Data scientist jobs in Salinas, CA - 187 jobs

The WCIRB is looking for an experienced Lead Actuarial Analyst interested in having a critical role in the WCIRB's actuarial functions. This position will be directly involved in the WCIRB's core ratemaking and data analysis functions with opportunities for growth, independence, and external communication. The Workers' Compensation Insurance Rating Bureau of California (WCIRB) is California's trusted, objective provider of actuarially-based information and research, advisory pure premium rates, and educational services integral to a healthy workers' compensation system. The WCIRB is a California unincorporated, private, nonprofit association comprised of all companies licensed to transact workers' compensation insurance in California, and has over 400 member companies. No state money is used to fund its operations. The operations of the WCIRB are funded primarily by membership fees and assessments. To accurately measure the cost of providing workers' compensation benefits, the WCIRB performs a number of functions, including collection of premium and loss data on every workers' compensation insurance policy, examination of policy documents, inspections of insured businesses, and test audits of insurer payroll audits and claims classification. The WCIRB employs approximately 175 people. The home office is located in San Francisco, California. Summary of Position The Lead Actuarial Analyst is responsible for (1) leading various complex actuarial analyses and core projects, (2) supervising and maintaining data collection processes, and (3) providing input and insight regarding trends, cost drivers, and other key components of the WCIRB's core ratemaking functions. The Lead Actuarial Analyst works independently and collaboratively with other members of the Actuarial Services team, other WCIRB research teams and other WCIRB departments, with little to no supervision, and where work is peer reviewed by other analysts or leaders. The Lead Actuarial Analyst reports to the Vice President, Actuary. Essential Duties and Responsibilities Leads the analysis and evaluation of statistical data pertaining to pure premium rates; identifies trends or cost drivers; prepares materials for committees or rate filings to evaluate impact of various cost drivers on pure premium rates. Leads actuarial analyses of aggregate data and ratemaking methodologies; recommends adjustments to actuarial ratemaking methodologies to the Vice President, Actuary and Chief Actuary; periodically validates appropriateness of methodologies. Provides key deliverables and correspondence with WCIRB members and other customers, such as the insurance department and governmental agencies, on complex data and other technical issues, with minimal or no supervision. Represents Actuarial department and provides subject matter expertise on actuarial data and data collection processes to representatives of other units of the WCIRB on various cross-functional projects and issues. Prepares, reviews, and analyzes various studies of aggregate and classification experience for rate filings and other reports produced by Actuarial Services included those presented to WCIRB Committees and Working Groups. Leads the Actuarial team's efforts in collaboration with the IT department on the development and changes to applications used by the Actuarial team and customers to submit, retrieve, and/or analyze data. Supervises the development and maintenance of data products and oversees the fulfillment of data requirements pursuant to statutory and regulatory mandates. Performs peer reviews of analysts' work. Supervises actuarial analysts in various aspects of analyses; oversees progress of projects and guides projects to completion in an accurate and timely manner. Education, Experience, and Skill Qualifications: Educational background (Bachelor's degree or above) in a technical field such as mathematics, actuarial science, applied statistics, or economics. Five years of experience as an actuarial analyst in a property/casualty insurance company, rating organization, consulting firm, or a state insurance department. Very strong professional communication skills, both verbally and in writing. Strong listening and interpersonal skills. A high level of ability in the utilization of mathematical techniques for the analysis of statistical information. The ability to develop a complete theoretical framework with precisely-defined relationships, as necessary in special studies or rate revisions. Very strong proficiency in the following three areas with six years' experience preferred: mathematics, applied statistics, and programming (in a language such as VBA, SQL, R, or Python). Proficiency in Microsoft Office Suite. Associate of the Casualty Actuarial Society (CAS) or at least six CAS exams with extensive related experience. Perks & Benefits Our employees enjoy a state of the art, energy-efficient, open work environment that nurtures collaboration and creativity. At the WCIRB, we go the extra mile to keep our employees happy and healthy. Proud to be recognized as a Plan Sponsor of the Year finalist for our commitment to retirement readiness through strong 401k and pension offerings. Some of our perks include: Hybrid work environment (40% onsite 60% remote) Medical, dental and vision benefits Competitive PTO Program 401K and pension plan Annual incentive plan Social activities Community volunteer involvement WCIRB is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. The successful candidate will reside in California and will work from our headquarters in San Francisco at least 40% of the time. We are NOT able to pay for relocation costs for candidates or to sponsor or take over sponsorship of an employment Visa at this time. Thank you for your interest in the WCIRB!

