Post job

Data science internship jobs in National City, CA - 236 jobs

All
Data Science Internship
Data Scientist
Data Analyst
Business Analyst Internship
Data Analyst Internship
Junior Data Analyst
  • Medicare Stars Data Intelligence Data Scientist

    Califesciences

    Data science internship job in San Diego, CA

    At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. Position Summary Aetna, a CVS Health company, is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care. Aetna's Medicare Stars Team is growing and expanding! This is an exciting opportunity to join a high performing, collaborative team as a Data Scientist. This individual will focus on leveraging the Stars Data Ecosystem for Business Analytics for improved understanding of business patterns, predict future trends, and implement effective solutions to various challenges. The role will manage successful delivery of scalable analytics solutions on Snowflake that combine structured and unstructured data, enable agentic document analytics at scale, and expose insights via natural language queries powered by LLMs (including OpenAI). Own end-to-end implementation: ingestion, unified data modeling, vectorization/embeddings, retrieval pipelines, Snowflake compute (Snowpark), and integration with LLM-driven applications. This role will utilize expertise in statistical analysis, machine learning, and data visualization to analyze complex data sets, then derive actionable insights that inform business strategies and decisions. Key Responsibilities Design and implement unified data pipelines in Snowflake that combine structured tables, semi-structured data (JSON/Parquet), and large collections of documents (PDF, DOCX, text). Build agentic document analytics workflows: large-scale document ingestion, text extraction, cleaning, chunking, embeddings, vector stores, and efficient retrieval for analytic queries. Implement Natural Language Query (NLQ) interfaces that translate user text prompts into analytic queries or retrieval flows and return explainable results. Integrate Snowflake with LLMs (OpenAI or equivalent) for tasks such as summarization, question-answering, classification, and code-generation using External Functions, Snowpark, and/or secure API patterns. Create performant retrieval-augmented generation (RAG) architectures that leverage Snowflake-stored embeddings and external or internal vector indexes as appropriate. Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near-real-time and batch analytical workloads. Implement data modeling and governance patterns within Snowflake: schemas, role-based access control, masking, lineage, and metadata to support analytics and compliance. Partner with product, ML/AI, BI, and engineering teams to translate business requirements into robust production-ready solutions. Build monitoring, observability, and cost controls for compute, storage, and API usage related to document analytics and LLM integration. Produce technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations to non-technical stakeholders. Required Qualifications Technical Skills Statistical Analysis: Proficiency in statistical methods and software such as R, SAS, and Python. Data Visualization: Ability to create compelling visualizations using Tableau, Power BI, and D3.js. Database Management: Knowledge of SQL and NoSQL databases for efficient data storage and retrieval. Programming: Strong programming skills, particularly in Python, Java, and C++. Experience with Snowflake: Designing and implementing unified data pipelines and data modeling within Snowflake. Document Analytics: Building agentic document analytics workflows with embeddings and retrieval. Natural Language Query (NLQ): Implementing NLQ interfaces for analytic queries and retrieval flows. LLM Integration: Integrating Snowflake with LLMs via External Functions, Snowpark, or secure API patterns. Retrieval-Augmented Generation (RAG): Creating RAG architectures leveraging Snowflake embeddings and vector indexes. Snowpark Development: Authoring Snowpark, Python, and SQL transformations, Streams & Tasks, and job orchestration. Governance and Security: Implementing schemas, role-based access control, masking, lineage, and metadata within Snowflake. Collaboration: Partnering with product, ML/AI, BI, and engineering teams to deliver production-ready solutions. Monitoring and Cost Controls: Building observability and cost controls for compute, storage, and API usage. Documentation: Producing technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations. Analytical Skills Critical Thinking: Ability to think critically and approach problems from multiple perspectives. Quantitative Analysis: Strong quantitative skills to interpret and manipulate data effectively. Attention to Detail: Meticulous attention to detail to ensure accuracy in data analysis and model development. Interpersonal Skills Communication: Excellent verbal and written communication skills to convey complex findings to non-technical stakeholders. Team Collaboration: Ability to work collaboratively with diverse teams to achieve common goals. Leadership: Capability to lead projects and mentor junior team members. Preferred Qualifications Experience: Relevant experience in data analysis, machine learning, and business intelligence. Certifications: Professional certifications in data science, machine learning, or business analytics can be beneficial. Education A bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Engineering. Advanced degrees (Master's or Ph.D.) are highly desirable. Anticipated Weekly Hours 40 Pay Range The typical pay range for this role is: $64,890.00 - $222,480.00. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We anticipate the application window for this opening will close on: 01/24/2026. #J-18808-Ljbffr
    $64.9k-222.5k yearly 2d ago
  • Job icon imageJob icon image 2

    Looking for a job?

    Let Zippia find it for you.

