Marketing Data Scientist - Causal Inference & A/B Testing
Amazon 4.7
Data science internship job in San Francisco, CA
A leading audio entertainment service is seeking a Research Scientist to analyze marketing campaign effectiveness through causal models and experimental studies. This role involves collaborating with marketing teams and utilizing advanced statistical methods to enhance decisions and strategies. The ideal candidate holds a PhD or a Master's with significant quantitative research experience and proficiency in scripting languages like R or Python. Comprehensive benefits and competitive compensation are offered.
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$122k-176k yearly est. 5d ago
Director, Growth Platforms Data Scientist
Ernst & Young Oman 4.7
Data science internship job in San Francisco, CA
A leading global consulting firm seeks a Data Scientist - Director in San Francisco to drive AI solutions and data initiatives. The ideal candidate will lead multi-source data pipelines, architect complex data solutions while collaborating with business leaders. Candidates should have a strong educational background, extensive experience in data engineering, and proficiency with SQL and cloud-native infrastructure. This role offers a competitive salary range of $205,000 to $235,000 and promotes a hybrid working model.
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$205k-235k yearly 5d ago
Data Insights Analyst - Growth & Operations
General Medicine Inc. 3.7
Data science internship job in San Francisco, CA
A healthcare solutions company seeks an Analyst in San Francisco. You'll analyze healthcare data, build dashboards, and provide actionable insights to leadership. Ideal candidates have 2+ years in analytical roles and should be proficient in SQL and Excel. This position offers the chance to make a significant impact as the first analyst in a fast-paced environment, with opportunities for growth and innovation in consumer healthcare.
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$69k-97k yearly est. 3d ago
Staff Data Scientist - Post Sales
Harnham
Data science internship job in Sonoma, CA
Salary: $200-250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our datascience organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth.
About the Role
As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.
Key Responsibilities
Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.
About You
Experience: 6+ years in datascience or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.
$200k-250k yearly 3d ago
Data Scientist
Everfit 3.8
Data science internship job in Santa Rosa, CA
Data Scientist Everfit | Hybrid, San Francisco Bay Area
Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and Millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights.
About the Role
We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform.
What You'll Do
Product Analytics & User Insights
Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success.
Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization.
Identify opportunities to improve onboarding, engagement, and coach-client interactions.
Experimentation & A/B Testing
Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation.
Strategic Impact & Roadmapping
Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes.
Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions.
Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams.
Technical Foundations
Partner with data engineering to improve pipelines and instrumentation.
Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms.
Marketing Analytics & Optimization
Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion.
Partner with marketing and growth teams to design and evaluate campaign experiments
What We're Looking For
4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company
Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets
Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar)
Understanding of SaaS metrics and cohort analysis
Experience with translating numerical findings into clear insights for non-technical team members
Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world)
Bonus Points:
Experience with Python or R for statistical analysis
Experience in a PLG (Product-Led Growth) environment
Experience working at a company during a hypergrowth phase
Background in fitness, health, wellness, or coaching industries
You'll thrive here if you:
Are naturally curious and love asking "why" until you find the answer
Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling
Enjoy collaborating with global teams and making complex topics understandable
Are comfortable with ambiguity and can structure your own work
Care deeply about the impact your insights have on real coaches and their clients
Why Join Everfit
Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world
Work with autonomy and ownership on high-impact projects
Join a collaborative, global team with experience from leading tech and fitness companies
Enjoy competitive salary, equity, and performance bonuses
Build something meaningful that helps people live better, healthier lives
Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status.
Ready to dive into data in the fitness intelligence space? We'd love to hear from you.
$124k-169k yearly est. 5d ago
Data Scientist
Talent Software Services 3.6
Data science internship job in Novato, CA
Are you an experienced Data Scientist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Scientist to work at their company in Novato, CA.
