Data engineer jobs in California - 31,488 jobs

Cybersecurity Engineer III **
Simventions, Inc.-Glassdoor ✪ 4.6
Data engineer job in San Diego, CA
SimVentions, consistently voted one Virginia's Best Places to Work, is looking for an experienced cybersecurity professional to join our team! As a Cybersecurity Engineer III, you will play a key role in advancing cybersecurity operations by performing in-depth system hardening, vulnerability assessment, and security compliance activities in accordance with DoD requirements. The ideal candidate will have a solid foundation in cybersecurity practices and proven experience supporting both Linux and Windows environments across DoD networks. You will work collaboratively with Blue Team, Red Team, and other Cybersecurity professionals on overall cyber readiness defense and system accreditation efforts. **Position is contingent upon award of contract, anticipated in May of 2026. ** Clearance: An ACTIVE Secret clearance (IT Level II Tier 5 / Special-Sensitive Position) is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance. Requirements: In-depth understanding of computer security, military system specifications, and DoD cybersecurity policies Strong ability to communicate clearly and succinctly in written and oral presentations Must possess one of the following DoD 8570.01-M IAT Level III baseline certifications: CASP+ CE CCNP Security CISA CISSP (Associate) CISSP GCED GCIH CCSP Responsibilities: Develop Assessment and Authorization (A&A) packages for various systems Develop and maintain security documentation such as: Authorization Boundary Diagram System Hardware/Software/Information Flow System Security Plan Privacy Impact Assessment e-Authentication Implementation Plan System Level Continuous Monitoring Plan Ports, Protocols and Services Registration Plan of Action and Milestones (POA&M) Conduct annual FISMA assessments Perform Continuous Monitoring of Authorized Systems Generate and update test plans; conduct testing of the system components using the Assured Compliance Assessment Solution (ACAS) tool, implement Security Technical Implementation Guides (STIG), and conduct Information Assurance Vulnerability Management (IAVM) reviews Perform automated ACAS scanning, STIG, SCAP checks (Evaluate STIG, Tenable Nessus, etc.) on various standalone and networked systems Analyze cybersecurity test scan results and develop/assist with documenting open findings in the Plan of Action and Milestones (POA&M) Analyze DISA Security Technical Implementation Guide test results and develop/assist with documenting open findings in the Plan of Action and Milestones Preferred Skills and Experience: A combined total of ten (10) years of full-time professional experience in all of the following functional areas: Computer security, military system specifications, and DoD cybersecurity policies National Cyber Range Complex (NCRC) Total Ship Computing Environment (TSCE) Program requirements and mission, ship install requirements, and protocols (preferred) Risk Management Framework (RMF), and the implementation of Cybersecurity and IA boundary defense techniques and various IA-enabled appliances. Examples of these appliances and applications are Firewalls, Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Switch/Routers, Cross Domain Solutions (CDS), EMASS and, Endpoint Security Solution (ESS) Performing STIG implementation Performing vulnerability assessments with the ACAS tool Remediating vulnerability findings to include implementing vendor patches on both Linux and Windows Operating systems Education: Bachelor of Science in Information Systems, Bachelor of Science in Information Technology, Bachelor of Science in Computer Science, Bachelor of Science in Computer Engineering Compensation: Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements. The projected annual compensation range for this position is $90,000 - $160,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers. Benefits: At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs. We offer: Medical, dental, vision, and prescription drug coverage Employee Stock Ownership Plan (ESOP) Competitive 401(k) programs Retirement and Financial Counselors Health Savings and Health Reimbursement Accounts Flexible Spending Accounts Life insurance, short- & long-term disability Continuing Education Assistance Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military) Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling Supplemental Benefit Program Why Work for SimVentions?: SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together. Support Our Warfighters SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world. Drive Customer Success We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact. Get Involved in Giving Back We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year. Build Innovative Technology SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success. Work with Brilliant People We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture. Create Meaningful Solutions We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve. Employees who join SimVentions will enjoy additional perks like: Employee Ownership: Work with the best and help build YOUR company! Family focus: Work for a team that recognizes the importance of family time. Culture: Add to our culture of technical excellence and collaboration. Dress code: Business casual, we like to be comfortable while we work. Resources: Excellent facilities, tools, and training opportunities to grow in your field. Open communication: Work in an environment where your voice matters. Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development. Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more. Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite. Food: We have a lot of food around here! FTAC