About the team The Core Business Data Science at TikTok USDS is responsible for building high-quality and timely data analytics solutions for the TikTok main app to support business growth. You will have the exciting opportunity to: * Conduct product analytics to provide product recommendations that drive product growth * Deep dive into data sources, understand their limitations, and communicate complex data insights through exploratory analysis and research to suggest improvement * Design and monitor core metrics; understand root causes of metric movements * Design and build advanced analytical solutions and models to deliver superior business outcomes Minimum Qualifications: * BS/MS in Computer Science, Math, Economics, Statistics, or other science and engineering fields * Experience with SQL, Python, or R * Experience navigating and working with large data sets using SQL * Self-motivated, detail-oriented, learn autonomously, and highly organized * Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship or any immigration-related benefits.

Fullpower -AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services. Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes. The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications. Job Responsibilities: Work with health data and time-series sensor data Connect biomedical sensor data with medical, health, and fitness outcomes Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking Develop visualizations and tools for understanding and annotating data Optimize algorithms for running on embedded devices and in the cloud Design and run experiments and clinical trials Processing, cleaning, and combining different data sources to create new datasets Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions Software skills: Expertise in Python and packages such as numpy, pandas, scikit-learn Experience with a deep learning framework such as Tensorflow, py Torch, or equivalent Experience working with databases including familiarity with SQL Experience with Amazon Web Services (AWS) or Google Cloud Experience with C++ is a plus Leadership qualities: Self starter Strong interpersonal and communication skills Education and Experience: Experience applying data science and machine learning to real-world problems Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent Graduate degree and/or 5+ years experience a plus Additional Information: Fullpower does not sponsor work visas - must already be authorized to work in the United States The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days. WeRide.ai Silicon Valley team is looking for an experienced and innovative data scientist for its growing metrics team to support the development and validation of both L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems. The level depends on the candidate's experience and qualification. The metrics team is at the forefront of accelerating the development and deployment of cutting-edge ADAS/AV technologies. As a Senior Data Scientist on this team, you will play a pivotal role in ensuring the safety, reliability, and efficiency of our autonomous systems. You will be responsible for developing and implementing rigorous evaluation frameworks and advanced statistical methodologies to assess overall system performance, as well as the performance of critical sub-systems across software releases, and different territories. Your work will directly inform crucial engineering decisions, guide iterative improvements, and contribute to the successful commercialization of our ADAS/AV stack. What You Will Do: Develop Rigorous Evaluation Frameworks: Design, develop, and implement advanced statistical frameworks for the comprehensive evaluation of ADAS/AV system performance, with a strong emphasis on safety, compliance, and progress metrics. Define and Monitor System Performance: Define, measure, and monitor key performance indicators (KPIs) for the overall ADAS/AV system. Develop automated data pipelines and reporting mechanisms to track these metrics across software releases. Evaluate Sub-system Performance: Define and implement metrics to evaluate the performance of individual sub-systems. Utilize these metrics to provide actionable insights that guide and accelerate sub-system development and improvement. Statistical Analysis and Experimentation: Apply advanced statistical techniques, including hypothesis testing, experimental design, and causal inference, to analyze complex behavioral data and derive robust insights into system performance and regressions between releases. Partner with Engineering Teams: Collaborate closely with Simulation, Systems Engineering, Product, and Software Development teams to integrate evaluation insights into the development lifecycle, inform release readiness, and ensure alignment on performance targets. Technical Leadership and Mentorship: Provide technical leadership on complex data science problems, champion best practices in data analysis and statistical rigor, and mentor junior data scientists within the team. Data Visualization and Communication: Create compelling data visualizations and communicate complex analytical findings clearly and concisely to diverse audiences, ranging from technical engineers to senior leadership. Requirements: Quantitative Degree: Master's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. Extensive Industry Experience: 3+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models. Advanced Statistical Expertise: Deep expertise in advanced statistical methods and their application in real-world settings, including experimental design, hypothesis testing, regression analysis, causal inference and time series analysis, etc. Technical Problem Formulation: Proven ability to translate ambiguous real-world challenges into clearly defined data science problems, identify appropriate methodologies, and deliver effective solutions. Data Manipulation and Analysis: Proficiency in using programming languages (e.g., Python, R) and SQL for data extraction, manipulation, and analysis. Communication: Excellent verbal and written communication skills, with the ability to tailor technical explanations to various stakeholders. Flexibility: Ability to collaborate effectively with teams in different time zones. Preferred Qualifications: PhD degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. 5+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models. Experience with large-scale evaluation frameworks for complex software systems, particularly in autonomous driving or robotics. Familiarity with ADAS/AV system architectures and the behavioral challenges inherent in autonomous driving. Knowledge of simulation platforms and their role in data generation and system evaluation. Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. WeRide.ai offers competitive salary depending on the experience. Employee benefits include:Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and DinnerPaid vacations and holidays 401K plan

