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
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 Santa Rosa, 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
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 Science Intern
Mercor
Data science internship job in San Francisco, CA
Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.
About the Role
As a DataScience Intern at Mercor, you'll join a fast-moving, metrics-driven engineering team that powers critical decisions across the company. You'll analyze data that directly impacts ranking, hiring efficiency, candidate experience, and revenue. From day one, you'll work with real datasets, ship insights used by product and engineering, and prototype models that improve how we match talent to AI companies.
You'll work closely with engineers, PMs, and leadership, designing experiments, evaluating LLM-powered systems, and building the foundations of data integrity and visibility across the platform. You'll move quickly while maintaining a high bar for analytical rigor, clarity, and statistical correctness.
At the end of the process, you'll be team-matched to where you can have the most impact, on one of the following:
Talent platform analytics - improving match quality, ranking, time-to-hire, and marketplace efficiency through experimentation and modeling.
Applied AI/human data insights - partnering with leading AI labs (OpenAI, Anthropic, Google) to design evaluation rubrics, run human-in-the-loop studies, and understand how experts shape post-training data for frontier models.
What You'll Work On
As an intern, you'll take on projects such as:
Defining north-star metrics and feature-level KPIs for ranking, interview analytics, and payouts systems.
Designing and running A/B tests and quasi-experiments; translating results into product decisions within days.
Building dashboards and lightweight data models that empower teams to self-serve insights.
Instrumenting events with engineers and improving data quality, observability, and latency.
Prototyping models (from baselines to gradient boosting) to improve matching and scoring systems.
Evaluating LLM-powered agents through rubric design, human-in-the-loop experiments, and guardrail canary testing.
What We're Looking For
Pursuing a degree in a quantitative field (graduating 2025-2027).
Strong fundamentals in statistics, SQL, and Python.
Experience with experiment design, causal reasoning, and data analysis.
Ability to communicate clearly with engineers, product managers, and leadership.
Curiosity about LLM evaluation, retrieval, ranking, or marketplace dynamics (a plus).
Excited to work in person and thrive in a fast-paced environment.
Nice-to-haves: experience with dbt, dashboarding tools, recommendation/search metrics, or LLM/agent evaluation.
Why Mercor
Impact: Your work powers how AI labs train and deploy their models
Learning: Get early exposure to frontier AI research and engineering
Growth: Work with a high-velocity team where interns ship to production
Benefits
Competitive internship stipend.
Mentorship from experienced engineers.
Work on real, high-impact projects.
$1K monthly stipend for meals
Free Equinox membership
Team events and offsites.
Potential full-time return offer.
$51k-102k yearly est. Auto-Apply 55d ago
Principal Data Scientist : Product to Market (P2M) Optimization
The Gap 4.4
Data science internship job in San Francisco, CA
About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.
This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team.
About the Role
Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and datascience initiatives spanning pricing, inventory, and assortment optimization.
The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels.
What You'll Do
* Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges.
* Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals.
* Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment.
* Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility.
* Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly.
* Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights.
* Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success.
* Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value
* Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP.
* Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality.
Who You Are
* Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline.
* 10+ years of experience developing, deploying, and scaling optimization and datascience solutions in retail, supply chain, or similar complex domains.
* Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes.
* Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation.
* Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib.
* Hands-on experience with enterprise platforms such as Databricks and cloud environments
* Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions.
* Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences.
* Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations.
* Experience managing code quality, CI/CD pipelines, and GitHub-based workflows.
Preferred Qualifications
* Experience shaping and executing multi-year analytics strategies in retail or supply chain domains.
* Proven ability to balance long-term innovation with short-term deliverables.
* Background in agile product development and stakeholder alignment for enterprise-scale initiatives.
Benefits at Gap Inc.
* Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
* One of the most competitive Paid Time Off plans in the industry.*
* Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.*
* Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.*
* Employee stock purchase plan.*
* Medical, dental, vision and life insurance.*
* See more of the benefits we offer.
* For eligible employees
Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.
Salary Range: $201,700 - $267,300 USD
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
$201.7k-267.3k yearly 57d 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)
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 11h 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 Inc. 4.6
Data science internship job in Novato, CA
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 7d ago
Research, Pre-Training Data
Thinking MacHines Lab
Data science internship job in San Francisco, CA
Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.
