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  • Staff Data Scientist - Acquisition

    Stubhub 4.5company rating

    Data science internship job in Aliso Viejo, CA

    StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity: We're seeking a Staff Data Scientist to lead the science and systems that power our paid search marketing. You'll design the causal measurement stack, ship models that influence bidding and budgeting in real time, and partner with marketing, data, and platform teams to drive profitable, incremental growth. StubHub is the largest secondary ticket market in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. The core challenge for our marketing efforts is to acquire as many new customers as possible, efficiently, and at the right time in their customer journey, making it a complex and highly impactful domain. Location: Hybrid (3 days in office/2 days remote) - New York, NY or Los Angeles, CA What You'll Do: Own causal measurement for paid search: Stand up uplift/incrementality frameworks (e.g., doubly robust learners, causal forests, DML, IVs, synthetic control, DiD, BSTS) to quantify lift beyond correlation. Ship production models: Build and serve models that inform bids, budgets, and query-level targeting using signals like incremental CPA, tROAS, LTV, and heterogenous treatment effects. Design experiments & guardrails: Architect geo/cell tests and online experiments; handle power analysis, pre-trend checks, SUTVA threats, SRM detection, and sequential monitoring. Integrate with ad platforms: Translate science into APIs/feeds for Google Ads, Microsoft Advertising, and SA360; validate against auction dynamics and Quality Score mechanics. Data & MLOps leadership: Partner with platform teams to instrument events, build reliable feature stores and ETL (batch/stream), and establish monitoring for drift, bias, leakage, and attribution sanity. Mentor & influence: Provide technical leadership across science, engineering, and marketing; set standards for methodology, code quality, documentation, and reproducibility. Tell the story: Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable. What You've Done: 8+ years in applied ML/causal inference (or equivalent) with direct paid search/auction experience. Expert in causal methods (uplift modeling, DML, IV, DiD/synth control, BSTS/Bayesian time series) and experimental design. Strong software engineering: Python (pandas, numpy, scikit-learn, LightGBM/XGBoost), SQL; experience with Spark and one of AWS/GCP/Azure. Hands-on with A/B frameworks, power analysis, and measurement diagnostics (SRM, balance, interference). Proven track record integrating with Google Ads/Microsoft Ads/SA360 and moving the needle on tROAS, CPA, LTV. Clear communicator who can mentor senior ICs and partner with product/marketing. Nice to Have: Strong experience with SEM optimization and bidding, particularly from the ad-buyer side. Recsys, bandits/RL for bidding/budget pacing, MMM and privacy-aware attribution. Scala/Java or microservices experience; Airflow/DBT; Kafka/PubSub; Feast or similar feature stores. Domain knowledge of auction theory, query taxonomy, brand vs. non-brand dynamics, and budget rebalancing. Staff-Level Capabilities Technical leadership through influence rather than formal management authority Strategic thinking with the ability to balance long-term technical vision with immediate organizational needs Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams Communication skills to inject technical context into high-level organizational discussions Problem-solving approach for ambiguous, high-impact technical challenges Mentorship and sponsorship experience growing junior and mid-level engineers What We Offer: Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions. Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed. Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$300,000-$350,000 USDAbout Us StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found here We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.
    $300k-350k yearly Auto-Apply 15d 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 31d ago
  • Data Scientist