$90k-160k yearly 4d ago

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Engineer III
Marriott International, Inc. 4.6
Data engineer job in Monterey, CA
Additional Information Job Number25205673 Job CategoryEngineering & Facilities LocationMonterey Marriott, 350 Calle Principal, Monterey, California, United States, 93940VIEW ON MAP ScheduleFull Time Located Remotely?N Type Non-Management Pay Range: $31.60-$31.60 per hour POSITION SUMMARY Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues with little to no supervision. Perform preventive maintenance on tools and equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment. Maintain maintenance inventory and requisition parts and supplies as needed. Assure each day's activities and problems that occur are communicated to the other shifts using approved communication programs and standards. Display advanced ability to read standard blue prints and electrical schematics concerning plumbing and HVAC. Display above average engineering operations skills and strong general mechanical ability. Display proficiency in at least three of the following categories, above average skills in three more of the following categories and basic skills in the remaining categories: air conditioning and refrigeration, electrical, mechanical, plumbing, pneumatic/electronic systems and controls, carpentry and finish skills, kitchen equipment, vehicles, energy conservation, and/or general building management. Display solid knowledge and skill in the safe use of hand and power tools and other materials required to perform repair and maintenance tasks. Safely perform highly complex repairs of the physical property, electrical, plumbing and mechanical equipment, air conditioners, refrigeration and pool heaters - ensuring all methods, materials and practices meet company standards and Local and National codes - with little or no supervision. Troubleshoot and perform repairs on all types of equipment (e.g., pump and motor replacement), plumbing (e.g., plunge toilets and unclog drains), electrical equipment including lamps, air conditioners, HVAC equipment, cosmetic items, extension cords, vacuum cleaners, internet devices, replace electrical switches and outlets, and program TV's. Use the Lockout/Tagout system before performing any maintenance work. Display advanced knowledge of all engineering computer programs related to preventative maintenance, energy management, and other systems, including devices that interact with such programs. Perform advanced troubleshooting of hotel Mechanical, Electrical, and Plumbing (MEP) systems. Display the ability to train and mentor other engineers as necessary. Display ability to perform Engineer on Duty responsibilities, including readings and rounds. Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications; and properly store flammable materials. Ensure uniform and personal appearances are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests' service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Adhere to quality expectations and standards. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Speak with others using clear and professional language. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and heavier lifting or movement tasks with assistance. Move up and down stairs, service ramps, and/or ladders. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Enter and locate work-related information using computers. Perform other reasonable job duties as requested. PREFERRED QUALIFICATIONS Education: High school diploma or G.E.D. equivalent and vocational or technical background. Related Work Experience: Extensive experience and training in general maintenance, electrical or refrigeration, parts inventory and requisition, exterior and interior surface preparation and painting. At least 2 years of hotel engineering/maintenance experience. Supervisory Experience: No supervisory experience. License or Certification: Valid Driver's License REQUIRED QUALIFICATIONS Universal Chlorofluorocarbon (CFC) Certification Must meet applicable state and federal certification and/or licensing requirements. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. Marriott International considers for employment qualified applicants with criminal histories consistent with applicable federal, state and local law. Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of “Wonderful Hospitality. Always.” by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that's synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you're happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand's namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you'll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That's The JW Treatment™. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.