  • Data Scientist, Flexible Work Locations

    Columbia Group 4.2company rating

    Data science internship job in San Diego, CA

    The Columbia Group (TCG), is a technical services support company which has a successful 50+ year history of providing the United States government with financial management support services, information technology, program management, acquisition, logistics management, engineering, and design. As a full-time employee of TCG, you will receive a comprehensive benefits package to include a quality health insurance program (medical, drug, vision and dental) for you and your family, group life insurance, group short and long-term disability insurance, a 401K profit sharing retirement plan, and professional development opportunities. You will accrue 'Paid Time Off' (PTO) to be used towards vacation or sick leave, in addition to receiving eleven (11) paid federal holidays. We are seeking Junior to Senior Level Data Scientists to join our team in locations such as: Washington, DC Metropolitan and San Diego, CA. Upon award, the ideal candidate will: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. They may also perform the following duties: Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Create dynamic data reports. Position RequirementsRequired Education Junior - Associate's Degree in Math, Science, Engineering or related field; The Government will accept minimum 5 years of professional experience related to the labor category in lieu of degree requirement. Mid - Bachelor's Degree in Math, Science, Engineering or related field; The Government will accept minimum 10 years of professional experience related to the labor category in lieu of degree requirement. Senior - Bachelor's Degree in Math, Science, Engineering or related field. Required Experience and Skill 1-10 years of related professional experience based on career level showing proficient, competent and developing & emerging skills while performing complex tasks independently and completes assigned tasks on time and to a standard that is satisfactory or better. Senior level positions will provide guidance and oversight to contractors at the junior and mid experience levels. Experience with MS Word, MS Excel, ERP, PBIS, NEPS, and EDW accounting systems. US Citizenship Required. Active DoD Secret Clearance Required. Preferred Education and Experience Level Junior - Bachelor's Degree in Math, Science, Engineering or related field. Mid - Master's Degree in Math, Science, Engineering or related field. Senior - Master's Degree in Math, Science, Engineering or related field. 4-12 years of related professional experience based on career level. Full-Time/Part-Time Contingent Position Data Scientist Division The Columbia Group Req Number LOG-25-00002 Location Multiple Locations - See Job Posting for Details About the Organization We are a premier federal services company with a successful history of providing the United States Military, Department of Homeland Security, Federal Aviation Administration, and other departments / agencies of the federal government. We employ hundreds of professionals, providing client-focused solutions, across all armed forces, in multiple locations throughout the United States. EOE Statement We are an Equal Opportunity / Affiantive Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected Veteran status. This position is currently accepting applications. #J-18808-Ljbffr
    $91k-122k yearly est. 5d ago
  • Data Scientist II

    Intrinsic First

    Data science internship job in San Diego, CA

    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
    $92k-133k yearly est. 5d ago
  • Principal Data Scientist

    I Did My Part and Supported The Regular Toilet

    Data science internship job in San Diego, CA

    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
    $92k-133k yearly est. 2d ago
  • Staff Data Scientist: Product Analytics & Experiments Lead

    Intuit Inc. 4.8company rating

    Data science internship job in San Diego, CA

    A leading financial software company seeks a Staff Data Scientist in San Diego to drive product strategy through data analysis and modeling. You will perform A/B testing, mentor junior analysts, and utilize advanced analytical tools to influence business decisions. Ideal candidates have 7-10 years in analytics, strong SQL and Python skills, and a master's degree in a relevant field. The position offers a competitive compensation package, including cash bonuses and equity rewards. #J-18808-Ljbffr
    $103k-138k yearly est. 5d ago
  • Data Scientist (Navy/DoD)

    Thor Solutions, LLC 3.9company rating

    Data science internship job in San Diego, CA

    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
    $63.8k-89.3k yearly 5d ago
  • Data Analyst

    Indotronix Avani Group 4.2company rating

    Data science internship job in Chula Vista, CA

    Title: Data Analyst Full Time role Salary: $80K annually What You will Do: Data Analyst to update/edit/develop A320 Neo EBU Coverage Tracker. Develop teams automated tracker for part allocation prior to MSN delivery. Using Spreadsheets, PowerBI and creating new tools to track shortages from our supplier as well further data analytics for our operating. Improve and develop visuals in PowerBI. Create/Maintain A320 Neo EBU Coverage Report for both internal and external focals. Additionally, duties include data cleanup for error free data sources. Constant monitoring of reporting tools is required to ensure data is accurate. All sourced data must be reviewed prior to determined refresh cycle in PowerBI. Job function include continuous improvement tools, developing work instructions / standard work, and following all regulatory company procedures. Attend daily / weekly schedule / status meetings, or more frequently as deemed appropriate. Treat all documentation as customer proprietary & comply with applicable customer procedures. Revisions to the work scope may be made. Additional engineering support task may be added to the work scope according to business needs at the discretion and approval of the PO owner. Ability to work with others, train up-and-coming engineers, and review their work. Realize opportunities for continuous improvement and find ways to implement solutions. Other administrative and supportive duties as needed. What You Will Bring: This position requires an B.S. degree in the appropriate discipline and 3 years of relevant experience. In the absence of a degree, 5 years of relevant experience is required. Hands-on experience building and publishing customized and interactive dashboards within PowerBI. Microsoft Office 365 is a required skill. Majority of programs utilized include, Excel, Microsoft Teams, and PowerBI. Intermediate level of MS Excel skills, including advanced formulas and data tables. Power Query and SQL logic are required for PowerBI reports. Understanding of basic visuals in PowerBI are needed, as well as ability to create intermediate calculated columns/new measures. Basic understanding of Microsoft Teams is needed for communication efforts with team and to edit source data for all reporting tools. In depth understanding of data collection, data flow management, data manipulation, data archiving and data standards Passionate about solving problems with data and high level of intellectual curiosity. Highly motivated to work on multiple projects in parallel and team player with a startup spirit. Very strong written and oral communication skills, with proven ability to translate complex analysis into actionable insights to a non-technical audience.
    $80k yearly 1d ago
  • Master Data Management Analyst - Portfolio Analytics & Reporting

