Data science internship jobs in Berkeley, 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.

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.

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.

TITLE: Data Analyst ANTICIPATED DURATION: 6 months Responsibilities: Collaborate with internal teams and external partners to determine data requirements. Create templates for automated, seamless data collection into databases. Design and structure databases that capture all relevant information for reporting and analysis. Link internal and external data sources for meaningful insights. Create dashboards to highlight key metrics and overall business performance. Requirements: Prior experience designing data collection processes and structuring best practices. Strong analytical skillset; experience building recurring financial reports and visualizations. Required experience with Python, SQL, and Tableau. Understanding of consumer credit processes is a plus. Proven ability to influence and challenge outcomes to drive results. Excellent written and verbal communication skills. Big-picture thinker with curiosity and ownership of details. Strong collaborator with global business partners. The hourly pay rate range for this position is $65 to $75 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to **********************. If you require assistance or an accommodation in the application or employment process, please contact us at **********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

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:

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

Lead Data Scientist - Computer Vision/Image Processing About the Role We are seeking a Lead Data Scientist to drive the strategy and execution of data science initiatives, with a particular focus on computer vision systems & image processing techniques. The ideal candidate has deep expertise in image processing techniques including Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection. Responsibilities Solid knowledge of computer vision programs and image processing techniques: Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection Strong understanding of machine learning: Regression, Supervised and Unsupervised Learning Proficiency in Python and libraries such as OpenCV, NumPy, scikit-learn, TensorFlow/PyTorch. Familiarity with version control (Git) and collaborative development practices

HCLTech is looking for a highly talented and self- motivated Advanced Data Analyst to join it in advancing the technological world through innovation and creativity. Job Title: Advanced Data Analyst Position Type: Full Time Location: Onsite Role Overview Mandatory skills - My Sql, Python, Tableau and Simulation Tool Experience Strong ability in translating business requirements and needs into analytic solutions, within multiple areas in IT and with various stakeholders, including key leaders and managers. Leverage data to understand in depth IT business processes, identify areas of opportunity for process improvement. Write queries, analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives. E.g., build rich and dynamic dashboards using Tableau. * Develop deep understanding of analytical data models. *Simulation Tools experience is must. Anylogic experience is big plus. * Support project development life cycles through data modeling, reporting and analytics. Participate in the on-going development of the business intelligence and data warehousing functions within the wider organization. Create training materials to guide business users on how to use dashboards. Participate in the creation and support of development standards and best practices. Explore and recommend emerging technologies and techniques to support/enhance BI landscape components. * Automate solutions where appropriate. Skills * At least 4-6 years of business intelligence and data warehouse experience. * At least 2-year experience with ANSI SQL/ Presto / Hive/ MySQL. * At least 1 year of experience with Tableau. * Prefer a candidate with scripting experience (Python/R/Javascript/PHP/ Perl/Ruby/etc.) * Prefer a candidate with experience building and maintaining pipelines * Knowledge of ETL processes and designs. Pay and Benefits Pay Range Minimum: $59,000 per year Pay Range Maximum: $109,000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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

Onsite in Cupertino, CA from Day 1 (Client prefer local folks) Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri) Long term contract Direct client opportunity No Mid layer / No Implementation partners are Involved Key points - Need someone focused on product management and integration of generative AI solutions - Excellent communication, organizational, and problem-solving skills We are seeking an AI Engineer to join our Legal Operations team and lead the design, development and deployment of AI-powered tools and automation solutions that transform how our Legal Department operates. This is a unique opportunity for a technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions. You will work closely with attorneys, legal ops specialists, and other engineering teams to identify opportunities for AI-driven efficiency, develop prototypes and bring scalable solutions to life. The ideal candidate combines strong software engineering and AI expertise with excellent communication skills, product sensibility and a curiosity about legal workflows and technology Description As a Senior Data Scientist/ AI Engineer, you will be responsible for overseeing the design and execution of key tool development programs. This is a unique opportunity for a technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions. You will work closely with attorneys, legal ops specialists, and other engineering teams to identify opportunities for AI-driven efficiency, develop prototypes and bring scalable solutions to life. The ideal candidate combines strong software engineering and AI expertise with excellent communication skills, product sensibility and a curiosity about legal workflows and technology. Key responsibilities may include: Develop and deploy AI solutions that enhance legal workflows, including contract review, document classification, knowledge management and workflow automation. Collaborate cross-functionally with attorneys, legal operations, compliance and engineering teams to identify and prioritize AI use cases. Act as a product developer and owner from concept to rollout-defining requirements, developing proofs of concept, collecting feedback and iterating solutions. Integrate large language models (LLMs) and other AI technologies into existing systems (e.g., document management, eDiscovery, CLM, or knowledge bases). Evaluate and integrate third-party legal AI tools and platforms as needed, ensuring compatibility and compliance with internal systems. Maintain strong documentation and governance around data usage, model performance and ethical AI standards. Stay current on emerging trends in AI, machine learning and legal tech to help shape the department's AI strategy. Minimum Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience). 5+ years of experience building and deploying AI/ML or automation solutions in production environments. Strong programming skills in Python (proven ability to quickly master new frameworks and tools). Demonstrated experience with modern AI architectures including context engineering, tool use and retrieval augmented generation. Proven ability to communicate complex technical concepts to non-technical stakeholders. Strong product development mindset-able to translate business needs into practical, scalable AI tools. Prior experience in or exposure to legal tech or legal operations. Preferred Qualifications Familiarity with DMS, document intelligence and CLM systems (e.g., Ironclad, Icertis, DocuSign CLM), document management platforms (e.g., iManage, NetDocuments) or legal AI tools (e.g., Harvey, Luminance, Casetext, Spellbook, etc.). Experience building internal AI assistants or chatbots for enterprise knowledge retrieval. Understanding of data privacy, compliance and governance frameworks relevant to legal data. Pay Range: $65/hr - $70/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.

