Data scientist jobs in Apple Valley, CA - 2,373 jobs

We are seeking a Data Analyst and Data Visualization Specialist to support the Merchandise Planning and Inventory Management (MPIM) data analytics and reporting team. The ideal candidate should be an excellent storyteller and a strong technical contributor with experience in solving business problems using data-driven tools. The responsibilities include delivering a suite of analytical products such as analyses, dashboards, insights, and recommendations. Collecting, analyzing, and presenting data to enhance strategic decision-making and tracking the benefits of data products are key aspects of the role. A high level of curiosity about the business and the ability to uncover impactful insights from data are essential. Effectively communicating these insights is essential for building confidence and enabling decisions that drive business value. About the Job • Conduct analysis on complex retail data, measure and track data created by data products, and convert them into key KPI metrics. • Support business stakeholders and regional data analysts by understanding their needs and providing guidance and support. • Create dashboards to track the adoption and business impact of launched features and data products. • Dive deep into complex business problems, provide insights, and partner with cross-functional teams on implementation. • Collaborate with data science, data analytics, and product managers on planning, goal setting, and prioritization. • Work with data and engineering teams to improve data quality, data analysis, and business debugging. • Bring data to life through storytelling in a clear and meaningful way to audiences with varying levels of technical expertise, informing key strategic decisions. • Promote a culture of data-driven technical excellence, ownership, and collaboration. • Optimize and standardize reporting through automation About You • Over 3 years of professional experience in analyzing complex data, drawing conclusions, and making recommendations. • More than 3 years of applied data visualization experience, with proficiency in Looker or PowerBI. • At least 3 years of experience in extracting and manipulating large data sets from various relational databases using SQL (experience with Google BigQuery or MSsql). • Experience with data integration tools such as Data Fusion, Alteryx, or Dataiku is a plus. • Coding skills in at least one statistical or programming language (preferably Python or R) to import, summarize, and analyze data is a plus. • Hands-on experience working with big data, such as sales, inventory management, and planning; retail knowledge is an advantage. • Ability to translate and present complex analysis in executive summaries, with clear and effective written and verbal communication, and strong interpersonal skills. • Strong problem-solving abilities. • A Bachelor's degree in Economics, Statistics, Data Science, or Data Engineering (a Master's degree is a plus) or equivalent experience.

Elevate Data Engineer Hybrid, CA Brooksource is searching for an Associate Data Engineer to join our HealthCare partner to support their data analytics groups. This position is through Brooksource's Elevate Program, and will include additional technical training including, but not limited to: SQL, Python, DBT, Azure, etc. Responsibilities Assist in the design, development, and implementation of ELT/ETL data pipelines using Azure-based technologies Support data warehouse environments for large-scale enterprise systems Help implement and maintain data models following best practices Participate in data integration efforts to support reporting and analytics needs Perform data validation, troubleshooting, and incident resolution for data pipelines Support documentation of data flows, transformations, and architecture DevOps & Platform Support Assist with DevOps activities related to data platforms, including deployments and environment support Help build and maintain automation scripts and reusable frameworks for data operations Support CI/CD pipelines for data engineering workflows Assist with monitoring, alerting, and basic performance optimization Collaborate with senior engineers to support infrastructure-as-code and cloud resource management Collaboration & Delivery Work closely with data engineers, solution leads, data modelers, analysts, and business partners Help translate business requirements into technical data solutions Participate in code reviews, sprint planning, and team ceremonies Follow established architecture, security, and data governance standards Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience) Foundational knowledge of data engineering concepts, including ETL/ELT and data warehousing Experience or coursework with SQL and relational databases Familiarity with Microsoft Azure or another cloud platform Basic scripting experience (Python, SQL, PowerShell, or Bash) Understanding of version control (Git) Preferred / Nice-to-Have Skills Exposure to Azure services such as Azure Data Factory, Synapse Analytics, Azure SQL, or Data Lake Basic understanding of CI/CD pipelines and DevOps concepts Familiarity with data modeling concepts (star schema, normalization) Experience of fa Interest in automation, cloud infrastructure, and reliability engineering Internship or project experience in data engineering or DevOps environments

