Data scientist jobs in Sunnyvale, California - Page 2Crear alertas

Job DescriptionAbout Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California. Requirements In this role, you'll play a pivotal role in our customer journey, acting as a trusted advisor and technical expert. You'll partner with our sales team to support existing deals and empower customers to make informed decisions about our solutions. • Deep Dives with Customers: You'll collaborate with potential customers to understand their specific needs and challenges. Through technical discussions, you'll guide them through the decision-making process, explaining how Pathway addresses their unique requirements., • Installation Expertise: You'll be the go-to person for all things installation. Prepare customers for the implementation process by walking them through security considerations, pipeline setup, and any other technical aspects., • Building Trust and Relationships: Developing strong rapport with customers is key. You'll foster trust by being empathetic, likable, and demonstrating a genuine interest in their success., • Knowledge Powerhouse: You'll stay up-to-date on our solutions and industry trends, ensuring you can confidently answer technical questions customers might have. We're looking for someone who: • Possesses 5+ years of experience in a technical sales or application engineering role., • Has a strong understanding of technical concepts and the ability to translate them into easy-to-understand language for non-technical audiences., • Demonstrates excellent communication and presentation skills, effectively conveying complex information in an engaging manner., • Thrives in a collaborative environment and enjoys working as part of a team., • Is a natural problem solver, with a passion for helping others achieve their goals., • Can navigate different cultures easily. Why Should You Apply • Intellectually stimulating work environment. Be a pioneer: you get to drive adoption for leading frameworks with real-time data processing & generative AI., • Work in one of the hottest AI startups, with exciting career prospects. Team members are distributed across the world., • Responsibilities and ability to make significant contributions to the company's success., • Compensation:, • Inclusive workplace culture. The Interview Process: To assess your technical expertise and customer-centric approach, we'll conduct interviews where you'll take on the role of a customer. We'll present you with a technical scenario and ask you to walk us through the decision-making process for our solution.

One of our clients who are a leading provider of Revenue Cycle Management (RCM) for the healthcare industry are looking to fill "AI Research Scientist" (various levels - Senior, Lead & Staff) roles, ideally in applied or product-focused environments. Hybrid role (3 days onsite either from San Jose, CA or Austin, TX) Responsibilities: • Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics., • Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases., • Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness., • Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes., • Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints., • Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation., • Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems., • Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred., • Candidates with a master’s degree and exceptional research or industry experience will also be considered. Industry Experience: • 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments., • Demonstrated success in delivering research-driven solutions that have been deployed in production., • Experience collaborating in cross-functional teams across research, engineering, and product., • Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: • Strong foundational knowledge in machine learning and deep learning algorithms., • Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO)., • Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases., • Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations., • Advanced programming skills in Python (preferred), C++, or Java., • Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc., • Strong mathematical foundations in probability, linear algebra, and calculus., • Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc., • Ability to translate research insights into roadmaps, technical specifications, and product improvements.

NEW Clinical Laboratory Scientist – HLA Laboratory (Night Shift) Full-Time | Night Shift (10:30/11:00 PM – 7:00/7:30 AM) A well-established HLA laboratory in a major healthcare system is seeking an experienced Clinical Laboratory Scientist (Technologist) to join its night-shift team. This role focuses on highly complex histocompatibility testing that directly supports organ transplantation. Candidates with prior HLA experience are strongly preferred. What You’ll Do: * Perform HLA antibody identification and crossmatch testing, including urgent deceased donor workups * Analyze, interpret, and report results with accuracy and attention to detail * Monitor QC data, identify trends or shifts, and document findings * Troubleshoot assays and instrumentation using SOPs and manufacturer guidelines * Serve as an advanced technical resource for fellow CLS team members * Perform complex assays and assist with training and competency evaluations What We’re Looking For: * CLS – MTA - California Clinical Laboratory Scientist required upon hire OR CLS – MTR – California Clinical Histocompatibility Scientist required upon hire * 3+ years to 5 years of hands-on testing experience in a clinical and/or clinical histocompatibility lab required Call or text Olivia Sloane from KA Recruiting at 617-746-2743 Email your resume to with your contact info and availability

