qualifications Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, Engineering, or a related quantitative field Strong analytical and problem‑solving skills with high attention to detail Demonstrated ability to operate independently and thrive in a fast‑paced startup environment Proven ability to work cross‑functionally and influence through data and insight Arcade is an Equal Opportunity Employer committed to inclusion and diversity. We welcome people of different backgrounds, experiences, abilities, and perspectives and will consider all qualified applicants for employment in accordance with all state, local, and federal laws. #J-18808-Ljbffr

Traditional credit was built for people who already have money. Requirements for credit history, collateral, and costly underwriting create insurmountable barriers for those who need capital most. Over 1.4 billion people lack access to credit. A vendor in Lagos earns cash daily but can't prove a steady income. A Colombian nurse with years of perfect informal repayments remains invisible to banks. We built an alternative called Credit. Since December 2024, it has issued hundreds of thousands of undercollateralized loans using stablecoins. People from around the world have used these loans to pay for things like groceries, medicine, and transportation. Backed by $6.6 million from Paradigm and Nascent, we're scaling a system that has already reached half a million unique borrowers. Help us take it to the next level. About the role We seek a talented data scientist to expand our data infrastructure and drive insights across our products, including Credit, our leading undercollateralized lending system. You'll design key metrics, develop analytics infrastructure, and transform onchain data into strategic insights that shape product and roadmap decisions. Stack Python SQL Grafana/Prometheus Statistical modeling and visualization tools Blockchain data and indexing tools (Dune, Shovel) Key responsibilities Work with product and research teams to design north star metrics Build data pipelines, scalable infrastructure, and dashboards Transform key metrics and trends into actionable guidance for product, roadmap, and GTM Design and analyze A/B tests and experiments Conduct in-depth analyses of user behavior and usage patterns Requirements 4+ years of experience as a Data Scientist or Research Analyst Proficiency in Python, SQL, and data analysis tools Understanding of EVM-compatible chains, smart contract data, and indexing tools Exceptional problem-solving skills, attention to detail, and ability to drive initiatives independently Nice to have Proficiency with Grafana, Dune, or Prometheus Experience building large-scale data pipelines and infrastructure Strong understanding of DeFi protocol mechanics (lending, yield vaults, ERC4626, etc.) Experience with TypeScript and React-based frameworks Divine Research is an equal opportunity employer. #J-18808-Ljbffr

A leading AI organization in San Francisco seeks a Data Scientist to enhance its checkout and payments systems. The role requires strong analytical skills and fluency in SQL and Python. You will lead experiments that drive revenue and improve user experience through data-backed strategies. An ideal candidate has over 5 years in quantitative roles, especially in fintech environments. The position supports a hybrid work model and offers relocation assistance. #J-18808-Ljbffr

A leading data analytics firm in Los Angeles is seeking a Data Scientist to enhance their AdEngage platform and measure ad effectiveness. The ideal candidate has over 3 years of experience in coding with Python, model tuning, and SQL proficiency. Offering a competitive salary and flexible time off, this role supports a hybrid working environment with a focus on innovation in advertising analytics. #J-18808-Ljbffr

At Flux, we rely on insightful data to power our systems and solutions. We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data's full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future. LOCATION San Francisco or remote EMPLOYMENT TYPE Permanent What You'll Do Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products Execute analytical experiments to help solve problems across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and interpret data with clear objectives in mind Implement analytical models in production by collaborating with software developers and machine-learning engineers Objectives of Role Collaborate with product design and engineering teams to develop an understanding of needs Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes by using analytics for meaningful insights Keep current with technical and industry developments Interested in this role, feel free to apply and we'll get back to you if we see a fit. #J-18808-Ljbffr

ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent‑ready reports. OUR TRACTION 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Data Scientist, Knowledge Graphs to build and scale the biological knowledge layer that powers the Mithrl AI Co-Scientist. This role focuses on ingesting and harmonizing the world's most important biological data sources and curating the relationships that allow our system to reason across pathways, targets, diseases, compounds, and multimodal datasets. You will ingest data from public consortia and well maintained peer reviewed sources and unify them into a coherent, versioned knowledge graph. You will identify new node types, define relationship schemas, harmonize variable IDs, and ensure metadata remains consistent across all integrated sources. You will also build automated curation pipelines that expand and refine the knowledge graph using both data driven methods and domain logic. Beyond ingestion and curation, you will create the tools and frameworks that allow users to interact with the knowledge graph and even build their own custom graphs based on the results they generate inside Mithrl. Your work will form the foundation for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation inside the AI Co-Scientist. WHAT YOU WILL DO Ingest, harmonize, and version high value public biological datasets such as CellxGene, Gemma, ARCHS4, ENCODE, GTEx, TCGA, etc. Ingest well maintained peer reviewed knowledgebases including OpenTargets, HPA, and similar resources Build automated pipelines to curate and expand relationships inside the knowledge graph Define and evolve schemas for node types, relationships, metadata rules, and ontology alignment Harmonize variable IDs and metadata fields across all imported sources to create a unified knowledge layer Build and maintain versioning, change tracking, and provenance systems for all data and relationships Develop the framework that allows users to build custom knowledge graphs from the analyses they run inside Mithrl Build features that allow users to explore, query, and interact with their graphs Work closely with ML engineers, bioinformatics teams, and discovery application teams to ensure the knowledge graph supports downstream reasoning and analysis Validate the correctness, completeness, and integrity of the knowledge graph across releases WHAT YOU BRING Required Qualifications Strong experience in data science, bioinformatics, computational biology, or a related field Experience working with biological knowledgebases, public datasets, or ontology driven systems Familiarity with graph data structures, relationship modeling, and knowledge graph concepts Experience harmonizing heterogeneous biological datasets and mapping variable IDs across sources Proficiency in Python and scientific computing libraries Ability to build ingestion pipelines for structured or semi structured biological data Strong understanding of metadata standards, biological ontologies, and domain logic Ability to translate complex biological information into structured, machine readable representations Excellent communication skills and comfort collaborating across engineering and scientific teams Nice to Have Experience with graph databases or graph query languages Experience with KG curation, link prediction, relationship extraction, or graph based ML Familiarity with multi modal data integration Previous work on biological or chemical knowledge graphs Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc. Prior experience in a tech bio startup or scientific software environment WHAT YOU WILL LOVE AT MITHRL You will build the core knowledge layer that the AI Co-Scientist uses to reason about biology Team: Join a tight‑knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high‑energy, in‑person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top‑tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. #J-18808-Ljbffr

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at ****************** About the team: The Analytics team at Evenup plays a critical role in driving data-informed decision-making across the organization. We partner closely with Product, Engineering, Operations, and Executive teams to uncover insights, build scalable data solutions, and enable a culture of data-driven decision making and continuous improvement. Our team is responsible for everything from foundational data modeling and reporting to advanced analytics and forecasting. We are looking for a curious, impact-driven early career Economist / Data Scientist to join our fast-paced, data-driven team. You'll work at the intersection of data, economics, and strategy to drive high-impact decisions across pricing, growth, and product monetization. You will apply your expertise in causal inference, econometrics, and behavioral analysis to answer some of the most critical questions in our business, and shape the way we use economics and data science to drive long-term value. The ideal candidate for this role may be a recent economics PhD graduate with relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to data management and data science. More senior candidates are also welcome to apply. Please Note: This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco or Toronto. What You'll Do Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform product direction and business priorities Partner with Product, and Ops teams to define KPIs and lead the analytics strategy for key product areas, including causal inference, cohort analysis, retention modeling and experimentation design Develop forecasts for ARR, conversion, churn, and usage using economic and behavioral data Collaborate with data engineering, analytics, and product to shape best practices in experimentation, forecasting, and decision support What We're Looking For We're looking for someone with deep expertise in both economics and applied data science with the ability to frame business questions into well-scoped analytical or modeling problems. Graduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused roles A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one Proven ability to identify and measure causal business impacts using appropriate statistical techniques, especially in complex or observational settings Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality Strong verbal and written communication skills - ability to distill complex findings from models and economic reasoning into compelling insights and communicate effectively with technical and non-technical audiences Bonus Points Prior full time or intern experience in SaaS or B2B subscription businesses and/or in the legal domain Familiarity with experimentation platforms (e.g., Optimizely, internal tools) and BI tools (e.g., Looker, Tableau) Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page evenuplaw.com/careers or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑****************** email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at *****************************. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