    Stepstone Group 3.4company rating

    Data science internship job in San Diego, CA

    We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world's investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed. Position Overview: The Data Analyst will be a member of the Data Engineering team within StepStone's Portfolio Analytics and Reporting (“SPAR”) department. This person will partner with various internal teams and support efforts to define, enforce, and maintain a unified Master Data Management (MDM) process and strategy within a cloud data warehouse environment. This person will implement data quality checks and support creating unified “golden records” from disparate internal and external data sources. The role sits at the intersection of data engineering, data modeling, and private investment domain knowledge, providing exposure to both technical and business processes. Essential Job Functions: Support MDM initiatives in defining, modelling, and maintaining master data entities. Gather, reconcile, clean, standardize, deduplicate, and merge data from internal systems and external databases to create trusted “golden records.” Build records matching/merging logic and rules for mastering data (deterministic, fuzzy matching, conflict resolution). Collaborate with stakeholders to understand domain definitions, business rules, data lineage, and exceptions. Implement data quality checks, validations, and anomaly detection to ensure accuracy and consistency of master data. Create and maintain documentation, definitions, governance rules, and metadata for master data assets. Assist in establishing governance, stewardship, and versioning processes. Integrate master data processes with broader extract, load and transform (ELT) workflows and Snowflake data models. Contribute to automation of mastering data processes. Support other data initiatives such as data engineering, data modeling, and ad-hoc analysis. Qualifications: Bachelor's degree in Computer Science, Information Systems, Economics, Finance, or related quantitative or qualitative field. 1-3 years of experience or relevant coursework in data analysis, data engineering, or MDM-related roles. Strong SQL skills for data profiling, transformation, and reconciliation in Snowflake. Understanding of data mastering, data modeling, ETL/ELT processes, and data integration concepts. Interest in private markets or financial data. Analytical mindset with attention to detail and the ability to manage complex, evolving data. Strong communication skills to collaborate with technical teams and business stakeholders. Other Knowledge, Skills and Abilities: Prior experience in MDM, data governance, or data stewardship is a plus. Experience designing matching/merging logic, fuzzy joins, or reconciliation workflows. Knowledge of Snowflake data governance features (Data Quality Monitoring, Data Security, Data Classification). Experience with commercial MDM platforms or governance tools. Familiarity with metadata management, version control, and data catalog tools. Exposure to financial or investment data domains. Familiarity with Python or similar scripting for automation is a plus. Salary Range: $72,000 - $76,500 The salary range is an estimate of pay for this position. Actual pay may vary depending on job-related factors that can include location, education, skill, and experience. The salary range does not include any benefits or other forms of possible compensation that may be available to employees. #LI-Hybrid At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all. As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law. Candidates must be at least 18 years old to apply. Developing People at StepStone
    $72k-76.5k yearly Auto-Apply 50d ago
  • Data Scientist IV

    General Atomics 4.7company rating

    Data science internship job in Poway, CA

    **52636BR** **Company:** General Atomics Aeronautical Systems General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Scientist/Engineer to join our Applied Sciences and Technologies (ASTech) team within the Agile Mission Systems (AMS) division here in San Diego. Do you enjoy solving difficult technical problems? Do you have strong mathematical, modeling and/or design skills and wish to apply them towards building real-world solutions with tangible impacts? Do you enjoy a fast-paced environment that will provide you with a diverse set of projects and people to work with? If any of these describe you, then you might be a prime candidate to join the ASTech team here at AMS! We are looking for a scientist/engineer who enjoys developing new technologies and techniques that solve critical problems, with the ability to assist in rapid prototyping for proof-of-concept demonstrations. In this role, you will support the development of novel sensing capabilities leveraging a wide range of technologies; RF, AI/ML, EO/IR, DSP, EW, etc. The successful candidate will report to and work closely with the Manager of the RF & Signal Processing team. **DUTIES & RESPONSIBILITIES:** + Initiate and develop highly innovative solutions to advanced technical problems + Perform assessments of candidate state-of-the-art signal processing algorithms + Develop sensing capabilities leveraging a wide range of technologies; RF, AI/ML, EO/IR, DSP, EW, etc. + Develop and assess novel communications solutions, including waveforms, networking, and electronics + Modeling link-budgets to help define system requirements and performance + Implement Space-time adaptive processing (STAP) techniques + Perform analysis of candidate designs to determine the impact to subsystem and system performance + Provide expert guidance and consulting to other staff members + Assist in the concept generation for, and authorship of, white papers and proposals + Support supplier and subcontractor evaluations + Provide technical management of subcontracts when required + Represent the Company as a technical contact to customers and suppliers + Performs other duties as assigned or required We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. **Job ID#:** 52636BR **Job Category:** Scientists **Travel Percentage Required:** 0% - 25% **Full-Time/Part-Time:** Full-Time Salary **State:** California **Clearance Level:** Secret **Pay Range Low:** 116,480 **City:** Poway **Clearance Required?:** Desired **Pay Range High:** 208,505 **Recruitment Posting Title:** RF and Signal Processing Scientist **Job Qualifications:** + Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; nine or more years of experience with a bachelor's degree, seven or more years of experience with a master's degree, or four or more years with a PhD. May substitute equivalent experience in lieu of education. + Proficiency in one of the following languages is required, and familiarity with more than one is desired: MATLAB, Python, C++ Must be a team player with excellent communications skills both verbally and in technical writing. + Must be able to prepare and conduct detailed technical presentations and reviews. + Must be customer focused, formulates plans based on the development of innovative new designs in resolving advanced technical problems. + Must be able to work on a self-initiated basis and in a team environment. + Limited travel and extended work schedules may be required. + Ability to obtain and maintain a DoD security clearance is required. **US Citizenship Required?:** Yes **Experience Level:** Senior (8+ years) **Relocation Assistance Provided?:** No **Workstyle:** Onsite General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. In accordance with applicable federal law, General Atomics takes affirmative action to employ and advance the employment of qualified protected veterans and individuals with disabilities. We also prohibit compensation discrimination under all applicable laws. U.S. Citizenship is required for certain positions. To learn more, please review the EEOC's "Know Your Rights: Workplace Discrimination is Illegal" poster.
    $98k-137k yearly est. 15d ago
  • Machine Learning u0026 Data Scientist, OS Power u0026 Performance

    Apple Inc. 4.8company rating

    Data science internship job in San Diego, CA

    Great performance is critical to Apple's product experience. We are seeking a Machine Learning u0026 Data Scientist to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users. If the idea of developing data products to improve Apple's software u0026 hardware performance excites you, we encourage you to apply! We're looking for a proactive u0026 impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. In this role, you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics, models, simulations, and tools for analysis u0026 communication of insights from large datasets. To be successful, you must have a strong foundation in statistical analysis and the ability to apply it to solving business u0026 product-development problems, as well as a strong software engineering background with the ability to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products. M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition Proficiency in distributed compute u0026 storage technologies such as HDFS, S3, Iceberg, Spark, and Trino Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow) Working knowledge of Operating Systems Experience driving cross-functional projects with diverse sets of stakeholders Skilled at connecting data insights to the company's overall strategy and objectives. Strong Quantitative Foundation: Education in Computer Science, Electrical Engineering, or a related quantitative field. Strong mathematical foundations, software engineering, and broad knowledge of data analysis and practical machine learning are expected. Data Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python u0026 Spark) and data visualizations (e.g. Tableau) Business Acumen and Problem-Solving: Ability to understand the broader business context, solve complex problems, and communicate findings effectively to stakeholders. Adaptability and Collaboration: Comfortable with ambiguity, eager to learn, and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential.
    $138k-180k yearly est. 60d+ ago
  • Internship - Data Visualization and Analytics Intern