Client's DataScience is responsible for designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas of Client. With a quality-by-design culture, DataScience builds quality data that is fit-for-purpose to support statistically sound investigation of critical scientific questions. The DataScience team develops solid analytics that are visually relevant and impactful in supporting key data-driven decisions across Client. The Data Management Science (DMS) group contributes to DataScience by providing complete, correct, and consistent analyzable data at data, data structure and documentation levels following international standards and GCP. The DMS Center of Risk Based Quality Management (RBQM) sub-function is responsible for the implementation of a comprehensive, cross-functional strategy to proactively manage quality risks for clinical trials. Starting at protocol development, the team collaborates to define critical-to-quality factors, design fit-for-purpose quality strategies, and enable ongoing oversight through centralized monitoring and data-driven risk management. The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies.
Primary Responsibilities/Accountabilities:
The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the study's complexity and the study's development stage:
Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.
Qualifications:
PhD, MS, or BA/BS in statistics, biostatistics, computer science, datascience, life science, or a related field.
Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example:
PhD: 3+ years
MS: 5+ years
BA/BS: 8+ years
Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
Hands-on experience working with clinical trial data.•Proficiency with Microsoft Word, Excel, and PowerPoint.
Technical - Preferred / Strong Plus
Experience with RAVE EDC.
Awareness or working knowledge of CDISC, CDASH, SDTM standards.
Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.
Preferred:
Knowledge of GCP, ICH, FDA guidance related to clinical trials and risk-based monitoring.
Strong analytical and problem-solving skills; ability to interpret complex data and risk outputs.
Effective communication and teamwork skills; comfortable collaborating with cross-functional, global teams.
Ability to manage multiple programming tasks and deliver high-quality work in a fast-paced environment.
$99k-138k yearly est. 4d ago
Data Analyst
Diligente Technologies
Data science internship job in San Francisco, CA
Title: Technical Data Analyst
Contract
We are seeking a 10+ years' experience Technical Data Analyst with strong expertise in SQL and Python, hands-on experience with modern data platforms, and the ability to translate complex data into trusted, actionable insights. This role will work closely with engineering, product, and business stakeholders to support analytics, reporting, and data-driven decision-making at scale.
Key Responsibilities
Write complex, high-performance SQL queries to analyze large, structured and semi-structured datasets
8-10 years of software development and deployment experience with at least 5 years of hands-on experience with SQL, Databricks, ADF, Datastage (or other ETL tool), SSAS cubes, Cognos, Tableau, Thoughtspot and other BI tools
·Write SQL for processing raw data, kafka ingestions, adf pipelines, data validation and QA
·Knowledge working with APIs to collect or ingest data
Use Python for data analysis, automation, validation, and lightweight data engineering tasks
Build, enhance, and maintain dashboards and reports using Tableau and ThoughtSpot
Partner with data engineers to design, validate, and optimize ETL/ELT pipelines
Work extensively with Databricks (Spark, notebooks, Delta tables) for data exploration and analytics
Perform data quality checks, reconciliations, and root-cause analysis to ensure data accuracy and consistency
Translate business requirements into technical data solutions and semantic layers
Support self-service analytics by documenting datasets, metrics, and business definitions
Collaborate across teams to troubleshoot data issues and improve reporting performance
Required Qualifications
Strong proficiency in SQL, including complex joins, window functions, CTEs, and performance optimization
Strong Python skills for data analysis and scripting (e.g., pandas, numpy)
Hands-on experience with Databricks and distributed data processing concepts
Hands on experience working with ETL tools and data pipelines (batch and/or streaming)
Proficiency in reporting and visualization tools such as Tableau, ThoughtSpot, Cognos, SSAS Cubes
Solid understanding of data warehousing concepts, data modeling, and analytics best practices
Ability to analyze large datasets and communicate insights clearly to both technical and non-technical audiences
Preferred Qualifications
Experience with cloud data platforms (AWS, Azure, or GCP)
Familiarity with version control tools (Git) and CI/CD concepts for analytics workflows
Exposure to data governance, metric standardization, and semantic layers
Prior experience in enterprise-scale data platforms or COE environments
What Success Looks Like
Trusted, accurate dashboards and datasets used across multiple business teams
Efficient, well-documented SQL and Python code that scales with data growth
Strong partnership with engineering and business stakeholders to deliver timely insights
Proactive identification and resolution of data quality and performance issues
$71k-107k yearly est. 5d ago
Data Analyst Intern (Summer 2026)
Okta 4.3
Data science internship job in San Francisco, CA
Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We're building a world where Identity belongs to you.
