Data scientist jobs in Santa Clara, CA - 3,152 jobs

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

The opportunity We're seeking a highly skilled and proactive Staff Data Scientist to join our Experimentation Platform team. In this role, you will focus on building robust frameworks and tools that empower teams across the company to conduct experiments at scale. Your work will enable experimenters to design, execute, and interpret experiments using cutting-edge methodologies, while also improving the overall efficiency and accuracy of experimentation processes. In addition to guiding experimental design and analysis, you will define and implement methods for analyzing data, codified into scalable tools for widespread use. This position is ideal for someone with a deep understanding of experimentation, statistical methods, and an interest in creating standardized systems and tooling that democratize experimentation across an organization. What you'll be doing Enhance analysis methodologies: Explore and implement advanced methodologies - such as using covariates to augment analysis or improving statistical rigor - to ensure robust and reliable experimental results. Tool building and automation: Create intuitive tooling that allows teams to monitor, interpret, and understand the impact of their experiments without requiring deep statistical expertise. Design and analyze experiments: Partner with stakeholders to model and analyze key experiments, ensuring proper design (e.g., randomization, sample sizing) while providing insights into their results. Define best practices: Establish gold-standard approaches for experimental design, measurement, and analysis, including tradeoffs between statistical techniques such as frequentist, Bayesian, and causal inference. R&D for innovation: Research and implement cutting-edge techniques, such as uplift modeling, causal inference, and advanced A/B testing frameworks, into tools for broader use across the company. Collaborate with product and engineering teams: Work closely with engineers to integrate experimentation tooling into the company's platforms and systems, enabling seamless adoption and execution. Democratize experimentation: Set up educational resources, documentation, and dashboards that empower experimenters to confidently design, run, and understand their experiments using the platform. What we're looking for Background in Statistics, Mathematics, Computer Science, Data Science, or a closely related field. Strong expertise in designing, executing, and analyzing A/B tests, multivariate tests, and other experimental methodologies. Deep understanding of statistical methods for experimentation, including frequentist (e.g., t-tests, ANOVA), sequential testing and resampling methods. Proficiency in programming languages for data science (e.g., Python, R), including building data tools and libraries for experimentation workflows. Expertise in leveraging data analysis tools, such as SQL (or similar technologies) to investigate and identify root causes for unsuccessful experiments, ensuring insights are actionable and experimentation methodologies are continuously improved. Familiarity with the use of covariates, regression-based approaches, and causal inference techniques in experimental analysis. Demonstrated ability to partner with engineering teams to integrate data science workflows into scalable platforms. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) for managing data pipelines and tools. You might also have Prior experience building or contributing to an experimentation platform or framework, especially within an organizational context. Expertise in building APIs, libraries, or interfaces to enable self-service experimentation. Prior exposure to ad tech platforms, including knowledge of campaign optimization, audience targeting, and attribution modeling. Knowledge of big data tools and technologies (e.g., Spark, Flink, BigQuery) for large-scale data analysis. Excellent communication and collaboration skills - able to convey statistical and technical concepts clearly to non-technical stakeholders. Additional information Relocation support is not available for this position. Life at Unity Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at *************. #SEN #LI-AR1 *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary $168,900 - $321,600 USD #J-18808-Ljbffr

A leading software company in San Francisco is seeking a Growth Data Scientist to drive improvements in user experience and revenue through data analysis and experimentation. The ideal candidate has strong SQL skills, familiarity with Python or R, and experience in building predictive models. This position offers a competitive salary range from $200,000 to $300,000 annually and emphasizes in-person collaboration on designated days. #J-18808-Ljbffr

A leading AI platform company based in San Francisco seeks an experienced Data Scientist to conduct deep analyses and influence product strategy through data-driven insights. Ideal candidates will have over 5 years of experience, advanced skills in SQL and Python, and a passion for data experimentation. The role offers a competitive salary of $250k - $300k plus equity, alongside excellent benefits including medical and flexible vacation policies. #J-18808-Ljbffr

