Research Data Analyst 3 Oakland, CA, Job ID 81754
Data science internship job in Oakland, CA
Gathers, analyzes, and interprets a wide variety of programmatic data. Designs and conducts data analysis. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results. Manages operations of several information systems and provides technical assistance to academic and administrative users statewide.
This position is a career appointment that is 100% fixed.
The home department is the Program Planning & Evaluation Department. While this position normally is based in Oakland, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University.
Pay Scale: $88,900.00/year to $126,400.00/year
Job Posting Close Date: This job is open until filled. The first application review date will be 10/24/2025.
Key Responsibilities:
35%
Gathers, analyzes, prepares, and summarizes the collection of information and data. Recommends approaches, trends, sources, and uses. Writes complex queries to gather programmatic data from multiple systems, using SQL in Microsoft SQL Server Management Studio and Microsoft Access, for annual reporting and ad hoc requests. Analyzes and prepares data to inform administrative and program decision making. Provides leadership to compile data for the Program Planning and Evaluation team and contributes to the analysis to meet annual federal program reporting requirements, strategic communications, and advocacy efforts.
20%
Manages day-to-day operations for several information systems, including the following federal systems: The National Institute of Food Agriculture's (NIFA) Reporting System; the Research, Extension, and Education Project Online Reporting Tool; and the National Information Management and Support System, with over 500 UC ANR academic users. Provides training and technical assistance to users and to campus partners. Is a core member of the multicampus Program Reporting Group with administrative staff from the Deans' Offices. Liaises with Deans' Offices across multiple campuses and with USDA NIFA on policy and technical questions. Is a core member of the Product Owner Group for Project Board, the UC Cooperative Extension information system developed in-house, working closely with IT that is responsible for programming the system. Conducts testing when enhancements are deployed. Provides technical assistance to users statewide. Be a core team member, working with IT, to replace the publications data collection system Bibliography Project to improve administrative efficiencies.
20%
Develops systems for organizing data to analyze, identify, and report trends. Structures and categorizes raw data to make it easily accessible, usable, and analyzable. Completes tasks such as data cleaning, standardization, classification, and potentially data warehousing. For example, retrieves, analyzes, and compiles UCPath data, the UC systemwide personnel system, for all UC ANR academics across multiple campuses and locations, to provide a quarterly report to leadership to illustrate trends and inform their academic staffing decisions. Manages an annual statewide survey of community educators to collect on data programmatic scope. Organizes and updates this academic and programmatic staff data in large, complex tables.
15%
Prepares data for presentation in clear and compelling ways for a variety of audiences including administrators across the UC system and academics across disciplines, from senior leadership to researchers in the field, as well as UC ANR clientele/members of the public. For example, manages the programmatic and non-sensitive personnel data tasks for presentation in the online ArcGIS UC ANR Programmatic Footprint Maps. Tests maps to ensure the data is represented properly. Acts as a member of the project team that works on continued process improvements and map data enhancements.
5%
Analyzes the interrelationships of data and defines logical aspects of data sets. Contributes to researching, assessing, and selecting new data reporting products.
5%
Implements related business processes. Adapts processes to retrieve and analyze programmatic data when organization makes related changes. Manages proposal submission and provides process oversight for academic position planning and funding opportunities.
Requirements:
Bachelor's degree in related area and / or equivalent experience / training.
Thorough skills in analysis and consultation.
Skills to communicate complex information in a clear and concise manner both verbally and in writing.
Skills in project management.
Skills at a level to evaluate alternate solutions and develop recommendation.
Ability to create and edit tables in Structured Query Language (SQL).
Ability to work independently and with a team.
Interpersonal and verbal skills to effectively communicate with diplomacy and to interact with a wide range of academics and staff.
Special Conditions of Employment:
Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies.
The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities.
As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited.
As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations.
Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
https://apptrkr.com/get_redirect.php?id=6751108&target URL=
Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
UC Sexual Violence and Sexual Harassment Policy
UC Anti-Discrimination Policy
Abusive Conduct in the Workplace
To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=81754&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant
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Data Analyst - IV (USC/GC Only)
Data science internship job in San Francisco, CA
VARITE is looking for a qualified Data Analyst - IV for one of its clients.
WHAT THE CLIENT DOES?
A U.S. based regional bank and financial services company that provides a wide range of banking products and services, including personal banking, business banking, mortgages, wealth management, and investment services.
WHAT WE DO?
Established in the Year 2000, VARITE is an award-winning minority business enterprise providing global consulting & staffing services to Fortune 1000 companies and government agencies. With 850+ global consultants, VARITE is committed to delivering excellence to its customers by leveraging its global experience and expertise in providing comprehensive scientific, engineering, technical, and non-technical staff augmentation and talent acquisition services.
**Note: We only work on W2, we do not work on C2C/1099, we do not provide Visa sponsorship, kindly refrain from applying if you do not meet this criteria, thank you for understanding!**
HERE'S WHAT YOU'LL DO:
Job Title: Data Analyst - IV (USC/GC Only)
Duration: 12 Months
Pay Rate: $90-106/hr. on W2
Work Mode: Remote role
Job Description
Essential Responsibilities:
• This is a hands-on role. Applicants should not be managers or architects.