Business Development Manager Biotech / CRO Location: San Francisco Bay Area (Remote) Our client is seeking a Business Development Manager to support strategic partnering initiatives centered on a differentiated antibody discovery platform. This role is ideal for a PhD-trained scientist with strong scientific ownership in antibody drug discovery who is motivated to translate complex biological data into compelling partnership and licensing opportunities. The successful candidate will work closely with internal scientific leadership and external biotech and pharmaceutical partners, playing a key role in driving the company’s continued commercial growth. Key Responsibilities • Lead scientific and commercial discussions with prospective licensing and collaboration partners, • Translate complex biological and preclinical data into clear, compelling therapeutic and partnering narratives, • Align antibody discovery platform capabilities with pharmaceutical partner pipeline gaps and strategic needs, • Prepare and deliver high-quality scientific and business presentations to internal and external stakeholders, • Collaborate cross-functionally in a fast-paced, matrix environment to support deal execution and relationship management, • Travel locally to meet with clients and partners as needed Required Qualifications • PhD in pharmacology, immunology, cancer biology, or a related biomedical science discipline, • Mandarin and English bilingual required, • Strong hands-on background in antibody drug discovery, including target validation and early discovery workflows, • Familiarity with current antibody modalities, including monoclonal antibodies, bispecifics, and antibody–drug conjugates, • Proven ability to interpret complex biological datasets and communicate scientific value clearly to diverse audiences, • Strategic mindset with strong communication, presentation, and interpersonal skills, • Effective project management skills and the ability to operate in a matrixed, fast-paced environment, • Ability to travel locally; access to a car preferred The company offers a comprehensive benefits package including medical, dental, and vision insurance, HRA, life and disability coverage, a 401(k) with company match, and generous paid time off, sick days, and holidays.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA Title: AI Research Scientist Location: San Jose, CA Responsibilities: • Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics., • Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases., • Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness., • Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes., • Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints., • Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation., • Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems., • Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred., • Candidates with a master’s degree and exceptional research or industry experience will also be considered. Industry Experience: • 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments., • Demonstrated success in delivering research-driven solutions that have been deployed in production., • Experience collaborating in cross-functional teams across research, engineering, and product., • Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: • Strong foundational knowledge in machine learning and deep learning algorithms., • Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO)., • Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases., • Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations., • Advanced programming skills in Python (preferred), C++, or Java., • Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc., • Strong mathematical foundations in probability, linear algebra, and calculus., • Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc., • Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Proficient in using enterprise data platforms like Snowflake BigQuery MSSQL Oracle and AWS Redshift for scalable data processing and analysis. Machine Learning,Python,Data Science,AI,R,Research Experience,Sensors,Drug Discovery,Research & Development,Natural Language Processing,Data Analysis Skills,

We are seeking a senior computer scientist who brings a unique blend of software engineering data science and DevOps expertise to build scalable intelligent systems that power Adobes next-generation platforms. Experience: 5 years in software development with strong coding skills in Java C or mobile

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA Title: AI Research Scientist Location: San Jose, CA Responsibilities: • Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics., • Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases., • Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness., • Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes., • Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints., • Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation., • Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems., • Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred., • Candidates with a master’s degree and exceptional research or industry experience will also be considered. Industry Experience: • 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments., • Demonstrated success in delivering research-driven solutions that have been deployed in production., • Experience collaborating in cross-functional teams across research, engineering, and product., • Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: • Strong foundational knowledge in machine learning and deep learning algorithms., • Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO)., • Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases., • Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations., • Advanced programming skills in Python (preferred), C++, or Java., • Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc., • Strong mathematical foundations in probability, linear algebra, and calculus., • Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc., • Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

The Data Scientist will be responsible for developing and adapting data collection and analysis methods, identifying and resolving data quality issues, and collaborating with various stakeholders. They will work closely with the research team to identify patterns and correlations in the data related

Additionally, the data scientist will contribute to the development of novel computational methods ranging from biological data analysis to simulation of physical systems via digital twins. The Research Data Scientist will play a critical role in this initiative, leveraging their expertise in comput

Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Collaborate with data managers to define and implement data standards and common

SynergisticIT supports hiring pipelines for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. What you may be missing is the engineering toolkit and interview confidence to move into d

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the role We're seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You'll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences. What You'll Do • Designing and architecting recommendation algorithms across various product surfaces, • Leverage all of xAI's infra and AI stacks to dramatically enhance the user experience, • Write data pipelines and training jobs that continuously learn from product data., • Iterate and improve the algorithm by gathering user feedback in real time through experimentation, • Knowledge of data infrastructure like Kafka, Clickhouse, and Spark, • Experienced in implementing recommender systems and/or deep learning applications at industrial scale, • Skilled in one or more DL software frameworks such as JAX or PyTorch After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-30 minutes phone interview, during which a member of our team will ask technical questions. If you clear the phone interview, you will proceed to next steps: • Deep dive coding challenge Location The role is based in Palo Alto. Candidates are expected to be located near the Bay Area or open to relocation. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Job DescriptionAbout Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world’s first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California. Requirements You are: • Willing to learn and grow in the job, • Respectful of others, • Fluent in English Why You Should Apply • Opportunity to work on the ground floor of the ever-expanding AI industry close to some of the most groundbreaking innovations., • Work closely with the Team and gain hands-on experience scaling a disruptive AI company., • High visibility and impact roles., • Type of contract: permanent employment contract, • Benefits: Employee Stock Option Plan, • Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland.

Staff Data Scientist – Post Sales. Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn. Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.

NEW Clinical Laboratory Scientist HLA Laboratory (Night Shift). Full-Time Night Shift (10:30/11:00 PM 7:00/7:30 AM). Monitor QC data, identify trends or shifts, and document findings.