Location
We're seeking a dynamic and motivated contributor to join our team in one of our key office locations: San Francisco.
About the Internship
We are looking for a Data Analyst who has a passion for storytelling with data. You will be successful if you are detail-oriented, like solving big problems, understand technical systems, and can effectively communicate with team members and business partners. In this role, you will be key in creating the foundation for data-based decision-making across Okta's functional business teams and will work with internal customers to identify ways to effectively leverage data using cutting edge cloud and big data technologies to drive business insights.
What You'll Get To Do
Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics and insights solutions
Document in-depth business requirements
Identify trends and key drivers of metrics to unveil insights
Provide support to stakeholders, investigate data issues, and create ad hoc reports and/or dashboards
Answer complex business questions with data through investigation and data forensics
Develop report and dashboard prototypes
Work with the team to define, implement, and test new data sources and transformations
Provide input to Data Engineering on requirements and enhancements to existing data pipelines, data sets, and data platforms
Conduct QA activities for new development and enhancements
Develop expertise in data modeling, transformation, and normalization
Develop expertise in visualization and storytelling with data best practices
Support new tool and technology assessments to improve stakeholder adoption
Proactively identify process improvements, standardize processes, and help ensure new processes become institutionalized
Who We Are Looking For
BS in CS, MIS, related technical degree and graduating in December 2026 or Spring 2027.
Interest in pursuing a career as a Data Analyst/Data Engineer/BI Developer
Hands-on SQL experience
Excellent communication skills, both written and verbal
Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools
Ability to work cross-functionally and communicate with technical and non-technical teams
Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, and Snowflake
Excellent time management and prioritization skills
Okta's Intern Program
As an intern, you'll do real work that matters. While you're on board, you'll work on meaningful projects and have an opportunity to see what working at Okta is all about. You'll also have the assistance of your mentor and manager to help you develop new skills.
Our interns have the opportunity to build a strong community - with their fellow interns, within their teams, and with the broader company. We want you to grow professionally and you'll do that through participating in events like our Executive Speaker Series and Brown Bags. And of course, we want you to have fun too.
We offer 12-week summer internships in the U.S. with two available start dates. You may choose from the following options: May 26 - August 14 or June 15 - September 4.
LI-Hybrid
SRC - Data Analyst Intern (Summer 2026)
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: ****************************
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $32-$32 USD
What you can look forward to as a Full-Time Okta employee!
Amazing Benefits
Making Social Impact
Developing Talent and Fostering Connection + Community at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! **************************************
Some roles may require travel to one of our office locations for in-person onboarding.
Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at *********************************************
$88k-127k yearly est. Auto-Apply 3d ago
Jr. Data Analyst
Artech Information System 4.8
Data science internship job in Walnut Creek, CA
Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost.
Job Description
Position: Jr. Data Analyst
Duration: 12+ Months
Location: Walnut Creek, CA
Interview Type: In-person
The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation.
