Data engineer jobs in Pleasanton, CA - 12,263 jobs

Job Title: Data Scientist - All Levels (Manager, Principal, Staff) Bentonville, AR (relocation package available only for Bentonville) Duration: Full Time IV Process: Pre-screening Three virtual client rounds (plus an additional round for Manager level) Multiple interviews can be scheduled in one day Positions Available (Exclusive): 1 Manager of Data Science 1 Principal Engineer of Data Science 3 Staff Engineers of Data Science Core Must-Have Skills Across All Levels Generative AI (Gen AI) Large Language Models (LLM, GPT, BERT, RAG) Time Series Modeling / Forecasting Prompting & Fine-Tuning Managerial/leadership experience per level (Manager → mid-size team, Principal → top of team, Staff → lead-level experience) Role-Specific Job Description Manager of Data Science Responsibilities: Lead a team of data scientists and ML engineers Build and deploy Gen AI and traditional ML applications for Walmart Finance Drive cross-functional projects in NLP, LLM, timeseries forecasting, and recommendation systems Maintain technical and business knowledge, mentor team members Requirements: Experience managing mid-size internal team of DS/MLEs Experience in NLP, LLMs, timeseries, traditional ML for retail/e-commerce Strong organizational, interpersonal, and cross-functional collaboration skills Principal Data Scientist Responsibilities: Develop LLM-powered intelligent systems (Q&A, recommendations, autonomous agents) Collaborate cross-functionally with DS, MLEs, UX, and product teams Deploy scalable AI/ML solutions, mentor junior DS Contribute to internal/external AI/ML research Requirements: Proven deployment of high-risk NLP applications in production Strong ML foundations (statistics, optimization, DL) Advanced proficiency in Python, ML/DS libraries, deep learning frameworks Familiarity with ML infra (Kubeflow, MLflow, Airflow) Bonus Skills: Text-to-SQL/Text-to-Cypher, recommender systems, fine-tuning LLMs, publications in top-tier ML/NLP venues Staff Engineer of Data Science Responsibilities: Lead data-driven projects for Finance using LLMs/Gen AI Build, deploy, and productionize AI/ML solutions for large-scale applications Collaborate cross-functionally with stakeholders and business owners Requirements: Master's/PhD in Statistics, Analytics, CS, or related field with 5+ years experience Hands-on experience with LLMs, Gen AI ecosystems (GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet) RAG, AI agent development, LangChain, LangGraph Strong solution architecture mindset and problem-solving skills Nice-to-Have: Big Data/Spark experience, Cloud ML (GCP, Azure), GPU DL training Behavioral Qualifications: Adaptable, problem-solver, technically strong, collaborative, able to manage multiple priorities

Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, extensive selection that our customers value, whether they shop online through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast. Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting. Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts. Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions. Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines. Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray). Act as technical lead on multiple projects, balancing research rigor with business delivery. What you'll bring Strong foundation in Time Series Forecasting, Causal Inference, Statistical Analysis, and advanced Machine Learning methods Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios. Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions. Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries. Experience deploying ML systems at scale on cloud platforms (GCP/Azure). Great to have Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods). Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring. Background in retail, e-commerce, or operations analytics. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Recruiter name: Ajeet Kumar Recruiter's email id : ***************************** JobDiva ID :: JobDiva # 25-53396

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

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

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

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

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

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

A healthcare technology company in San Francisco is seeking a Principal Data Scientist to develop predictive models aimed at optimizing patient outcomes and operational efficiency. This role requires over 7 years of experience in data analysis, with hands-on expertise in Python and machine learning. The ideal candidate will work with emerging AI technologies to improve healthcare delivery. Competitive compensation is offered, along with substantial health benefits and a positive work culture. #J-18808-Ljbffr

A leading AI research firm in California seeks a Data Scientist to enhance product development through data-driven insights. The role involves defining metrics, executing A/B tests, and collaborating with teams to answer data questions. Ideal candidates will have strong SQL and Python skills and a track record of navigating ambiguous environments. The position offers a hybrid work model with relocation assistance. #J-18808-Ljbffr

