Senior data scientist jobs in El Cajon, CA - 145 jobs

A leading technology consulting firm in San Diego is seeking a Mid-level Data Scientist to unlock insights from complex data sets and use machine learning for client solutions. The role requires over 2 years of analytical experience and proficiency in languages such as R and Python, developing predictive models and visualizations. The company offers competitive compensation in the range of $77,600 to $176,000 annually, along with a comprehensive benefits package. This position prioritizes clients with data-rich environments, requiring clear communication and collaboration skills. #J-18808-Ljbffr

A technical services support company is seeking Junior to Senior Level Data Scientists to join their team across various locations in the U.S. Candidates will develop analytics applications, apply machine learning, and visualize data findings. Required qualifications include education or extensive experience in relevant fields, along with security clearance. Comprehensive benefits package included. #J-18808-Ljbffr

Intrinsic First, LLC Data Scientist II San Diego, CA·Full time Apply for Data Scientist II ***MUST reside in the greater SAN DIEGO Metropolitan Area*** We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact. About Intrinsic First, LLC Intrinsic First was founded on the academic theories associated with intrinsic motivation; everything starts from within. Intrinsic motivation generates vitality and is formed through choice (autonomy), competency (growth), and community (purpose and interaction). Our mission is to make the world a better place to work through leadership development, transparent communication, and positive interactions. We believe in trust, transparency, equity, balance, proactivity, growth, and fun. With a focus on exceptional people and exceptional operations, Intrinsic First creates a sustainable and positive culture. Description Collect, process, and analyze large structured and unstructured datasets from multiple sources. Develop, test, and deploy machine learning models to solve business problems and optimize operations. Design and implement statistical models, data pipelines, and predictive analytics solutions. Communicate findings and insights clearly through visualizations, dashboards, and reports. Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation. Stay current with emerging data science methodologies, tools, and industry best practices. Ensure compliance with data governance, privacy, and security standards. Reside within a reasonable commuting distance of the designated worksite or client facility to support periodic on-site meetings, reviews, and inspections in accordance with contract and security requirements. Participate in both on-site and virtual work as needed; while hybrid or telework arrangements may be approved, regular in-person presence is required to fulfill client, program, and compliance obligations. Ensure availability for site visits and coordination activities that support contractual commitments and operational needs. Education & Certifications Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or Bachelor's degree with additional 2 yrs relevant experience). Experience and Qualifications 2-4+ years of hands-on, applied experience in data science, machine learning, or analytics. Proficiency in Python or R for statistical modeling, data wrangling, and machine learning. Experience developing, tuning, and deploying models using frameworks such as Scikit-learn, TensorFlow, or PyTorch. Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) strongly preferred. Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred. Knowledge, Skills, and Abilities Strong analytical thinker with the ability to translate data insights into actionable business solutions. Demonstrated ability to own projects from concept to deployment, balancing autonomy with collaboration. Detail-oriented and proactive, with a passion for learning emerging data tools and methods. Proficiency in Python or R for statistical modeling, data wrangling, and machine learning. Strong knowledge of SQL and experience with both relational and non-relational databases. Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn). Demonstrated ability to bridge advanced research and applied data science solutions preferred. Ability to obtain a DOD Secret clearance. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. #J-18808-Ljbffr

Intuit is hiring a Principal Data Scientist to join our Intuit AI team. Come join our collaborative and creative group of data scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role, you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life. Responsibilities Practices excellent leadership and communication skills to influence and lead teams and to evangelize data science across the organization. Leads team's work in one or more of: ML, NLP, Statistics, or Optimization, performs hands-on work in these domains. Weighs ROI considerations of general and tailored capabilities for projects in the team. Creates new capabilities that solve critical business problems. Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends. Influences business leaders to shape mission-critical projects. Creates a multi-year vision that connects product strategy with technology strategy. Drives architecture decisions, influences, and contributes to ML platform architecture and strategy. Leads team and partners to the successful delivery and integration of ML solutions. Conducts design reviews, holds teams to technical and operational rigor. Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community. Intuit provides a competitive compensation package with a strong pay-for-performance rewards approach. The expected base pay range for this position is Bay Area California $219,500 - 297,000, Southern California $212,500 - 287,500. This position will be eligible for a cash bonus, equity rewards, and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Minimum Requirements: PhD / MS in Engineering Mathematics, Statistics, Theoretical / Computational Physics, or related field. Solid knowledge of statistical techniques. 3+ years as either a lead in a data science role or in a management position in data science. Strong communication skills and proven experience as an influencer at the executive level. Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization. 6+ years of experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.). 6+ years of experience with a general-purpose programming language (e.g. Python, Scala, etc.). Strongly Preferred: PhD in Engineering Mathematics, Statistics, Theoretical / Computational Physics, or related field. Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization. Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns. Proven track record of influencing business leaders to shape mission-critical projects. Proven track record of leading teams to successful delivery of ML solutions. Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel. #J-18808-Ljbffr