About us: Intuitive is an innovation-led engineering company delivering business outcomes for 100's of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers: Modernization & Migration Application & Database Modernization Platform Engineering (IaC/EaC, DevSecOps & SRE) Cloud Native Engineering, Migration to Cloud, VMware Exit FinOps Data & AI/ML Data (Cloud Native / DataBricks / Snowflake) Machine Learning, AI/GenAI Cybersecurity Infrastructure Security Application Security Data Security AI/Model Security SDx & Digital Workspace (M365, G-suite) SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility Email, Collaboration, Directory Services, Shared Files Services Intuitive Services: Professional and Advisory Services Elastic Engineering Services Managed Services Talent Acquisition & Platform Resell Services About the job: Title: Imaging Data Engineer/Architect Start Date: Immediate # of Positions: 1 Position Type: Contract/ Full-Time Location: San Francisco, CA Notes: Imaging data Engineer/architect who understands Radiology and Digital pathology, related clinical data and metadata. Hands-on experience on above technologies, and with good knowledge in the biomedical imaging, and data pipelines overall. About the Role We are seeking a highly skilled Imaging Data Engineer/Architect to join our San Francisco team as a Subject Matter Expert (SME) in radiology and digital pathology. This role will design and manage imaging data pipelines, ensuring seamless integration of clinical data and metadata to support advanced diagnostic and research applications. The ideal candidate will have deep expertise in medical imaging standards, cloud-based data architectures, and healthcare interoperability, contributing to innovative solutions that enhance patient outcomes. Responsibilities Design and implement scalable data architectures for radiology and digital pathology imaging data, including DICOM, HL7, and FHIR standards. Develop and optimize data pipelines to process and store large-scale imaging datasets (e.g., MRI, CT, histopathology slides) and associated metadata. Collaborate with clinical teams to understand radiology and pathology workflows, ensuring data solutions align with clinical needs. Ensure data integrity, security, and compliance with healthcare regulations (e.g., HIPAA, GDPR). Integrate imaging data with AI/ML models for diagnostic and predictive analytics, working closely with data scientists. Build and maintain metadata schemas to support data discoverability and interoperability across systems. Provide technical expertise to cross-functional teams, including product managers and software engineers, to drive imaging data strategy. Conduct performance tuning and optimization of imaging data storage and retrieval systems in cloud environments (e.g., AWS, Google Cloud, Azure). Document data architectures and processes, ensuring knowledge transfer to internal teams and external partners. Stay updated on emerging imaging technologies and standards, proposing innovative solutions to enhance data workflows. Qualifications Education: Bachelor's degree in computer science, Biomedical Engineering, or a related field (master's preferred). Experience: 5+ years in data engineering or architecture, with at least 3 years focused on medical imaging (radiology and/or digital pathology). Proven experience with DICOM, HL7, FHIR, and imaging metadata standards (e.g., SNOMED, LOINC). Hands-on experience with cloud platforms (AWS, Google Cloud, or Azure) for imaging data storage and processing. Technical Skills: Proficiency in programming languages (e.g., Python, Java, SQL) for data pipeline development. Expertise in ETL processes, data warehousing, and database management (e.g., Snowflake, BigQuery, PostgreSQL). Familiarity with AI/ML integration for imaging data analytics. Knowledge of containerization (e.g., Docker, Kubernetes) for deploying data solutions. Domain Knowledge: Deep understanding of radiology and digital pathology workflows, including PACS and LIS systems. Familiarity with clinical data integration and healthcare interoperability standards. Soft Skills: Strong analytical and problem-solving skills to address complex data challenges. Excellent communication skills to collaborate with clinical and technical stakeholders. Ability to work independently in a fast-paced environment, with a proactive approach to innovation. Certifications (preferred): AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or equivalent. Certifications in medical imaging (e.g., CIIP - Certified Imaging Informatics Professional).