About the Role
The role of pre-training researchers sits at the core of our roadmap. This work blends research with large-scale data engineering to help assemble the pre-training datasets and data systems that underpin the next generation of AI models. You'll design and implement methods for sourcing, curating, and analyzing pre-training data for quality and performance.
You'll work with automated pipelines and human-in-the-loop processes, contributing both scientific insight and production-grade code. It's ideal for someone who enjoys working at the intersection of data, machine learning, and systems, and who's excited by the challenge of shaping frontier AI.
This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports. It's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns.
Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.
What You'll Do
Design and implement techniques for curating, sourcing, and filtering large-scale text, code, and multimodal data.
Develop data quality metrics and analysis to measure coverage, diversity, and representativeness across sources.
Collaborate with research and infrastructure teams to scale data processing systems efficiently and reproducibly.
Investigate and mitigate data risks, including privacy, safety, and licensing concerns, to ensure responsible and ethical data use.
Continuously evaluate dataset improvements by analyzing their downstream effects on model learning and behavior.
Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia.
Skills and Qualifications
Minimum qualifications:
Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales.
Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
Clarity in communication, an ability to explain complex technical concepts in writing.
Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some:
A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs.
Experience with curation, preprocessing, and analysis of large-scale text, code, or multimodal datasets.
Prior experience in data engineering, dataset construction, or large-scale web data processing for machine learning models.
Experience evaluating or improving training data quality and knowledge of data ethics, safety, and licensing frameworks relevant to AI dataset creation.
Contributions to open datasets, research publications, or data tooling.
PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience.
Logistics
Location: This role is based in San Francisco, California.
Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
$58k-87k yearly est. Auto-Apply 59d ago
Healthcare Research Data Annotator
Labelbox 4.3
Data science internship job in San Francisco, CA
Remote-first labeling and verification of research datasets, localized to Chicago. This role requires careful judgment, consistent annotation quality, and attention to detail in complex datasets.
$59k-85k yearly est. Auto-Apply 44d ago
Data Scientist Intern
Brilent
Data science internship job in San Mateo, CA
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and datascience experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft.
Job Description
As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers.
Responsibilities
Perform large-scale data analysis, find interesting patterns and translate them into product improvements
Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
Develop data infrastructure and improve data collection and processing tools and techniques
Qualifications
Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred
Proficient in SQL and able to write complex SQL queries
Experience with scripting languages such as Java and Python
Excellent problem-solving and analytical skills
Curious and creative about data, and comfort with ambiguity
Additional Information
We offer competitive salaries, meals, snacks, etc.
$37k-60k yearly est. 60d+ 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
Staff Data Scientist - Experimentation & Measurement
Playstation 4.8
Data science internship job in San Mateo, CA
Why PlayStation?
PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.
Staff Data Scientist - Experimentation & Measurement
San Mateo, CA (Hybrid)
Overview:
As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products.
What You'll Be Doing:
Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible.
Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership.
Mentor and guide other Data Scientists, providing thought leadership and technical direction.
Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication.
Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company.
Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools.
Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity.
Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work.
Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem.
Basic Requirements:
Master's or PhD in Statistics, Economics, or Econometrics.
6+ years of experience in a datascience experimentation/causal inference-focused role (4+ with PhD).
Deep expertise in A/B testing and causal inference, including quasi-experimental methods.
Proficiency in SQL and Python for data extraction, transformation, and analysis.
Broad and applied knowledge of statistical techniques.
Experience with machine learning modeling is a plus.
Proven ability to influence product and business decisions through clear, actionable insights.
Experience contributing to or developing experimentation frameworks, best practices, or internal tooling.
Bonus: Passion for video games, player communities, or the gaming industry.
#LI-KC
Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.
At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.
The estimated base pay range for this role is listed below.$212,200-$318,200 USD
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
$212.2k-318.2k yearly Auto-Apply 11d ago
Research Data Analyst 3 or 4 Oakland, CA, Job ID 80657
University of California Agriculture and Natural Resources 3.6
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.
#J-18808-Ljbffr
$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.
How much does a data science internship earn in Petaluma, CA?
The average data science internship in Petaluma, CA earns between $37,000 and $137,000 annually. This compares to the national average data science internship range of $24,000 to $73,000.
Average data science internship salary in Petaluma, CA