A leading financial software company in California is seeking a Principal Data Scientist to shape AI strategies and drive business growth. In this mission-critical role, you will design predictive models, lead causal analyses, and mentor team members. The ideal candidate holds a Master's or PhD, has 10+ years of relevant experience, and excels in SQL, Python, and machine learning methodologies. Competitive compensation, cash bonuses, and equity rewards are offered. #J-18808-Ljbffr

T3W Business Solutions, Inc. is a Woman-Owned Small Business with Headquarters located in San Diego, CA. It is our mission to help our clients develop strategies to optimize their use of space and resources resulting in maximum benefits; we also deliver quality data and analysis to support our client's daily facility operations, planning, and compliance programs. We are looking for a Sr. Data Scientist in San Diego, California. **Contingent Upon Contract Award** Summary Builds advanced analytics, machine learning models, forecasting tools, and data products to support FRCSW strategic and operational decisions. Analyzes large structured/unstructured datasets, constructs pipelines, and develops dashboards visualizing key performance indicators. Leads data standardization, modeling, statistical analysis, and automation initiatives. Guides team members on analytic methods and ensures alignment with enterprise data strategy. Responsibilities Apply statistical modeling, machine learning, and data visualization techniques. Develop predictive models and dashboards using Power BI, Qlik, or Tableau. Analyze large structured and unstructured datasets. Collaborate with IT, program management, and financial teams to support data-driven decisions. Requirements Bachelor's degree in Data Science, Statistics, or a related field. 10+ years of professional data analytics experience. Proficiency in Python, R, SQL, and visualization tools. Must possess an active Secret Clearance - Required This contractor and subcontractor shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability.

A defense contracting company in San Diego is seeking a Mid-Level Data Scientist to support the US Navy on a key project. Responsibilities include system administration for Naval Ship Tracking, software engineering for data analysis tool development, and database management. Ideal candidates have significant Navy network experience, Python expertise, and require a DoD Secret clearance. The position offers a competitive salary range of $63,750 - $89,250 and various benefits including medical and 401(k). #J-18808-Ljbffr

A professional soccer club in San Diego is seeking a Manager of Data Innovation and Strategy. This role involves overseeing the organization's data systems and supporting strategic data analysis. The ideal candidate should have 4-6 years of experience in business intelligence or analytics, especially in the sports or entertainment sector. Strong communication and analytical skills are essential, along with proficiency in CRM platforms like Salesforce and data visualization tools. This position is based on-site in San Diego, California. #J-18808-Ljbffr

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. Experience in leading and influencing teams, with a focus on mentorship and professional development. A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. The ability to foster an inclusive environment that values diverse perspectives and empowers team members. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

The Marlin Alliance, Inc. is continuously seeking talented candidates to join our elite team of Business Transformation professionals. Qualified candidates are highly encouraged to apply to our current and prospective openings listed below. Professionals who do not match our current vacancies may apply to the " General Interest " requisition to be considered for future opportunities. The Marlin Alliance is seeking a forward-thinking Data Engineer/Data Architect in San Diego, CAto provide client support to our Navy client. This is an on-site role and applicants must have the ability to obtain a DoD Secret Clearance. Established in 2002, The Marlin Alliance is seeking to hire highly skilled individuals to support mission critical projects within the Navy. We are looking for motivated individuals to lead and support digital transformation, data science and analytics, and automation projects for variety of Navy clients. Individuals must be able to function in a fast-paced work environment and able to adapt quickly to rapidly changing requirements and technologies. Using your comprehensive knowledge of various technologies, you will design, develop, and implement solutions to support Navy mission owners in their digital transformation journey. This role is on-site in San Diego, CA Responsibilities: Define and implement a next-generation data architecture for the CDF to ensure long-term scalability. Create and manage robust and reliable data pipelines from diverse data sources (e.g., structured, semi-structured, and unstructured) aligning with data governance policies, security standards and industry best practice. Develop and implement data standards, procedures, and definitions for data governance as required aligning with higher headquarters policies when applicable. Evaluate and recommend appropriate technologies and tools. Ensure data curation processes maintain accuracy and integrity through a quality assurance process. Work closely with data analysts and data scientists to ensure data solutions are accessible and reliable. Design and implement effective data storage solutions using appropriate technologies (e.g., cloud, on-premise). Contribute to the documentation of data architecture, data pipelines, data catalog, and ETL capabilities. Required Skills and Experience: 15+ years of experience Proven experience in building and managing data pipelines, data storage, and associated infrastructure. Proficiency in SQL and at least one programing language (e.g., Python, Java, etc.) for data processing and automation. Experience in data visualization tools and techniques. Understanding of data warehousing solutions and ETL (Extract, Transform, Load) frameworks. Experience with cloud platforms (e.g., AWS, Azure) and their data services. Experience with data governance frameworks and tools, as well as data security. Excellent communication and collaboration skills with the ability to work with both technical and non-technical stakeholders. Strong problem-solving skills with a proactive approach to resolving issues. Degree in Computer Science or related field. An advanced degree is a plus. Active Secret clearance required; TS SCI clearance preferred Work Environment and Mental/Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions, absent undue hardships. Must be able to perform work in a stationary position at a minimum of 50% of the time. Must have the ability to operate computer and other office productivity machinery consistently during work hours. Must have the ability to communicate and exchange information and ideas in an in-person or virtual setting through the use of online tools and available communication mediums. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions of their job, absent undue hardship. The Employer retains the right to change or assign other duties to this position as deemed necessary Job Classification Associate III $175,000 - $200,000 Disclaimer This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities #J-18808-Ljbffr