We are a third-party recruiting partner representing a fast-growing enterprise AI company building production-grade conversational agents used by well-known brands. Backed by top-tier investors and recently funded at Series C, the company is scaling quickly and is investing in a world-class data function to drive product strategy and measurable business impact. What You Will Do Lead the design, implementation, and interpretation of rigorous experiments (A/B and multivariate) to inform product and customer experience decisions. Perform deep-dive analyses on user behavior, product performance, and business outcomes; translate findings into clear recommendations. Define and evolve core metrics, data models, and dashboards to ensure consistent, trustworthy reporting across teams. Partner with Product, Engineering, and leadership to embed measurement best practices into development cycles and launch reviews. Evaluate and help reason about machine-learning systems (including LLM-based features): clarify assumptions, trade-offs, and business implications. Contribute to the modern analytics stack (e.g., pipelines, modeling, and self-serve tools) that empowers company-wide decision-making. Communicate insights to executive and cross-functional audiences in a concise, persuasive way. Ideal Candidate Background 5+ years of experience in data science or product analytics with a track record of driving measurable product impact. Advanced proficiency in SQL and Python, and strong foundations in statistics and experimental design. Demonstrated experience designing, running, and analyzing experiments at scale for consumer, marketplace, or enterprise products. Ability to analyze and interpret ML model behavior, limitations, and impact on user outcomes. Excellent communication and stakeholder management skills; comfortable influencing product direction. Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science) or equivalent practical experience. Ability to work on-site in San Francisco (five days per week). Preferred Experience building/maintaining analytics data models and metrics layers (e.g., dbt) and orchestrating pipelines (e.g., Airflow). Familiarity with modern warehouses/BI (e.g., Snowflake/BigQuery, Looker/Mode) and large-scale data processing (e.g., Spark). Prior work evaluating LLM or recommendation systems and developing evaluation frameworks for AI/ML features. Background in high-scale products with strong experimentation cultures. Experience mentoring other analysts/scientists and elevating experimentation/measurement practices. Compensation, Benefits, and Other Details Base Salary: $250,000-$300,000, based on skills, experience, and interview performance. Equity: Role is equity-eligible. Benefits: Our client offers a comprehensive benefits package that may include medical, dental, and vision coverage, paid time off, parental leave, retirement savings options, and commuter support. Specifics will be discussed during the interview process. Work Authorization: Candidates of all backgrounds are encouraged to apply. Work authorization and any sponsorship availability will be discussed confidentially with the recruiting team. #J-18808-Ljbffr

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

A leading technology firm in San Francisco is seeking an experienced Data Scientist to accelerate growth initiatives. This role involves collaborating with various teams to provide data-driven insights, performing deep analyses on user behavior, and designing A/B tests. The ideal candidate has 6-8 years of experience, proficiency in SQL, and is experienced with BI tools. The cash compensation ranges from $200,000 to $250,000, with additional equity considerations. #J-18808-Ljbffr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences-all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The People Science team at Roblox supports our Talent Acquisition organization and broader People, Places, & Systems group with applied statistics and data science. Our core mission is leveraging qualitative and quantitative data to drive decisions and optimize processes across the talent lifecycle. This is a hands‑on, stakeholder‑centric role focused on maximizing the operational efficiency of Recruiting. You will join a high‑impact group dedicated to translating complex data into clear, actionable tools and insights. Success means empowering our leadership to scale hiring efforts through data solutions that are not only accurate but also actionable and adopted. Role is based in our San Mateo, CA HQ and reports to Manager, People Data Science. You Will Deliver self‑service analytical products and reporting dashboards to recruiters and business leaders to enable data‑driven operational decisions. Leverage and contribute to the core data models owned by People Analytics, ensuring the underlying data logic is understood, accurately represented, and efficiently utilized in all downstream products. Partner with stakeholders to define key recruiting metrics and develop KPI dashboards that drive operational excellence across time‑to‑hire, sourcing effectiveness, and recruiter performance. Serve as a trusted advisor to Talent Acquisition leadership by translating complex cross‑functional data into clear, compelling narratives and actionable strategic recommendations. Conduct in‑depth analytical deep dives and scientific inquiry focused on optimizing operational processes, such as resource planning, funnel efficiency, and forecasting hiring needs. Drive the adoption of new visualization and analytics tools (e.g., Hex) by training and enabling recruiters and leaders to effectively leverage the data products you build. Support data governance and improve data processes in partnership with People Analytics and Recruiting Operations to ensure the reliability and quality of our core recruiting datasets. You Have 5+ years of professional experience in a Data Analyst, People Analytics, or Business Intelligence role, with a strong focus on data visualization and reporting. A Master's degree in a quantitative field such as Statistics, Economics, Business Analytics, or a related discipline, OR equivalent demonstrated experience. Expert‑level proficiency in SQL for querying, wrangling, and optimizing large datasets, including Common Table Expressions (CTEs) and window functions. Strong proficiency in data analysis and scripting using Python or R (expertise in at least one is required) for data wrangling, modeling, and reporting. Proven ability to design high‑impact, user‑friendly data visualizations using Business Intelligence software such as Tableau, Looker, or similar. Exceptional communication and stakeholder management skills, with a track record of simplifying complex data for senior, decision‑making audiences. Prior experience in Talent Acquisition or People Analytics is highly preferred. You Are Committed to clarity. You provide clarity through all your work products: your code, your documentation, your project plans, your visualizations, your presentations, and your strategic recommendations. Systematic and efficient. You don't like to solve the same problem twice, and you are always on the lookout for reusable solutions. You create well‑documented systems and procedures rather than approaching each new problem in isolation. Curious and skeptical. With a new dataset or business question, you are driven to explore relationships and constantly ask yourself why a particular result is occurring. Impact‑focused. You are keenly aware that the true value of data lies in its adoption, and you prioritize stakeholder enablement and tool usability to ensure your work drives measurable business outcomes. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job‑related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full‑time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $194,770-$238,600 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. #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