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 are seeking a data-driven and detail-oriented individual to join our dynamic team. This role focuses on delivering actionable insights and enabling business decisions through high-quality reports, dashboards, and data analysis. You will work closely with cross-functional teams and within the Analytics & Data Science Department to design clear reporting tools, ensure data accuracy, define key metrics, and support both recurring and ad hoc analytics needs. Your contribution will be essential in driving operational visibility, stakeholder alignment, and performance transparency across the organization. Duties & Responsibilities 1. Data Visualization & BI: Build and maintain dashboards that present KPIs and performance metrics across business units. Use BI tools or other mediums to deliver automated and self-service reporting. Design reports that communicate data clearly for both strategic and operational use. 2. Data Management & Reporting Operations: Write clean, well-structured SQL queries to extract and transform data for reporting purposes. Conduct regular data validation to ensure accuracy across all reporting outputs. Document all report logic, business rules, and metric definitions to support transparency and repeatability. 3. Stakeholder Collaboration: Work with business units to define reporting requirements and understand data needs. Deliver timely and accurate ad hoc analysis and respond to evolving stakeholder requests. Serve as a subject-matter expert in interpreting and explaining performance metrics and report content. 4. Reporting Infrastructure: Support improvements to reporting systems by identifying opportunities for automation, scalability, and standardization. Assist in implementing alerting mechanisms for critical business metrics. Ensure documentation, folder structures, and version controls are properly maintained and shared. What you bring to the role 5+ years of experience in business intelligence, data analysis, or reporting roles, with a focus on delivering data-driven insights. Proficiency in SQL and business intelligence tools such as Tableau, Power BI, or Looker Studio. Excellent analytical thinking with a solid understanding of metric design, data validation, and reporting logic. Effective communication and stakeholder collaboration skills, with the ability to translate business needs into data solutions. Exceptional attention to detail and commitment to accuracy and consistency in reporting outputs. Ability to manage multiple projects and respond quickly to ad hoc reporting requests in a fast-paced, data-driven environment. Educational and Certification Requirements Bachelor's Degree: A degree in Data Analytics, Statistics, Information Systems, Computer Science, Business, or a related field is typically required, providing a strong foundation in data analysis, reporting methodologies, and business processes. Direct Reports and Span of Control Individual Contributor Rolea Additional Additional Job Description Equal Opportunity Employer: At Athena, we are deeply committed to fostering an inclusive and diverse workplace environment. We believe that diversity enriches our organization, enhances creativity, and drives innovation. We are dedicated to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We strive to create an environment where everyone feels valued, respected, and empowered to contribute their unique perspectives and talents. We actively promote diversity and inclusion through our hiring practices, employee development initiatives, and company culture, recognizing that it is essential for our success as a company and as a community.