A leading global water solutions company is seeking a Sr. Client Solutions Architect. This role involves supporting the adoption of their data analytics platform by guiding customers through technical processes and delivering tailored demonstrations. Candidates should have a Bachelor's degree in a related field along with 3+ years of experience in water/wastewater operations or related areas. The estimated salary range is $120,000 to $150,000, plus a bonus, with an attractive benefits package. #J-18808-Ljbffr

This is a full-time, hybrid position located in San Diego. This is a grant funded role through April 30, 2030. Join the Scripps Health team and work alongside passionate caregivers and provide patient-centered healthcare. Receive endless appreciation while you build a rewarding career with one of the most respected healthcare organizations nationwide. Why join Scripps Health? At Scripps Health, your ambition is empowered and your abilities are appreciated: Nearly a quarter of our employees have been with Scripps Health for over 10 years. Scripps is a Great Place to Work Certified company for 2025. Scripps Health has been consistently ranked as a top employer for women, millennials, diversity, and as an overall workplace by various national publications. Beckers Healthcare ranked Scripps Health on its 2024 list of 150 top places to work in health care. We have transitional and professional development programs to create a learning environment that enables you to thrive in your specific field as well as in your overall career. Our specialties have been nationally recognized for quality in areas such as cardiovascular care, oncology, orthopedics, geriatrics, obstetrics and gynecology, and gastroenterology. Why join this team? We are looking for a sharp, strong communicator with a high degree of emotional intelligence who can provide strategic and technical input alongside excellent customer service. The Data Scientist will focus on data analysis and statistics for federally supported research projects and grant applications. The Data Scientist will provide advanced, integrated analytics in support of organizational objectives. Source, manage, and analyze large amounts of unstructured data; synthesize and communicate results to facilitate research data analysis, data-driven decision making. Partner with internal and external constituents to understand key requirements, plan and execute projects, and produce actionable data to support strategic initiatives and drive continuous performance improvement. Design data modeling processes, create algorithms and predictive models to extract key data, and analyze the data and share insights with clinical, research, operational, and business stakeholders. Collaborate on manuscript development and dissemination of research results. The right candidate will have a passion for discovering solutions hidden in large data sets and working with customers to improve outcomes and performance. #LI-JS1 Required Education/Experience/Specialized Skills: Bachelor's degree. Experience with different healthcare data sources (medical claims, authorizations, pharmacy, provider, membership). Experience with statistical modeling and interpretations of complex data. Experience in analyzing any of the following\: Medical expenses & utilization trends, RAF Scores, Comorbidities & disease burden, Healthcare quality measures. Excellent critical and analytical thinking, customer service skills, and strong written and verbal communication skills. Experience in R, Python, or SAS programming. Intermediate knowledge of SQL, ETL, data modeling, and reporting technologies. Intermediate knowledge of Power BI or Tableau. Must have knowledge and skills necessary to explain complex concepts to team members and leadership. Ability to work both independently and collaboratively as part of a team. Preferred Education/Experience/Specialized Skills/Certification: PhD in related field (Data Science, Quantitative, Clinical, or Engineering). Experience in AI and multi-modal data analysis. Experience in predictive modeling for clinical intelligence. Experience in working with and applying for federally funded research studies. Prior experience with Epic data structures and reporting environments. Expertise in leading analytics for value-based populations. Experience in market intelligence and financial projections.