    ASML 4.8company rating

    Data science internship job in San Diego, CA

    Introduction The US Chief Data Office (CDO) provides business domains with data, analytics, and essential services to support advanced business analytics capabilities. The primary objective of this role is to develop and maintain ASML's enterprise and business process data foundation within the SAP Hana and data visualization platform (Spotfire), thereby enabling trusted data access for ASML US teams. This position requires effective engagement with business clients and the implementation or enhancement of data integration flows utilizing SAP HANA, SQL, and Tibco Spotfire. Your assignment Contribute to the development and improvement of data integration objects in SAP Hana containers. Design and maintain logical and physical data models in SAP HANA for analytical processing. Assist in ETL processes to extract, transform, and load data from multiple sources into HANA. Build interactive dashboards and visualizations in Spotfire to deliver actionable insights. Participate in all phases of project life cycle starting from requirement gathering to testing to move to prod. Communicate the results both verbally and written. Assist in the documentation of data processes and best practices Actively participate in relevant Scrum and SAFe rituals and take part in continuous journey toward a more agile organization. Interns will typically be required to document and present their findings as well as making an end of summer presentation to the group about what they achieved during their internship. Your profile Graduate student majoring in Computer Science, Data Analytics or Information Systems with a GPA of 3.0 or above. Must be currently in school. Knowledge of database management systems and data visualization tools. Curiosity about data and a passion for finding answers hidden in data sets. Familiarity with Spotfire, Tableau or similar BI tools for visualization. Familiar with data impact analysis, software development practices, and data architecture concepts Experience with Data Analytics, Data Modeling, Data Management techniques and tools Strong attention to detail and troubleshooting skills. Excellent communication and collaboration skills. Eagerness to learn and adapt to new technologies Skills & Competencies Hands on experience with database management systems such as SQL Basic knowledge of SAP HANA architecture, data modeling, and SQL. Proficiency in Python or R for data analysis is a plus Strong analytical and problem-solving skills Excellent communication and teamwork skills Self-motivated and eager to learn about data integration and virtualization technologies Ability to complete assignments with attention to detail and high degree of accuracy Work independently or as part of a team and follow through on assignments with minimal supervision A proactive attitude towards problem-solving and continuous improvement Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.
    $53k-81k yearly est. Auto-Apply 42d ago
  • Data Analyst

    Us01

    Data science internship job in San Diego, CA

    Introduction to the job We are seeking a Data Analyst who can bridge the gap between business needs and data-driven solutions. This role requires a strong analytical mindset, excellent communication skills, and proficiency in creating dashboards and generating actionable insights. The ideal candidate will collaborate closely with business stakeholders to understand requirements, develop intuitive visualizations, and deliver insights that drive strategic decisions. Role and responsibilities Business Engagement & Requirements Gathering Partner with business teams to understand objectives, KPIs, and reporting needs. Translate business requirements into technical specifications for data models and dashboards. Act as a liaison between technical teams and business stakeholders to ensure alignment. Dashboard Development & Data Visualization Design, build, and maintain interactive dashboards using tools such as Spotfire, Power BI Ensure dashboards are user-friendly, visually appealing, and optimized for performance. Implement data governance and quality checks to maintain accuracy and reliability. Insight Generation & Analytics Analyze large datasets to identify trends, patterns, and anomalies. Provide actionable insights and recommendations to support business decisions. Develop ad-hoc reports and perform deep-dive analyses for strategic initiatives. Data Management & Process Improvement Collaborate with data engineering teams to ensure data availability and integrity. Continuously improve reporting processes and automate repetitive tasks. Stay updated on industry best practices and emerging analytics technologies. Education and experience Bachelor's degree in Data Science, Business Analytics, Statistics, or related field. 3-5 years of experience in data analysis, business intelligence, or related roles. Proficiency in SQL and data manipulation. Proven track record of developing dashboards and delivering insights to business stakeholders. Skills Working at the cutting edge of tech, you'll always have new challenges and new problems to solve - and working together is the only way to do that. You won't work in a silo. Instead, you'll be part of a creative, dynamic work environment where you'll collaborate with supportive colleagues. There is always space for creative and unique points of view. You'll have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you'll need the following skills: Technical Skills: Experience with BI tools (Power BI, Tableau, Qlik). Strong knowledge of Excel and data visualization principles. Soft Skills: Excellent communication and presentation skills. Ability to translate complex data into clear, actionable insights. Strong problem-solving and critical-thinking abilities. Other information This position is located on-site in San Diego, CA. It requires onsite presence to attend in-person work-related events, trainings and meetings and to further ensure teamwork, collaboration and innovation. A flexible workplace arrangement may be available to employees working in roles conducive to remote work (up to two days a week). The current base annual salary range for this role is currently: $94,125-156,875 Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US. All new ASML jobs have a minimum application deadline of 10 days. This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.
    $94.1k-156.9k yearly Auto-Apply 22d ago
  • Data Scientist