Why Here? Superhuman is the AI productivity platform unlocking superhuman potential for everyone through innovative apps and agents integrated with over 1 million applications. The Growth Data Science team serves as trusted experts who uncover insights to shape marketing, product, and growth strategies driving company-wide outcomes. They leverage large datasets to break down complex business problems and deliver high-impact solutions. What Will You Do? As a Data Scientist at Superhuman, you will partner closely with growth product, engineering, and marketing teams to design experiments and conduct advanced analyses informing product strategy. You will mine large datasets to uncover user behavior patterns, enabling new marketing touchpoints and optimizations across email, in-product, and push channels. Additionally, you will develop causal inference and machine learning models to deepen user insights, driving engagement, retention, and feature adoption through evidence-based decision-making. #J-18808-Ljbffr

Fugro's innovation teams are responsible for carrying out developments serving both internal users and Fugro clients. With Innovation centers in Canada, Brazil, USA, and other key locations around the world, you will be joining a global innovation group with a tradition of developing best‑of‑class applications in the Geo‑data space. Our engineers are experts in domains such as spatial data, cloud computing, deep learning, and process automation. As a Data Scientist at Fugro, you will work at the forefront of applied AI and machine learning, shaping the future of intelligent productivity tools within Fugro. We are looking for talented individuals who have a passion for understanding what makes an AI solution work and how to measure its performance, driven by curiosity and a desire to impact, transforming complex data into tangible improvements and new innovative products. What You Will Do Develop and maintain high‑quality software during its lifecycle; Research, design, and implement machine learning models to enhance our data solutions; Work closely with engineers and product managers to bring AI models from prototype to production; Implement software projects using Python and C#, or similar technologies; Ensure regular communication with other developers and teams involved in the development process; Implement, test, and perform system and functionality corrections (bug fixes); Act as a member throughout the delivery process of agile methodologies using Scrum; Build and maintain efficient and reliable/stable source code; Collaborate with team members at all stages, from prototype, production and implementation/progress throughout the project; Solve complex real‑world challenges effectively, efficiently and creatively; Act as a quality keeper by documenting code, processes, architectural decisions, increasing code coverage continuously. Please submit your resume/CV in English What We Are Looking For Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related fields 6+ years of experience coding with Python and/or C#; Proven experience with scikit‑learn, pandas, and other data‑related frameworks; Experience with API development; Solid understanding of database concepts and SQL; Familiarity with cloud platforms (e.g., AWS) and GitHub; Familiarity with Agile development methodologies; Excellent problem‑solving and analytical skills; Actively integrate AI tools and techniques to accelerate development cycles and improve software quality; At least Upper‑Intermediate level of spoken and written English. Bonus Points Cloud Certifications, preferably AWS; Familiarity with GitHub and GitHub Actions; Previous experience working with geospatial data. How We Work At Fugro We believe in alignment, autonomy, and personal accountability throughout the product life cycle. Our collaborative work environment blends the flexibility of remote work with in‑office collaboration, fostering a culture built on trust. About Fugro Fugro is the world's leading independent provider of geo‑intuition and asset integrity solutions for large construction, infrastructure, and natural resources. We collect and analyze data about the Earth and the structures built upon it, providing comprehensive information and advice to our clients to help them make better decisions about their assets and projects. We rely on innovation to push the transition toward net‑zero carbon, safe infrastructure, and climate resilience to deliver on our promise to create a safe and livable world. Why would you join us? International Geo‑data environment - We work for and with the entire world. We work hard to create and maintain an inclusive culture. Challenging projects and exciting opportunities - We are ahead of the curve and have the best projects to work on. In addition, exciting opportunities arise around the world every day. Freedom to grow faster - If you are prepared to take the initiative, ample opportunities locally or worldwide await you at Fugro. Disclaimer for recruitment agencies Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated. #J-18808-Ljbffr