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

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

About Fable Security AI-driven threats and human error are today's biggest enterprise security risks. Cybercriminals don't hack systems-they exploit people. Human errors drive 90% of security breaches, making human behavior the primary and growing attack surface. Fable is a security platform that mitigates human risks to the business. We built the first AI-native Human Behavior Platform to eliminate human risk wherever employees work. By leveraging GenAI and behavioral systems, we automatically detect at-risk employees, deliver personalized interventions at critical moments, and remove tangible risks to the business - at scale. Backed by Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecurity's biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, and USC. We are experiencing explosive growth, making this an career-defining opportunity to join and shape the future of security. Why Join Fable as a Data Scientist? Work closely with co-founders with a strong background in data science. Help invent a new category in cybersecurity, solving problems no one else has tackled before. Build products that integrate AI and data science at their core. Join a small, fast-moving team poised to double in size within the next year. Your Role As the first Data Scientist, you will play a critical role in shipping our core product. You will go deep into raw data from various APIs to generate insights into risky behavior, create models to predict risk factors and identify risky individuals, and use AI to develop products that incorporate these signals. You will work cross-functionally with engineers, product managers, and security experts to drive data-powered decision-making and innovation. Responsibilities: Expand the core product capabilities of Fable's risk analysis engine. Go deep into APIs, understand raw data, and identify insights that highlight risky behaviors. Track emerging security threats and develop new indicators of employee risk. Utilize behavioral analytics and risk modeling to improve security outcomes. Implement new risk attributes and cohorts directly into production code. Experiment with new AI tooling - leverage cutting-edge AI to create new data products, generate threat intelligence and predictive security insights. Develop ML models and analytics on employee behavior data to further enhance risk assessment. Your SkillsetMust-Have: Recent experience in a startup environment strongly preferred 3-7 years of experience in data science, ML, or AI-driven product development. Expertise in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong background in behavior analytics, predictive modeling, NLP, or anomaly detection Experience building and deploying data products at scale Ability to translate business problems into data-driven solutions. Nice-to-Have: Experience with cybersecurity, fraud detection, or risk modeling. Familiarity with GenAI and LLMs. Prior experience at an early-stage startup. Experience in data engineering and pipeline automation. How We Work We work from our San Francisco office three days a week, fostering collaboration and deep focus. We emphasize mutual trust, high execution, and delivering differentiated product experiences. We prioritize impact - every team member plays a key role in shaping our success. Apply Now Join us in reinventing cybersecurity for humans with AI and data science. Let's build something incredible together. The estimated salary range for this position is estimated to be $160,000 - $220,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. Fable Security is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. #J-18808-Ljbffr

3MK Software Solutions is a leading software service provider and IT Staffing Supplier company, offering outsourcing and complex implementation services for businesses across different functional areas and technologies, with a core focus on software development, web designing, and GIS Software solutions. Our team is our core strength, comprised of skilled and talented specialists from the IT industry, and we continuously invest in developing their capabilities. Job Description: We are seeking a smart and engaged Data Scientist to work with our large data sets. As an intelligence connection and search-product oriented firm, we uncover a significant amount of data. We need your help developing advanced mathematical and statistical models to map data and deliver web analytics. Our product is widely utilized, particularly in academic and research capacities. Key Skills: Natural Language Processing (NLP) Machine Learning Minimum Required Skills: R, Python, SQL, Hadoop, Algorithms, Machine Learning, Data Mining Responsibilities: Data Scientist - machine learning and NLP modeling Machine learning development and deployment Advanced NLP modeling Develop statistical modeling techniques for pattern recognition problems Develop code in Python, R, and SQL for modeling optimization, simulation, and statistical analysis Build models that maximize performance and accuracy Strategic planning and project management Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, or Mathematics All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

