Data science internship jobs in Napa, CA

Staff Data Scientist | San Francisco | $250K-$300K + Equity We're partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they've secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI. In this role, you'll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance. What you'll do: Drive deep-dive analyses on user behavior, product performance, and growth drivers Design and interpret A/B tests to measure product impact at scale Build scalable data models, pipelines, and dashboards for company-wide use Partner with Product and Engineering to embed experimentation best practices Evaluate ML models, ensuring business relevance, performance, and trade-off clarity What we're looking for: 5+ years in data science or product analytics at scale (consumer or marketplace preferred) Advanced SQL and Python skills, with strong foundations in statistics and experimental design Proven record of designing, running, and analyzing large-scale experiments Ability to analyze and reason about ML models (classification, recommendation, LLMs) Strong communicator with a track record of influencing cross-functional teams If you're excited by the sound of this challenge- apply today and we'll be in touch.

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 data science 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.

VARITE is looking for a qualified Data Analyst - IV for one of its clients. WHAT THE CLIENT DOES? A U.S. based regional bank and financial services company that provides a wide range of banking products and services, including personal banking, business banking, mortgages, wealth management, and investment services. WHAT WE DO? Established in the Year 2000, VARITE is an award-winning minority business enterprise providing global consulting & staffing services to Fortune 1000 companies and government agencies. With 850+ global consultants, VARITE is committed to delivering excellence to its customers by leveraging its global experience and expertise in providing comprehensive scientific, engineering, technical, and non-technical staff augmentation and talent acquisition services. **Note: We only work on W2, we do not work on C2C/1099, we do not provide Visa sponsorship, kindly refrain from applying if you do not meet this criteria, thank you for understanding!** HERE'S WHAT YOU'LL DO: Job Title: Data Analyst - IV (USC/GC Only) Duration: 12 Months Pay Rate: $90-106/hr. on W2 Work Mode: Remote role Job Description Essential Responsibilities: • This is a hands-on role. Applicants should not be managers or architects. • Provide primary technical support to end user community for problems related to software, data issues, data communication and processing errors. • Monitor application, production and/or implementation support, both technical and user, for new releases. • Consult on application testing strategies, document observations and coordinate responses. • Maintain project and application information including schedule, system scope, requirements, and other pertinent documentation. Make recommendations to management regarding process improvements. Coordinate the information flow between business owners and development staff. Coordinate tasks, functional reviews and application development sessions between the development site and technical work groups ensuring steps are executed timely. • Document end-user interactions into the automated call logging tools for tracking and productivity purposes. • Validate proposed technical approaches to system or application problem logs and make recommendations for mediation to management. • Ability to perform involved, independent research and develop highly creative work products and proposals. • Demonstrate a high degree of creativity in addressing problems/issues and opportunities. • Demonstrated concentration on customer service orientation. • Ability to work effectively in a highly matrix or virtual organization. • Strong verbal and written communication skills with an ability to present/facilitate effective training sessions. • Strong experience in Agile delivery, requirements engineering, backlog development and refinement. • Strong experience in stakeholder engagement. • Experience working with distributed teams, and providers of software solutions. • Broad knowledge of application and data modelling techniques with the ability to identify root cause issues and appropriate solutions. • Strong experience working in Agile environment/SAFe framework and Agile management tools like Jira. • Excellent analytical and design skills. • CBAP, Agile Analysis Certification or similar certifications preferred. • Must be willing to be on call periodically from 8am-2pm ET or 2pm-8pm ET Monday through Friday. • Hands-on for performing technical analysis and troubleshooting on highly complex integrated systems, including diagnostic approaches, determining root causes, and identifying solutions on a data lake house hosted in a cloud environment utilizing technologies such as R, sparklyr, Databricks, Starburst, Collibra, Tableau, Python and/or Alteryx. Quals-- • Sr. Technical Analyst roles for one-year assignments to implement and manage data products, ensuring that our data pipelines are scalable, secure, and efficient. Requirements: Specific skill mixes we need from the tech stack: o Databricks AND (R or sparklyr) OR (Pyspark or Python) o Databricks AND (Starburst OR Tableau) o Databricks AND (Collibra OR Altreyx) HANDS-ON Experience for the following: • Databricks -Pyspark, Data Quality Framework, Building custom dashboards • R/SparklyR - as a data analyst • Pyspark/Python -with scripting and automation, performance tuning and debug capabilities • Starburst - as a data analyst or Starburst developer or support engineer • Collibra - as a Collibra developer or support engineer • Alteryx - as a developer or support engineer • Tableau - as a developer with performance tuning / debug capabilities • Immuta - As a security analyst. Must have good Role Based and Attribute Based Security knowledge.