Join Prior Labs! Who We Are: Prior Labs is building breakthrough foundation models that understand spreadsheets and databases - the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We're tackling this $100B+ opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence. Our Momentum: We're the world-leading organization working on structured data, and we're accelerating fast. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for structured data. We've hit 2.2M+ downloads, 5,000+ GitHub stars, and growth is accelerating. We're now building the next generation of models that combine AI advancements with specialized architectures for structured data. What's Next: With €9M in pre-seed funding from top-tier investors and backing from leaders at Hugging Face, DeepMind, and Silo AI, we're scaling fast and building our team. This is the moment to join: help us shape the future of structured data AI. Read our manifesto. About The Role You'll join our data science team working with an entirely new class of AI models. As a Data Scientist at Prior, you'll be a critical link between our breakthrough technology and real-world applications. As a super-user of our foundation models, you'll deeply understand our technology's capabilities, demonstrate compelling use cases, and help shape our product roadmap. In this multifaceted role, you'll wear several hats and connect different aspects of our business. Here's how you'll drive impact across key areas: Be a Power User & Tinkerer: Dive deep into our novel TFMs (like TabPFN), experiment relentlessly using unique capabilities like ICL, and uncover new applications. Demonstrate Groundbreaking Value: Build compelling proof-of-concepts showing how native tabular AI solves problems traditional methods can't. Shape Agentic Data Science: Contribute hands-on to our vision of AI as a true reasoning partner for automated discovery. Grow With Us: Make a significant impact in a well-funded startup with strong momentum. How You'll Drive Impact: Applied Data Science & Experimentation: Identify high-impact use cases; build compelling PoCs/demos showcasing TFM advantages; develop best-practice workflows; benchmark rigorously. Customer Success: Engage users to understand challenges; showcase TFM value via technical demos linked directly to user business objectives; guide onboarding for quick wins using ICL; translate feedback into technical insights. Community & Education: Design/deliver engaging workshops/tutorials; create content explaining the TFM paradigm shift vs. LLMs/traditional ML; empower community members (Kaggle, GitHub); share your enthusiasm and findings. What We're Looking For: Passionate Tinkerer & Power User: Deep curiosity for hands-on exploration of cutting-edge AI (PFNs, ICL, native architectures). Proven Data Scientist: PhD/Masters in a quantitative field + 3 yrs experience building/deploying ML/AI (industry, Kaggle, open-source). Technical Expertise: Deep Python & data science ecosystem knowledge; strong software engineering practices. Communicator: Ability to translate complex tech into tangible value and explain concepts clearly. Excitement for our Mission: Driven to solve fundamental AI problems for structured data. What Makes You Special (Bonus Points): Kaggle: Grandmaster/Master/Expert status. Experience: Technical Consulting, Solutions Engineering, MLOps, Developer Advocacy. Contributions: Open-source libraries, data science tools. Portfolio: Blog posts, talks, projects showcasing technical communication. Location Offices in San Francisco, NYC, Berlin, and Freiburg, with flexibility to work across our locations Benefits Competitive compensation package with meaningful equity 30 days of paid vacation + public holidays Comprehensive benefits including healthcare, transportation, and fitness Work with state-of-the- AI architecture, substantial compute resources and with a world‑class team Our Commitments We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box." We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are. #J-18808-Ljbffr

I'm a paragraph. Click here to add your own text and edit me. It's easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a great place for you to tell a story and let your users know a little more about you. LOCATION EMPLOYMENT TYPE Permanent What You'll Do I'm a paragraph. Click here to add your own text and edit me. I'm a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It's easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I'm a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. I'm a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It's easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I'm a great place for you to tell a story and let your users know a little more about you. Who You are I'm a paragraph. Click here to add your own text and edit me. I'm a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It's easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I'm a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. I'm a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It's easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. #J-18808-Ljbffr