Education
:
Bachelor's Required
Minimum number of years of experience required:
4 years
Top 3 - 5 Daily responsibilities
·
Gather report requirements from key stakeholders and manage their expectations accordingly
·
Develop and delivery new reporting capabilities, including ad-hoc requests
·
Provide coherent data analysis thru clear and concise dashboards
·
Design and develop end-to-end ETLs based on business needs
Top 3 - 5 Required Skills
·
Six months to a year experience with Tableau Desktop
·
4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc)
·
4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding)
·
MS Excel high level of proficiency
Desired skills
·
Basic knowledge of Microsoft Windows Server 2008 R2
·
Some basic experience on Microsoft SharePoint 2013
·
Previous hands-on experience building reports out of BMC Remedy data base / data mart
Soft Skills
·
Ability to work on a team and work towards team goals
·
Comfortable working on a virtual team
·
Good listening skills: Ability to work with others to solicit and understand business requirements
·
A track record of innovation / accomplishments
Additional Information
For more information, Please contact
Shubham Rastogi
**************
*********************************
$55k-77k yearly est. Easy Apply 1d ago
Data Analyst Junior and Mid
Remote Career 4.1
Data science internship job in San Francisco, CA
Expertise in SQL skills to profile the data.
Analyse, Profile and systematically present the data for Business and management team understanding.
ETL development and Data Migration tasks
Interpreting the functional aspect of data & reporting aspect of data.
Present the data to business and the consumers of the data which qualifies the scope and highlight gaps/issues on data from Source.
Identifying patterns and trends in data sets
Working alongside teams within the business, Solution team or the Technical team to establish business needs.
Documenting the data mapping rules for migration.
Skills and experience
Skills-
1+ years of experience in Data Analysis & Development experience Junior role
3+ years of experience in Data Analysis & Development experience Mid role
Have solid consulting ability across SSIS, SSRS, and expert in data profiling/analysis, SQL, and data deduplication/cleansing processes
Strong Problem-Solving Skills Ability to analyze and critically evaluate gathered information to resolve conflicts, anticipate issues and make priority decisions.
You will have ideally worked within a client-facing capacity, with the interpersonal and communication skills to manage and influence key relationships with stakeholders.
Experience in Health Cover and insurance domain desirable not mandatory.
Qualification-
Relevant degree in IT industry
Certification in Relevant Technologies
$65k-93k yearly est. 60d+ ago
Data Analytics Intern
Retailcloud
Data science internship job in Concord, CA
retailcloud is an omnichannel commerce platform that provides sports and entertainment merchants the ability to easily manage their orders, inventory, customers, and other related tasks while providing them with actional analytics to improve operational efficiencies. We are the proud partner of over 30 professional sports teams and work closely to utilize our 30+ homegrown application and range of out of the box integrations to build a tailored solution to meet the customers needs.
Position Overview:
retailcloud is seeking a Data Anyltics Intern to work with large and complex datasets and turn them into clear insights and visualizations. We are looking to utilize our data and technology to transform a retailers data into actionable analytics for the retailer. The ideal candidate will have 1 -3 years experience in a prior data analytics role. This role will require to create and improve our analytics dashboards to support our retailers operations.
Responsibilities:
· Demonstrated ability to work with large and complex datasets.
· Strong written and verbal communication skills to explain findings to decision -makers who are not business analysts or data analysis experts.
· Demonstrated ability to independently determine and apply the most appropriate mathematical and statistical techniques to interpret data into meaningful insights and conclusions.
· Tech -savvy, particularly when it comes to data mining and cleansing.
· High attention to detail as it relates to data integrity and organization.
· Willingness to take on multiple departmental responsibilities and multitask.
· Ability to organize and create catalogs for large streams of data collected.
· Project organization and management.
Qualifications and Experience
· Bachelor's degree or equivalent industry experience preferred.
· 1 -3 years experience in a data analytics/science role, ideally from a SaaS/ERP/API company
· Ideally worked in a start -up environment
· Highly organized
Compensation:
Base salary of $60,000 -$70,000 with PTO and full medical benefits
$60k-70k yearly 60d+ ago
Intern, Analyst, Global Quality Strategy and Business Operations
Biomarin Pharmaceutical 4.6
Data science internship job in Novato, CA
Description Who We Are BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health. Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities.
Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options.