    General Atomics 4.7company rating

    Data science internship job in Poway, CA

    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 are looking for a motivated and detail-oriented Data Scientist for the Business Product Solution (BPS) group within the Mechanical Engineering Department of GA-ASI. The BPS group acts as the spearhead to develop and maintain cross-functional internal systems used for project planning, design controls and resource management. The Data Scientist will collaborate closely with cross-functional partners to translate complex data into actionable insights, communicate findings and recommendations to leadership, and help define analytical objectives that support the group's strategic goals. Additionally, they will contribute to the design, development, and implementation of data-driven tools, models, and processes that enhance decision-making and operational efficiency. This position is located in Poway, CA. DUTIES AND RESPONSIBILITIES: * Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement. * Develop, refine, deploy, and support statistical and machine learning models. * lnteract with stakeholders to identify questions and issues for data analysis and experiments, document findings and may make technical presentations to business stakeholders as required. * Communicate insights and findings from analysis and experiments to leadership, partner groups, and end users (Engineers and Managers). * Recommend solutions to moderately complex technical and procedure issues. * Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements. * Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner. * Perform 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 Category Engineering Travel Percentage Required 0% - 25% Full-Time/Part-Time Full-Time Salary State California Pay Range Low 68,770 City Poway Clearance Required? No Pay Range High 116,193 Recruitment Posting Title Data Scientist Job Qualifications * Typically requires a bachelor's or master's degree in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution. May substitute equivalent experience in lieu of education. Must have a general understanding of data science concepts, principles, and theory with technical experience, demonstrating the application of those concepts. * Self-motivated to analyze stakeholder requirements and align them with available data sources, analytical methods, and machine learning models to design, prototype, and implement data-driven solutions that meet business objectives. * Experience with SQL, Python, statistical analysis methods, machine learning models and data visualization software preferred. * The ability to maintain the confidentiality of sensitive information. * Good computer skills. * Ability to work independently or lead in a team environment is essential, as is the ability to work extended hours and travel as required. US Citizenship Required? Yes Experience Level Entry-Level (0-2 years) Relocation Assistance Provided? Yes Workstyle Hybrid
    $98k-137k yearly est. 2d 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
  • Data Analyst Intern

    Thermo Fisher Scientific Inc. 4.6company rating

    Data science internship job in Carlsbad, CA

    Supply Chain Intern When you're part of the team at Thermo Fisher Scientific, you'll do important work, like helping customers in finding cures for cancer, protecting the environment, or making sure our food is safe. Your work will have real-world impact, and you'll be supported in achieving your career goals. Our staff members are committed to making a difference in our organization, for our client partners, and the patients we serve. We seek individuals with proven competencies and strong character to help lead our organization now and into the future. Our interns receive professional mentorship and leadership development opportunities to support future career growth with us. Whether you're looking to come back as a repeat intern, transition into one of our Leadership Development Programs, or pursue a full-time position post-graduation, our team is here to support your next step! How will you make an impact? Our interns are matched to projects based on their abilities and current business needs. All projects will have significant strategic and/or operating importance to the business to which they are assigned. Summer projects may include the following responsibilities: * Contribute to supply optimization projects, partnering with leadership to identify and implement improvements that enhance efficiency and resilience across the supply chain. * Support demand forecasting enhancements by refining models, conducting data analyses, and identifying opportunities to improve forecast accuracy. * Assist in supply chain master data refinement, ensuring data integrity and standardization to strengthen decision-making and reporting. * Develop and refine supply chain KPI dashboards and metrics, providing actionable insights to measure performance and drive continuous improvement. * Apply continuous improvement methodologies (i.e., PPI, Lean, Six Sigma) to identify inefficiencies and recommend process improvements. * Collaborate with cross-functional teams-including planning, operations, procurement, and analytics-to align supply chain initiatives with business objectives. Start Date This internship is set to begin on either May 11th or June 15th, 2026, for a duration of 10-12 weeks - dependent upon student availability per academic calendars. Compensation & Relocation Our undergraduate Supply Chain internships offer an hourly rate between $21.50 - $28.75 dependent upon the location you are supporting (aligned to respective cost-of-living guidelines). Additionally, a relocation stipend is offered in the amount of $5,000 if necessary. Student must be located 50+ miles away from the physical location of the internship to be eligible for the relocation stipend. How will you get here? * Undergraduate student pursuing a degree in Industrial Engineering, Supply Chain Management, Supply Chain Analytics, Business Analytics, or related fields, with expected graduation between December 2026 and June 2027. * 0 years of work experience required; previous related internships preferred. * Strong analytical skills with the ability to interpret data, generate insights, and recommend improvements. * Consistent track record of results demonstrating integrity, innovation, involvement, and intensity. * Energized through championing change, driven in getting results, and savvy in navigating ambiguity. * Excellent interpersonal communication skills with a high degree of emotional intelligence. If this sounds like you, we'd love to hear from you! To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience. Compensation and Benefits The hourly pay range estimated for this position based in California is $14.75-$28.75. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: * A choice of national medical and dental plans, and a national vision plan, including health incentive programs * Employee assistance and family support programs, including commuter benefits and tuition reimbursement * At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy * Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan * Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: *****************************************************
    $21.5-28.8 hourly 8d 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 2d ago
  • Data Analyst - NPI Engineering Programs