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools

We're working with a Series A health tech start-up pioneering a revolutionary approach to healthcare AI, developing neurosymbolic systems that combine statistical learning with structured medical knowledge. Their technology is being adopted by leading health systems and insurers to enhance patient outcomes through advanced predictive analytics. We're seeking Machine Learning Engineers who excel at the intersection of data science, modeling, and software engineering. You'll design and implement models that extract insights from longitudinal healthcare data, balancing analytical rigor, interpretability, and scalability. This role offers a unique opportunity to tackle foundational modeling challenges in healthcare, where your contributions will directly influence clinical, actuarial, and policy decisions. Key Responsibilities Develop predictive models to forecast disease progression, healthcare utilization, and costs using temporal clinical data (claims, EHR, laboratory results, pharmacy records) Design interpretable and explainable ML solutions that earn the trust of clinicians, actuaries, and healthcare decision-makers Research and prototype innovative approaches leveraging both classical and modern machine learning techniques Build robust, scalable ML pipelines for training, validation, and deployment in distributed computing environments Collaborate cross-functionally with data engineers, clinicians, and product teams to ensure models address real-world healthcare needs Communicate findings and methodologies effectively through visualizations, documentation, and technical presentations Required Qualifications Strong foundation in statistical modeling, machine learning, or data science, with preference for experience in temporal or longitudinal data analysis Proficiency in Python and ML frameworks (PyTorch, JAX, NumPyro, PyMC, etc.) Proven track record of transitioning models from research prototypes to production systems Experience with probabilistic methods, survival analysis, or Bayesian inference (highly valued) Bonus Qualifications Experience working with clinical data and healthcare terminologies (ICD, CPT, SNOMED CT, LOINC) Background in actuarial modeling, claims forecasting, or risk adjustment methodologies

Emonics LLC is seeking an enthusiastic and motivated Entry-Level Machine Learning Engineer to join our growing data science team in Dallas, TX. The ideal candidate will have a foundational understanding of machine learning concepts, data analysis, and software development practices, with a strong desire to learn and grow within a dynamic and collaborative environment. Key Responsibilities Assist in developing, training, and deploying machine learning models and algorithms. Collaborate with data scientists and software engineers to collect, clean, and preprocess large datasets. Support the design and implementation of scalable data pipelines and ML workflows. Conduct model performance testing and optimize algorithms for accuracy and efficiency. Participate in code reviews, documentation, and version control practices. Stay up to date with emerging trends and tools in AI, ML, and data engineering. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Basic knowledge of machine learning concepts (supervised, unsupervised learning, etc.). Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Understanding of data manipulation and analysis using Pandas, NumPy, or SQL. Strong analytical, problem-solving, and communication skills. Eagerness to learn new technologies and contribute to a team environment. Preferred Qualifications Exposure to cloud platforms (AWS, Azure, or GCP). Experience with version control systems (Git/GitHub). Knowledge of data visualization tools (Matplotlib, Seaborn, or Power BI). Internship or project experience in data science or machine learning. What We Offer Competitive entry-level salary and comprehensive benefits package. Professional development and mentorship opportunities. Collaborative and innovative work environment. Opportunities to work on real-world AI and ML projects that make an impact. How to Apply Interested candidates can apply by submitting their resume and a brief cover letter highlighting relevant coursework, projects, or experience to:

Title: Data Scientist Duration: Long Term contract Remote • A minimum of 5+ years of industry experience in business analytics with an emphasis on Trust & safety product and operations scalability; and on developing business facing metrics and solving future business decisions. Have experience on a trust and safety team and/or have worked closely with policy, content moderation, or security teams • Expert skills in SQL and expert in at least one programming language for data analysis (Python or R) •Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting •Experience in schema design and high-dimensional data modeling (ETL framework like Airflow) •Demonstrated ability to create and drive product roadmaps for the business, then seamlessly execute against them • Proven ability to tailor your recommended solutions to business problems to a cross functional team, with the ability to communicate clearly and effectively with cross functional partners of varying technical levels • Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions. • Absolute ability to maintain confidentiality and objectivity Thanks & Regards ... G Naveen Kumar Email : ********************* Surya Systems, Inc