Analyze large, complex datasets from diverse sources to uncover insights and identify opportunities for innovation. Design, build, and deploy robust machine learning models with meaningful uncertainty quantification. Perform rigorous data engineering and model evaluation, including feature engineering, hyperparameter tuning, and model selection. Collaborate with engineering teams to integrate models into production codebases, promoting best practices in code quality and maintainability. Communicate findings and technical results clearly to both technical and non-technical stakeholders. Master's degree with 6+ years of experience or Ph. D. with 3+ years in Computer Science, Engineering, Physics, Applied Mathematics, Statistics, or a related quantitative field. Machine Learning Expertise: Strong theoretical foundation and hands-on experience in ML algorithms, deep learning, AI, statistics, or optimization. Programming Skills: Proficient in Python, with motivation to write efficient, maintainable, testable, and well-documented code. ML Frameworks: Experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow. Problem Solving: Demonstrated analytical and critical thinking skills, with a track record of delivering impactful R&D solutions. Team Collaboration: Proven success working in cross-functional teams with strong execution and communication skills. Domain expertise in semiconductor engineering, Bayesian statistics, process engineering, multi-physics modeling, or numerical simulation. Familiarity with Linux/Unix operating systems. Experience with MLOps tools and principles (e. g. , Docker, CI/CD pipelines).

Data Scientist, Pricing Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company's financial performance. We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You'll operate at the intersection of economics, machine learning, experimentation, and product strategy - tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory - and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace. What You'll Do * Build and maintain pricing metrics, dashboards, and frameworks. * Run experiments and causal analyses to measure impact and drive decisions. * Develop predictive + statistical models that improve pricing accuracy. * Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment. * Deliver insights and narratives that inform executive strategy. Skills & Qualifications * Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise. * Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring. * Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.). * Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making. * Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs. * High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition. * Effective communicator - able to tell the story behind the model to both highly technical and non-technical audiences. Base salary range for this role varies. Generally, the base salary range is $135,000 - $199,000 CAN annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K). JR 9200 #LI-KC1 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.

The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your data science expertise to help the client conduct training assessments and after actions based on data generated during live, virtual and constructive training. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to increase technical and tactical expertise of Marine Corps units. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used to improve Marine Corps training readiness. Work with us as we use data science for good. Join us. The world can't wait. You Have: 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 5+ years of experience with statistical and general-purpose programming languages for data analysis 5+ years of experience analyzing structured and unstructured data sources Experience developing predictive data models, quantitative analyses and visualization of targeted data sources Experience leading the development of solutions to complex programs Experience with natural language processing, text mining, or machine learning techniques Secret clearance Bachelor's degree Nice If You Have: Experience working with Marine Corps Live, Virtual and Constructive Training Systems Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Who We AreJoin a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For list for ten consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit **************************** We DoIdentifies business trends and problems through complex data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Designs, develops, and implements the most valuable business solutions for the organization. HOW YOU'LL CONTRIBUTE Leverage skills and advanced learning in handling large datasets to perform exploratory analysis, construct relevant variables, and perform sample design Build predictive models to improve business operations Recommend and develop innovative analytic solutions Prepare presentations and documentation of models and analytical solutions Other duties as assigned WHAT YOU'LL BRING Required Education, Experience, Certification/Licensure Bachelor's degree or equivalent in a related quantitative field such as Mathematics, Statistics or Computer Science Master's or PhD degree preferred 0-2 years of related work experience Typically has related work and/or internship experience KNOWLEDGE, SKILLS, AND ABILITIES (KSAs) Some experience with large datasets Knowledge and experience with diverse statistical and data mining methods (e.g. - GLM/Regression, Trees, Clustering, PCA, SVM, Time Series analysis etc.) Experience with packages/languages such as SAS, R, or Python Understanding of RDBs and interactive SQL programming skills Aptitude for picking up new technologies Written and verbal communication skills Interpersonal skills Self-motivated; self-starter Ability to manage multiple tasks and respond quickly to requests for information Proficient in Microsoft Word, Excel and PowerPoint What We OfferBy choice, we don't simply accept individuality - we embrace it, we support it, and we thrive on it! Our People First Culture celebrates diversity, equity and inclusion not simply because it's the right thing to do, but also because it's the key to our success. We are proud to foster an authentic and inclusive workplace For All. You are free and encouraged to bring your entire, unique self to work. First American is an equal opportunity employer in every sense of the term. ** Note that the following statements only apply to candidates who will be working from an unincorporated area within Los Angeles County. ** First American will consider for employment all qualified applicants, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws (e.g., the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act). First American intends to conduct a review of an applicant's criminal history in connection with a conditional offer. First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements. Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product Development organization. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success. If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of making conversations more valuable. Your Impact * Collaborate with Product teams to understand business objectives and challenges, translating them into data-driven insights and recommendations. * Develop and implement predictive models, analytical tools, and methodologies to analyze product usage and customer behaviors. * Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies. * Design and Execute experiments to test hypotheses and measure the effectiveness of various features, product experiences and strategies. * Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation. * Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company's Product roadmaps. * Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes. * Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're Looking for Someone Who * 3+ years as a Data Scientist, in a software technology or AI-driven company. * Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization. * Strong background in data analysis, statistical modeling, and other data science techniques. * Familiarity with B2B SaaS business models. * Excellent ability to translate complex findings into actionable insights for non-technical stakeholders. * Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously. * Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment. About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact *********** at least 3 business days before your interview. * Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $155,000 to $185,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package. #LI-Hybrid