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Wed love to chat if you have: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Key Job Functions Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Expected Outcome in 6-12 months Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented Preferred Skills Data analytics and models Rule development Dashboard Creation Project Management Strong Communication Notes from Hiring Manager: Strong SQL proficiency Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in AWS Quicksight and Tableau Strictly contract to cover multiple leaves over a 1 yr. period. Potential to extend based on business need and performance. Day shift: M-F Pacific time Multiple Zoom interviews (2-3) SQL assessment during 1st interview. MUST HAVE: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Experience in SQL, Python, Excel including key data science libraries. Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation. Experience in data visualization including Tableau. Experience working with large datasets.

Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you. Job Description In this role, you will be part of a brand new, trend setting Cognitive Intelligence team which is applying Machine learning and AI to solve complex, business critical problems in the financial services industries. This position within the Cognitive Intelligence team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product, and business. As a real-time transactional intelligence service, our solutions have to be scalable, secure, efficient, and extremely fault-tolerant. A successful candidate will bring: deep technical and software expertise; ability to define visionary, ground breaking products; desire to have an industry-wide impact; and an ability to work within a fast moving, startup environment to rapidly deliver services that drive broad business impact. Responsibilities: Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models. Present exploratory findings to both, technical and management teams, verbally and in writing. Partner with Product and Engineering teams to explore new opportunities. Engage in collaborating across team members to meet research and product goals. Influence product features and product roadmap through exploratory analysis. Qualifications Minimum qualifications: PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. Strong knowledge of mathematics. Strong knowledge of machine learning and statistics. Strong knowledge of designing algorithms. Some experience in Python and Tensorflow. Preferred qualifications: Strong knowledge of deep learning. Strong knowledge of reinforcement learning. Strong experience in Tensorflow or similar frameworks. Working experience in C++. Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client's business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing statistical analyses. Qualifications A proven passion for generating insights from data. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Expertise in mathematics and applied statistics, computer science, and visualization capabilities. Curious and an excellent learner. Able to research, explore and acquire working knowledge in new areas. A complete understanding of standard statistical techniques like MLE/QMLE, GMM, OLS/GLS, univariate and multivariate time series models (e.g. ARIMA, DLM's, VAR's), regression model diagnostics for time series and cross sectional data, along with Machine Learning methodologies like Random Forests, SVM's and Boosting/Bagging. The ideal candidate would know when and how to apply these alternative methodologies, and the relative advantages/disadvantages of each for a particular business case. Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab Highly effective communicator; able to communicate complex quantitative analysis in a clear, precise & actionable way that is meaningful to general business audience and credible to client's data scientists. Fluency with at least one scripting language such as Python, Java, or C/C++. Expertise with relational databases and SQL. NoSQL is a big plus. REQUIREMENTS: MS or Ph.D. preferred in a quantitative Social Science (e.g. Economics) or Statistics with a substantive field interest. At least 5 years' experience in business, consulting or applied field research with project lead responsibilities for solving analytics problems using quantitative approaches. Demonstrated track record producing models and actionable insights using advanced statistical methods. Experience working with large data sets using distributed computing tools, e.g. Map/Reduce, Hadoop, Hive, etc. Additional Information All your information will be kept confidential according to EEO guidelines.