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

Data Scientist, Mid page is loaded## Data Scientist, Midlocations: San Diego, CAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: April 9, 2026 (30+ days left to apply)job requisition id: R0231891Data Scientist, Mid**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 analytical skills and data science knowledge to create real-world impact. You'll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.Work with us as we use data science for good.Join us. The world can't wait.**You Have:*** 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining* 2+ years of experience with statistical and general-purpose programming languages for data analysis* Experience analyzing structured and unstructured data sources* Experience developing predictive data models, quantitative analyses and visualization of targeted data sources* Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing* Knowledge of text mining or machine learning techniques* Ability to obtain a Secret clearance* Bachelor's degree**Nice If You Have:*** 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL* 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL* 2+ years of experience with Machine Learning, AI or NLP* Experience with visualization packages, including Plotly, Seaborn, or ggplot2* Experience with Business Intelligence (BI) or data visualization tools, such as Power BI, Tableau, or Qlik* TS/SCI clearance with a polygraph* Bachelor's degree in Computer Science, Data Science, Computer Engineering, Systems Engineering, or a related field preferred; Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Business Analytics, Computer Engineering, or Systems Engineering, or a related field a plus**Clearance:** Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.**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.**About Booz Allen Hamilton**Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed-accelerating the nation to realize our purpose: Empower People to Change the World. **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.**Accommodations**If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling ************** or sending an email to ****************. **This option is reserved only for individuals who are requesting a reasonable workplace accommodation.** It is not intended for other purposes or inquiries. **Data Privacy** For more information on how Booz Allen uses your information, please see our . #J-18808-Ljbffr

Join the Intuit Customer Success team as a Principal Data Scientist within our Expert Network. In this role, you will help shape the AI strategy for our product support and live experiences. You'll be central to optimizing our greatest resource, our people, through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions. This is a mission-critical role requiring a strategic thought partner who brings cutting‑edge data science techniques and deep domain expertise to influence our Customer Success strategy and drive business growth at scale. You will partner directly with cross‑functional leaders-across Product Management, Engineering, Data, Customer Success, and Service Delivery-to architect the analytical frameworks and modeling solutions that shape our Expert Network and our AI Driven platform. This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision. Responsibilities Advanced Predictive Modeling & Machine Learning: Design, build, and deploy scalable models-including ensemble methods, time‑series forecasting, LTV modeling, deep learning architectures, and uplift modeling-to uncover high‑impact growth opportunities and drive personalization. Experimentation Science & Design: Own the end‑to‑end experimentation pipeline-from hypothesis generation and design (e.g., CUPED, multi‑armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification. Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact Attribution: Define and evolve success metrics using state‑of‑the‑art measurement frameworks, ensuring that business KPIs are both predictive and causally informative. Communication: Deliver compelling, data‑driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact. ML Engineering & Native AI: Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience. Thought Leadership & Mentorship: Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor. Strategic Influence: Demonstrate extreme ownership across cross‑functional initiatives, influencing product vision and delivering measurable impact through analytics innovation. Qualifications Master's or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. 10+ years of progressive experience in applied data science roles with increasing scope and complexity. Proven experience applying state‑of‑the‑art machine learning and causal inference methodologies in high‑impact, product‑facing applications. Expert‑level proficiency in SQL as well as Python or R. Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI‑assisted UX. Deep understanding of Generative AI and other evolving technologies. Application of GenAI at scale in a production environment. Deep knowledge of experimental design, including non‑standard A/B testing methods, uplift modeling, and sequential testing frameworks. Hands‑on experience with data visualization tools like Tableau or Qlik. Strong communication and storytelling abilities-adept at translating sophisticated analytics into strategic guidance. Proven leadership in mentoring technical talent and driving cross‑team alignment through data science innovation. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Southern California: $231,000-312,500 #J-18808-Ljbffr