# **Who We Are**Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.# **Description**Data collected passively from wearable devices or smart sensors provide crucial insight into the day-to-day, real-world physiological and behavioral aspects of health. As a Data Scientist on our Digital Measures team, you will develop methods and research to bridge densely collected digital measures of health to multimodal AI systems through context and insight summarization. In this role, you will design novel algorithms, conduct applied research, and translate findings into practical solutions to empower our users to harness the often untapped patterns from digital measure datasets. Success in this role requires both scientific creativity and pragmatic engineering. You will need to bring together your understanding of digital measure data collection systems with the latest supervised and unsupervised technologies all while ensuring models are reliable, scalable, and user-friendly for clinical and product stakeholders.# **Responsibilities*** Design and implement AI/ML models to extract and apply insights from digital health data.* Translate research into production-ready solutions that advance health and wellbeing.* Collaborate with clinical, product, and engineering teams to deliver practical, integrated tools.* Communicate complex technical concepts effectively to diverse audiences.* Stay current with AI/ML advancements and foster an inclusive, collaborative team culture.# **Qualifications**Minimum Qualifications* Advanced degree in a quantitative discipline (e.g., data science, statistics, biomedical informatics, computer science, applied mathematics, or similar), or equivalent practical experience.* 5+ years of experience developing and applying advanced machine learning and AI techniques to clinical, biomedical, or similarly complex data.* Strong proficiency in Python and experience with modern ML frameworks and Git-based workflows.* Demonstrated ability to design and implement novel algorithms or adapt research methods for practical applications.* Excellent written and verbal communication skills, with a proactive, collaborative approach to problem-solving.Preferred Qualifications* Familiarity with wearable and smart sensing technologies, algorithms, and interpretation methods.* Practical experience in signal processing working with dense time series data types to provide insights from longitudinal datasets.* Experience collaborating with clinical research professionals or other domain experts.* Exposure to software engineering practices and experience contributing to production systems.* Strong curiosity and adaptability, with a demonstrated ability to learn new domains quickly.This role is eligible for Verily-sponsored immigration support.The US base salary range for this full-time position is $132,000 - $221,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.*Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.*Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please. If you'd like more information on your EEO rights under the law, please.If you have a need that requires accommodation, please let us know by completing our.Build What's Vital.At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology-united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health.Fulfilling our precision health purpose starts with the health of our Veeps, which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being.Our culture reflects the behaviors that stem from living our values every day in how we Innovate Healthcare and Technology, Gain Velocity as One Verily, and Respect Individuals. As One Verily, we uphold our collective accountability to sustain this culture and to create a VIBE (Verily's Culture of Inclusion, Belonging, and Equitability) where all Veeps feel included, a sense of belonging, and have opportunities to grow.If this sounds exciting to you, we would love to hear from you.You can find out more about our company culture on our . #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

About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview Join Dyneti as a founding member of the technical team. You will have the opportunity to work closely with the CEO and engineering to track emerging fraud trends, translate insights into product improvements, and build and launch your ideas. This role sits at the intersection of data, engineering, and real-world fraud strategy and is critical to shaping how DyScan evolves to stay ahead of increasingly sophisticated attackers. We're Looking for Someone Who Enjoys significant ownership over user-facing product Can work independently Is comfortable turning research papers into product Has 2+ years experience with data science or has a PhD in a STEM field Has an interest in software engineering Builds with a product-first approach. You move quickly from analysis to action and care about measurable outcomes In the News ******************************************************* ************************************************************************ ******************************************************************************** Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

A groundbreaking tech company is looking for a Staff Data Scientist to join their team in Redwood City. The ideal candidate will have over 7 years of experience in consumer-facing products, focusing on monetization systems including subscriptions and advertising. You will partner with product and engineering teams to drive data-informed decisions and enhance user experiences, while shaping the data science foundations necessary for growth. Join us in redefining interactive entertainment and AI-driven experiences. #J-18808-Ljbffr

theklicker is an online platform specializing in electronic product price comparison, enabling users to effortlessly compare prices across multiple booking sites. Designed as a one-stop-shop for all electronic products, theklicker is committed to delivering a seamless and user-friendly experience. By integrating cutting-edge technology, theklicker helps customers make informed decisions and find the best deals efficiently. Role Description This is a full-time on-site role for a Data Scientist - Content, based in Palo Alto, CA. The Data Scientist will lead efforts in extracting, analyzing, and interpreting large data sets to generate actionable insights. Day-to-day tasks include conducting statistical analysis, developing detailed data visualizations, applying data science techniques to improve content recommendations, and collaborating with cross-functional teams to optimize the platforms. The candidate will also support the team by identifying trends, patterns, and opportunities to enhance the user experience through data-driven strategies. Qualifications Proficiency in Data Science, including machine learning, predictive modeling, and algorithm development Strong foundation in Statistics and applied statistical methodologies Expertise in Data Analytics and Data Analysis, focusing on identifying trends and solving problems Experience with Data Visualization tools and techniques to present complex data in a user-friendly way Strong programming skills and familiarity with tools such as Python, R, SQL, or similar Excellent problem-solving skills and the ability to handle complex datasets Effective communication and collaboration skills to work in cross-functional teams Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related fields Experience in e-commerce or price comparison platforms is a plus #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