An early-stage investment of ours is looking to make their first IC hire in data science. This company builds tools that help teams understand how their AI systems perform and improve them over time (and they already have a lot of enterprise customers). We're looking for a Sr Data Scientist to lead analytics for sales, marketing, and customer success. The job is about finding insights in data, running analyses and experiments, and helping the business make better decisions. Responsibilities: Analyze data to improve how the company finds, converts, and supports customers Create models that predict lead quality, conversion, and customer value Build clear dashboards and reports for leadership Work with teams across the company to answer key questions Take initiative, communicate clearly, and dig into data to solve problems Try new methods and tools to keep improving the company's GTM approach Qualifications: 5+ years related industry experience working with data and supporting business teams. Solid experience analyzing GTM or revenue-related data Strong skills in SQL and modern analytics tools (Snowflake, Hex, dbt etc.) Comfortable owning data workflows-from cleaning and modeling to presenting insights. Able to work independently, prioritize well, and move projects forward without much direction Clear thinker and communicator who can turn data into actionable recommendations Adaptable and willing to learn new methods in a fast-paced environment About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* How We Work: We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately. Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments. Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

Please review the below sections, especially the "how to apply" section, to complete your application and be considered for this position! Title: Air Quality Data Analyst Salary: $36/hr-$45/hour-salary commensurate with experience Job Type: Part-time, Temporary Benefits: Sick leave accrual Duration of Appointment: Est. 2 months from start date Location/Schedule: Hybrid, with potential for remote. For remote consideration, the individual must be California-based and able to be on site for their first day; Estimate 10 hours/week About the Position: This role is a part-time, temporary position (10 hours/week) that will help assist with our air quality data work in the areas identified below. Air Quality Data Work with the Program Manager to provide support in bridging the technical components of our air quality data work and helping to translate that information for the general public and community members, including into written materials, presentations, and reports Evolve Brightline's air quality program to the next generation and help prepare for us for the next level of grantmaking. Review and assess our current air quality data and network to identify opportunities for expansion or new directions, as well as any gaps, and communicate those findings to the team. This includes researching other air quality data programs and materials and providing written recommendations/report. Collaborate with Brightline staff, partners and volunteers who are working on analyzing our air quality data. Participate in meetings related to our air quality work, including with vendors and other key partners. Drafts, reviews and analyzes air quality data and other documents; conducts inquiries, compiles and researches information. Additional program support as needed-could include supporting site visits, off site community meetings, air quality sensor network maintenance, etc. General Support: Provide grant support including with any progress report deliverables, looking for documentation, helping to track deadlines, follow up with partners, etc. Assist Brightline team members with other projects as needed Required Qualifications, Skills, and Abilities: 3-5 years of related experience, including some direct work with environmental mapping Experience with utilizing ArcGIS Experience with R, modeling or other coding languages Familiarity utilizing Google Suite, Canva (or other design software) Strong interpersonal, written and oral communication skills Ability to work with data and identify trends and areas where further data points or analysis are needed Ability to translate and bridge the technical components of the data analysis and findings to those not in the field, including individuals in the community Ability to collaborate with multiple stakeholders and take and incorporate feedback/input Outstanding relationship-building skills, as well as ability to adapt communication style Must demonstrate strong organizational skills, ability to adapt and must be detail oriented. Desire to learn more about Brightline's work Passion for working in environmental justice Desire to work with diverse communities and neighborhoods in San Francisco Preferred Skills & Qualifications Masters or PhD in related field Experience with Tableau or other data visualization software Experience with website coding Spanish, Cantonese, or Arabic language skills Experience working with community-based organizations and or low-income communities How to Apply Please email a short cover letter, resume, and three references (preferably direct supervisors and include e-mail and a phone number for each) to ************************** with the subject line “Air Quality Data Analyst Application - [Your Name].” Applications will be reviewed on a rolling basis, with first round of interviews occurring the week of December 1, 2025, until the position is filled.