About Technical Operations
BioMarin's Technical Operations group is responsible for creating our drugs for use in clinical trials and for scaling production of those drugs for the commercial market. These engineers, technicians, scientists and support staff build and maintain BioMarin's cutting-edge manufacturing processes and sites, provide quality assurance and quality control to ensure we meet regulatory standards, and procure the needed goods and services to support manufacturing and coordinating the worldwide movement of our drugs to patients.
SUMMARY:The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects. We are seeking a high-caliber Strategy and Business Operations Intern to support strategic analysis and operating model clarity within a Global Quality Organization. This role works closely with Global Quality Senior Leadership and will enable stronger enterprise-wide decision making. This is a thinking-heavy role. The ideal candidate is comfortable with ambiguity, enjoys structured problem-solving, and can translate analysis into executive-ready outputs. Candidates may be asked to complete a short analytical exercise (case study) as part of the interview process. JOB DESCRIPTION/PROJECT:
Strategic Analysis and Modeling
Support the development of financial and capacity models for Quality Control laboratories to assess current-state network capabilities and constraints over the 10-year forecast
Analyze cost drivers, capacity bottlenecks, and scaling dynamics to inform strategic planning
Partner with Finance to build directional, decision-supporting models rather than precision accounting tools
Operating Model & Governance Mapping and Assessment
Help document decision-making governance within the Global Quality Organization
Map key decisions, forums, ownership, and escalation paths in supporting of embedding Decision Done Right (DAI) decision making model
Identify areas of overlap, friction, or ambiguity in existing governance structures
Required Skills:
Strong analytical and problem-structuring skills
Excellent written communication, able to synthesize information and communicate clearly and concisely.
Strong working knowledge of Excel (models, pivots, scenario analysis)
Comfortable working with incomplete information and evolving scope
Highly organized, self-directed, and intellectually curious
Sound judgement, discretion and follow-through
Desired Skills:
Experience with financial modelling
Qualifications/Eligibility:
Master's Candidate pursuing a degree in economics, engineering, life sciences or related field or MBA Candidate.
Must be available to work full time, 40 hours a week.
Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program.
Must be able to relocate if necessary and work at the designated site for the duration of the internship for on-site, hybrid roles.
Benefits of a BioMarin Internship:
Paid hourly wage, paid company holidays, and sick time
Apply skills and knowledge learned in the classroom to on-the-job experiences
Comprehensive, value-added project(s)
Develop skills specific to your major.
Opportunities for professional development by building relationships and learning about other parts of the business.
Participate in company all hands meetings, monthly community lunches
Corporate office amenities such as: 24/7 on-site gym, coffee truck, snacks
Access to Employee Resource Groups
Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.
Equal Opportunity Employer/Veterans/Disabled
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, or protected veteran status and will not be discriminated against on the basis of disability. In the U.S., the salary range for this position is $ 32 to $ 50 per hour, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.
$32-50 hourly Auto-Apply 16d ago
Data Analyst Intern
All Florida Fire Prevention
Data science internship job in Oakland, CA
As a Data Analyst Intern, you will be responsible for collecting, organizing, and analyzing large datasets to derive meaningful insights and provide strategic recommendations to our investment team. You will work closely with senior analysts and investment professionals to identify trends, evaluate market opportunities, and assess the performance of potential and existing investments. This internship will provide a unique opportunity to learn about the venture capital and private equity industry while developing foundational skills in data analysis and investment evaluation.
Responsibilities
Collect, clean, and organize large datasets for analysis
Perform quantitative and qualitative analysis to identify trends and patterns
Support investment team in evaluating potential investment opportunities
Assist with financial modeling and forecasting
Conduct market research to identify industry trends and competitive landscapes
Create and maintain databases and analytical tools
Prepare reports and presentations for senior management and investors
Requirements
Strong analytical and problem-solving skills
Proficiency in Excel and data analysis tools such as Python or R
Excellent attention to detail and ability to work with large datasets
Strong verbal and written communication skills
Ability to work independently and within a team
Self-motivated and eager to learn about venture capital and private equity
$37k-59k yearly est. 60d+ ago
EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Director
Ernst & Young Oman 4.7
Data science internship job in San Francisco, CA
Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity
EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity.