    Insurance Company of The West

    Data science internship job in San Diego, CA

    Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible. Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here! PURPOSE OF THE JOB The Data Scientist will build high performing machine learning models across the enterprise. As a key member of the rapidly growing Enterprise Analytics team, this role has the opportunity to develop and deploy impactful generative AI / LLM / ML solutions that drive revenue growth, reduce expenses, and enhance customer experience. This role will perform analyses of internal and external data sources in support of key business functions and develop predictive, descriptive modeling and identify areas of improvement for ICW business units. The Data Scientist will collaborate closely with business partners in Underwriting, Claims, Finance, Actuarial, HR, Law and Technology to help us realize the value in our extensive data resources. ESSENTIAL DUTIES AND RESPONSIBILITIES Build and deploy high performing AI/ML solutions. Utilize LLM models to improve organization efficiency, and tune models as needed. Perform prompt engineering. Develop innovative AI and ML solutions and implement scalable feature engineering. Create POC, MVP, as well as full-featured applications Research and recommend emerging AI and ML approaches and present research results to stakeholders. Partner effectively with data engineering and MLOps teams to ensure internal and external data pipelines support sophisticated data models and proper monitoring and alerting is in place. Collaborate with machine learning engineers as they harden models and move them from the lab into production. Identify and measure levers that impact essential metrics; communicate steps to business stakeholders. Keep up to date with latest research in the field and contribute to maintaining and growing an active data science community at ICW Group. Drive insights and improve workflows and business processes throughout the organization. Specify and develop advanced AI techniques to discover patterns, insights, and trends in ICW data. Drive and strategize with other scientists and internal business units to ensure effective execution of data-driven initiatives. Work closely with IT Security and Data Governance to ensure that analytics practices meet data security, privacy, and quality policies. Collect, aggregate, and analyze data from multiple internal and external sources for use in the most advanced analytics. Contribute to development of AI and ML internal policies and help ensure Enterprise Analytics team is compliant with applicable regulations. Write code to help build and maintain data pipelines for production models. Develop the highest quality, replicable predictive and descriptive analytics for business use. Actively evaluate (tracks and validates) existing models to ensure optimal data-driven decisions and make changes as needed. Develop a strong understanding of the business issues and data challenges of the organization in order to drive meaningful insights. Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. Analyze current business processes; make recommendations to management for new, more efficient, workflows, and processes. EDUCATION AND EXPERIENCE Bachelor's degree required with a major in Statistics, Cognitive Science, Mathematics, Physics, Computer Science, Electrical Engineering, Psychology, Neuroscience or related field and a minimum of 4 years of industry experience in data science roles; OR Master's Degree and a minimum of 2 years of industry experience in data science roles; OR PhD in a related field with research involving AI/ML. Ph.D. preferred. KNOWLEDGE AND SKILLS Strong interest in and familiarity with LLMs / generative AI. Experience with LLM tuning and distillation. Knowledge and experience with statistical and machine learning algorithms, forecasting, recommender systems, reinforcement learning, deep learning, and optimization. Cloud computing experience using several AWS tools and services. Strong knowledge and experience with Python and SQL. Containers and agile methodology. Experience with PyTorch and MLflow. Knowledge of databases and database methodology, especially Snowflake. Experience with model deployment. Knowledge in one or more of the following areas: Casual Inference, Anomaly Detection and/or modern Natural Language Processing techniques. PHYSICAL REQUIREMENTS Office environment - no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear. WORK ENVIRONMENT This position operates in an office environment and requires the frequent use of a computer, telephone, copier, and other standard office equipment. We are currently not offering employment sponsorship for this opportunity. #LI-TP1 #LI-HYBRID The current range for this position is $121,624.81 - $217,710.99 This range is exclusive of fringe benefits and potential bonuses. If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work. WHY JOIN ICW GROUP? • Challenging work and the ability to make a difference • You will have a voice and feel a sense of belonging • We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match • Bonus potential for all positions • Paid Time Off with an accrual rate of 5.23 hours per pay period (equal to 17 days per year) • 11 paid holidays throughout the calendar year • Want to continue learning? We'll support you 100% ICW Group is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. ICW Group will not discriminate against an applicant or employee on the basis of race, color, religion, national origin, ancestry, sex/gender, age, physical or mental disability, military or veteran status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other characteristic protected by applicable federal, state or local law. ___________________ Job Category Actuarial
    $121.6k-217.7k yearly Auto-Apply 21d ago
  • ServiceNow Security Organization (SSO) - Data Informatics Analyst Intern

    Servicenow 4.7company rating

    Data science internship job in San Diego, CA

    It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description The ServiceNow Security Organization delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact. Job Responsibilities: The Data Informatics Analytics Intern will be responsible for conducting ad-hoc analyses, dashboard creation, and predictive analytics for the security organization at ServiceNow. This individual must possess high business acumen as well as a strong understanding of data and analytics to drive impactful business decisions. Responsibilities include but are not limited to: Conduct ad-hoc analyses based on shifting business needs using SQL, Python, R, and/or Excel Regularly present to organization leaders on the insights they uncover Create reporting capabilities using PowerBI Take a proactive approach to analytics to suggest the next best steps based on initial insights Pull/combine various (sometimes disparate) datasets together accurately and efficiently - Provide compelling data visualizations that drive business leaders towards data-driven decisions Qualifications Current enrollment in a full-time Master's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later Excellent Power BI experience and skills Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 1-2 years of analytics, data, engineering, and/or data science experience Strong understanding of relational databases Snowflake experience is a plus Intermediate to Advanced SQL knowledge is a must Python proficiency is preferred Proactive attitude and approach to work Ability to effectively prioritize deliverables with high quality and on-time delivery Excellent verbal and written communications skills, and problem solving, presentation abilities, and strong business acumen For positions in this location, we offer a base pay of $43.04/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
    $43 hourly 60d+ ago
  • Construction Management Data Analyst

    DPR Construction 4.8company rating

    Data science internship job in San Diego, CA

    DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************
    $130.4k-223.6k yearly Auto-Apply 30d ago
  • Clinical Data Management