We're seeking a Data Analyst for our Transportation department to support our dynamic and growing transportation ecosystem. This role focuses on managing backend platforms, ensuring data integrity, supporting compliance, and enhancing the commuting experience for employees. Responsibilities: Provide operational support across transportation and mobility systems, ensuring day-to-day functionality, accuracy, and alignment with program policies. Generate recurring ridership, parking, and usage reports (e.g., PPPM, occupancy dashboards) Monitor and triage inquiries submitted through internal support channels (email, Slack, JIRA, etc.), escalating as needed to appropriate teams. Generate recurring utilization, ridership, parking, and usage reports Support documentation of operational workflows and partner playbooks Collaborate with field leads and workplace teams to ensure systems are functioning correctly Required Skills: 2+ years of experience in an Analyst or Analytical role Familiarity with enterprise platforms Excellent analytical & data skills Intermediate Excel skills (Pivot Tables, VLOOKUP, simple modeling) Excellent organizational and documentation skills Quick learner with high discretion, able to handle sensitive operational issues (e.g., parking equity, ride disputes, billing escalations) with professionalism and limited supervision. Preferred Qualifications: Experience with budgeting or contract tracking tools Background in workplace operations, facilities management, or mobility-related programs, with an understanding of cross-functional coordination. Familiarity with transportation-related compliance frameworks, such as commuter benefit policies, fringe benefit taxation, or regional mobility regulations. Pay Rate: $28-$32.50 ** Onsite expectations are 5 days a week in our San Francisco office

Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the Software Integration Team Are you excited about learning how complex software systems come together to power real-world autonomy? At Zipline, we operate the world's largest autonomous delivery network, and our Software Integration team plays a critical role in making sure the software that flies our aircraft works reliably and safely in the real world. As a Software Integration Intern, you'll get hands-on experience at the intersection of robotics, embedded software, and systems engineering. Our team doesn't just write code-we bring together planning, perception, and controls software, and make sure all of it works smoothly on the aircraft, in simulation, and in real operations. You'll help test and integrate features that affect how our autonomous aircraft fly, adapt routes, and respond to unexpected situations. That means working with simulation tools, flight telemetry, and testing infrastructure to ensure new software behaves the way it should before it ever goes into the sky. This internship is a chance to learn how large, safety-critical autonomy systems are built and scaled, while contributing to technology that directly impacts communities around the world. The Role We are seeking a Data Science Intern with an interest in applying technical and engineering skills to real-world problems. The ideal candidate is eager to learn how to use data science and programming to support hardware systems integration and engineering projects. This internship provides the opportunity to work with large datasets, gain exposure to modern data tools, and apply engineering principles to create actionable insights. Familiarity with Python, SQL, and basic software development is helpful, but a strong willingness to learn is most important. What You'll Do Data Analysis & Modeling: Assist in analyzing datasets from engineering systems, vehicle sensors, and other sources to uncover patterns and support predictive modeling efforts. Data Visualization: Help design clear and visually appealing charts and dashboards using tools such as Matplotlib, Seaborn, Plotly, or Tableau to communicate findings. Dashboard Development: Contribute to the creation and maintenance of real-time dashboards that track key metrics and system performance. Data Engineering: Support data cleaning, preprocessing, and organization tasks to make datasets ready for analysis. Write simple SQL queries and learn how to work with databases. Machine Learning: Gain exposure to machine learning by assisting with model development and validation for autonomy applications Scientific Programming: Learn to apply scientific and engineering programming techniques to develop small data pipelines, automate processes, and run simulations. What You'll Bring Educational Background: Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, Electrical Engineering, Computer Science, or a related technical field. Technical Skills: Familiarity with Python for scientific programming (libraries such as NumPy, Pandas, SciPy, Plotly, etc.). Basic understanding of SQL for querying and working with data. Exposure to software development practices (version control with Git, debugging, documentation) is a plus. Mathematical & Analytical Skills: Coursework or experience with statistics, linear algebra, or numerical methods. Interest in applying engineering and data analysis to solve real-world problems. Problem-Solving: Curiosity and analytical thinking to approach technical challenges. Ability to learn how to frame engineering problems as data science problems. Communication Skills: Willingness to communicate findings clearly with technical and non-technical teammates. Strong written and verbal skills for documentation and presentations. Machine Learning & Data Modeling: Familiarity with machine learning concepts or frameworks (e.g., Scikit-learn, TensorFlow, Keras). Some experience from coursework, projects, or self-study in building or experimenting with models. Bonus Qualifications: Experience in Robotics/Automation: Prior exposure to robotics systems, automation, or sensor data (through coursework, projects, or clubs) is a plus. Software Development: Exposure to object-oriented programming (e.g., C++ or Java) is a bonus. Cloud Computing/Big Data Tools: Familiarity with cloud services (AWS, GCP, Azure) or big data tools (Spark, Hadoop) is helpful but not required What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Spring 2026 interns from January to April. Candidates are limited to three (3) applications within a 30-day period. The starting cash range for this internship is $44 - 48/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