    Nvent Electric Inc.

    Data science internship job in San Diego, CA

    We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. We are seeking a highly analytical and detail-oriented Data Analyst - NPI Engineering Programs to support our Systems Protection business. This role will be instrumental in driving data accuracy, visibility, and actionable insights across our New Product Introduction (NPI) programs. The ideal candidate will be responsible for developing and maintaining live dashboards, tracking KPIs, and ensuring data integrity across resource planning tools and analytics platforms. This role will proactively identify and address performance gaps in NPI execution with the opportunity to work hand in hand with teams to understand and improve processes that will positively impact metrics. WHAT YOU WILL EXPERIENCE IN THIS POSITION: 1. KPI Management & Dashboard Development * Gather, validate, and maintain key performance indicators (KPIs) across resource planning tools and analytics platforms * Own the end-to-end process of KPI tracking, from data sourcing to dashboard delivery * Build and maintain real-time dashboards for NPI KPIs * Ensure data accuracy and consistency across systems * Automate reporting to eliminate manual tracking 2. Data Analysis & Strategic Insights * Analyze performance trends and identify risks or opportunities through collaboration with teams * Enable effective resource planning by ensuring data integrity and producing reports that highlight utilization, availability, and forecasted needs. * Conduct root cause analysis when KPIs fall short * Provide actionable insights to NPI teams and leadership to improve program outcomes. 3. Portfolio-Level Reporting * Aggregate KPIs and resourcing data across multiple NPI programs and businesses for strategic visibility. * Identify systemic issues or trends within the matrixed organization 4. Change Management Support * Help teams understand KPIs and what process improvements can be adopted to improve metrics * Create training materials and documentation to ensure consistent usage * Create new KPI tracking methods and dashboard tools. 5. Tool Expertise & Process Improvement * Serve as an expert in Excel and Power BI and capacity planning tools. * Integrate data from Jira, ERP, PLM, and project management tools. * Drive continuous improvement in data collection, capacity planning, reporting, and visualization processes. YOU HAVE: * A Bachelor's degree in Analytics, Computer Science, Engineering, or a related field required * Ideally 3+ years of related experience * Proficient in Power BI, SQL and Snowflake, with expertise in developing complex stored procedures for advanced data transformations * Knowledgeable in Microsoft Office 360 tools, including Sharepoint, Teams, Excel, Word, and Powerpoint Experience with Atlassian Suite (Jira, Confluence) for backlog management, progress tracking and reporting is preferred * Strong analytical skills and the ability to combine data from different sources * Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences WE HAVE: * A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day * nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. * Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at ************** * Commitment to strengthen communities where our employees live and work * We encourage and support the philanthropic activities of our employees worldwide * Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money * Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: * Innovative & adaptable * Dedicated to absolute integrity * Focused on the customer first * Respectful and team oriented * Optimistic and energizing * Accountable for performance * Benefits to support the lives of our employees Pay Transparency nVent's pay scale is based on the expected range of base pay for this job and the employee's work location. Employee pay within this range will be based on a combination of factors including knowledge, skills, abilities, experience, education, and performance. Where federal, state, or local minimum wage requirements exist, employee pay will comply. Compensation Range: $76,000.00 - $141,100.00 Depending on the position offered, employee may be eligible for other forms of compensation, such as annual incentives. Benefit Overview At nVent, we value our people and their health and well-being. We provide a broad benefits package with meaningful programs for eligible full-time employees that includes: * Medical, dental, and vision plans along with flexible spending accounts, short-term and long-term disability benefits, critical illness, accident insurance and life insurance. * A 401(k) retirement plan and an employee stock purchase plan - both include a company match. * Other supplemental benefits such as tuition reimbursement, caregiver, personal and parental leave, back-up care services, paid time off including volunteer time, a well-being program, and legal & identity theft protection. At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth. #LI-OR1 #LI-Hybrid
    $76k-141.1k yearly Auto-Apply 7d ago
  • ServiceNow Security Organization (SSO) - Data Informatics Analyst Intern