$31.6-31.6 hourly 4d ago
Principal Data Scientist
Tarana Wireless Inc. 4.1
Data engineer job in Milpitas, CA
Join the Team That's Redefining Wireless Technology At Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible. We're looking for anexceptional Principal Data Scientist to join our team and drive innovation through advanced analytics and machine learning. In this lead role, you will shape our data science strategy, mentor talented team members, and deliver high-impact solutions that transform how we leverage data to achieve business objectives. What You'll Do: Lead end-to-end data science projects from problem formulation through model development, deployment, and monitoring in production environments. Design and implement advanced machine learning algorithms, statistical models, and AI solutions that drive business value. Provide technical leadership and mentorship to junior data scientists and data engineers, fostering a culture of excellence and continuous learning. Partner with engineering teams to architect scalable data pipelines and ML infrastructure. Establish best practices for experimentation, model training, model evaluation, and monitoring. Stay current with the latest advancements in data science, machine learning, and artificial intelligence. Collaborate with cross‑functional teams, including product, engineering, and business stakeholders, to identify and address key business challenges. Present findings and recommendations to senior leadership and other stakeholders. What You'll Need: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. 10+ years of experience in data science or a related field (at least the last 5 years in data science), with a proven track record of leading impactful projects that achieve clear customer outcomes through product delivery. Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, computer vision, or reinforcement learning. Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, scikit‑learn). Proficiency in SQL and experience working with large‑scale datasets and distributed computing frameworks (Spark, Dask). Demonstrated experience deploying models to production and monitoring model performance. Demonstrated cross‑functional experience with diverse teams across the organization. Excellent communication skills with the ability to explain complex technical concepts to non‑technical audiences. Strong business acumen and ability to connect data science work to organizational objectives. Experience mentoring and developing junior team members. Bonus Points For: Experience in cloud platforms (AWS, GCP, Azure) and MLOps practices. Track record of publishing research or contributing to open‑source projects. Experience with A/B testing and causal inference methodologies. Knowledge of data engineering principles and ETL processes. Leadership experience in managing or leading data science teams. What we offer: We don't just build next‑gen wireless technology - we build people. The salary range for this position is: $200,000 to $260,000 Compensation will be determined based on several factors including, but not limited to: skill set, years of experience and the employee's geographic location. Tarana provides competitive benefits to employees in this role including: Medical, dental and vision benefits, 401K match, flexible time off and stock option. Join Tarana and help shape the future of wireless connectivity. About Us Tarana's mission is to accelerate the deployment of fast, affordable, and reliable internet access around the world. Through a decade of R&D and over $400M of investment, the Tarana team has created and continues to enhance a suite of next‑generation fixed wireless access (ng FWA) technologies. Its unique ng FWA platform delivers game‑changing advances in broadband economics in mainstream and underserved markets, using both licensed and unlicensed spectrum. Tarana's ng FWA technology has been embraced by more than 300 service providers in 24 countries. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Learn more at *********************** #J-18808-Ljbffr
$200k-260k yearly 4d ago
Staff Data Scientist
Epoch Biodesign
Data engineer job in San Francisco, CA
Employment Type Full time Department Cloud Engineering Crusoe is building the World's Favorite AI-first Cloud infrastructure company. We're pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: Join Crusoe Energy as a Staff Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive significant impact across product analytics, operations, go-to-market strategies, and capacity planning, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably. What You'll Be Working On: Develop Forecasting & Analysis Models: Build and deploy models for capacity planning, financial forecasting, and product analysis to drive strategic decisions. Perform Root Cause Analysis & Prediction: Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency. Analyze Cloud Infrastructure Products: Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development. Champion Data Quality & Infrastructure: Lead initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure. What You'll Bring to the Team: Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling. Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures. Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively. Commitment to Quality: Show a proven track record and passion for data quality. Ownership: As an early hire on the data science team, you'll be expected to act autonomously to drive forward analytics projects. Bonus Points (but not requirements): Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience. Experience building cloud infrastructure (e.g., AWS, GCP, Azure). Experience on a growing or early-stage data team, contributing to foundational development. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $200 per month Compensation: Compensation will be paid in the range of $233,000 - $282,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr
$233k-282k yearly 2d ago
Data Scientist II - Segmentation & Growth Modeling
The Walt Disney Company 4.6
Data engineer job in Glendale, CA
A leading entertainment company is seeking a Data Scientist II to work on machine learning models, data analysis, and visualization. The ideal candidate will have a Bachelor's degree in a related field, with at least 3 years of experience in data science. The role requires deep knowledge of statistical methods, strong communication skills, and the ability to collaborate effectively with business teams. Competitive salary and benefits are offered, with a focus on enhancing user experiences across popular streaming platforms. #J-18808-Ljbffr