With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence.
Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients.
Your key responsibilities
The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands‑on experience solving some of the most interesting and mission‑critical business questions with data.
Skills and attributes for success
Lead ingestion and ETL design for structured and semi‑structured data (CSV, JSON, APIs, Flat Files).
Understand schema, data quality, and transformation logic for multiple sources on a client‑by‑client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs.
Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data).
Build data access layers optimized for ML (feature stores, event streams, vector stores).
Define and enforce standards for data provenance, quality checks, logging, and version control.
Partner with AI/ML and Platform teams to ensure data is ML‑ and privacy‑ready (HIPAA, SOC2, etc.).
To qualify for the role you must have
A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
Experience in data engineering or hybrid datascience roles focused on pipeline scalability and schema management.
Expertise in cloud‑native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake).
Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt).
Experience with merging and reconciling third‑party data (public APIs, vendor flat files, dashboards).
Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use.
Basic understanding of ML/feature pipelines and downstream modeling needs.
The ability and willingness to travel and work in excess of standard hours when necessary.
Ideally, you will have
Experience working in a startup and/or management/strategy consulting.
Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
Collaborative, problem‑solving, and growth‑oriented mindset.
What we look for
We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the DataScience and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
What we offer you
At EY, we'll develop you with future‑focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .
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$205k-235k yearly 5d ago
Staff Data Scientist - Sales Analytics
Harnham
Data science internship job in San Francisco, CA
Salary: $200-250k base + RSUs
This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.
About the Role
As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.
Key Responsibilities
Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.
About You
Experience: 6+ years in datascience or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.
$200k-250k yearly 3d ago
Data Scientist
Everfit 3.8
Data science internship job in San Francisco, CA
Data Scientist Everfit | Hybrid, San Francisco Bay Area
Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and Millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights.
About the Role
We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform.
What You'll Do
Product Analytics & User Insights
Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success.
Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization.
Identify opportunities to improve onboarding, engagement, and coach-client interactions.
Experimentation & A/B Testing
Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation.
Strategic Impact & Roadmapping
Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes.
Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions.
Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams.
Technical Foundations
Partner with data engineering to improve pipelines and instrumentation.
Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms.
Marketing Analytics & Optimization
Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion.
Partner with marketing and growth teams to design and evaluate campaign experiments
What We're Looking For
4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company
Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets
Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar)
Understanding of SaaS metrics and cohort analysis
Experience with translating numerical findings into clear insights for non-technical team members
Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world)
Bonus Points:
Experience with Python or R for statistical analysis
Experience in a PLG (Product-Led Growth) environment
Experience working at a company during a hypergrowth phase
Background in fitness, health, wellness, or coaching industries
You'll thrive here if you:
Are naturally curious and love asking "why" until you find the answer
Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling
Enjoy collaborating with global teams and making complex topics understandable
Are comfortable with ambiguity and can structure your own work
Care deeply about the impact your insights have on real coaches and their clients
Why Join Everfit
Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world
Work with autonomy and ownership on high-impact projects
Join a collaborative, global team with experience from leading tech and fitness companies
Enjoy competitive salary, equity, and performance bonuses
Build something meaningful that helps people live better, healthier lives
Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status.
Ready to dive into data in the fitness intelligence space? We'd love to hear from you.
$123k-169k yearly est. 5d ago
Jr. Data Analyst
Artech Information System 4.8
Data science internship job in Walnut Creek, CA
Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost.
Job Description
Position: Jr. Data Analyst
Duration: 12+ Months
Location: Walnut Creek, CA
Interview Type: In-person
The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation.