    Servicenow, Inc. 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. 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 + 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. **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 ***************************** 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
  • 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 1d ago
  • Data Analyst

    GDIT

    Data science internship job in San Diego, CA

    Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret/SCI Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Analytical Thinking, Data Analytics, Data Science Certifications: None Experience: 3 + years of related experience US Citizenship Required: Yes Job Description: Data Analysts support the IDST by using technology to mine complex, voluminous, and different varieties of data from various sources and platforms to collect, analyze, and compile data to meet customer needs. MEANINGFUL WORK AND PERSONAL IMPACT Identify new sources of data and methods to improve data collection, analysis, and reporting Collect customer requirements Determine technical issues Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages. Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data. Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products. WHAT YOU'LL NEED TO SUCCEED Experience providing services similar in required tasks, scope, and complexity. Due to US Government Contract Requirements, only US Citizens are eligible for this role. Education & Certifications: Bachelor's degree in a computer science discipline or equivalent. Security Clearance: Current Top-Secret clearance with SCI eligibility is required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. ● Growth: AI-powered career tool that identifies career steps and learning opportunities ● Support: An internal mobility team focused on helping you achieve your career goals ● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off ● Flexibility: Full-flex work week to own your priorities at work and at home ● Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $102,000 - $138,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Onsite Work Location: USA CA San Diego Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
    $102k-138k yearly Auto-Apply 1d 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 10d ago
  • Data Analyst

    Hill Minimal 112022

    Data science internship job in San Diego, CA

    Hill International is seeking a Data Analyst in San Diego, California Bachelor's or Master's degree in Business Administration, Information Systems, Communications, Computer Science, Engineering, or equivalent experience. 2-5+ years relevant work experience. Utility experience preferred. Experience with data management and visualization. Ability to manage projects. Hybrid work schedule; must be local to San Diego. The salary range for this position is $95,000 - $120,000. The offered salary will be based on the applicants qualifications, education, experience and work location. Depending upon your employment status, Hill's comprehensive benefits may include, Medical, Dental, Vision, Employer Paid Life and Accidental Death & Dismemberment Insurances, Business Travel Accident Insurance, Short-Term Disability, Long Term Disability, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Commuter Benefits, Legal Assistance, Identity Theft Protection, Pet Insurance, Auto & Home Insurance, Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Voluntary Life & Accidental Death & Dismemberment Insurance. Paid Time Off (PTO), Holidays, 401(K) Retirement Savings Plan, Employee Referral Program, Professional Certification Incentive Program, Hill University Learning and Development, Tuition Reimbursement, EAP, Years of Service Awards Program. Executes ETL processes in order to assess client datasets and visualize data in an easily consumable way for business stakeholders. Performs data analysis and compiles technical reports and findings. Understands the client's industry and business, interprets trends, and learns and implements leading practices and metrics. Leads reporting and analytics projects independently. Development of thorough test plans, ensuring proper functioning of reports and data automation tools. Provides program and project data visualization support services and may be a shared resource with other workgroups.
    $95k-120k yearly Auto-Apply 60d+ 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 8d 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