We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. Staff Data Scientist – Sales Analytics. As the senior data scientist supporting Sales and GTM, y

Everfit | Hybrid, San Francisco Bay Area.Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and Millions of training clients globally.We're transforming how fitness professionals deliver personalized training and nutrition guidance to their

The Mid-market Data Science team is responsible for providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps; providing data/tools/actionable insights/experimentation for the execution of multiple Mid-market priorities across our function doma

As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redef

Innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models. We leverage new technologies including Generative AI, machine learning, causal inference, natural Language Processing

Practical experience constructing data pipelines and ETL utilizing SQL and Python, as instrumenting new data requirements and manipulating large complex datasets. Very strong insight mining and data storytelling skills, with a proven ability to rapidly construct data narratives and drive decisions w

Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Managing teams to process

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. If you have visited our website in search of information on employment

Every Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for model performance, and to elevate Target's culture and apply retail domain knowledge. As a Lead Data Scientist on this product you'll work with business par

Lead the enhancement of data collection practices and refine existing data to improve overall data quality. We are seeking a highly skilled Data Scientist who thrives on analyzing and deriving insights from complex data sets to drive product strategy and business decisions. In this role, you will co

Since 2010 Synergisticit has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and clients.Here at SynergisticIT we just don't focus on getting you a tech job we make careers.In this jo

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Mentor and inspire other data scientists; review analyses and elevate experimentation, causal inference, and model evaluation practices across the team. The Data Science & Analytics team thrives on data-driven insights to make more informed decisions through our insights into our member's behavior,

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formul

Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities * Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption * Partner with

The position offers a competitive salary and equity options in a dynamic work environment committed to innovation.

A leading technology consulting firm based in Palo Alto is seeking a skilled Senior Data Scientist with extensive experience in building and deploying machine learning models.You will work with big data technologies, optimizing workflows in a collaborative environment.The ideal candidate will have h

Candidates must have a strong background in data science and experience with healthcare data, particularly EHRs. A leading health technology company in Mountain View is seeking a Senior Data Scientist to drive innovation in evidence generation for healthcare. This role involves building longitudinal

A leading financial institution is seeking a Principal Associate, Data Scientist to join their elite applied AI team in San Jose. Candidates should have significant experience in data analytics and strong programming skills, particularly in Python and SQL. This position offers competitive salary and

You will work hands‑on with the latest multimodal LLMs, conducting experiments and deploying production pipelines that utilize generative models (such as GPT‑like models) for automating data curation, data lineage, data quality checks, data products creation. You’ll work with the OneData organ

This role is designed for a strategic and business-oriented data scientist who thrives at the intersection of data, business strategy, and cross-functional collaboration. You will partner with leaders across product marketing, channel marketing, finance, data engineering, and other data science team

You’ll collaborate deeply with Partnerships, Finance, Data Science, Data Engineering, Engineering, and Product to ensure data requirements are captured early and instrumentation is consistent across systems. We’re hiring a Staff Data Scientist to partner with our Partnerships team and Finance as

Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. Senior Product Data Scientist, Product, App Safety Engineering. As a data-loving member of the team, you serve as an analytics expert for your partners, using n

Risk Strategy Data Scientist (Credit / Fraud). Be a data detective: Use advanced analytics and data science techniques to solve complex business problems. Technical expertise: Proficiency in SQL and Python, with a strong ability to work with large, complex datasets and leverage data science librarie

Proficiency with SQL to query data from database and data warehouse storage. Proficiency with SQL to query data from database and data warehouse storage (i. As a data scientist in the Manufacturing Quality team, in-person face-to-face interaction is essential to building authentic relationships, tru

Fair Chance Ordinances: Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Adobe is proud to be an Equal Employment Opportunity employer. If you have a disability or special need that require

Strong data engineering principles familiar with technologies to store, query, process, and analyze data. Experience driving novel insight through custom data analytics and machine learning. Partner closely with Product, Engineering, and Operations teams to translate complex business requirements in

Data Foundation & Instrumentation: Clarify metric/event taxonomies; ensure instrumentation quality; build curated datasets and dashboards; troubleshoot data issues; automate recurring tasks with a product‑first mindset. Specifically you will be part of the journey to build the Data Science engine

We are seeking an experienced Staff Data Scientist to join our Business Strategy Data Science Team. As a Staff Data Scientist, you will serve as a strategic thought partner to cross-functional leaders, bringing deep analytical expertise and business acumen to bear on Intuit’s most critical growth

A financial services firm in California is seeking a Credit Strategy Data Scientist to lead projects in credit risk assessment and data analysis.

A leading financial technology company in San Jose is seeking a Data Scientist to drive innovation using machine learning and data analytics. In this role, you will collaborate with a cross-functional team to unveil valuable insights from vast amounts of data. The ideal candidate has a Bachelor's or

A leading technology consulting firm in California is seeking a dedicated Data Scientist to support its Fraud Risk Data Science Team. This position offers opportunities to make a significant impact through data-driven decision-making and innovative AI solutions.