Education: Bachelor's Required
Minimum number of years of experience required: 4 years
Top 3 - 5 Daily responsibilities
· Gather report requirements from key stakeholders and manage their expectations accordingly
· Develop and delivery new reporting capabilities, including ad-hoc requests
· Provide coherent data analysis thru clear and concise dashboards
· Design and develop end-to-end ETLs based on business needs
Top 3 - 5 Required Skills
· Six months to a year experience with Tableau Desktop
· 4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc)
· 4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding)
· MS Excel high level of proficiency
Desired skills
· Basic knowledge of Microsoft Windows Server 2008 R2
· Some basic experience on Microsoft SharePoint 2013
· Previous hands-on experience building reports out of BMC Remedy data base / data mart
Soft Skills
· Ability to work on a team and work towards team goals
· Comfortable working on a virtual team
· Good listening skills: Ability to work with others to solicit and understand business requirements
· A track record of innovation / accomplishments
Additional Information
For more information, Please contact
Shubham Rastogi
**************
*********************************
$55k-77k yearly est. Easy Apply 60d+ ago
Intern, Data Scientist
Biomarin Pharmaceutical 4.6
Data science internship job in Novato, CA
Description Who We Are BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health.Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities. Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options. About Technical Operations BioMarin's Technical Operations group is responsible for creating our drugs for use in clinical trials and for scaling production of those drugs for the commercial market. These engineers, technicians, scientists and support staff build and maintain BioMarin's cutting-edge manufacturing processes and sites, provide quality assurance and quality control to ensure we meet regulatory standards, and procure the needed goods and services to support manufacturing and coordinating the worldwide movement of our drugs to patients.SUMMARY:The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the Environmental Monitoring (EM) Data Trending and reporting at BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects. The Quality Control Microbiology team is accountable for all Environmental Monitoring Data collection (sampling, plates examination and report results) of pharmaceutical manufacturing facilities as well as trending of generated data for the Novato site. The team also performs testing of raw materials, in-process materials and formulated drug substances. Additional non-routine tests include qualification of quality control media, testing of biological indicators, testing of cleaning validation and verifications samples, laboratory equipment qualification. We operate two data systems: MODA for environmental monitoring and LIMS for samples associated with processes JOB DESCRIPTION/PROJECT:
This role provides the opportunity to gain insight into the Environmental Monitoring Trending aspect of GMP manufacturing. Areas of involvement include the following:
Exploring the use of advanced tools like artificial intelligence to transform trending processes
Design appropriate AI agent to allow for the consistency and efficiency in EM Trend Reports generation
Partner with cross-functional teams and create to qualify AI agent to deliver consistent results
Interpret 21CFR, USP, EP, JP and ICH regulatory guidelines and directives
Required Skills:
Proficient computer skills and working knowledge of Microsoft Office (Word, Excel, Powerpoint, Outlook)
Understanding and ability to work with various AI platforms and build AI agents
Understands Machine Learning, Generative AI, Open, AI
Excellent interpersonal, written, and verbal communication skills
Strong organizational skills with ability to prioritize and manage tasks
Ability to work independently and collaboratively
Desired Skills:
Competency with statistical analysis tools such as Excel, Power BI, as well as artificial intelligence tools a plus
Interest in pursuing a career in the pharmaceutical/biotech industry
Effective project management skills are a plus
Qualifications/Eligibility:
Student pursuing a Bachelor's degree in a scientific discipline or related field
Must be available to work full-time, 40 hours a week.
Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program.
Must be able to relocate if necessary and work at the designated site for the duration of the internship for on-site, hybrid roles.
Benefits of a BioMarin Internship:
Paid hourly wage, paid company holidays, and sick time
Apply skills and knowledge learned in the classroom to on-the-job experiences
Comprehensive, value-added project(s)
Develop skills specific to your major.
Opportunities for professional development by building relationships and learning about other parts of the business.