    Genomic Life

    Data science internship job in San Diego, CA

    Job Description Genomic Life is seeking an experienced Data Scientist to join our team! The Data Scientist is responsible for analyzing large-scale genomic data using statistical methods, machine learning, and bioinformatics to find and deliver clinical insights. Working with the Medical Affairs group as part of the Data Engagement Team, you will be focused on compiling, analyzing, and interpreting large data sets to identify trends and uncover insights. You will partner with the Head of Medical Affairs and other key stakeholders to deliver these high-quality insights to Genomic Life's clients and demonstrate the value of genomics and navigation. Job Type: Full-time Location: San Diego or Remote Salary Range: $110-150k Responsibilities: Compile, analyze, and interpret large data sets to identify trends, patterns, and provide key business and client insights Refine and enhance client-centric reporting requirements and continuous data insights for scientific and commercial initiatives Develop a database resource for broad analysis and assessment across multi-sourced genetic and clinical data Perform data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases Develop reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools Identify relevant data sources and sets to mine for client needs, and collect large structured and unstructured datasets Maintain continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support Design, develop, and implement valuable data-driven solutions for the organization Serve as a lead data strategist to identify new datasets that can be leveraged through our product capabilities Collaborate with the product team to implement analytical models and standard validation procedures for data sets to release to production Transition validated data sources to a self-service analytic and reporting framework Work to develop AI generated insights for analytics and forecasting Partner with the product and operational teams to enhance our internal processes for business analytics, data quality monitoring, data issue resolution and operational excellence Requirements: 5 or more years of experience in a data scientist role Bachelor's degree or higher in computer science, mathematics, engineering, or a related field Deep experience with medical data/records Experience with genetic data, genetic terminology and HPO terms Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS) Knowledge of AWS managed services is preferred (S3, DynamoDB) Ability to work effectively in a dynamic, research-oriented group with multiple concurrent projects and competing priorities Strong written and verbal communication with experience preparing manuscripts a plus Strong analytical capabilities Strong attention to detail, and excellent time-management skills Knowledge of Salesforce.com Knowledge of JIRA, Confluence, and other project management tools Ability to work in fast paced, start-up environment Experience in the employer benefits space is preferred About Genomic Life: Genomic Life's mission is to be the best in the world at navigating individuals to the genomics that matter. We provide clinically relevant proactive genetic testing all in one program, making it easy to prevent, diagnose, and treat disease. Our nationwide team is driven to make a difference for the members, clients, and patients we serve. We are bringing the science of today to the medicine of tomorrow. We are passionate about what we do and the extraordinary transformation that genomics will have on healthcare.
    $110k-150k yearly 12d ago
  • Data Analyst

    Deegit 3.9company rating

    Data science internship job in San Diego, CA

    Duration: 6 Months · Strong data analysis and data profiling skills · Strong Conceptual, Logical and Physical data modeling for VLDB Data warehouse · Hands on experience with modeling tool such as ERWIN or another industry standard tool · Exposure to ETL tool Informatica or other industry leading tools · Exposure to Cognos Reporting tool or other industry leading tools · Fluent in both normalized and dimensional model disciplines and techniques · Minimum of 3 years' experience in Oracle Database (11g or above). · Bachelor's degree in software engineering, computer science or information systems (or equivalent experience) · Effective oral and written communication skills · Ability to learn and maintain knowledge of multiple application areas · Self-motivated, responsible, conscientious, and detail oriented · Ability to follow and inform priorities and timelines · Ability to work independently and in conjunction with a team · Understanding of industry best practices pertaining to Quality Assurance concepts and procedures Additional Information All your information will be kept confidential according to EEO guidelines.
    $69k-94k yearly est. 16h ago
  • Principal Data Scientist

    Maximus 4.3company rating

    Data science internship job in San Diego, CA

    Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00
    $98k-139k yearly est. Easy Apply 8d ago
  • Data Analyst

    Vervent, Inc.