• Provide primary technical support to end user community for problems related to software, data issues, data communication and processing errors.
• Monitor application, production and/or implementation support, both technical and user, for new releases.
• Consult on application testing strategies, document observations and coordinate responses.
• Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation. Make recommendations to management regarding process improvements. Coordinate the information flow between business owners and development staff. Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely.
• Document end-user interactions into the automated call logging tools for tracking and productivity purposes.
• Validate proposed technical approaches to system or application problem logs and make recommendations for mediation to management.
• Ability to perform involved, independent research and develop highly creative work products and proposals.
• Demonstrate a high degree of creativity in addressing problems/issues and opportunities.
• Demonstrated concentration on customer service orientation.
• Ability to work effectively in a highly matrix or virtual organization.
• Strong verbal and written communication skills with an ability to present/facilitate effective training sessions.
• Strong experience in Agile delivery, requirements engineering, backlog development and refinement.
• Strong experience in stakeholder engagement.
• Experience working with distributed teams, and providers of software solutions.
• Broad knowledge of application and data modelling techniques with the ability to identify root cause issues and appropriate solutions.
• Strong experience working in Agile environment/SAFe framework and Agile management tools like Jira.
• Excellent analytical and design skills.
• CBAP, Agile Analysis Certification or similar certifications preferred.
• Must be willing to be on call periodically from 8am-2pm ET or 2pm-8pm ET Monday through Friday.
• Hands-on for performing technical analysis and troubleshooting on highly complex integrated systems, including diagnostic approaches, determining root causes, and identifying solutions on a data lake house hosted in a cloud environment utilizing technologies such as R, sparklyr, Databricks, Starburst, Collibra, Tableau, Python and/or Alteryx.
Quals--
• Sr. Technical Analyst roles for one-year assignments to implement and manage data products, ensuring that our data pipelines are scalable, secure, and efficient.
Requirements:
Specific skill mixes we need from the tech stack:
o Databricks AND (R or sparklyr) OR (Pyspark or Python)
o Databricks AND (Starburst OR Tableau)
o Databricks AND (Collibra OR Altreyx)
HANDS-ON Experience for the following:
• Databricks -Pyspark, Data Quality Framework, Building custom dashboards
• R/SparklyR - as a data analyst
• Pyspark/Python -with scripting and automation, performance tuning and debug capabilities
• Starburst - as a data analyst or Starburst developer or support engineer
• Collibra - as a Collibra developer or support engineer
• Alteryx - as a developer or support engineer
• Tableau - as a developer with performance tuning / debug capabilities
• Immuta - As a security analyst. Must have good Role Based and Attribute Based Security knowledge.
Staff Data Scientist
Data science internship job in San Francisco, CA
Staff Data Scientist | San Francisco | $250K-$300K + Equity
We're partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they've secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI.
In this role, you'll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance.
What you'll do:
Drive deep-dive analyses on user behavior, product performance, and growth drivers
Design and interpret A/B tests to measure product impact at scale
Build scalable data models, pipelines, and dashboards for company-wide use
Partner with Product and Engineering to embed experimentation best practices
Evaluate ML models, ensuring business relevance, performance, and trade-off clarity
What we're looking for:
5+ years in data science or product analytics at scale (consumer or marketplace preferred)
Advanced SQL and Python skills, with strong foundations in statistics and experimental design
Proven record of designing, running, and analyzing large-scale experiments
Ability to analyze and reason about ML models (classification, recommendation, LLMs)
Strong communicator with a track record of influencing cross-functional teams
If you're excited by the sound of this challenge- apply today and we'll be in touch.
Digital Marketing Intern
Data science internship job in Brea, CA
We are looking for a creative and motivated Marketing Intern to assist in managing and growing the social media presence across multiple platforms for our 19 brands. In this role, you will work closely with the Senior Digital Marketing Manager to create engaging content, manage calendars, monitor social media trends, and drive audience engagement. This is a great opportunity for someone looking to gain hands-on experience in social media management for a multi-brand organization.
This is a three-month internship for approximately 20 hours a week (Monday through Friday). This position is in-office.
Key Responsibilities:
Content Creation: Develop and curate engaging content, including text, images, and video, for social media platforms.
Calendar Development & Management: Develop and manage a comprehensive social media content calendar, aligning posts and campaigns with the company's overall marketing goals and email marketing calendar.
Platform Management: Help manage social media accounts across platforms like Facebook, Instagram, and LinkedIn, ensuring consistent posting and brand voice.
Audience Engagement: Monitor social media channels for comments, messages, and mentions, responding promptly and appropriately to audience interactions.
Trend Research: Stay updated on social media trends, tools, and best practices, and bring fresh ideas to the team.
Analytics & Reporting: Assist in tracking and reporting on social media metrics, providing insights and recommendations for improving engagement and reach.