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 ************** *********************************

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

ORGANIZATION BACKGROUND: The Hidden Genius Project is a non-profit headquartered in Oakland, California, that trains and mentors Black male youth in technology creation, entrepreneurship, and leadership skills to transform their lives and communities. The Hidden Genius Project seeks to reveal the true potential of Black male youth and empower them to become leaders who drive change from within their communities. Through a student-centered, project-based approach, we invest in young Black men, equipping them with technology training and connecting them to an ecosystem of innovation and empowerment. Since its founding in 2012 and establishment of a full-time infrastructure in 2015, The Hidden Genius Project has expanded to operate Intensive Immersion Programs in Oakland, Richmond (CA), Los Angeles, Detroit, Chicago, Atlanta, and Baltimore. As we continue our national growth trajectory in 2025, we remain committed to delivering impactful programming while navigating the evolving landscape of public health challenges. Our vision is to continue expanding our reach and positively impacting thousands of young Black males and their communities. JOB IDENTIFICATION:Job Title: Data and Evaluation InternDepartment: ProgramsSupervisor Title: Learning and Evaluation Director POSITION PURPOSE AND SUMMARY:The Data and Evaluation Intern will support The Hidden Genius Project's data systems and reporting functions, contributing directly to the organization's mission of training and mentoring Black male youth in technology creation, entrepreneurship, and leadership. This entry-level role provides hands-on experience with Salesforce, Google Workspace, and other technical platforms, offering an opportunity to develop data management, cybersecurity-adjacent, and administrative IT skills that are valuable for future workforce opportunities.DUTIES AND RESPONSIBILITIES:Essential Functions:Salesforce Data Entry & Management Enter, update, and clean data within Salesforce. Support account management tasks (account creation, sign-ins, password resets, etc.). Assist with contact and account data organization to support national program operations. Help implement and test basic Salesforce features such as fields, page layouts, templates, and list views (training provided). Assist with onboarding completion checks, stipend data entry, and related programmatic workflows. Technical and Systems Support Troubleshoot basic technical issues related to Salesforce, Google Workspace, and other internal tools. Support form setup, survey links, and distribution across program sites. Assist with maintaining internal data tools and system documentation. Data Reporting & Evaluation Support quarterly and end-of-year reporting through data compilation and light analysis. Assist with survey programming, distribution, and response monitoring. Provide basic reporting support for program, operations, and evaluation needs. Email and Communication Systems Help create and manage Google Groups/listservs. Generate organizational emails and assist with email account/password recovery. Non-Essential Functions: Provide support for organizational initiatives, community engagement efforts, and national programming. Assist with curriculum refinement, events, logistics, and occasional facilitation. General All-Staff Responsibilities: Engage and mentor youth participants through hands-on, relationship-centered practices. Foster safe, inclusive, and supportive learning environments. Collaborate across teams and sites to optimize program delivery. Participate in professional development and continuous learning. Support operational tasks beyond the defined job scope when needed to ensure youth success. QUALIFICATIONS, SKILLS, AND ABILITIES:Required: Demonstrated interest in technology, data management, or database systems. Strong organizational skills with high attention to detail. Commitment to The Hidden Genius Project's mission, youth development model, and collaborative culture. Experience in nonprofit, youth development, education, or technology environments. Strong interpersonal and communication skills. Flexibility to work evenings and weekends based on program needs. Adaptability to take on tasks outside the formal job description based on real-time organizational needs. Desired: Familiarity or prior experience with Salesforce (highly desired). Interest in supporting Salesforce implementation, including learning how to configure