3MK Software Solutions is the leading software service soltions provider and IT Staffing Supplier company, outsourcing and complex implementation services for the business across different functional areas and technologies with a core focus on software development and web designing development and GIS Software solutions and services. Our team is our core strength, we have selected the most skilled and talented specialists from the IT industry, and we continuously invest in developing their capabilities. The core management has many years of experience and has successfully leaded complex projects for major corporate in the field of healthcare, communication, retail and finance. During the term of these projects, the team had needed to develop an advanced implementation methodology. Job Description JD: We are seeking a smart and engaged Data Scientist to work with our large data sets. As an intelligence connection & search-product oriented firm you can imagine the amount of data we're uncovering . We need your help developing advanced mathematical and statistical models to map data and deliver web analytics. Our product is widely utilized but is perhaps most useful in an academic and / or research capacity. · Natural Language Processing (NLP) , and Machine Learning · Minimum Required Skills: R, Python, SQL, SQL, Hadoop, Algorithms, Machine Learning, Data Mining · Data Scientist - machine learning & NLP modeling · Machine learning development and deployment · advanced NLP modeling · big data framework experience (Spark, MapReduce) · Bachelor's or Master's degree in Computer Science, Statistics, or Mathematics · Develop statistical modeling techniques for pattern recognition problems. · Develop code in Python, R, and SQL, or other object oriented languages for modeling optimization, simulation, and statistical analysis. · Build models that maximize performance and accuracy · Strategic planning and project management. Additional Information All your information will be kept confidential according to EEO guidelines.

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology. In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded. Job Description We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate business objectives into actionable data analysis and communicate findings clearly to technical and non-technical audiences. Qualifications Responsibilities: • Searching for data sets matching data analytics requirements; • Applying transformations to cleanse and shape data set prior to analysis; • Performing exploratory data analysis; • Applying techniques for selecting representative data set features ; • Defining the most suitable machine learning method based on data product requirements; • Applying statistical methods to solve domain problems; • Applying data sampling techniques; • Developing and testing statistical models; • Defining procedures for obtaining data, ensuring validity and accuracy; Collaborating with business units to elicit data analytics requirements; Skills: Required • Analytical thinking; • Understanding of statistics fundamentals; • In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig); • In-depth knowledge on machine learning methods; • Experience with scripting languages such as Python; • Understanding of main statistical methods; • Understanding of sampling techniques; • Understanding of descriptive and inferential statistics concepts; • Business domain experience in one of the following areas: retail, enterprise mobility, healthcare; • B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required • M.Sc. degree in related field is desirable. Additional Information Tanya Danylevska Talent acqusition team Samsung SDSA [email protected]

Fraud Strategy Data Scientist, Risk Data Scientist w/Fraud, Risk Analytics, Data Analysis, Data Science, Fraud Mitigation, Industry: eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse, SQL, Tableau, Data Science Libraries Experience level: Mid-senior Experience required: 3 Years Education level: Bachelor's degree Job function: Finance Industry: Financial Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Note: This is a hybrid position, so candidates must be based in the San Jose area. JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. We'd love to chat if you have: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor's degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Key Job Functions Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Expected Outcome in 6-12 months Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented Preferred Skills Data analytics and models Rule development Dashboard Creation Project Management Strong Communication Notes from Hiring Manager: Strong SQL proficiency Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in AWS Quicksight and Tableau Strictly contract to cover multiple leaves over a 1 yr. period. Potential to extend based on business need and performance. Day shift: M-F Pacific time Multiple Zoom interviews (2-3) - SQL assessment during 1st interview. MUST HAVE: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor's degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Experience in SQL, Python, Excel including key data science libraries. Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation. Experience in data visualization including Tableau. Experience working with large datasets.

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Wed love to chat if you have: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Key Job Functions Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Expected Outcome in 6-12 months Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented Preferred Skills Data analytics and models Rule development Dashboard Creation Project Management Strong Communication Notes from Hiring Manager: Strong SQL proficiency Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in AWS Quicksight and Tableau Strictly contract to cover multiple leaves over a 1 yr. period. Potential to extend based on business need and performance. Day shift: M-F Pacific time Multiple Zoom interviews (2-3) SQL assessment during 1st interview. MUST HAVE: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Experience in SQL, Python, Excel including key data science libraries. Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation. Experience in data visualization including Tableau. Experience working with large datasets.