$121k-175k yearly est. 1d ago
Principal Data Scientist
I Did My Part and Supported The Regular Toilet
Data engineer job in San Jose, CA
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Join a high-impact team driving product growth and innovation at scale! The Express Data Science team is looking for a Principal Data Scientist, who thrives at the intersection of data, product, and strategy to help us unlock growth opportunities for Adobe Express. For the next phase of Express Growth, we need a Data Science Leader that will lead Strategic Growth Levers, innovate and drive experimentation at scale, set the standard for Technical leadership and rigor within growth, and influence the broader org in the process. We need a leader for ambiguous, high-impact growth bets-connecting user behavior to business outcomes, while managing multiple workstreams together. What You'll Do Identifying Growth Levers using Data - Lead growth opportunity identification across user lifecycle driving product engagement, improving retention and premium enablement. Build the next generation of experimentation beyond A/B tests to a fast, scalable and rigorous system - and synthesize takeaways across tests into durable product direction within the growth and data science. Partner with other data teams to innovate. Introduce new technologies and techniques within experimentation for the product, enhance experimentation strategy for Express, and drive efficiency and measurement at scale. Sets the bar for measurement quality, signal detection, and interpretability of results. Work with cross functional teams within express to bring consistency to experimentation architecture, success metric definitions, and analytic tooling. Ensures the team scales not just in size, but also in maturity and decision making Lead high-priority analytics projects that influence product direction and business strategy. Analyze user engagement, retention, and conversion data to surface actionable insights. Design and analyze tests to guide product development and optimize user experiences. Mentor junior team members and elevate data culture across the org. What You'll Bring 10+ years of experience in product data science. Proven experience a Deep fluency in SQL and proficiency in Python or R. Demonstrates deep understanding of industry standards - Experience building causal and predictive models and working with large-scale behavioral datasets. Experience leading technical teams and driving data rigor Experience with Adobe Analytics, Amplitude, Tableau / Power BI A strategic approach with a bias for action and measurable outcomes. Strong communication skills-you simplify complexity and drive clarity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $145,600 -- $276,400 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunityemployer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, emailaccommodations@adobe.comor call **************. #J-18808-Ljbffr
$145.6k-276.4k yearly 5d ago
AI Data Scientist
Peppermill 4.4
Data engineer job in San Francisco, CA
Job Type: Full-time Department: Software Development/Engineering Reports To: CTO About the Role: We are looking for a talented and driven AI Data Scientist to join our dynamic team working to make AI accessible to all. I n this role, you will help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python). Your primary responsibilities will be performing statistical analyses, running custom SQL queries,and identifying patterns and trends that can improve our products' and services' efficiency and usability. You will also be expected to maintain and improve our data infrastructure and tools ( design, develop, and maintain web applications and platforms ) , working across both front-end and back-end systems. You will collaborate with cross-functional teams to deliver scalable and innovative solutions that are challenging to build but have a large impact . This is an exciting opportunity to work in a fast-paced environment and contribute to building innovative applications that make a meaningful impact. Key Responsibilities: Work with stakeholders help define product roadmap and ML/AI toolsets Work with developers to Build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline Help define and create tools for customers to use data visualizations, reports, dashboards, and data audits Proactively participate in developing scalable Business Intelligence (BI) tools and predictive analytics solutions using a variety of techniques ranging from data aggregation to data mining. Prepare presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders. Understand customer needs of a variety of industries and help build and design toolsets for customers. Perform other duties as assigned. Qualifications and Skills: Required: Bachelor's degree in data science, data analytics, or related field At least 6 -10 years of experience in data science with expert-level Python, SQL, and statistical modelling experience Proven experience as an AI Data Scientist or similar role Proficiency in program languages (Python, R) Proficiency in machine learning (TensorFlow) Knowledge of data science toolkits - NumPy Working knowledge of statistical models and business intelligence Familiarity with cloud-based infrastructure Experience in developing LLM systems, RAG pipelines, and ML pipelines Proficiency in Git/GitHub, and Docker Proficiency in database design and management (SQL/NoSQL) Analytical thinking for dissecting complex data and extracting valuable insights Problem-solving for systematically approaching problems and devising practical solutions Must reside in the San Francisco Bay Area Preferred: Master's degree or Ph.D. in a quantitative field, such as statistics, computer science, data science, mathematics, or engineering, or a related field - or equivalent experience or education Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques Familiarity with real-time data processing frameworks Experience with fundamental AWS services and concepts Experience with Queueing systems (RabbitMQ / Kafka / etc.) Understands and supports MLOps practices Proficient with Cloud Based Data Science Tools and Processes Create data visualizations, reports, dashboards, and data audits Leverage predictive models to optimize customer experiences Understanding automated anomaly detection processes/ methods Work closely with product managers, designers, and other developers & engineers to ensure project goals are met Work across