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

Data Scientist Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. - Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field. - Programming skills in one of the following languages: Java, Scala, C/C++. - Knowledge of one of the scripting languages such as Python or Perl. - Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R. - Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). - Working knowledge of Relational Data Base Systems and SQL. - Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set. - Excellent communications and organizational skills - Prior experience in this area with eCommerce or Online Retail would be a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

SR. DATA SCIENTIST - AI/ML & LLM (AR/PA IT) Bowhead seeks a Sr. Data Scientist - AI/ML & LLM Specialist to join our team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The Sr. Data Scientist - AI/ML & LLM Specialist will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with engineers, cybersecurity personnel, and program analysts within an agile environment. They will report to the Program Manager of the Task Order. They will consider overall project design including cost, and schedule that may be associated with a project. **Responsibilities** + Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks + Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn + Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines + Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines + Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.) + Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices + Conduct research to identify and assess new technology solutions for automating existing reporting processes. + Collaborate with cross-functional teams to design hardware and software architectures and system hosting strategies. + Lead the development of interfaces and software code to efficiently retrieve, modify, and update data. + Support the research and development of artificial intelligence/machine learning methods for advanced data analysis. **Qualifications** + Active DoD Security Clearance (Secret or higher required) + Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments + Must hold CompTIA Security+ (CE) certification + Strong problem-solving skills and the ability to innovate and implement creative solutions. + Excellent communication skills to collaborate effectively with cross-functional teams. + Attention to detail and a commitment to producing high-quality results. + Ability to provide clear and comprehensive technical documentation. + Proven experience in providing training and knowledge transfer to team members. Physical Demands: + Must be able to lift up to 25 pounds + Must be able to stand and walk for prolonged amounts of time + Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location. Applicants may be subject to a pre-employment drug & alcohol screening and/or random drug screen, and must follow UIC's Non-DOT Drug & Alcohol Testing Program requirements. If the position requires, an applicant must pass a pre-employment criminal background history check. All post-secondary education listed on the applicant's resume/application may be subject to verification. Where driving may be required or where a rental car must be obtained for business travel purposes, applicants must have a valid driver license for this position and will be subject to verification. In addition, the applicant must pass an in-house, online, driving course to be authorized to drive for company purposes. UIC is an equal opportunity employer. We evaluate qualified applicants without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics EOE/D/V. In furtherance, pursuant to The Alaska Native Claims Settlement Act 43 U.S.C. Sec. 1601 et seq., and federal contractual requirements, UIC and its subsidiaries may legally grant certain preference in employment opportunities to UIC Shareholders and their Descendants, based on the provisions contained within The Alaska Native Claims Settlement Act. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. Please view Equal Employment Opportunity Posters provided by OFCCPhere (******************************************* . All candidates must apply online at ***************** , and submit a completed application for all positions they wish to be considered. Once the employment application has been completed and submitted, any changes to the application after submission may not be reviewed. Please contact a UIC HR Recruiter if you have made a significant change to your application. In accordance with the Americans with Disabilities Act of 1990 (ADA), persons unable to complete an online application should contact UIC Human Resources for assistance *****************/careers/recruitment/ . The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) UIC Government Services (UICGS / Bowhead) provides innovative business solutions to federal and commercial customers in the areas of engineering, maintenance services, information technology, program support, logistics/base support, and procurement. Collectively, the fast-growing Bowhead Family of Companies offers a breadth of services which are performed with a focus on quality results. Headquartered in Springfield, VA, we are a fast-growing, multi-million-dollar company recognized as a top Alaska Native Corporation providing services across the Department of Defense and many federal agencies. Bowhead offers competitive benefits including medical, dental, vision, life insurance, accidental death and dismemberment, short/long-term disability, and 401(k) retirement plans as well as a paid time off programs for eligible full-time employees. Eligible part-time employees are able to participate in the 401(k) retirement plans and state or contract required paid time off programs. **Join our Talent Community!** Join our Talent Community (************************************************************************ to receive updates on new opportunities and future events. **ID** _2025-23125_ **Category** _Information Technology_ **Location : Location** _US-CA-Corona_ **Min** _USD $135,000.00/Yr._ **Max** _USD $175,000.00/Yr._ **Minimum Clearance Required** _Secret_ **Travel Requirement** _Less than 10%_

Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the Role The Senior Data Scientist III contributes to new product development by proposing data-driven solutions for complex customer challenges. They use advanced analytical techniques and become subject matter experts. Additionally, they collaborate with other data scientists and engineers to design cutting-edge AI solutions. The role also involves leading AI and machine learning model development, analyzing extensive datasets, and guiding junior team members. Responsibilities * Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. * Leading the development of advanced AI and machine learning models to solve complex business problems * Analyzing large datasets to identify patterns and trends that can inform AI development. * Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs. * Leading the automation and lifecycle management of sophisticated data systems. * Mentoring junior data scientists and provide guidance on AI and machine learning best practices. * Designing APIs for disseminating data science outputs to various business units. * Overseeing the scaling of production systems to meet growing demands. Requirements * Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field. * Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc. * Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS. * Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc. * Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams. * Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests * Possess advanced programming skills in Python, R, or other relevant languages for data analysis. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. * Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: * Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits * Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan * Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs * Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity * Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits * Health Savings, Health Care, Dependent Care and Commuter Spending Accounts * Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact **************. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. USA Job Seekers: We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. EEO Know Your Rights.

About the RoleThe Forecasting Team at Gap Inc. applies data analysis and machine learning techniques to drive business benefits for Gap Inc. and its brands. The team's focus is to shape the company's inventory management strategy through advanced data science and forecasting techniques. The successful candidate will lead the development of advanced forecasting models across various business functions, time horizons, and product hierarchies. Areas of expertise include forecasting, time series, predictive modeling, supply chain analytics, and inventory management. You will support the team to build and deploy data and predictive analytics capabilities, in partnership with GapTech, PDM, Central Marketing & business partners across our brands.What You'll Do Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose, and optimize performance and develop statistical models and analysis for ad hoc business focused analysis. Develop software programs, algorithms and automated processes that cleanse, integrate, and evaluate large data sets from multiple disparate sources. Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols. Deliver sound, data-backed recommendations tied to business results, industry insights, and overall Gap Inc. ecosystem of technology, platform, and resources. Communicate compelling, data-driven recommendations as well as potential trade-offs, backed by data analysis and/or model outputs to influence leaders' and stakeholders' decisions. Build networks across the organization and partners to anticipate leader requests and influence data-driven decision making. Guides discussions and empowers more junior team members to identify best solutions. Who You Are Experience in developing advanced algorithms using machine leaning (ML), statistical, and optimization methods to enhance various business components in the retail sector. Hands-on experience with forecasting models, running simulations of what-if analysis, and prescriptive analytics. Experience with time series analysis, predictive modeling, hierarchical Bayesian, causal ML, and transformer-based algorithms. Experience with creating business impact in supply chain, merchandise, inventory planning, or vendor management using advanced forecasting techniques. Experience working directly with cross-functional teams such as product management, engineers, business partners. Advanced proficiency in modern analytics tools and languages such as Python, R, Spark, SQL. Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments. Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change. Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building. Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions. Required BS with 7+ years of experience (or MS with 5+ years) in Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field. People mentoring experience, ability to work independently on large scale projects. Proven ability to lead teams in solving unstructured technical problems to achieve business impact. Full stack experience across analytics, data science, machine learning, and data engineering