    Data science internship job in San Diego, CA

    The Data Analyst serves as an analytics specialist in the business, focusing on the management of data from various sources and providing data-driven insights to relevant departments and stakeholders. In this position, the Data Analyst gains exposure to almost all departments of the business, inclusive of data warehousing, client services, marketing, account management, and IT among others. The Data Analyst aids by providing various departments with data analysis, reporting, and dashboard solutions that will enable the achievement of the business's overall goals. The role involves the definition and execution of detailed requirements, the analysis of the business's needs, and the validation of reporting solutions within the business. The role additionally entails working with internal applications in an effort to enable high-quality products/services for the business's clients leading to customer satisfaction and the ultimate achievement of goals. Primary Responsibilities Define and document data and reporting processes. Identify and validate the appropriate technological solutions for various needs. Perform analysis for a wide range of requests using data in different formats and from various platforms. Collaborate with stakeholders and obtain buy-in by providing easy-to-understand explanations of data analysis through reports and visual dashboards that deliver high-value insights. Execute the production and delivery of reports throughout the organization and to our clients. Troubleshoot data integrity issues, analyze data for completeness to meet business needs, and propose solutions and recommendations. Continually analyze the reporting outputs to improve the effectiveness of our deliveries in both accuracy and clarity. Assist in the definition of enterprise wide data models that drive clarity and ease of use for analysts throughout the organization. Using Power BI, develop dashboards and reports for both internal and external use. Articulately and concisely explain the implications of complex data. Position Requirements : Bachelor's Degree in related discipline or equivalent experience. Working knowledge of SQL (Queries, Views, Indexes), SSIS, ETL, data cleansing, and various data visualization tools including Power BI. Understanding of data modeling, dashboard development, and report design. Ability to solve intricate business problems using various data analysis techniques. Attention to detail and with strong data analysis and problem-solving skills. Ability to function effectively both independently and within a team. Excellent interpersonal and persuasive oral and written skills. Physical Requirements: The work is of an intellectual nature. While performing the functions of this job, the employee is required to stand and sit for prolonged periods. Specific vision abilities required include close and medium distance vision and the ability to adjust focus. Must be able to hear normal sounds, distinguish sound as voice and communicate through human speech. This position requires the ability to operate a keyboard, computer mouse, telephone, fax, copier, writing tools, and other standard office equipment. On an occasion, an employee will be asked to lift items weighing up to 35 lbs. Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
    $63k-92k yearly est. Auto-Apply 60d+ ago
  • Tactical Data Link Analyst

    Sayres Defense

    Data science internship job in San Diego, CA

    Responsible for coordinating and supporting the daily operations of Tactical Data Link (TDL) systems. Provides training to designated range personnel on TDL equipment functionality and usage. Responsibilities: Serve as the primary point of contact for operational and interoperability issues related to TDL systems. Coordinate with external TDL agencies, including training and testing facilities, to ensure system software, hardware, and architecture are up to date. Recommend and support the implementation of system modifications and capability upgrades. Conduct cost analysis, optimization studies, engineering evaluations, and system integration/installation efforts as needed. Collaborate with engineering personnel to drive capability improvements. Work with configuration management to document and maintain baseline configurations of TDL systems. Qualifications: Experience in TDL operations and system integration. Strong coordination and communication skills. Background in engineering or technical support roles is preferred. Familiarity with configuration management processes. Secret Clearance required with ability to obtain TS/SCI. Benefits: Sayres Defense offers a competitive benefits package including medical, dental, and vision insurance, retirement plan options, paid time off, and additional employee support programs. Eligibility and specific offerings may vary based on position, location, and other factors. The position description is only meant to be a representative summary of the major responsibilities and accountabilities performed by the incumbents of this position. The incumbents may be requested to perform position-related tasks other than those stated in this description. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, gender identity, disability or veteran status. At Sayres, our employees enjoy an atmosphere conducive to realizing their potential through personal and professional development while simultaneously exceeding customers' expectations. We offer a broad spectrum of technical, engineering and administrative services including acquisition, financial and program management; fleet synthetic training; logistics; ship construction engineering; systems engineering and integration; wargaming; test and evaluation; security, counterintelligence and policy analysis. Sayres is headquartered in Washington, DC with offices throughout the United States and has a presence abroad. #cj
    $63k-92k yearly est. 60d+ ago

Learn more about data science internship jobs

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

The average data science internship in Encinitas, CA earns between $33,000 and $114,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.

Average data science internship salary in Encinitas, CA

$62,000
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