time zones to interact with remote teams Participate in code reviews, brainstorming sessions, and team stand-ups Comfortable interacting with Management and Engineering staff to use Data Science to bring ideas and analysis into production products Analytical skills with an ability to independently evaluate and develop innovative solutions to complex situations Assist with conducting needs assessment and requirements gathering to design and assist in deploying data analytics solutions. Perform data manipulation and analytics and translate insights into actionable recommendations to management and customers Prepare presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders Written and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional team Communication- both verbal and non-verbal - for clearly conveying complex data insights to non-technical audiences Stay up to date with the latest industry trends and technologies Propose and implement improvements to the development process Curiosityfor exploring new data processing methodologies and tools Adaptabilityfor adopting new data science technologies and methodologies We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas . Ready to Join Us? If you're passionate about software development, thrive in dynamic environments, and want to work on impactful projects, we would love to hear from you! Apply today to be part of our team and help shape the future of technology. How to Apply (resume required - must reside in the San Francisco Bay Area) #J-18808-Ljbffr
$100k-137k yearly est. 1d ago
Data Scientist - Product
Pantera Capital
Data engineer job in San Francisco, CA
As an early member of the Data Science team, you will play a pivotal role in shaping the direction of our product and company. This is an opportunity to join a fast-growing startup and help define the data science function. You will have the chance to contribute to our mission to be the world's most knowledge-centric company by reshaping the future of search and technology. Responsibilities Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption Come up with hypotheses and validate them by designing, running, and analyzing A/B tests Figure out the right metrics and visualizations to track and implement them in dashboards, from features to company-wide Work closely with other functions, such as engineering, product, growth, GTM, design, and user research. Build tables to make analysis more efficient and make data more accessible Qualifications 4+ years of experience working as a data scientist or related role Experienced working at a fast-growing company working on consumer and/or growth SQL expertise Extensive A/B testing experience Experience building dashboards using BI tools (ex: Omni, Mode, Hex, Looker or similar tools) Self-starter and take ownership of your work end-to-end Comfortable with open-ended problems Experience with data modeling Nice to have Experience as one of the first data scientists at an early/growth stage company Have data engineering and/or analytics engineering experience (ideally with dbt) Experience with one or more area: ads, enterprise sales, search, large language models Experience working with user research to blend qualitative and quantitative insights Experience with Snowflake (especially as an admin) Python experience ML experience The cash compensation range for this role is $200,000 - $230,000. At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine just over a year ago. Our AI-powered search assistant has amassed 10 million monthly active users as of early 2024, with our mobile apps installed over 1 million times across iOS and Android devices. In 2023 alone, we served over 500 million queries from users around the globe. To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity at over $1 billion. Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.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 is 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
$200k-230k yearly 2d ago
Staff Data Scientist
Windfall Data, Inc.
Data engineer job in San Francisco, CA
At Windfall, data science is central to our mission as a people data and AI company. We aim to revolutionize how organizations perceive and utilize people data by providing leading commercial and nonprofit partners with accurate and actionable predictive models. We are looking for a deeply technical Staff Data Scientist to join our Modeling & AI team. In this role, you will be the go‑to expert for our most complex modeling challenges. You will be a hands‑on‑keyboard architect, designing and building sophisticated, scalable machine learning systems that power our model offerings. You'll spend your time tackling ambiguous problems, pioneering novel modeling techniques, and writing production‑grade code that elevates the technical bar for the entire team. Your work will be directly applied, as you collaborate closely with customers to develop a range of models-from sophisticated marketing and lead scoring models to donation likelihood models that empower top nonprofit organizations worldwide. This position is ideal for an individual who is passionate about deep technical exploration, solving challenging technical problems, and constructing robust, end‑to‑end ML solutions that deliver immense value to our clients. Responsibilities Architect and Own Modeling Solutions: You will lead the design and own the end‑to‑end lifecycle of our most sophisticated machine learning models, from ideation and strategic planning through to deployment and long‑term performance monitoring. Synthesize Diverse Datasets: You will become an expert at blending first‑party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models. Build for Scale: You will go beyond individual models to design and build scalable, reusable data pipelines and modeling frameworks that improve the efficiency and capabilities of the entire team. Innovate and strategize: Address complex, ambiguous problems and craft creative modeling solutions to meet diverse customer needs across various industries. Communicate with Impact: You will be responsible for clearly communicating model performance, methodology, and business impact to both technical and non‑technical stakeholders. Requirements 7+ years of professional industry experience in data science, with a proven track record of leading complex machine learning projects from conception to completion. Deep, expert‑level knowledge of machine learning theory and its practical application, including extensive experience with classification, regression, and feature