Campaign Support: Work with the marketing team to support executing social media campaigns, contests, and promotions.
Qualifications:
Currently pursuing or recently completed a degree in Marketing, Communications, Digital Media, or a related field.
Proficiency with social media platforms such as Facebook, Instagram, LinkedIn, and TikTok.
Familiarity with social media management tools (e.g., Hootsuite, Buffer) is a plus.
Creative mindset with strong communication and writing skills.
Basic understanding of social media trends, analytics, and strategies for audience engagement.
Ability to multitask and meet deadlines in a fast-paced environment.
A team player who is eager to learn and contribute to a growing organization.
This role is perfect for someone with:
Exceptional creativity, strong communication skills, and a passion for leveraging social media to build brand engagement and drive business results.
#CGHO
Pay Range$20-$20 USD
About Champions Group:
Champions Group is a nationwide leading provider of essential home services specializing in heating, air conditioning and plumbing services. With the mission to maintain long term relationships with its customers, Champions Group is dedicated to delivering timely, high-quality services across a comprehensive suite of HVAC, plumbing and electrical products. Champions Group Holdings includes brands from across the country, including Adeedo!, ASI, Bee's Plumbing, Bell Brothers, Fetch-A-Tech, HELP, Hobaica, Howard Air, JW Plumbing Heating and Air, M and M Heating, Cooling, Plumbing & Electrical, McAfee Heating and Air, Moore Home Services, ProSkill Services, Scottsdale Air, Seatown Electric, Plumbing, Heating & Air, Service Champions, Service Wizard, Sierra Air, Swan Plumbing, Heating & Air Conditioning and Timo's Air Conditioning & Heating.
We are an equal opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic outlined by federal, state, or local laws. Additionally, we will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the California Fair Chance Act and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
Champions Group Privacy Policy
Data Scientist
Data science internship job in Long Beach, CA
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India We are seeking a highly analytical and technically skilled Data Scientist to transform complex, multi-source data into unified, actionable insights used for executive reporting and decision-making.
This role requires expertise in business intelligence design, data modeling, metadata management, data integrity validation, and the development of dashboards, reports, and analytics used across operational and strategic environments.
The ideal candidate thrives in a fast-paced environment, demonstrates strong investigative skills, and can collaborate effectively with technical teams, business stakeholders, and leadership.
Essential Duties & Responsibilities
As a Data Scientist, participate across the full solution lifecycle: business case, planning, design, development, testing, migration, and production support.
Analyze large and complex datasets with accuracy and attention to detail.
Collaborate with users to develop effective metadata and data relationships.
Identify reporting and dashboard requirements across business units.
Determine strategic placement of business logic within ETL or metadata models.
Build enterprise data warehouse metadata/semantic models.
Design and develop unified dashboards, reports, and data extractions from multiple data sources.
Develop and execute testing methodologies for reports and metadata models.
Document BI architecture, data lineage, and project report requirements.
Provide technical specifications and data definitions to support the enterprise data dictionary.
Apply analytical skills and Data Science techniques to understand business processes, financial calculations, data flows, and application interactions.
Identify and implement improvements, workarounds, or alternative solutions related to ETL processes, ensuring integrity and timeliness.
Create UI components or portal elements (e.g., SharePoint) for dynamic or interactive stakeholder reporting.
As a Data Scientist, download and process SQL database information to build Power BI or Tableau reports (including cybersecurity awareness campaigns).
Utilize SQL, Python, R, or similar languages for data analysis and modeling.
Support process optimization through advanced modeling, leveraging experience as a Data Scientist where needed.
Required Knowledge & Attributes
Highly self-motivated with strong organizational skills and ability to manage multiple verbal and written assignments.
Experience collaborating across organizational boundaries for data sourcing and usage.
Analytical understanding of business processes, forecasting, capacity planning, and data governance.
Proficient with BI tools (Power BI, Tableau, PBIRS, SSRS, SSAS).
Strong Microsoft Office skills (Word, Excel, Visio, PowerPoint).
High attention to detail and accuracy.
Ability to work independently, demonstrate ownership, and ensure high-quality outcomes.
Strong communication, interpersonal, and stakeholder engagement skills.
Deep understanding that data integrity and consistency are essential for adoption and trust.
Ability to shift priorities and adapt within fast-paced environments.
Required Education & Experience
Bachelor's degree in Computer Science, Mathematics, or Statistics (or equivalent experience).
3+ years of BI development experience.
3+ years with Power BI and supporting Microsoft stack tools (SharePoint 2019, PBIRS/SSRS, Excel 2019/2021).
3+ years of experience with SDLC/project lifecycle processes
3+ years of experience with data warehousing methodologies (ETL, Data Modeling).
3+ years of VBA experience in Excel and Access.
Strong ability to write SQL queries and work with SQL Server 2017-2022.
Experience with BI tools including PBIRS, SSRS, SSAS, Tableau.
Strong analytical skills in business processes, financial modeling, forecasting, and data flow understanding.
Critical thinking and problem-solving capabilities.
