Data science internship jobs in Modesto, CA

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $201,700 - $267,300 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are looking for someone who's not just seeking a job, but someone who wants to make an impact. In this role, you'll have the opportunity to lead, innovate, and contribute to the growth of a company that values great service and lasting customer relationships. This position offers the chance to work in a fast-paced, dynamic environment that's constantly evolving. Main responsibilities: The Data Science team at Albertsons Companies is looking for a Lead Data Scientist to work for the most transformational food and drug retailers in the United States. Albertsons operates over 2,300 stores under 19 well-known banners including Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen and Carrs. The company reported revenue of over $60 billion from over 34 million weekly shoppers and is the third largest private company in the country. Data Science at Albertsons is inspired to build best in class customer experience and revolutionize the food and drug retail industry. We are looking for people who are excited in re-imagining the grocery experience by harnessing the power of AI and digital technologies. The Data Science team collects and relies on big data from existing stores and customer interactions at the 2300 nationwide stores and beyond. We are a highly driven team that applies data science to delight our customers, to improve store operations, to optimize supply chain and to proactively improve product lifecycle. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into business impacts on regular basis. You will work closely with other data scientists and business partners in identifying and defining data science projects, building machine learning algorithms and models on top of existing data platforms. The candidate will have a background in computer science or a related technical field with experience working with large data sets and applying data-driven decision making. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action. This position is primarily located in Pleasanton, CA, but the candidate can work virtually from anywhere in the US. Our other affiliated teams are in Boise, Idaho, or one of our main regional offices (Seattle, WA, Portland, OR, Pleasanton CA, Denver CO, Dallas TX, Chicago, IL, or Fullerton, CA, Phoenix, AZ). Big part of your responsibilities will be project-based. You will be responsible for identifying and providing solutions and tooling built on predictive modeling, machine learning algorithms that satisfy various business needs Use machine learning algorithms to generate customer behavior segmentation, to build recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts Build data science solutions to solve complex problems and fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams Extract insights and scale sentiment analysis from comments and other forms of feedback using Natural Language Processing. Develop adaptable NLP solutions including text categorization, domain classification, event detection, and topic modeling Design experiments and deliver A/B Testing analysis to improve customer experience in physical store and on digital platforms Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communications We are looking for candidates who possess the following: Master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields 7+ years of industry experience in applying data science and modeling methodologies: regression model, ensemble modeling, recommendation algorithm ,NLP, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc. Background in building Recommendation systems or Personalization is strongly preferred 5+ years of experience and proficiency in Python and/or Spark-ML 5+ years of SQL development skills writing complex queries, transforming data, mining structured and unstructured data 3+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop Proven track record of leveraging data science solutions to drive impactful business decisions Proven ability to effectively distill and communicate complex machine learning solutions to different audiences Experience with Azure Databricks and Google Cloud is a strong plus Experience using data access tools and building dashboards with large datasets from multiple data sources is a plus We also provide a variety of benefits including: Competitive wages paid weekly Associate discounts Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!) Time off (vacation, holidays, sick pay). For eligibility requirements please visit my ACI Benefits Leaders invested in your training, career growth and development An inclusive work environment with talented colleagues who reflect the communities we serve Our Values - Click below to view video: ACI Values The salary range is $ 157,900 to $ 205,300 annually. Starting salary will vary based on criteria such as location, experience, and qualifications. There may be flexibility for exceptional candidates. A copy of the full job description can be made available to you. #LI-MF1