Participate in company all hands meetings, monthly community lunches
Corporate office amenities such as: 24/7 on-site gym, coffee truck, snacks
Access to Employee Resource Groups
Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.
Equal Opportunity Employer/Veterans/Disabled
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, or protected veteran status and will not be discriminated against on the basis of disability. In the U.S., the salary range for this position is $24 to $27 per hour, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.
$24-27 hourly Auto-Apply 14d ago
Business Systems Analyst Intern (Summer 2026)
Okta 4.3
Data science internship job in San Francisco, CA
Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We're building a world where Identity belongs to you.
Location
We're seeking a dynamic and motivated contributor to join our team in one of our key office locations: San Francisco.
About the Internship
Okta is looking for a motivated and enthusiastic Business Systems Analyst Intern to help us support our core business and Human Resources systems. As a Business Systems Analyst Intern you will gain hands-on experience in HR systems by supporting various projects and initiatives within Okta. This internship offers an opportunity to develop skills in Workday, Greenhouse, Cornerstone Ondemand, and contribute to the success of our team. This role will assist other core business systems analysts across IT for strategic and business as usual projects.
What You'll Get To Do
Assist with day-to-day tasks and projects as assigned by senior team members.
Monitor ServiceNow queue, triage requests, and daily transaction processing.
Assist in system configuration, reporting, troubleshooting, and overall administration of our Human Resource systems.
Assist in the creation of presentations, reports, and other materials.
Attend meetings and take detailed notes for reference and follow-up.
Collaborate with team members to brainstorm ideas and contribute to project discussions, documentation of processes as needed to achieve project goals and deadlines.
Partner with senior team members to support Business and Systems analysis work in areas of defined scope and specific business processes and use established processes to support analysis and output documentation.
Develop understanding for current processes, pain points, and assumptions for business systems and continuously identify gaps and opportunities for automation projects that will streamline processes.
Support implementation, test plans, and configuration tasks to support successful deployment of strategic and business as usual projects.
Partner with People Operations on troubleshooting transactions, process improvements, and documentation.
Collaborate with cross functional teams including HR, Finance, IT, Payroll, and business managers.
Who We Are Looking For
Currently enrolled in a Bachelor's or Master's degree program, preferably in Business. Administration, Human Resources, Information Systems, Computer Science, or related areas and graduating in December 2026 or Spring 2027.
Basic understanding of cloud-based applications, data structures, and reporting; exposure to Workday, Greenhouse, Cornerstone Ondemand or similar HRIS is a plus.
Desire to pursue a systems-based career.
Strong communication and interpersonal skills.
Excellent organizational skills and attention to detail.
Problem solving and solution mindset.
Ability to work independently and collaboratively in a fast-paced environment.
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
A positive attitude and willingness to learn.
Have a solid analytical mindset, excellent interpersonal communications, diligent time management skills, be team-oriented and have a strong work ethic.
General Human Resource processes knowledge preferred.
Okta's Intern Program
As an intern, you'll do real work that matters. While you're on board, you'll work on meaningful projects and have an opportunity to see what working at Okta is all about. You'll also have the assistance of your mentor and manager to help you develop new skills.
Our interns have the opportunity to build a strong community - with their fellow interns, within their teams, and with the broader company. We want you to grow professionally and you'll do that through participating in events like our Executive Speaker Series and Brown Bags. And of course, we want you to have fun too.
We offer 12-week summer internships in the U.S. with two available start dates. You may choose from the following options: May 26 - August 14 or June 15-September 4.
#LI-Hybrid
P24319_3343443
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: ****************************
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $32-$32 USD
What you can look forward to as a Full-Time Okta employee!
Amazing Benefits
Making Social Impact
Developing Talent and Fostering Connection + Community at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! **************************************
Some roles may require travel to one of our office locations for in-person onboarding.
Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at *********************************************
How much does a data science internship earn in Napa, CA?
The average data science internship in Napa, CA earns between $37,000 and $135,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.
Average data science internship salary in Napa, CA