Experience producing high-quality technical documentation and presentations.
Excellent communication and presentation skills, with the ability to explain insights to leadership and business teams.
Benefits
Medical coverage and Health Savings Account (HSA) through Anthem
Dental/Vision/Various Ancillary coverages through Unum
401(k) retirement savings plan
Paid-time-off options
Company-paid Employee Assistance Program (EAP)
Discount programs through ADP WorkforceNow
Additional Details
The base range for this contract position is $73 - $83 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered
About Us
STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees.
Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY.
Check out more at ************** and reach out today to explore opportunities to grow together!
By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.
Data Scientist
Data science internship job in San Francisco, CA
We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics.
We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability.
This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions.
Key Responsibilities
Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records)
Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers
Research and prototype innovative approaches leveraging both classical and modern machine learning techniques
Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments
Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs
Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations
Required Qualifications
Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis
Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.)
Proven track record of transitioning models from research prototypes to production systems
Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued)
Bonus Qualifications
Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC)
Background in actuarial modeling, claims forecasting, or risk adjustment methodologies
Lead Data Scientist - Computer Vision
Data science internship job in Santa Clara, CA
Lead Data Scientist - Computer Vision/Image Processing
About the Role
We are seeking a Lead Data Scientist to drive the strategy and execution of data science initiatives, with a particular focus on computer vision systems & image processing techniques. The ideal candidate has deep expertise in image processing techniques including Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection.
Responsibilities
Solid knowledge of computer vision programs and image processing techniques: Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection
Strong understanding of machine learning: Regression, Supervised and Unsupervised Learning
Proficiency in Python and libraries such as OpenCV, NumPy, scikit-learn, TensorFlow/PyTorch.
Familiarity with version control (Git) and collaborative development practices
Data Scientist V
Data science internship job in Menlo Park, CA
Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow's ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries.
******NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future***
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Job Responsibilities:
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Generate and test hypotheses and analyze and interpret the results of product experiments.
• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Skills:
• Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
• Experience working with large datasets.
Education/Experience:
• Master of Science degree in computer science or in a relevant field.
Founding Data Scientist (GTM)
Data science internship job in San Francisco, CA
An early-stage investment of ours is looking to make their first IC hire in data science. This company builds tools that help teams understand how their AI systems perform and improve them over time (and they already have a lot of enterprise customers).
We're looking for a Sr Data Scientist to lead analytics for sales, marketing, and customer success. The job is about finding insights in data, running analyses and experiments, and helping the business make better decisions.
Responsibilities:
Analyze data to improve how the company finds, converts, and supports customers
Create models that predict lead quality, conversion, and customer value
Build clear dashboards and reports for leadership
Work with teams across the company to answer key questions
Take initiative, communicate clearly, and dig into data to solve problems
Try new methods and tools to keep improving the company's GTM approach
Qualifications:
5+ years related industry experience working with data and supporting business teams.
Solid experience analyzing GTM or revenue-related data
Strong skills in SQL and modern analytics tools (Snowflake, Hex, dbt etc.)
Comfortable owning data workflows-from cleaning and modeling to presenting insights.
Able to work independently, prioritize well, and move projects forward without much direction
Clear thinker and communicator who can turn data into actionable recommendations
Adaptable and willing to learn new methods in a fast-paced environment
About Us:
Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: *********************
How We Work:
We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately.
Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.
Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.
Data Analyst
Data science internship job in Fremont, CA
HCLTech is looking for a highly talented and self- motivated Advanced Data Analyst to join it in advancing the technological world through innovation and creativity.
Job Title: Advanced Data Analyst
Position Type: Full Time
Location: Onsite
Role Overview
Mandatory skills - My Sql, Python, Tableau and Simulation Tool Experience
Strong ability in translating business requirements and needs into analytic solutions, within multiple areas in IT and with various stakeholders, including key leaders and managers.
Leverage data to understand in depth IT business processes, identify areas of opportunity for process improvement.
Write queries, analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives. E.g., build rich and dynamic dashboards using Tableau.
* Develop deep understanding of analytical data models.
*Simulation Tools experience is must. Anylogic experience is big plus.
* Support project development life cycles through data modeling, reporting and analytics.
Participate in the on-going development of the business intelligence and data warehousing functions within the wider organization.
Create training materials to guide business users on how to use dashboards.
Participate in the creation and support of development standards and best practices.
Explore and recommend emerging technologies and techniques to support/enhance BI landscape components.
* Automate solutions where appropriate. Skills
* At least 4-6 years of business intelligence and data warehouse experience.
* At least 2-year experience with ANSI SQL/ Presto / Hive/ MySQL.
* At least 1 year of experience with Tableau.
* Prefer a candidate with scripting experience (Python/R/Javascript/PHP/ Perl/Ruby/etc.)
* Prefer a candidate with experience building and maintaining pipelines
* Knowledge of ETL processes and designs.
Pay and Benefits
Pay Range Minimum: $59,000 per year
Pay Range Maximum: $109,000 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation.