    Veracyte 4.6company rating

    Data science internship job in San Diego, CA

    At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins We Care Deeply: We embrace our differences, do the right thing, and encourage each other Position Overview: The Clinical Data Manager is responsible for participating all aspects of Clinical Data Management Operations at Veracyte, ensuring data integrity and quality for clinical studies. This is a hands-on role that requires technical expertise in the complete data management lifecycle. This is a remote role, with a strong preference for someone in San Diego, CA or San Francisco, CA Key Responsibilities: • Support end-to-end clinical data management operations, from protocol design to database closure • Support the implementation of comprehensive data management plans, validation specifications, and quality control procedures • Participate in the design and validation of eCRF systems and edit checks aligned with protocol requirements • Support database development, validation programming, and query management • Collaborate with Clinical Affairs, Data Analysis, and IT teams to establish data collection methods and quality standards • Generate key metrics reports and data analytics for clinical studies. Who You Are: Bachelor's degree in Computer Science, Life Sciences, or related field 4+ years hands-on experience in IVD, Medical Device, or Pharmaceutical clinical data management Knowledge of GCP and GCDMP and proficiency in the following: Programming languages (R, SAS) Database management (SQL, PL/SQL) EDC systems and clinical data management platforms (e.g. Medidata, Medrio) CTMS and eTMF platforms with strong preference for experience with Veeva Vault Sample management platforms (e.g. LabVantage) Microsoft Office Suite Technical Expertise: CDISC/CDASH/SDTM/ADAM standards FDA guidelines and regulations Database validation and quality control processes Clinical trials Experience with Medidata Experience with Veeva Vault Experience with LabVantage Clinical trial data workflows Teamwork and collaboration Competencies: Excellence in within and cross-functional team collaboration Clear communication of technical concepts to non-technical stakeholders Proactive issue identification and resolution Ability to work independently while maintaining team alignment Impact: This role directly contributes to improving patient outcomes by ensuring the highest quality clinical data management standards in diagnostic testing development and validation. #LI-Remote The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Pay range$112,000-$127,000 USDWhat We Can Offer You Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose. About Veracyte Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit **************** or follow us on LinkedIn or X (Twitter). Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice. If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to ********************
    $112k-127k yearly Auto-Apply 13d ago
  • Staff Algorithm Engineer / Data Scientist

    Biolinqorporated

    Data science internship job in San Diego, CA

    Full-time Description WARNING about fake job posting scams. There has been a recent wave of scams whereby third parties post fake job openings using a bogus email address that resembles ****************. Under the guise of asking you to fill out an application, the scammers are attempting to gather your personal information. See the Federal Trade Commission's warning on this topic at: ******************************************* The only official source for actual Biolinq job postings/openings is at ************************ While other job sites (such as LinkedIn, Indeed or Glassdoor) may pull from Biolinq's careers web page, you should visit *********************** to verify the accuracy of the openings found on third party web sites. About the Company Biolinq is a venture-backed digital health company developing a wearable biosensor platform that measures biomarkers important to the management of many clinical conditions including diabetes. This dynamic role is a part of a team of engineers and scientists developing a novel intradermal biosensor technology and the associated software data extraction and rendering SDK that will transform the way people manage their metabolic health. Job Purpose This is a dynamic role as part of a team of engineers and scientists developing a novel intradermal biosensor technology. This highly visible role within the Company will work with a cross-functional team of scientists and engineers and will be responsible for bench and clinical data analysis, algorithm development, and supporting planning, execution, and post clinical study activities. Duties and Responsibilities Algorithm development for Continuous Glucose Monitoring system and other analytes Develop signal processing algorithms for signal noise reduction and fault detection Analysis of data collected during the course of clinical trials to assess performance of Bioling sensors and help with root-cause analyses Implementing statistical analyses of data sets acquired in the clinical setting to assess safety, efficacy, and accuracy Processing large datasets using state of the art methods Assisting with preparation of reports or presentations to fulfil business or regulatory needs Other tasks as assigned Requirements Qualifications Master's degree and 8 years of experience required. PhD degree preferred. Scientific or Engineering discipline required. Minimum of 5 years' experience in signal processing, time series data analysis and algorithm development, preferably in a medical device setting Experience with advanced data analysis tools and methods; demonstrated understanding of statistics and statistical analysis of data Must be capable of supporting projects independently without supervision Experience with advanced computing languages such as Python, R, or Matlab Experience with machine learning and data mining methods Ability to interface with both clinicians and R&D team and work in a fast-paced, multi-disciplinary environment Capacity to manage multiple projects and communicate ideas clearly to the team; excellent written and verbal communication skills Working Conditions General office and laboratory. Physical Requirements While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, see, talk or hear in a standard office environment. Employee may occasionally lift/or move up to 15 pounds. BENEFITS Medical, dental, vision, health savings account, flexible spending account, life and long-term disability insurance, 401(k) plan, holidays, and PTO. At Biolinq we fully subscribe to the principles of Equal Employment Opportunity. It is our policy to provide employment, compensation, and other benefits related to employment based on qualifications, without regard to race, color, religion, national origin, age, sex, veteran status, genetic information, disability, or any other basis prohibited by federal, state or local law. In accordance with requirements of the Americans with Disabilities Act and applicable federal, state and/or local laws, it is our policy to provide reasonable accommodation upon request during the application process to applicants in order that they may be given a full and fair opportunity to be considered for employment. As an Equal Opportunity Employer, we intend to comply fully with applicable federal, state and/or local employment laws and the information requested on this application will only be used for purposes consistent with those laws. To the extent required by applicable law, The Company maintains a smoke- free workplace. As part of our efforts to ensure fair and equal pay based on merit, Biolinq supports pay transparency internally and during the recruitment process. The U.S. base salary range reasonably expected to be paid for this role is: $150,000 to $180,000 per year. We may ultimately pay more or less than the posted range. Actual compensation packages are commensurate with experience and based on a variety of factors that are unique to each candidate including, but not limited to: skill set, depth of experience, education, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the U.S. The total compensation package for this position may also include an annual performance bonus and/or other applicable incentive compensation plans. Biolinq also offers a comprehensive package of benefits including paid time off (vacation, holidays, sick time, parental leave), medical/dental/vision insurance, and 401(k) to eligible employees, subject to the terms and conditions of the applicable plans and any written agreement between the parties. Your recruiter can share more about the total compensation package during the hiring process. Please note: The information contained herein is not intended to be an all-inclusive list of duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. 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 Biolinq Talent Acquisition at ******************* Salary Description $150,000-$180,000
    $150k-180k yearly Easy Apply 28d ago
  • Tactical Data Link Analyst