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Curation is a strategic initiative at the heart of the Pinner experience that enables pinners to create a life they love by discovering and curating their own taste. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems that deliver both utility and delight to our Pinners. We are looking for a Staff Data Scientist with strong product sense, good product taste, and machine learning and statistics to help advance Curation at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner, and you will work on cutting edge zero to one product bets. You will work in a highly collaborative environment, and be responsible for partnering with a diverse set of cross-functional partners across Product, Engineering, Design, Research, and more. You are expected to develop a deep understanding of Pinterest Trends, Pinner Needs, our recommendation system, and generate insights and robust methodologies to answer the “why”. The results of your work will influence our development teams, and drive product innovation. What you'll do: Build a deeper understanding of our Pinterest Curation ecosystem; understanding and quantifying the opportunities and Pinner needs around boards, trends, collages, and more. Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations. Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners. Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process. Mentor and up-level junior data scientists on the team. What we're looking for: 7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Strong interest and experience in recommendation systems and causal inference Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark) Ability to work independently and drive your own projects Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners A team player eager to partner with cross-functional partners to quickly turn insights into actions Bachelor's/Master's degree in a relevant field such as computer science, or equivalent experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$163,064-$335,720 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

SR. DATA SCIENTIST - AI/ML & LLM (AR/PA IT) Bowhead seeks a Sr. Data Scientist - AI/ML & LLM Specialist to join our team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The Sr. Data Scientist - AI/ML & LLM Specialist will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with engineers, cybersecurity personnel, and program analysts within an agile environment. They will report to the Program Manager of the Task Order. They will consider overall project design including cost, and schedule that may be associated with a project. Responsibilities * Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks * Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn * Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines * Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines * Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.) * Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices * Conduct research to identify and assess new technology solutions for automating existing reporting processes. * Collaborate with cross-functional teams to design hardware and software architectures and system hosting strategies. * Lead the development of interfaces and software code to efficiently retrieve, modify, and update data. * Support the research and development of artificial intelligence/machine learning methods for advanced data analysis. Qualifications * Active DoD Security Clearance (Secret or higher required) * Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments * Must hold CompTIA Security+ (CE) certification * Strong problem-solving skills and the ability to innovate and implement creative solutions. * Excellent communication skills to collaborate effectively with cross-functional teams. * Attention to detail and a commitment to producing high-quality results. * Ability to provide clear and comprehensive technical documentation. * Proven experience in providing training and knowledge transfer to team members. Physical Demands: * Must be able to lift up to 25 pounds * Must be able to stand and walk for prolonged amounts of time * Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location.