A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year
How You'll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your
brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
AI Data Scientist
Data science internship job in Cupertino, CA
Onsite in Cupertino, CA from Day 1 (Client prefer local folks)
Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri)
Long term contract
Direct client opportunity
No Mid layer / No Implementation partners are Involved
Key points
- Need someone focused on product management and integration of generative AI solutions
- Excellent communication, organizational, and problem-solving skills
We are seeking an AI Engineer to join our Legal Operations team and lead the design, development and deployment of AI-powered tools and automation solutions that transform how our Legal Department operates.
This is a unique opportunity for a technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions.
You will work closely with attorneys, legal ops specialists, and other engineering teams to identify opportunities for AI-driven efficiency, develop prototypes and bring scalable solutions to life.
The ideal candidate combines strong software engineering and AI expertise with excellent communication skills, product sensibility and a curiosity about legal workflows and technology
Description
As a Senior Data Scientist/ AI Engineer, you will be responsible for overseeing the design and execution of key tool development programs.
This is a unique opportunity for a technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions.
You will work closely with attorneys, legal ops specialists, and other engineering teams to identify opportunities for AI-driven efficiency, develop prototypes and bring scalable solutions to life.
The ideal candidate combines strong software engineering and AI expertise with excellent communication skills, product sensibility and a curiosity about legal workflows and technology.
Key responsibilities may include:
Develop and deploy AI solutions that enhance legal workflows, including contract review, document classification, knowledge management and workflow automation.
Collaborate cross-functionally with attorneys, legal operations, compliance and engineering teams to identify and prioritize AI use cases.
Act as a product developer and owner from concept to rollout-defining requirements, developing proofs of concept, collecting feedback and iterating solutions.
Integrate large language models (LLMs) and other AI technologies into existing systems (e.g., document management, eDiscovery, CLM, or knowledge bases).
Evaluate and integrate third-party legal AI tools and platforms as needed, ensuring compatibility and compliance with internal systems.
Maintain strong documentation and governance around data usage, model performance and ethical AI standards.
Stay current on emerging trends in AI, machine learning and legal tech to help shape the department's AI strategy.
Minimum Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
5+ years of experience building and deploying AI/ML or automation solutions in production environments.
Strong programming skills in Python (proven ability to quickly master new frameworks and tools).
Demonstrated experience with modern AI architectures including context engineering, tool use and retrieval augmented generation.
Proven ability to communicate complex technical concepts to non-technical stakeholders.
Strong product development mindset-able to translate business needs into practical, scalable AI tools.
Prior experience in or exposure to legal tech or legal operations.
Preferred Qualifications
Familiarity with DMS, document intelligence and CLM systems (e.g., Ironclad, Icertis, DocuSign CLM), document management platforms (e.g., iManage, NetDocuments) or legal AI tools (e.g., Harvey, Luminance, Casetext, Spellbook, etc.).
Experience building internal AI assistants or chatbots for enterprise knowledge retrieval.
Understanding of data privacy, compliance and governance frameworks relevant to legal data.
Pay Range: $65/hr - $70/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.
Principal Data Scientist
Data science internship job in Alhambra, CA
The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions.
The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship.
The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts.
5+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments.
3+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration.
3+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing).
2+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring.
2+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms).
2+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development.
2+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases.
1+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices.
Education:
This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis.
At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience.
Data Analyst
Data science internship job in Los Angeles, CA
About Us
Sunderstorm is a premier cannabis company that owns and operates the award-winning edibles brand Kanha. Based in California, the Company has over 200 employees with operations in Massachusetts, Illinois, Nevada, and Thailand. Sunderstorm is a leader in nano-tech fast acting edibles, has recently launched a line of vape products, and distributes for third party brands in California. Serving over 1000 retails clients, Sunderstorm and its flagship Kanha gummies are a national cannabis success.
Work with Us - KANHA is excited to welcome talented builders, doers and thinkers to join our team!
If you're ready to take the next step in your career, we encourage you to apply and prepare yourself to embark on a new blissful journey with KANHA!
So what does KANHA offer YOU?
Comprehensive benefits package, including health insurance, voluntary coverage and a retirement savings plan option
Paid Time-Off (vacation pay, sick pay, holiday pay)
On-the-job training to foster your growth and success.
Company events, catered lunches, team building activities and more!
Employee Assistance Program (EAP)
A culture founded on inclusivity and respect, where each team member's contributions are acknowledged and celebrated.
**Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.**
Job Description
Sunderstorm is leading the technology charge in cannabis, one of the most exciting and challenging industries today. We are expanding both domestically and internationally, and data-driven insights are critical to our growth. We are seeking a Data Analyst to join our team, reporting to the Data Science Manager, to help drive e-commerce sales and support both our marketing and product teams with actionable analytics.
As a Data Analyst, you'll partner with marketing, product, and e-commerce to turn data into decisions. You'll own SQL analysis and Tableau dashboards, ensure consistent metrics and clean data, and uncover insights that improve conversion and customer experience. You'll evaluate performance across channels, run campaign analyses, and deliver clear, actionable recommendations that guide business strategy. Statistical testing and experiment design experience is a plus.