    Data Intelligence 4.5company rating

    Data science internship job in San Diego, CA

    Data Intelligence, LLC provides advanced technical services and solutions to the Department of Defense (DoD) and other federal agencies. We are seeking a skilled Tactical Data Link (TDL) Analyst to join our team, supporting interoperability development, platform integration, and technical review processes to ensure seamless joint and allied operations. The TDL Analyst will serve as a subject matter expert in TDL interoperability, working closely with engineering teams, platform developers, and DoD stakeholders to develop, evaluate, and enhance Tactical Data Link capabilities. This role requires deep technical knowledge of MIL-STDs, platform message specifications, and interoperability requirements to ensure maximum operational effectiveness across U.S. Navy, Coast Guard, joint, and allied forces. This position is fully on-site in San Diego, CA. Responsibilities: Develop and review Platform Message Implementation Plans (MIPs), Actual Platform Implementation Specifications (APIS), and Platform Implementation Difference Documents (PIDDs). Review, evaluate, and develop Link 16 Interface Change Proposals (ICPs) in accordance with applicable message standards and interface specifications. Provide interoperability subject matter expertise for Platform Requirements Specifications (PRS) and Platform Requirements Difference Documents (PRDD). Assess proposed and approved ICPs to validate compliance with Information Exchange Requirements (IERs) and ensure maximum interoperability. Review technical documentation, prepare technical responses, and provide evaluations of TDL interoperability issues. Support and attend meetings, including: Technical Interface Meetings (TIMs) Certification Integrated Product Team (IPT) Meetings Other recurring meetings related to TDL interoperability Provide USMTF-Configuration Control Board (CCB) support, including meeting package reviews and technical input. Deliver meeting support services, including preparing agendas, capturing minutes, and tracking action items. Required Qualifications: Active Secret Clearance (U.S. Citizenship required) Minimum 5 years of operational experience or extensive technical development support experience Working knowledge of: MIL-STD 6016 series MIL-STD 6040 CJCSI 6610.01 Tactical Data Link Standardization Implementation Plan iSMART Military Handbook (MIL-HDBK-524) Experience with C4ISR information systems Proficiency with Microsoft Office products (Word, Excel, PowerPoint) Ability to travel 1-15% Desired Qualifications: Bachelor's degree in a technical field Military operational experience with TDL systems Data Intelligence, DI is an established small business that has supported the critical missions of our government clients since 2005. We provide full life cycle system development, systems engineering, cybersecurity, and supporting analytical and logistics support to C4ISR and other complex systems. We are an equal opportunity employer that offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays. Data Intelligence is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.
    $73k-99k yearly est. 60d+ ago
  • Data Scientist V

    Medimpact Healthcare Systems 4.8company rating

    Data science internship job in San Diego, CA

    Exemption Status:United States of America (Exempt)$131,188 - $183,664 - $236,139 “Pay scale information is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any selected candidate or employee, which is always dependent on actual experience, education, qualifications, and other factors. A full review of our comprehensive pay and benefits will be discussed at the offer stage with the selected candidate.” This position is not eligible for Sponsorship. MedImpact Healthcare Systems, Inc. is looking for extraordinary people to join our team! Why join MedImpact? Because our success is dependent on you; innovative professionals with top notch skills who thrive on opportunity, high performance, and teamwork. We look for individuals who want to work on a team that cares about making a difference in the value of healthcare. At MedImpact, we deliver leading edge pharmaceutical and technology related solutions that dramatically improve the value of health care. We provide superior outcomes to those we serve through innovative products, systems, and services that provide transparency and promote choice in decision making. Our vision is to set the standard in providing solutions that optimize satisfaction, service, cost, and quality in the healthcare industry. We are the premier Pharmacy Benefits Management solution! Job Description Essential Duties and Responsibilities include the following. Other duties may be assigned. Work with Application Development & Support teams as a data science and AI subject matter expert and architect to develop scalable AI solutions. Design and develop predictive and prescriptive analytics for various use cases, such as drug spend forecasting, insurance plan performance optimization, medication fraud/waste/abuse detection and prevention, preventive care, and personalized treatment planning. Fine-tune and customize LLMs to simplify manual processes in healthcare systems, e.g., prior authorization rule extraction from guideline documents, data exchange file checking and error handling. Collaborate with domain experts to validate results and model performance. Design, develop, and test code at all layers to make AI systems work end to end. Create and maintain system design document. Deploy and integrate AI systems into production environment. Build and maintain workflow frameworks that ensure AI performance monitoring and automated feedback loop for continuous improvement. Initiate and drive projects to completion independently, assuming full responsibility and end-to-end accountability for end-product delivery. Promote and enable adoption of technical advancements in Data Science; elevate the art of Data Science practice at MedImpact. Act as a thought partner to senior leaders to prioritize and scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals. Partner with cross-functional teams to initiate, lead or contribute to large scale strategic projects for team, department, and company. Provide technical guidance and mentorship to less-experienced team members on solution design as well as lead code/design reviews. Education and/or Experience BS/BA and 10+ years' experience or equivalent combination of education and experience, and 6 years of SME in respective areas 3+ years of experience in a technical leadership role leading data science and AI engineering teams. Proven track record of leading AI solutions from ideation to implementation, production, and value realization. 2+ years of experience in developing predictive and prescriptive analytics in pharmacy benefit management for various use cases, such as drug spend forecasting, health benefit plan performance optimization, and medication fraud/waste/abuse detection and prevention. Familiarity with healthcare data and systems. Knowledge of prior authorization and pharmacy benefit adjudication processes. Extensive experience with databases, SQL, and programming languages like Python or Java. Thorough knowledge of data science methodology, software development life cycle, and agile development best practices. Deep understanding of AI/ML/NLP principles, specifically with generative models. Proficiency with deep learning frameworks such as Pytorch, TensorFlow, MLP, Large Language Models, Generative AI, LangChain, HuggingFace. Strong understanding and exposure in Gen AI like transformers, LLMs, text embeddings. Experience with AI automation platforms. Knowledge of reinforcement learning in addition to supervised and unsupervised machine learning paradigms. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Proven ability to prioritize and plan multiple projects to ensure effective delivery on time and budget. Business acumen, understanding business implications of decisions, demonstrating knowledge of market and competition, and aligning work with strategic goals Reasoning Ability Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Ability to define problems, collect data, establish facts, and draw valid conclusions. Mathematical Skills Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis. Language Skills Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. . Ability to read, analyze, and interpret the most complex documents. Work Location - Onsite - San Diego Travel - This position requires no travel however attendance maybe required at various local conferences and meetings. The Perks: Medical / Dental / Vision / Wellness Programs Paid Time Off / Company Paid Holidays Incentive Compensation 401K with Company match Life and Disability Insurance Tuition Reimbursement Employee Referral Bonus To explore all that MedImpact has to offer, and the greatness you can bring to our teams, please submit your resume to ************************* MedImpact, is a privately-held pharmacy benefit manager (PBM) headquartered in San Diego, California. Our solutions and services positively influence healthcare outcomes and expenditures, improving the position of our clients in the market. MedImpact offers high-value solutions to payers, providers and consumers of healthcare in the U.S. and foreign markets. Equal Opportunity Employer, Male/Female/Disabilities/VeteransOSHA/ADA: To perform this job successfully, the successful candidate must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.
    $131.2k-183.7k yearly Auto-Apply 60d+ ago
  • Data Scientist