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description Overview: LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are looking for a talented and driven technical leader to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, policy and operations to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company. Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals. Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews. Drive org-wide impact by shaping product and business strategy through data-centric presentations. Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy. Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive member value and customer success. Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insights. Design and analyze experiments to test new product ideas or go to market strategies. Convert the results into actionable recommendations. Independently craft compelling stories; make logical recommendations; drive informed actions. Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. Mentor junior members of the team. Qualifications Basic Qualifications: Bachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. 5+ years of relevant work experience. Experience influencing strategy through data-centric presentations . Experience in SQL. Background in at least one programming language (e.g., R, Python, Scala). Experience in applied statistics and statistical modeling in at least one statistical software package. Experience telling stories with data and visualization tools Experience running platform experiments and techniques like A/B testing Preferred Qualifications: Experience with manipulating massive-scale structured and unstructured data. Proven record writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs. Working knowledge of Unix command-line/shell, git and review board. Experience leveraging government data or publicly available third-party APIs. Experience mentoring other data scientists in an official or unofficial capacity. Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives. Suggested Skills: SQL Python Statistical Analysis Data Storytelling Data Interpretation You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. Compensation: The pay range for this role is $144,000 - $236,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Responsibilities Under the general direction of the Director, Educator Quality Center, the Educator Preparation Data Scientist will perform duties as outlined below: Data Systems Project Management * Design, develop, and manage systems and processes for collecting, extracting, loading, and integrating high-priority credential program and student data into the EdQ operational data store. * Lead the development of dashboards and reporting tools that support CSU educator preparation programs. * Collaborate with a wide range of stakeholders-including campus and Chancellor's Office staff, internal IT and IR&A teams, and external partners such as state and national education agencies, funding organizations, consultants, and vendors-to ensure data systems meet strategic and operational needs. Strategic Data Analysis * Conduct strategic data analyses to generate valid and reliable evidence that supports continuous improvement in CSU educator preparation programs and addresses California's educator workforce needs. * Translate analytical findings into actionable insights and communicate them clearly through data visualizations, storytelling, and presentations tailored to non-technical audiences. * Evaluate the impact of key initiatives using quantitative evidence and support data-informed decision-making across the CSU system. Support Effective Use of Data * Develop and refine systems and processes that improve the quality, consistency, and usability of existing educator preparation metrics administered by EdQ. * Define and monitor key performance indicators (KPIs) in collaboration with educator preparation faculty and practitioners to reflect their goals and values. * Promote the standardization and adoption of shared data tools, software platforms, and protocols across CSU educator preparation programs. Qualifications This position requires: * Demonstrated interest in improving educational outcomes, particularly in educator preparation. * Master's degree or higher in a technical, computational, or quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Educational Measurement, or related discipline). * A minimum of four years of professional experience, including at least one year of hands-on experience in data science, analytics, or applied research. * Proven ability to deliver data products, tools, or original research-preferably in an educational or public-sector context, using large or complex datasets. * Strong quantitative skills, including experience with statistical methods used in education research. * Proficiency with one or more statistical software tools or programming languages (e.g., R, Python, Stata). * Working knowledge of SQL, relational databases, and data visualization tools (e.g., Tableau, Power BI). * Experience with data mining, exploration, and visualization techniques. * Familiarity with data systems design, development, and management. * Strong project management skills and ability to work collaboratively with cross-functional teams. * Experience administering surveys using platforms such as Qualtrics, SurveyMonkey, or QuestionPro. * Experience working with sensitive or confidential data in a secure computing environment. Preferred Qualifications * Experience with ETL (Extract, Transform, Load) processes and data warehousing solutions. * Proficiency with version control systems such as Git. * Familiarity with data governance practices, especially in educational or public-sector environments. * Experience using AI or machine learning tools (e.g., OpenAI) to enhance data analysis, automation, or reporting workflows. * Knowledge of educator preparation policy, accreditation processes, or workforce analytics. Application Period Priority consideration will be given to candidates who apply by December 2, 2025. Applications will be accepted until the job posting is removed. How To Apply Please click "Apply Now" to complete the California State University, Chancellor's Office online employment application. Equal Employment Opportunity Consistent with California law and federal civil rights laws, the CSU provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin. Reasonable accommodations will be provided for qualified applicants with disabilities who self-disclose by contacting the Senior Human Resources Manager at **************. Title IX Please view the Notice of Non-Discrimination on the Basis of Gender or Sex and Contact Information for Title IX Coordinator at: ********************************* E-Verify This position requires new hire employment verification to be processed through the E-Verify program administered by the Department of Homeland Security, U.S. Citizenship and Immigration Services (DHSUSCIS)' in partnership with the Social Security Administration (SSA). If hired, you will be required to furnish proof that you are legally authorized to work in the United States. The CSU Chancellor's Office is not a sponsoring agency for staff and Management positions (i.e., H1-B VISAS). COVID19 Vaccination Policy Per the CSU COVID-19 Vaccination Policy, it is strongly recommended that all Chancellor's Office employees who are accessing office and campus facilities follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications. Mandated Reporter Per CANRA The person holding this position is considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. CSU Out of State Employment Policy California State University, Office of the Chancellor, as part of the CSU system, is a State of California Employer. As such, the University requires all employees upon date of hire to reside in the State of California. As of January 1, 2022, the CSU Out-of-State Employment Policy prohibits the hiring of employees to perform CSU-related work outside the state of California. Background The Chancellor's Office policy requires that the selected candidate successfully complete a full background check (including a criminal records check) prior to assuming this position. Advertised: Nov 18 2025 Pacific Standard Time Applications close:

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems. Key Responsibilities Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts Translate mission needs into analytical frameworks, model requirements, and implementation strategies Validate and tune models for performance, explainability, and operational relevance Author technical reports, white papers, and decision briefings for stakeholders and senior leadership Minimum Qualifications U.S. Citizenship with an active or interim Secret clearance Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) 10+ years of professional experience in data science and leadership or senior technical role Security+ Certification Proven experience with: Python, R, SQL, and Spark for data analysis and modeling Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost Data visualization tools like Power BI, Tableau, or Plotly Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI) Additional Preferred Qualifications Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics Familiarity with DoD data governance, data labeling, and ethical AI guidelines Strong understanding of model operationalization, A/B testing, and production monitoring Knowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architectures Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner) Ability to mentor junior data scientists and lead cross-disciplinary technical teams

Esri's geocoding technology powers search and location-based workflows across the ArcGIS platform, helping organizations everywhere make smarter, data-driven decisions. From finding the right delivery address to supporting emergency response, accurate geocoding starts with high-quality and up-to-date data. As a Product Engineer on the Geocoding team, you will play a key role in designing and streamlining the processes that bring authoritative data into Esri's geocoding solutions. You'll work closely with other product engineers and GIS engineers to enhance automation strategies and help ensure our geocoding products deliver accurate results worldwide. If you are passionate about geospatial data, automation, and creating scalable solutions, this is your chance to shape the future of geocoding at Esri. Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position. Responsibilities Develop internal tools and applications using Python, C# and/or SQL Improve and maintain existing automation pipelines for recurring data updates Research potential authoritative open-data sources for geocoding data around the world Evaluate and support implementation of the datasets for use in our geocoding solution Convert, upload, and implement data into the master database Troubleshoot and resolve issues in workflows to ensure data accuracy and reliability Research and analyze geocoding issues reported through Geocoding Feedback Map Contribute to existing geocoding content sourcing efforts and assist with other tasks as needed Requirements 2+ years of experience working with developing tools with Python, C# and\or SQL Familiarity with web scraping and data engineering for geospatial data Ability to identify challenges, suggest improvements, and implement scalable solutions Strong problem-solving skills with keen attention to detail A keen attention to detail and drive to resolve any issues encountered Ability to manage priorities and tasks as needed in a fast-paced work environment Strong communication skills and the ability to collaborate across diverse teams Bachelor's in computer science, GIS, applied mathematics, geography, or a related field Recommended Qualifications Experience sourcing, evaluating, and integrating open geospatial datasets Familiarity with web search, geosearch, or geocoding applications and web APIs Geocoding with ArcGIS Desktop and ArcGIS Geocoding services Experience with data quality assurance and software testing practices Knowledge of task management and version control systems (such as GitHub, Triage) Master's in computer science, GIS, applied mathematics, geography, or a related field #LI-EL1 #LI-Hybrid