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

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

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

A leading AI-focused company in San Francisco is seeking an experienced data scientist. The role involves driving data strategy to enhance user engagement and product experience. Ideal candidates have extensive experience in data science, strong technical proficiency in Python and SQL, and a collaborative mindset. This position offers flexible paid time off, medical benefits, and an inclusive work environment. #J-18808-Ljbffr

This role is for a Data Scientist (MMM) on a 6‑month contract, paying $50+/hour, remote in the U.S. Requires a Ph.D., 3+ years in data analytics, and experience with MMM, digital marketing, SQL, Python, and cloud technologies. Responsibilities Perform hands‑on coding to retrieve and analyze large datasets using Python and SQL Integrate disparate data sources and leverage state‑of‑the‑art analytics best practices to deliver integrated, actionable insights to partners and stakeholders Manage and streamline the data extraction process with great attention to detail Assess the potential usefulness, validity, and rigor of new data sources Work with a cross‑functional team to ensure that the quality of the data is of the highest standard Help with media mix models to connect the impact of marketing tactics and business short‑term and long‑term outcomes Qualifications Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field 3+ years of industry experience in a data, analytics, and data science role Experience with advertising, measurement, and/or digital marketing analytics Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc. Proficient coding skills (SQL/Python/R) Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop) Proficient BI/BA data visualization tools (Tableau, Power BI, ThoughtSpot, Looker, etc.) Experience working with Marketing Mix Modeling (MMM) and/or Multi‑Touch Attribution Models (MTA) Experience with modeling and machine learning Experience with cloud technologies such as GCP, AWS, and Azure Experience in integrating, structuring, and analyzing large amounts of data from diverse sources Strong project management skills, attention to detail, and documentation skills Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and ‘tell a story that provides insight into the business Passion for working in a fast‑paced agile environment A collaborative mindset and sense of curiosity Experience with predictive modeling algorithms and optimization techniques Experience applying statistics to business problems About FocusKPI FocusKPI is a data science and technology firm specializing in predictive analytics practice and methodologies. Founded in 2010, FocusKPI, Inc. (FocusKPI) is a U.S. company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts. 85 Great Portland Street, London, England, W1W 7LT #J-18808-Ljbffr

Mechanical design, the work done in CAD, is the rate-limiter for progress in the physical world. However, there are only 2-4 million people on Earth who know how to CAD. But what if hundreds of millions could? What if creating something in the real world were as easy as imagining the use case, or sketching it on paper? Backflip is building a foundation model for mechanical design: unifying the world's scattered engineering knowledge into an intelligent, end-to-end design environment. Our goal is to enable anyone to imagine a solution and hit “print.” Founded by a second-time CEO in the same space (first company: Markforged), Backflip combines deep industry insight with breakthrough AI research. Backed by a16z and NEA, we raised a $30M Series A and built a deeply technical, mission-driven team. We're building the AI foundation that tomorrow's space elevators, nanobots, and spaceships will be built in. If you're excited to define the next generation of hard tech, come build it with us. The Role We're looking for a Staff Machine Learning Data Engineer to lead and build the data pipelines powering Backflip's foundation model for manufacturing and CAD. You'll design the systems, tools, and strategies that turn the world's engineering knowledge - text, geometry, and design intent - into high-quality training data. This is a core leadership role within the AI team, driving the data architecture, augmentation, and evaluation that underpin our model's performance and evolution. You'll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. What You'll Do Architect and own Backflip's ML data pipeline, from ingestion to processing to evaluation. Define data strategy: establish best practices for data augmentation, filtering, and sampling at scale. Design scalable data systems for multimodal training (text, geometry, CAD, and more). Develop and automate data collection, curation, and validation workflows. Collaborate with MLEs to design and execute experiments that measure and improve model performance. Build tools and metrics for dataset analysis, monitoring, and quality assurance. Contribute to model development through insights grounded in data, shaping what, how, and when we train. Who You Are You've built and maintained ML data pipelines at scale, ideally for foundation or generative models, that shipped into production in the real world. You have deep experience with data engineering for ML, including distributed systems, data extraction, transformation, and loading, and large-scale data processing (e.g. PySpark, Beam, Ray, or similar). You're fluent in Python and experienced with ML frameworks and data formats (Parquet, TFRecord, HuggingFace datasets, etc.). You've developed data augmentation, sampling, or curation strategies that improved model performance. You think like both an engineer and an experimentalist: curious, analytical, and grounded in evidence. You collaborate well across AI development, infra, and product, and enjoy building the data systems that make great models possible. You care deeply about data quality, reproducibility, and scalability. You're excited to help shape the future of AI for physical design. Bonus points if: You are comfortable working with a variety of complex data formats, e.g. for 3D geometry kernels or rendering engines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've worked in 3D printing, CAD, or computer graphics domains. Why Backflip This is a rare opportunity to own the data backbone of a frontier foundation model, and help define how AI learns to design the physical world. You'll join a world-class, mission-driven team operating at the intersection of research, engineering, and deep product sense, building systems that let people design the physical world as easily as they imagine it. Your work will directly shape the performance, capability, and impact of Backflip's foundation model, the core of how the world will build in the future. Let's build the tools the future will be made in. #J-18808-Ljbffr