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 1-3 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. ● Bachelor's/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience ● Experience using statistics and data science (machine learning & AI) to solve complex business problems ● Proficiency in SQL, Python, AWS, Excel including key data science libraries ● Proficiency in data visualization including Tableau ● Experience working with large datasets ● Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. ● Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes ● Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. ● Desirable to have experience or aptitude solving problems related to risk using data science and analytics ● Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Item embedding/recommendation engine Deep learning and recommendation engine @ scale for item and product embeddings Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP Requirements Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About The Opportunity and Team AI-powered search (such as ChatGPT, Gemini, and Perplexity) are reshaping how people discover, evaluate, and understand brands. Unlike traditional search channels, these platforms generate synthesized responses, introducing new challenges around brand visibility, accuracy, sentiment, and trust. Within the Growth Marketing & Insights organization, our team strives to develop deep Category & Customer Insights, as well as measure Marketing Efficiency, operating at the intersection of analytics, experimentation, and strategy. We thrive in ambiguity, move quickly through learning loops, and build repeatable, AI-first measurement frameworks that inform growth decisions. We partner closely with Product, GTM, Finance, and Engineering to bring clarity to emerging problem spaces. About the Role We're looking for a Lead Growth Marketing Data Scientist to define and measure success across emerging AI surfaces. This is a highly strategic individual contributor role responsible for inventing the analytics, metrics, and insights that guide growth optimization in a fast-evolving environment. You will work closely with executives and cross-functional partners in a complex, multi-layered organization. You will move teams from intuition to evidence and help compose the organization's overall AI Search approach. What You'll Do * Define and evolve measurement metrics & frameworks for brand presence performance in AI-powered search and answer engines. * Compose exploratory analyses and experiments to drive actions, translating insights into repeatable playbooks through ongoing iterations & feedback. * Develop proxies and heuristics to connect brand visibility and sentiment to business outcomes (e.g., MAU, LTV, GNARR) where direct attribution is not possible * Build scalable scorecards, dashboards, or other creative ways of visualization that enable self-serve access to performance * Set quarterly targets, monitor weekly performance, and deliver actionable insights to senior marketing leaders. * Translate complex findings into clear narratives that influence strategic decisions and the company-wide AI Search strategy and roadmap. * Partner deeply with PMM, GTM, SEO/GEO, Social, PR, and Media teams to align on success metrics, priorities, and tradeoffs. What You'll Need to Succeed * 6 - 10+ years of experience in growth data science, analytics, or applied experimentation * Passionate about AI, consumer trends, brand outcomes, and marketing-led growth * Strong analytical and statistical reasoning, with comfort working from imperfect or incomplete data * Experience crafting experiments or measurement frameworks without a clear ground truth * Strategic attitude with the ability to synthesize insights into action * Proven ability to operate in highly ambiguous, zero-to-one problem spaces as a self-starter * Strong communication and storytelling skills, influencing across a large, matrixed organization Nice to Have * Experience with Search, SEO, recommender systems, or AI/ML-powered products * Background in NLP, sentiment analysis, or brand measurement * Experience defining analytics strategy for emerging or first-of-its-kind initiatives Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 -- $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $163,200 - $236,400 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. 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. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Fullpower -AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services. Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes. The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications. Job Responsibilities: Work with health data and time-series sensor data Connect biomedical sensor data with medical, health, and fitness outcomes Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking Develop visualizations and tools for understanding and annotating data Optimize algorithms for running on embedded devices and in the cloud Design and run experiments and clinical trials Processing, cleaning, and combining different data sources to create new datasets Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions Software skills: Expertise in Python and packages such as numpy, pandas, scikit-learn Experience with a deep learning framework such as Tensorflow, py Torch, or equivalent Experience working with databases including familiarity with SQL Experience with Amazon Web Services (AWS) or Google Cloud Experience with C++ is a plus Leadership qualities: Self starter Strong interpersonal and communication skills Education and Experience: Experience applying data science and machine learning to real-world problems Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent Graduate degree and/or 5+ years experience a plus Additional Information: Fullpower does not sponsor work visas - must already be authorized to work in the United States The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.

Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you. Job Description In this role, you will be part of a brand new, trend setting Cognitive Intelligence team which is applying Machine learning and AI to solve complex, business critical problems in the financial services industries. This position within the Cognitive Intelligence team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product, and business. As a real-time transactional intelligence service, our solutions have to be scalable, secure, efficient, and extremely fault-tolerant. A successful candidate will bring: deep technical and software expertise; ability to define visionary, ground breaking products; desire to have an industry-wide impact; and an ability to work within a fast moving, startup environment to rapidly deliver services that drive broad business impact. Responsibilities: Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models. Present exploratory findings to both, technical and management teams, verbally and in writing. Partner with Product and Engineering teams to explore new opportunities. Engage in collaborating across team members to meet research and product goals. Influence product features and product roadmap through exploratory analysis. Qualifications Minimum qualifications: PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. Strong knowledge of mathematics. Strong knowledge of machine learning and statistics. Strong knowledge of designing algorithms. Some experience in Python and Tensorflow. Preferred qualifications: Strong knowledge of deep learning. Strong knowledge of reinforcement learning. Strong experience in Tensorflow or similar frameworks. Working experience in C++. Additional Information All your information will be kept confidential according to EEO guidelines.