engineering. Mastery of Python and its data science ecosystem. Expert‑level SQL skills, with the ability to write optimised queries against large‑scale datasets. A strategic, product‑driven mindset with a history of influencing product roadmaps and tying data science initiatives directly to business outcomes. Hands‑on experience with the engineering aspects of data science, including proficiency with Docker for containerisation and experience building and deploying data pipelines. Eligible to work within the United States. Preferred Qualifications Experience designing and implementing MLOps best practices for model monitoring, versioning, and automated retraining. Familiarity with modern cloud data platforms (e.g., BigQuery) and pipeline orchestration tools (e.g., Airflow). Experience working in marketing analytics, ad‑tech, fintech, or for a nonprofit organisation. A Master's degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics. $200,000 - $230,000 a year The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site. California: Salary range is $200,000 - $230,000 + Equity About Windfall Windfall is a people intelligence and AI company that gives go‑to‑market teams actionable insights. By democratising access to people data, organisations can intelligently prioritise go‑to‑market resources to drive greater business outcomes. Powered by best‑in‑class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organisation. More than 1,500 data‑driven organisations use Windfall to power their business. For more information, please visit ***************** We comply with CCPA. For more information on how we comply, review our privacy notice. #J-18808-Ljbffr
$200k-230k yearly 4d ago
Staff Data Scientist
Cervin
Data engineer job in San Francisco, CA
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
$190k-220k yearly 4d ago
Data Scientist - Secret Cleared ML/Analytics
Columbia Group 4.2
Data engineer job in San Diego, CA
A technical services support company is seeking Junior to Senior Level Data Scientists to join their team across various locations in the U.S. Candidates will develop analytics applications, apply machine learning, and visualize data findings. Required qualifications include education or extensive experience in relevant fields, along with security clearance. Comprehensive benefits package included. #J-18808-Ljbffr
$91k-122k yearly est. 2d ago
Data Scientist
Menlo Ventures
Data engineer job in San Francisco, CA
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
$160k-200k yearly 1d ago
Data Scientist, Product
Openai 4.2
Data engineer job in San Francisco, CA
Data Science - San Francisco and Seattle Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT , API , Sora ), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive in this role if you have: 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python Defined, implemented, and operationalized new feature and product-level metrics from scratch Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike Strategic insights beyond the paradigm of statistical significance testing You could be an especially great fit if you have: Strong programming background, with ability to run simulations and prototype variants Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR) Demonstrated prior experience in NLP, large language models, or generative AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr
$124k-169k yearly est. 4d ago
Data Scientist - Customer Growth & Experience Analytics
Rippling
Data engineer job in San Francisco, CA
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
$108k-189k yearly 4d ago
Applied Data Scientist - Finance/Trading Analytics
The Voleon Group 4.1
Data engineer job in Berkeley, CA
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
$150k-190k yearly 5d ago
Data Scientist, AI Product Analytics & Experiments
Arcade 4.6
Data engineer job in San Francisco, CA
An innovative tech company in San Francisco is looking for a Data Scientist to lead their analytics and experimentation efforts. The role focuses on building insights and models to drive business strategy, requiring 2-3 years of relevant experience. Proficiency in SQL and Python, along with a strong analytical mindset, are crucial for success. This is an on-site role, with close collaboration among cross-functional teams to enhance data-driven decision-making. Join a dynamic environment where you can impact product and market strategies, fostering creativity and innovation. #J-18808-Ljbffr
$123k-171k yearly est. 3d ago
Data Scientist - AI
Promise 4.2
Data engineer job in San Francisco, CA
Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022," “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator's #1 GovTech startup. About the Role At Promise, we're harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you'll experiment with and apply cutting‑edge AI-from traditional ML models to the latest LLMs-to power applications that help families access essential services with dignity. You'll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open‑source projects, fine‑tuning where needed, and deploying models into production systems that directly impact millions of lives. What You'll Do Experiment & build: Train, fine‑tune, and evaluate ML models and LLMs for real‑world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open‑source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands‑on experience with model training, fine‑tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail‑oriented, rigorous, and adaptable-comfortable navigating a high‑impact, evolving environment. Mission alignment: Passion for Promise's work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at Promise You'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission‑driven, ambitious, and direct. You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in‑person collaboration and are in‑office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non‑discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US. #J-18808-Ljbffr
$123k-171k yearly est. 2d ago
Principal Data Scientist, AI & Anomaly Detection
Cisco Systems 4.8
Data engineer job in San Francisco, CA
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
$128k-161k yearly est. 3d ago
DATA SCIENTIST
Goflux
Data engineer job in San Francisco, CA
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
$108k-155k yearly est. 2d ago
Early Career Data Scientist/Economist
Evenup
Data engineer job in San Francisco, CA
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
$108k-155k yearly est. 2d ago