    ICW Group 4.8company rating

    Data science internship job in San Diego, CA

    Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible. Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here! PURPOSE OF THE JOB The Data Scientist will build high performing machine learning models across the enterprise. As a key member of the rapidly growing Enterprise Analytics team, this role has the opportunity to develop and deploy impactful generative AI / LLM / ML solutions that drive revenue growth, reduce expenses, and enhance customer experience. This role will perform analyses of internal and external data sources in support of key business functions and develop predictive, descriptive modeling and identify areas of improvement for ICW business units. The Data Scientist will collaborate closely with business partners in Underwriting, Claims, Finance, Actuarial, HR, Law and Technology to help us realize the value in our extensive data resources. ESSENTIAL DUTIES AND RESPONSIBILITIES Build and deploy high performing AI/ML solutions. * Utilize LLM models to improve organization efficiency, and tune models as needed. * Perform prompt engineering. * Develop innovative AI and ML solutions and implement scalable feature engineering. * Create POC, MVP, as well as full-featured applications * Research and recommend emerging AI and ML approaches and present research results to stakeholders. * Partner effectively with data engineering and MLOps teams to ensure internal and external data pipelines support sophisticated data models and proper monitoring and alerting is in place. * Collaborate with machine learning engineers as they harden models and move them from the lab into production. * Identify and measure levers that impact essential metrics; communicate steps to business stakeholders. * Keep up to date with latest research in the field and contribute to maintaining and growing an active data science community at ICW Group. Drive insights and improve workflows and business processes throughout the organization. * Specify and develop advanced AI techniques to discover patterns, insights, and trends in ICW data. * Drive and strategize with other scientists and internal business units to ensure effective execution of data-driven initiatives. * Work closely with IT Security and Data Governance to ensure that analytics practices meet data security, privacy, and quality policies. * Collect, aggregate, and analyze data from multiple internal and external sources for use in the most advanced analytics. * Contribute to development of AI and ML internal policies and help ensure Enterprise Analytics team is compliant with applicable regulations. * Write code to help build and maintain data pipelines for production models. * Develop the highest quality, replicable predictive and descriptive analytics for business use. * Actively evaluate (tracks and validates) existing models to ensure optimal data-driven decisions and make changes as needed. * Develop a strong understanding of the business issues and data challenges of the organization in order to drive meaningful insights. * Communicate findings and insight to stakeholders and provide business strategy recommendations for optimizing business performance. * Analyze current business processes; make recommendations to management for new, more efficient, workflows, and processes. EDUCATION AND EXPERIENCE * Bachelor's degree required with a major in Statistics, Cognitive Science, Mathematics, Physics, Computer Science, Electrical Engineering, Psychology, Neuroscience or related field and a minimum of 4 years of industry experience in data science roles; OR Master's Degree and a minimum of 2 years of industry experience in data science roles; OR PhD in a related field with research involving AI/ML. * Ph.D. preferred. KNOWLEDGE AND SKILLS * Strong interest in and familiarity with LLMs / generative AI. * Experience with LLM tuning and distillation. * Knowledge and experience with statistical and machine learning algorithms, forecasting, recommender systems, reinforcement learning, deep learning, and optimization. * Cloud computing experience using several AWS tools and services. * Strong knowledge and experience with Python and SQL. * Containers and agile methodology. * Experience with PyTorch and MLflow. * Knowledge of databases and database methodology, especially Snowflake. * Experience with model deployment. * Knowledge in one or more of the following areas: Casual Inference, Anomaly Detection and/or modern Natural Language Processing techniques. PHYSICAL REQUIREMENTS Office environment - no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear. WORK ENVIRONMENT This position operates in an office environment and requires the frequent use of a computer, telephone, copier, and other standard office equipment. We are currently not offering employment sponsorship for this opportunity. #LI-TP1 #LI-HYBRID The current range for this position is $121,624.81 - $217,710.99 This range is exclusive of fringe benefits and potential bonuses. If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work. WHY JOIN ICW GROUP? * Challenging work and the ability to make a difference * You will have a voice and feel a sense of belonging * We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match * Bonus potential for all positions * Paid Time Off with an accrual rate of 5.23 hours per pay period (equal to 17 days per year) * 11 paid holidays throughout the calendar year * Want to continue learning? We'll support you 100% ICW Group is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. ICW Group will not discriminate against an applicant or employee on the basis of race, color, religion, national origin, ancestry, sex/gender, age, physical or mental disability, military or veteran status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other characteristic protected by applicable federal, state or local law. ___________________ Job Category Actuarial
    $121.6k-217.7k yearly Auto-Apply 19d ago

Learn more about data science internship jobs

How much does a data science internship earn in National City, CA?

The average data science internship in National City, CA earns between $33,000 and $111,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.

Average data science internship salary in National City, CA

$61,000
Job type you want
Full Time
Part Time
Internship
Temporary