3MK Software Solutions is the leading software service soltions provider and IT Staffing Supplier company, outsourcing and complex implementation services for the business across different functional areas and technologies with a core focus on software development and web designing development and GIS Software solutions and services. Our team is our core strength, we have selected the most skilled and talented specialists from the IT industry, and we continuously invest in developing their capabilities. The core management has many years of experience and has successfully leaded complex projects for major corporate in the field of healthcare, communication, retail and finance. During the term of these projects, the team had needed to develop an advanced implementation methodology. Job Description JD: We are seeking a smart and engaged Data Scientist to work with our large data sets. As an intelligence connection & search-product oriented firm you can imagine the amount of data we're uncovering. We need your help developing advanced mathematical and statistical models to map data and deliver web analytics. Our product is widely utilized but is perhaps most useful in an academic and / or research capacity. · Natural Language Processing (NLP), and Machine Learning · Minimum Required Skills: R, Python, SQL, SQL, Hadoop, Algorithms, Machine Learning, Data Mining · Data Scientist - machine learning & NLP modeling · Machine learning development and deployment · advanced NLP modeling · big data framework experience (Spark, MapReduce) · Bachelor's or Master's degree in Computer Science, Statistics, or Mathematics · Develop statistical modeling techniques for pattern recognition problems. · Develop code in Python, R, and SQL, or other object oriented languages for modeling optimization, simulation, and statistical analysis. · Build models that maximize performance and accuracy · Strategic planning and project management. Additional Information All your information will be kept confidential according to EEO guidelines.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About the Role: Do you enjoy solving business problems and uncovering insights from data? Join the Product Data Science team within Adobe Experience Cloud! We are a high-impact group that applies machine learning and advanced analytics to help product, marketing, and engineering teams improve how customers realize value from Adobe's enterprise products. This role is ideal for someone who's curious, quantitative, and eager to grow as a data scientist while working on meaningful problems. In This Role, You Will: Design, build and productionize machine-learning models that generate insights, segment users, predict outcomes, and drive measurable business impact. Analyze product usage and customer datasets to uncover behavioral patterns, feature adoption trends, and growth opportunities. Build and maintain robust data workflows that clean, transform, and validate structured and unstructured data using scalable tools and platforms (such as Databricks, Spark or similar). Develop reproducible codebases, notebooks, and utilities that improve efficiency, consistency, and collaboration across analytics and ML projects. Practice and promote strong data practices, including transparency, version control, reproducibility, and compliance with governance and security requirements. Visualize and communicate analytical results clearly, presenting findings and recommendations that enable partners to make data-driven decisions. Collaborate cross-functionally with product managers, marketers, engineers, and other data scientists to define data science questions, develop solutions, validate outcomes, and translate results into actionable insights. You Will Thrive in This Role If You Have: Proficiency in Python and SQL, with hands-on experience in data manipulation and applied machine learning using libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. Proven ability in designing and implementing scalable data and feature pipelines using distributed frameworks such as Spark or Databricks, ensuring data quality, performance, and reproducibility. Strong foundation in statistics and experimental design, including hypothesis testing, regression, and model evaluation. Ability to apply software-engineering standards; modular, well-documented code, version control (Git), reproducible workflows, and testing for model and data quality. Strong problem-solving and critical-thinking skills, with the ability to work rigorously through ambiguity and make sound technical decisions. Collaborative approach and effective communication skills, being able to translate complex technical results into clear insights and work closely with cross-functional partners. 4+ years of relevant experience in data science or related technical roles, preferably within applied machine learning or product data science environments Postgraduate degree or equivalent experience in a quantitative field (such as Statistics, Computer Science, Data Science, Engineering, or related field). You Could Be an Especially Great Fit If You Have: Familiarity with NLP, LLMs or Generative AI, including embeddings, topic modeling, prompt engineering, or retrieval-augmented generation (RAG). Exposure to MLOps and workflow practices that support scalable, reliable analytics and model deployment (model versioning, monitoring, automation). Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $138,600 - $200,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.