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

In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. At least 4 years of experience in Information Technology Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data Strong experience using Python, Advanced SQL and PySpark Preferred Qualifications: Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns) Knowledge of Machine Learning techniques The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. EEO/About Us : About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As a Staff Data Engineer and Scientist, you will be an integral member of our Customer Analytics team, responsible for shaping the future of our business operations through robust data infrastructure and advanced analytical solutions. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise. You will act as both a strategic partner as well as builder, developing deep insights , building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives. You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work. This is an in office role 3 days/week in our HQ, Santa Clara, CA Your Impact In this versatile role, you will drive impact across both data engineering and data science domains: Data Engineering Foundations Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users. Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies. Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations. Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes. AI/ML Innovation & Business Impact Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales. Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents-such as conversational systems that allow users to query massive datasets using natural language-to improve their accuracy, efficiency, and reliability. Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner. Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation. Qualifications Your Experience 7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering. Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics. Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI. Prior experience developing dashboards in Tableau/Looker or similar data viz platform. Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled. Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost). A solid command of SQL for complex querying and data manipulation. Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion. Preferred Qualifications Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space. Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem. Experience in evaluating and optimizing the performance of AI systems or agents. Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis. An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Client: AT&T Primarily looking at: Data Bricks, Azure, Mongo DB, SQL Indexing, Python OOPS for modularizing notebooks into python library. Lastly LLM fine tuning using LORA and QLORA. Job Description: Competent Data Scientist, who is independent, results driven and is capable of taking business requirements and building out the technologies to generate statistically sound analysis and production grade ML models. DS skills with GenAI and LLM Knowledge. Experience building H2O models (XGboost, logistic regression, neural networks, random forest). Experience with MongoDB and NO-SQL Datasets. Experience in Hadoop ecosystem, Databricks and Pyspark. Expertise in Python/Spark and their related libraries and frameworks. Experience in building training ML pipelines and efforts involved in ML Model deployment. Experience in other ML concepts - Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, Model Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting. Familiar with DS/ML Production implementation. Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks. Azure cloud and Databricks prior knowledge will be a big plus.

About Us Gala Circle is a service provider offering integrated cutting-edge technology solutions for North American enterprises. It focuses on helping enterprises achieve business growth, efficiency improvement, and innovation, covering multiple industries such as catering and retail. Its core services consist of four major segments: 1.Ecological Operation Integration: Including alliance ecosystem restructuring, and cost reduction through centralized procurement. 2.Marketing & Customer Operations: Providing omnichannel social marketing, private domain establishment, and membership system services. 3.Payment & Compliance: Launching comprehensive payment solutions tailored to the North American market (covering major payment methods), while ensuring transaction security, compliance, and tax support. 4.Customized Technology Development: Covering systems such as CRM/ERP/HRM, industry-specific platforms, and SaaS/API integration. Key Responsibilities: Hardware & Technical Support: Assist with the coordination and tracking of hardware shipments. Support installation processes to ensure smooth deployment. Provide basic software guidance and troubleshooting assistance to users. Operational & Community Engagement: Maintain organized documentation of operational procedures. Assist in fostering strong relationships with customers and stakeholders. Support internal teams in cross-departmental operational initiatives. Qualifications: Strong communication and organizational skills. Basic technical proficiency with the ability to troubleshoot minor issues. Ability to work collaboratively with multiple teams. Adaptability and a proactive approach in a dynamic work environment. Bilingual proficiency in Spanish is a plus. Additional Information: This is a paid internship opportunity,20hours/week. The role is based at 1580 Oakland Rd San Jose, CA 95131. Future visa sponsorship opportunities may be available for eligible candidates. Equal Opportunity Employer Statement: Gala Circle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, ethnicity, gender, age, disability, or any other legally protected status.

The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features redefine how hundreds of millions of people utilize their computers and mobile devices for search and information retrieval. Our universal search engine powers search capabilities across a range of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. Additionally, we develop cutting-edge generative AI technologies based on multimodal large language models to enable innovative features in both Apple's devices and cloud-based services. As a member of this team, you will design new architectures for multimodal agents, explore advanced training paradigms, and build robust agentic capabilities such as planning, grounding, tool-use, and autonomous task execution. You will collaborate closely with researchers and engineers to bring cutting-edge agent research into production, transforming Apple devices into intelligent partners that help users get things done. As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision, multimodal LLM, and agent training experience and solid engineering skills. This role will have the following responsibilities: - Developing state-of-the-art multimodal foundation models for Apple Intelligence. - Developing various agent capabilities for multimodal LLMs, including computer use agents, visual tool use, thinking with images, and multimodal web search. - Developing, fine-tuning, and evaluating domain specific foundation models for various tasks and applications in Apple's AI powered products - Conducting applied research to transfer the pioneering research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks Excellent data analytical skills Good interpersonal skills and team player PhD preferred PhD, MS or equivalent experience Experience in machine learning, deep learning, computer vision, or natural language processing Proficiency in one of following languages: Python, Go, Java, C++