fields, reports, and page layouts. Experience troubleshooting basic technical issues (Google Workspace, account login issues, etc.). Interest in pursuing a career in technology, data systems, evaluation, or database administration. ROLE OVERVIEW:Role Location: (Oakland, CA) Status: Intern (part time hours) Schedule: [Total hours per week], starting [start time], including evenings and weekends as needed. Manages: N/A Years of experience: 0-3 Working relationships: At each location, site team members work closely with their immediate team, supervisor, and key leadership to support daily operations and program success. They also connect with colleagues in similar roles across different locations to share best practices and strengthen our collective impact. Central team members provide organization-wide support, collaborating across departments and locations to ensure seamless operations and strategic growth. Together, every team member plays a vital role in advancing our mission. Our organization operates within a dynamic structure that supports both site-based and central team roles. Site-based team members play a key role in our 15-month youth program, with an immersive summer schedule (Monday-Friday, between 7 AM - 6 PM for seven weeks) and a structured fall schedule that includes full-time hours, one evening per week, and one Saturday per month. Meanwhile, central team members maintain a Monday-Friday schedule (typically between 7 AM - 6 PM), supporting organizational needs through strategic initiatives, cross-functional collaboration, and efforts beyond core job duties. Regardless of role, every team member contributes to our shared mission and the success of our Geniuses.WORK ENVIRONMENT:The Hidden Genius Project operates in a dynamic and flexible work setting to best support our mission and the needs of our youth. We are flexible but require an onsite commitment for the first year of employment. Site-Based Roles: Staff in these roles work from programming locations within local communities. These locations have traditionally included school sites, faith-based institutions, and other commercial or community spaces designated for youth development programs. Site-based roles require adaptability to varying facilities and settings, ensuring a safe and engaging environment for program delivery. Site-based roles have the flexibility to work remotely as approved by supervisors and within our workplace policy and program needs. Central Team: Primarily based between our headquarters in Oakland and our Los Angeles site in CA, both feature a modern office setting. While many responsibilities are managed from a central location, team members have the flexibility to work remotely as needed and within our workplace policy. Remote work arrangements require supervisor approval, proactive communication, self-discipline, and the ability to collaborate effectively across time zones and locations. General Work Conditions: Requires occasional travel for site visits, events, and meetings. Collaboration with staff, partners, and youth may extend beyond traditional work hours to meet programmatic and organizational demands. Flexibility is key in this role, as responsibilities may shift based on programmatic needs and youth engagement. BENEFITS OF THE ROLE: Exposure to real-world database management and secure account administration. Resume-building experience in Salesforce, data reporting, and survey programming. Opportunity to strengthen technical problem-solving and IT support skills. Direct mentorship and professional development within a dynamic nonprofit. Dynamic, collaborative, and purpose-driven work environment. Meaningful opportunity to impact the lives of Black male youth and other youth of color. Entrepreneurial organization with opportunities for innovation and leadership. Direct connection to industry professionals and networking opportunities. Competitive compensation and benefits package. Opportunity to contribute to the growth of a national nonprofit. COMPENSATION:This is a non-pay internship.PHYSICAL DEMANDS: Employees may occasionally climb, balance, stoop, kneel, crouch, or crawl. Regularly talk, and/or hear. Vision abilities required for maintaining safety in programming spaces. Ability to travel and supervise youth transportation as needed. National (and possibly international) travel is required. Non-traditional work demands: The nonprofit sector and our commitment to youth development require flexibility beyond a standard work structure, often necessitating engagement in unexpected situations and responsibilities.