This role is ideal for someone who loves turning data into action. You will not only surface insights but also make clear recommendations that shape marketing campaigns, optimize spend, improve ROI, and support product decisions. You'll help Sunderstorm's digital marketing, e-commerce, and product efforts thrive in a fast-paced, innovative environment.
Duties and Responsibilities:
Be a strategic thought partner to stakeholders across product, marketing, e‑commerce, and leadership; framing questions, shaping hypotheses, and translating insights into decisions.
Build and maintain core BI assets (dashboards, data models, scheduled reports); apply Tableau best practices and create executive-ready presentations that turn analysis into clear, actionable recommendations.
Perform ad‑hoc SQL analysis across key data sources (e.g., Shopify data, CRM, ads/web analytics) to answer high‑impact questions quickly and accurately.
Analyze marketing and e-commerce performance across channels (Meta, Google, email, social, paid media, SEO) and provide actionable recommendations to optimize spend and improve results.
Train and monitor pretrained AI agents on internal datasets to improve accuracy, reduce hallucinations, and ensure model outputs align with business needs.
Monitor and interpret sales trends and customer behavior, identifying opportunities to increase revenue, improve conversion, and enhance engagement.
Support the Product Manager by maintaining reports, transforming data from multiple sources, building visualizations, and conducting ad-hoc market analyses that inform product strategy.
Collaborate with the Analytics Engineer to maintain analytics‑ready pipelines, consistent metric definitions, and strong data quality through validation and reconciliation.
Lead pre- and post-campaign analyses across paid, owned, and on-site experiences to highlight performance drivers and recommend optimizations.
Assist with data cleaning, validation, and mapping efforts to maintain data quality and ensure consistency across reporting systems.
Stay current with modern analytics tools, techniques, and industry trends; evaluate and pilot improvements that increase speed, accuracy, and insight quality.
Collaborate with ERP specialists to ensure primary data sources are accurate, integrated, and aligned with analytics and reporting requirements.
Strong descriptive analytics skills with the ability to interpret trends and patterns; familiarity with statistical analysis, experimentation, and advanced hypothesis testing is a plus.
Skills and Qualifications:
2+ years in a data analyst or business analyst role
Bachelor's degree required; Master's in analytics, business analytics, Data Science, Engineering or related field preferred
2+ years analyzing marketing and e-commerce performance, including A/B testing and conversion optimization
Strong skills with reporting and analytics tools (e.g., SQL, Excel, Tableau, Google Analytics, GA4)
Experience with digital marketing platforms (e.g., HubSpot, Shopify, ad platforms) and marketing attribution concepts
Cannabis, CPG, or regulated industry experience a plus
Here at Sunderstorm Inc we offer medical, dental, vision insurance and retirement benefits. Come be a part of our growing organization and its opportunities for your career development! You will learn and develop alongside a team of professionals who aim to excel in the cannabis industry. Apply now!
Sunderstorm Inc is an Equal Employment Opportunity Employer and we welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status or genetics. We are dedicated to providing an inclusive, open, and diverse work environment.
Air Quality Data Analyst
Data science internship job in San Francisco, CA
Please review the below sections, especially the "how to apply" section, to complete your application and be considered for this position!
Title: Air Quality Data Analyst
Salary: $36/hr-$45/hour-salary commensurate with experience
Job Type: Part-time, Temporary
Benefits: Sick leave accrual
Duration of Appointment: Est. 2 months from start date
Location/Schedule: Hybrid, with potential for remote. For remote consideration, the individual must be California-based and able to be on site for their first day; Estimate 10 hours/week
About the Position: This role is a part-time, temporary position (10 hours/week) that will help assist with our air quality data work in the areas identified below.
Air Quality Data
Work with the Program Manager to provide support in bridging the technical components of our air quality data work and helping to translate that information for the general public and community members, including into written materials, presentations, and reports
Evolve Brightline's air quality program to the next generation and help prepare for us for the next level of grantmaking.
Review and assess our current air quality data and network to identify opportunities for expansion or new directions, as well as any gaps, and communicate those findings to the team. This includes researching other air quality data programs and materials and providing written recommendations/report.
Collaborate with Brightline staff, partners and volunteers who are working on analyzing our air quality data.
Participate in meetings related to our air quality work, including with vendors and other key partners.
Drafts, reviews and analyzes air quality data and other documents; conducts inquiries, compiles and researches information.
Additional program support as needed-could include supporting site visits, off site community meetings, air quality sensor network maintenance, etc.
General Support:
Provide grant support including with any progress report deliverables, looking for documentation, helping to track deadlines, follow up with partners, etc.