A leading gaming technology company in San Francisco is seeking a Software Developer to join its innovative team. The ideal candidate will have 6 months to 2 years of experience in Golang and/or Java, with a passion for developing services that power games. Key responsibilities include articulating technical solutions and driving improvements in operational excellence. A Bachelor's degree in Computer Science or equivalent experience is preferred. Join an inclusive team dedicated to redefining gaming! #J-18808-Ljbffr

What you'll do... Join Client as a Principal Data Scientist to lead the development and deployment of advanced analytical models that drive strategic business decisions. This role requires expertise in machine learning, statistical analysis, and coding to design scalable solutions addressing complex business challenges. The position involves collaborating across functions to translate data insights into actionable strategies, mentoring team members, and ensuring high-quality data sourcing and validation. The ideal candidate will apply innovative techniques to enhance data-driven decision-making and contribute to Client's continued growth and operational excellence. About the team: The Data Science team employs advanced analytical and modeling techniques to address complex business challenges. They specialize in model assessment, validation, and deployment using tools such as Python, SQL, and machine learning frameworks. Collaborating closely with business stakeholders, the team translates requirements into actionable insights and data-driven solutions. Emphasizing rigorous statistical methods and data visualization, they ensure clear communication of findings. The team promotes continuous learning and innovation, guiding members in best practices and emerging technologies to deliver impactful results aligned with business goals. What you'll do: Develop and implement advanced machine learning models to address complex business challenges and drive data-informed decisions. Lead exploratory data analysis, feature engineering, and statistical modeling to extract actionable insights from data sources. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions aligned with strategic objectives. Oversee model validation, tuning, deployment, and lifecycle management to ensure accuracy, robustness, and sustainability. Mentor and guide team members on analytical techniques, coding best practices, and data visualization to enhance overall team capability. Communicate findings effectively to stakeholders, supporting data-driven decision-making and continuous improvement initiatives. What you'll bring: Extensive experience in developing and deploying machine learning models using Python and related frameworks. Proficiency in advanced statistical analysis and data visualization techniques to derive actionable business insights. Strong knowledge of data sourcing, quality assessment, and management within complex business environments. Expertise in model validation, tuning, and lifecycle management to ensure robust and scalable solutions. Ability to translate business requirements into technical strategies and lead cross-functional teams effectively. Familiarity with cloud platforms such as AWS SageMaker for scalable model development and deployment. Demonstrated leadership in mentoring associates and driving continuous improvement in data science practices. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Client's accessibility standards and guidelines for supporting an inclusive culture. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Ensures effective and efficient operations through conducting operations analyses (i.e. operational effectiveness and capacity utilization), and recommends improvements. Details Job ID-26-00519

A leading technology company is seeking an experienced engineer to join their team focused on building intelligent ML systems for observability. The ideal candidate will have a PhD in Computer Science or a related field, along with significant experience in cloud-based architectures like AWS or Azure. Responsibilities include leading the development of machine learning algorithms and enhancing AI features across platforms. This position offers an attractive salary and extensive benefits, including flexible vacation policies and a comprehensive insurance package. #J-18808-Ljbffr