Gathers, analyzes, and interprets a wide variety of programmatic data. Designs and conducts data analysis. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results. Manages operations of several information systems and provides technical assistance to academic and administrative users statewide. This position is a career appointment that is 100% fixed. The home department is the Program Planning & Evaluation Department. While this position normally is based in Oakland, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University. Pay Scale: $88,900.00/year to $126,400.00/year Job Posting Close Date: This job is open until filled. The first application review date will be 10/24/2025. Key Responsibilities: 35% Gathers, analyzes, prepares, and summarizes the collection of information and data. Recommends approaches, trends, sources, and uses. Writes complex queries to gather programmatic data from multiple systems, using SQL in Microsoft SQL Server Management Studio and Microsoft Access, for annual reporting and ad hoc requests. Analyzes and prepares data to inform administrative and program decision making. Provides leadership to compile data for the Program Planning and Evaluation team and contributes to the analysis to meet annual federal program reporting requirements, strategic communications, and advocacy efforts. 20% Manages day-to-day operations for several information systems, including the following federal systems: The National Institute of Food Agriculture's (NIFA) Reporting System; the Research, Extension, and Education Project Online Reporting Tool; and the National Information Management and Support System, with over 500 UC ANR academic users. Provides training and technical assistance to users and to campus partners. Is a core member of the multicampus Program Reporting Group with administrative staff from the Deans' Offices. Liaises with Deans' Offices across multiple campuses and with USDA NIFA on policy and technical questions. Is a core member of the Product Owner Group for Project Board, the UC Cooperative Extension information system developed in-house, working closely with IT that is responsible for programming the system. Conducts testing when enhancements are deployed. Provides technical assistance to users statewide. Be a core team member, working with IT, to replace the publications data collection system Bibliography Project to improve administrative efficiencies. 20% Develops systems for organizing data to analyze, identify, and report trends. Structures and categorizes raw data to make it easily accessible, usable, and analyzable. Completes tasks such as data cleaning, standardization, classification, and potentially data warehousing. For example, retrieves, analyzes, and compiles UCPath data, the UC systemwide personnel system, for all UC ANR academics across multiple campuses and locations, to provide a quarterly report to leadership to illustrate trends and inform their academic staffing decisions. Manages an annual statewide survey of community educators to collect on data programmatic scope. Organizes and updates this academic and programmatic staff data in large, complex tables. 15% Prepares data for presentation in clear and compelling ways for a variety of audiences including administrators across the UC system and academics across disciplines, from senior leadership to researchers in the field, as well as UC ANR clientele/members of the public. For example, manages the programmatic and non-sensitive personnel data tasks for presentation in the online ArcGIS UC ANR Programmatic Footprint Maps. Tests maps to ensure the data is represented properly. Acts as a member of the project team that works on continued process improvements and map data enhancements. 5% Analyzes the interrelationships of data and defines logical aspects of data sets. Contributes to researching, assessing, and selecting new data reporting products. 5% Implements related business processes. Adapts processes to retrieve and analyze programmatic data when organization makes related changes. Manages proposal submission and provides process oversight for academic position planning and funding opportunities. Requirements: Bachelor's degree in related area and / or equivalent experience / training. Thorough skills in analysis and consultation. Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skills in project management. Skills at a level to evaluate alternate solutions and develop recommendation. Ability to create and edit tables in Structured Query Language (SQL). Ability to work independently and with a team. Interpersonal and verbal skills to effectively communicate with diplomacy and to interact with a wide range of academics and staff. Special Conditions of Employment: Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies. The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: https://apptrkr.com/get_redirect.php?id=6751108&target URL= Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=81754&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-b9a81a9e9cf59842a913c67f9291ce56

Staff Data Scientist | San Francisco | $250K-$300K + Equity We're partnering with one of the fastest-growing AI companies in the world to hire a Staff Data Scientist. Backed by over $230M from top-tier investors and already valued at over $1B, they've secured customers that include some of the most recognizable names in tech. Their AI platform powers millions of daily interactions and is quickly becoming the enterprise standard for conversational AI. In this role, you'll bring rigorous analytics and experimentation leadership that directly shapes product strategy and company performance. What you'll do: Drive deep-dive analyses on user behavior, product performance, and growth drivers Design and interpret A/B tests to measure product impact at scale Build scalable data models, pipelines, and dashboards for company-wide use Partner with Product and Engineering to embed experimentation best practices Evaluate ML models, ensuring business relevance, performance, and trade-off clarity What we're looking for: 5+ years in data science or product analytics at scale (consumer or marketplace preferred) Advanced SQL and Python skills, with strong foundations in statistics and experimental design Proven record of designing, running, and analyzing large-scale experiments Ability to analyze and reason about ML models (classification, recommendation, LLMs) Strong communicator with a track record of influencing cross-functional teams If you're excited by the sound of this challenge- apply today and we'll be in touch.

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 data science 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 data science 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.

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.