THOR Solutions is actively seeking a Mid-Level Data Scientist to support the US Navy Ship Anti-Submarine Warfare (ASW) Readiness and Effectiveness Measuring (SHAREM) at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA. This position is associated with an upcoming contract that THOR is pursuing, with an estimated award/work start late 2025. We are conducting preliminary, “contingent” hiring for roles associated with this contract. The work start is dependent upon THOR being awarded this contract. Typical Responsibilities: System administration for Naval Ship Tracking, Reporting and Analysis Tool (NSTRAT) System, to monitor the application and/or services and troubleshoot issues affecting availability Software Engineering and testing to develop data analysis tools and event reconstruction Performs database entry, management, and monitors automated back-up Performs database query analysis Location: Onsite at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA. Travel Requirements: Up to 10% travel is anticipated. Typical Physical Activity: Primarily desk/computer work in an office environment. Periodic visits to waterfront/shipboard environments. May involve: repetitive motion, traversing shipboard environments (e.g., confined spaces, ladders, hatches), speaking or vision. Typical Pay Range: The anticipated pay range for this position in the identified location(s) is $63,750 - $89,250/year. Actual compensation offered will be based upon individual factors including education, qualifications, and experience. Existing Security Clearance Required: This position requires a DoD Secret security clearance. A qualified candidate must already possess an active or interim security clearance. A candidate with especially strong, relevant experience but no active security clearance may still be considered, but work start would be dependent upon a new Secret clearance being awarded. Typical Knowledge, Skills, and Abilities: High School diploma, GED, or equivalent Five (5) years of Navy experience managing Navy computer networks Three (3) years of experience using Python and other programming tools to script data analysis products Hold and maintain certifications and/or training to maintain FLANKSPEED IL6 AZURE Privileged Access to include: Scripting language such as Python with SQL server relational database Security+ certification AZURE Administrator Associate AZ-104 Proficient with common productivity software, including the Microsoft Office suite. Excellent communication skills. Benefit Offerings: Along with competitive pay, THOR offers a comprehensive benefits package including: Paid Time Off (accrued) Paid Holidays 401(k) with employer match and traditional/Roth options Medical Insurance (3 plan options) + TRICARE Supplemental Coverage Dental Insurance (2 plan options) Vision Insurance Plan Healthcare and Dependent Care Flexible Spending Accounts Commuter/Transit Benefits Basic Life/AD&D, Short-Term and Long-Term Disability Insurance Supplemental Life Insurance Pet Benefits Legal Resources ID Theft Benefits Employee Assistant Plan and Work-Life Program Voluntary Leave Transfer Program Tuition Reimbursement Program Employee Referral Program Please be aware that many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. THOR is proud to be an Equal Opportunity Employer, including veterans and individuals with disabilities. THOR considers all qualified applicants for employment without regard to legally protected characteristics. This policy applies to all terms and conditions of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us at *************************** or **************. #J-18808-Ljbffr

A global consulting firm is seeking a Senior Manager in Data Architecture for the Power & Utilities sector. The role demands expertise in data architecture and a strong consulting background. Responsibilities include leading technology projects, managing teams, and fostering client relationships. Ideal candidates will have deep knowledge of data solutions, project management skills, and a Bachelor's in a STEM field. This position offers a competitive salary range and flexible working conditions. #J-18808-Ljbffr

Job Description 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

Do you have a passion for using data to drive business strategies and optimize performance? Do you want a role that exposes you to bleeding‑edge technologies? Intuit's Consumer Group has an exciting opportunity for a best-in‑class, data‑driven leader in the TurboTax Product Analytics organization. As a Staff Data Scientist in the Full Service Data Science team, you will be in a highly influential position to inform product strategy and drive maximum business results. Responsibilities Perform hands‑on data analysis and modeling to derive meaningful conclusions and solve complex problems. Extract insights and knowledge from structured and unstructured data using various techniques, including statistical analysis, machine learning, and data visualization in service to driving business decisions. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of product experiences, and communicate results to peers and leaders to measure and optimize execution of data‑driven strategies in emerging areas of the TurboTax Full Service roadmap. Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques, etc., to establish causality and measure product performance. Manage data integration and engineering with the Product platform for data hygiene. Provide guidance and support to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals in the standardization of reporting and strategy. Drive strategic thinking and cross‑functional alignment around data‑driven approaches to optimizing the TurboTax Full Service conversion funnel. Draft whitepapers to summarize complex Analytics concepts with clearly outlined principles and data‑backed research. Influence the team's roadmap by sharing findings with the rest of the company and driving and verifying change in our marketing channel spend. Mentor junior analysts to raise the bar across the Analytics organization. Qualifications 7-10 years of experience working in web, product, marketing, or other related analytics fields, ideally with exposure to ... Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations. Proven ability to apply scientific methods to solve real‑world problems on web‑scale data. Strong business and product sense: delight in shaping vague questions into well‑defined analyses and success metrics that drive business decisions. Advanced proficiency in SQL, Tableau, and Excel, with expertise in modern advanced analytical tools and programming languages such as Python. Experience in defining metrics and instrumenting data tracking in clickstream. Excellent problem‑solving skills and end‑to‑end quantitative thinking. Ability to manage multiple projects simultaneously to meet objectives and key deadlines. A great storyteller and communicator who can build relationships with a diverse set of stakeholders, including both technical and non‑technical colleagues. MS in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent work experience is preferred. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: #J-18808-Ljbffr