Assist Brightline team members with other projects as needed
Required Qualifications, Skills, and Abilities:
3-5 years of related experience, including some direct work with environmental mapping
Experience with utilizing ArcGIS
Experience with R, modeling or other coding languages
Familiarity utilizing Google Suite, Canva (or other design software)
Strong interpersonal, written and oral communication skills
Ability to work with data and identify trends and areas where further data points or analysis are needed
Ability to translate and bridge the technical components of the data analysis and findings to those not in the field, including individuals in the community
Ability to collaborate with multiple stakeholders and take and incorporate feedback/input
Outstanding relationship-building skills, as well as ability to adapt communication style
Must demonstrate strong organizational skills, ability to adapt and must be detail oriented.
Desire to learn more about Brightline's work
Passion for working in environmental justice
Desire to work with diverse communities and neighborhoods in San Francisco
Preferred Skills & Qualifications
Masters or PhD in related field
Experience with Tableau or other data visualization software
Experience with website coding
Spanish, Cantonese, or Arabic language skills
Experience working with community-based organizations and or low-income communities
How to Apply
Please email a short cover letter, resume, and three references (preferably direct supervisors and include e-mail and a phone number for each) to ************************** with the subject line “Air Quality Data Analyst Application - [Your Name].” Applications will be reviewed on a rolling basis, with first round of interviews occurring the week of December 1, 2025, until the position is filled.
Lead Data Scientist
Data science internship job in Alhambra, CA
Role: Principal Data Scientist
Duration: 12+ Months contract
The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts.
Required Experience
• Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments.
• Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration.
• Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing).
• Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring.
• Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms).
• Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development.
• Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases.
• One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices.
Education
This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis.
At least one of the following industry-recognized certifications in data science or cloud analytics, such as:
• Microsoft Azure Data Scientist Associate (DP-100)
• Databricks Certified Data Scientist or Machine Learning Professional
• AWS Machine Learning Specialty
• Google Professional Data Engineer
• or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience.
Additional Information
• California Resident Candidates Only.
This position is HYBRID (2 days onsite, 2 days telework).
Interviews will be conducted via Microsoft Teams.
The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager.
Shifts may range between 7:15 a.m. and 6:00 p.m.
Data Analyst with Pyspark & AB Testing
Data science internship job in Sunnyvale, CA
In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
At least 4 years of experience in Information Technology
Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models
Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data
Strong experience using Python, Advanced SQL and PySpark
Preferred Qualifications:
Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field
Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns)
Knowledge of Machine Learning techniques
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
EEO/About Us :
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Data Coordinator
Data science internship job in Calabasas, CA
JSG is seeking a Data Coordinator for an onsite, temp to hire position for our client in Woodland Hills, CA. This role is ideal for someone with strong attention to detail, solid technical skills, and a great attitude toward learning and growth - willingness to learn new systems.
New graduates are encouraged to apply!
As part of a collaborative team, you'll play a key role in maintaining accurate product, pricing, and customer information - ensuring smooth operations across departments such as Product, Sales, Marketing, and Accounting. You'll also have the opportunity to learn reporting tools, contribute to process improvements, and support data-driven decision-making.
Key Responsibilities
Maintain accurate and up-to-date product, pricing, and customer data within the reservation system.
Collaborate with cross-functional teams on new product setups, pricing updates, and promotions.
Audit and validate data to ensure accuracy and consistency across systems.
Assist in generating reports and dashboards to support business insights.
Support ongoing process improvement initiatives to enhance operational efficiency.
Coordinate with Accounting and Sales teams to align data and reporting needs.
Provide user support for data-related questions or reporting tools.
Qualifications:
Associate's degree or higher preferred; new graduates are welcome.
6 mos. - 1yr of work experience
Intermediate Microsoft Excel and proficient with Microsoft Office Suite.
Strong analytical, organizational, and problem-solving skills.
Excellent attention to detail and ability to manage multiple priorities.
Positive attitude, adaptability, and willingness to learn new systems and tools.
Strong verbal and written communication skills; ability to work effectively across departments.
Basic reporting understanding of Tableau
Seaware experience a plus
Pay rate: $24/hr.
JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.
Staff Data Scientist, Full Stack
Data science internship job in Santa Clara, CA
Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Who We Are
We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!
At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.
Job Description
Your Career
As a Staff Data Engineer and Scientist, you will be an integral member of our Customer Analytics team, responsible for shaping the future of our business operations through robust data infrastructure and advanced analytical solutions. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise. You will act as both a strategic partner as well as builder, developing deep insights , building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives.
You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work.
This is an in office role 3 days/week in our HQ, Santa Clara, CA
Your Impact
In this versatile role, you will drive impact across both data engineering and data science domains:
Data Engineering Foundations
Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes.
AI/ML Innovation & Business Impact
Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales.
Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents-such as conversational systems that allow users to query massive datasets using natural language-to improve their accuracy, efficiency, and reliability.
Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.
Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation.
Qualifications
Your Experience
7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering.
Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled.
Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost).
A solid command of SQL for complex querying and data manipulation.
Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
Preferred Qualifications
Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space.
Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
Experience in evaluating and optimizing the performance of AI systems or agents.
Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis.
An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience.
Additional Information
The Team
Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks.
We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
Data Scientist
Data science internship job in Palo Alto, CA
Client: AT&T
Primarily looking at:
Data Bricks, Azure, Mongo DB, SQL Indexing, Python OOPS for modularizing notebooks into python library.
Lastly LLM fine tuning using LORA and QLORA.
Job Description:
Competent Data Scientist, who is independent, results driven and is capable of taking business requirements and building out the technologies to generate statistically sound analysis and production grade ML models.
DS skills with GenAI and LLM Knowledge.
Experience building H2O models (XGboost, logistic regression, neural networks, random forest).
Experience with MongoDB and NO-SQL Datasets.
Experience in Hadoop ecosystem, Databricks and Pyspark.
Expertise in Python/Spark and their related libraries and frameworks.
Experience in building training ML pipelines and efforts involved in ML Model deployment.
Experience in other ML concepts - Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, Model
Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting.
Familiar with DS/ML Production implementation.
Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks.
Azure cloud and Databricks prior knowledge will be a big plus.
Data Analyst
Data science internship job in Parksdale, CA
In order for your application to be considered, please attach a cover letter and resume to your employment application
.
The mission of the USC Sol Price School of Public Policy is to improve quality of life through inspired education, research and service. Implicit in our mission is the call to serve as guardians of the public interest and common good.
The Price School of Public Policy is seeking a Data Analyst to join its team. The Data Analyst will own the school's enrollment management responsibilities, reporting and analyzing data trends across all aspects of the student lifecycle. The ideal candidate has experience developing reports in Excel, Tableau and/or Salesforce and has a keen understanding of how their work supports the goals of the organization.
This is a full-time position and reports to the Director of Data Analytics. This position is a hybrid work arrangement (subject to change).
Responsibilities
Produce reports on application, admission, enrollment and retention data for internal and external reporting purposes
Translate organizational requirements into reports and visualizations
Develop and maintain Tableau reports and dashboards
Support front-end Tableau users to troubleshoot issues
Work closely with Salesforce users to maintain data integrity
Collaborate with various USC staff to execute organizational goals
Respond to ad hoc report requests from schools and units
Performs other related duties as assigned or requested. The university reserves the right to add or change duties at any time.
Qualifications
Bachelor's degree, Masters preferred
1-2 years of experience with Tableau or similar tools preferred
Salesforce experience is a plus
Database management experience
Demonstrated ability to gather requirements and develop solution in a business or organizational setting
Must be able to produce quality reports and presentations that communicate findings clearly to diverse stakeholders
Detail-oriented with experience documenting processes
Strong problem solving and analytical skills
Excellent interpersonal and communication skills
The annual base salary range for this position is $84,855.38 - $95,016.82. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
About the USC Price School of Public Policy
Ranked among the top schools of public policy in the nation, the USC Sol Price School of Public Policy and has as its mission to improve the quality of life for people and their communities worldwide. The School is composed of overlapping disciplines that generate innovative approaches to critical issues ranging from health-care policy to homelessness, and sustainability to congestion - to name a few. A wide-ranging curriculum, including extensive experiential learning, prepares our graduates to navigate problems that demand multi-layered solutions driven by critical, informed thinking.
The Price School, founded in 1929, is anchored by four departments: Public Policy and Management, Health Policy and Management, Wilbur H. Smith III Department of Estate Development; and Urban Planning and Spatial Analysis. The School's rigorous academic programs provide students with the knowledge and distinctive opportunities to make meaningful contributions to their professions. Integrating classroom instruction with real-world experience and led by some of the world's most renowned faculty in their fields, our students establish a clear pathway to successful careers.
Our academic programs are augmented by numerous research centers, institutes and initiatives that provide additional research expertise and experiences, notable among them are: The Judith and John Bedrosian Center on Governance and the Public; The Center for Philanthropy and Public Policy; The USC Lusk Center for Real Estate; The METRANS Transportation Consortium; USC Leonard D. Schaeffer Institute for Public Policy & Government Service; and The Schwarzenegger Institute for State and Global Policy. Together, they account for over $100 million in externally funded research grants and contracts.
Our departments and research enterprise provide unmatched breadth and depth to tackle an enormous range of challenges facing our country and the world. Our graduates hold leadership positions across diverse sectors - public, private, and nonprofit - championing the advancement of the common good. They come from around the world and from a variety of cultures and socio-economic backgrounds to create a rich intellectual environment that celebrates, supports and benefits from diverse people and opinions.
Join the Price School and work as a trusted partner in shaping an environment of innovation and excellence.
USC will provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at **************, or by email at *************. Inquiries will be treated as confidential to the extent permitted by law. USC will consider for employment all qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring ordinance.
Minimum Education: Bachelor's degree
Minimum Experience: 1 year
Minimum Field of Expertise: Proficient PC skills. Working knowledge of databases, spreadsheets, word processing and statistical software programs. Knowledge of business statistics and data analyses techniques. Ability to manage and analyze data. Strong analytical thinking and problem solving skills.
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at **************, or by email at *************. Inquiries will be treated as confidential to the extent permitted by law.
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