Job Type: Full-time Work Category: Onsite Sponsorship: Not Available Compensation: $23.00 - $27.50 Duration: May - December Important Information - Applications will not be reviewed until the application close date. Candidates must be available for the entire duration of the internship. Gallo Privacy Policy We are GALLO We're a family-owned company with a 90+ year legacy, that's consistently recognized as a Glassdoor “Best Places to Work.” We have 130+ brands in our total alcohol beverage portfolio including wine, malt, spirits, and ready-to-drink beverages. We're home to the #1 wine and spirits brands in the U.S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of America. View our Corporate Values and Mission Statement here. A Taste of What You'll Do Join our team as a GIS (Geospatial Data Science) and be at the forefront of innovation in wine grape production. We are dedicated to fostering an inclusive environment where diverse talents and perspectives drive our success in advancing digital agriculture practices. As an intern, you will contribute to research and production support initiatives that aim to enhance yield, fruit composition, and wine quality. You will work alongside experts from various Winegrowing Research disciplines and collaborate with internal partners and leading industry and academic collaborators. Interns will develop and apply GIS and remote sensing solutions for advancing vineyard management and grape production practices. Assigned tasks include utilizing machine learning techniques to monitor crop health, disease detection, yield prediction, and vine water status. Interns will learn how GIS is applied to wine grape production across a wide-range of California production regions, grape varieties, and growing practices. Embrace this opportunity to develop your skills and be part of a team that values innovation, collaboration, and diverse perspectives. What You'll Need Currently enrolled at a college or university and working towards a Bachelor's degree or Master's degree in the School of Computer Science, School of Engineering, Agricultural Sciences, Life Science, or Natural Resources; OR have obtained a Bachelor's degree or Master's degree in the School of Computer Science, Engineering, Agricultural Sciences or Natural Resources. Available for the entire duration of the internship program area(s) of interest. Strong applied technical skills and analytical problem-solving skills. Good oral and written communication skills. Requires availability to work evenings, weekends and holidays when necessary. Required to be 21 years of age. To view a full job description, please click here. Our Benefits & Perks We are committed to providing competitive compensation, perks, and a culture that supports your well-being. Benefits depend on your work category and may include medical and dental coverage, 401k plans, profit sharing, pet insurance, company holidays, access to an employee wine shop, and more! Additional information will be provided before your first interview. The Fine Print The Company does not sponsor for employment-based visas for this position now or in the future. Actual compensation paid within the range will be determined by factors such as the education, experience, knowledge, skills and abilities of the applicant, internal equity, and alignment with market data. In addition to the salary, this position may be eligible for bonuses, incentive plans, or participate in tasting room tip pools, as applicable. This position will be based in the location(s) specified in the job posting and requires working on-site with no telecommuting option. You will be expected to live within a commutable distance. It is the Company's policy for job postings to be open to internal candidates for a minimum of 5 days and to external candidates, if applicable, for a minimum of 3 days. Gallo's policy is to afford equal employment opportunities to all applicants and employees and not to discriminate on the basis of race, traits associated with race, including but not limited to, hair texture and protective hairstyles (such as braids, locks, and twists), color, national origin, ancestry, creed, religion, physical disability, mental disability, medical condition as defined by applicable state law (including cancer and predisposing genetic characteristics), genetic information, marital status, familial status, sex, gender, gender identity, gender expression, sexual orientation (actual or perceived), transgender status, sex stereotyping, pregnancy, childbirth or related medical conditions, reproductive health decision making, age, military or veteran status, domestic violence or sexual assault victim status, or any other basis protected by applicable law. Nor will Gallo discriminate based on a perception that an individual has any of the foregoing characteristics or is associated with a person who has, or is perceived to have, any of those characteristics. Gallo will comply with state and local laws prohibiting discrimination for lawful out-of-work behavior, such as off-duty use of cannabis away from the workplace (subject to federal and state law exceptions), the existence of non-psychoactive cannabis metabolites in hair, blood, urine, or other bodily fluids as determined by a drug screening test (subject to federal and state law exceptions). We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gallo is committed to providing reasonable accommodation for candidates with disabilities in our recruiting process. If you need any assistance or accommodation due to a disability, please let us know at ************. Gallo is enrolled in the Department of Homeland Security's E-Verify program and will use the program to verify the employment eligibility of all newly hired employees as required. E-Verify Notice Right to Work Employee Polygraph Protection Act

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As an Expert Data Scientist we are looking for a candidate with a strong foundation in machine learning (ML), data science, and software engineering. You will have practical experience in building and deploying ML models and developing AI agents, particularly for tasks involving unstructured/structured data and workflow automation. Key Responsibilities: Machine Learning and Deep Learning: The candidate must be proficient in a wide range of ML algorithms, from traditional models like linear regression and decision trees to more advanced deep learning architectures such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). They should understand the principles behind model training, validation, and hyperparameter tuning. Natural Language Processing (NLP): For extracting information from unstructured text, strong NLP skills are essential. Look for experience with techniques like tokenization, sentiment analysis, named entity recognition, topic modeling, and using pre-trained language models like BERT, GPT, or others from the Hugging Face ecosystem. Data Handling and Feature Engineering: They should be adept at working with various data formats and have experience in data cleaning, preprocessing, and transforming raw data into useful features for ML models. This includes handling missing values, encoding categorical data, and scaling numerical features. Programming and MLOps: Proficiency in Python is a must, along with a solid understanding of key libraries like Scikit-learn, Pandas, TensorFlow, and PyTorch. Experience with MLOps (Machine Learning Operations) practices, including model versioning, monitoring, and deployment on cloud platforms (AWS, Azure, or GCP), is crucial for building and maintaining robust solutions. AI Agent Architectures: Look for a candidate who understands the components of an AI agent, including a Large Language Model (LLM) as the brain, tools for specific tasks, and a logical structure for decision-making. Workflow Automation: The candidate should have practical experience in designing and implementing automated workflows. This involves integrating AI agents and ML models into existing business processes. They should be able to identify bottlenecks, map out a solution, and build the necessary connectors or APIs to execute tasks automatically. Unstructured Data: The candidate needs to demonstrate expertise in handling various forms of unstructured data, including text, images, and audio. This involves building pipelines to ingest, process, and analyze this data to extract meaningful insights or trigger actions. Who you are: (Required) Problem-Solving: The ability to break down complex business problems into manageable, data-driven solutions is key. They should be able to think critically and creatively to solve real-world challenges. Communication: A great candidate can clearly articulate technical concepts to non-technical stakeholders, explaining the "why" and "how" of their solutions. This is vital for collaborating with different teams and ensuring the project meets business goals. Business Acumen: The best candidates understand the business context of their work. They should be able to connect their technical solutions directly to a positive impact on the company's bottom line or operational efficiency. Relocation benefits are not available for this posting The expected salary range for this position based on the primary location of California is $148,700 - $276,100.00. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Who we are A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together. Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Join us and make YOUR mark on the World! Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission. Pay Range $22.80 - $31.00 Hourly for the 705.1 level This position is under a step structure. Please note that the step placement is determined by your most recent completed academic year. Job Description Position will be closed to applicants on January 30, 2026. Internship Dates: Please select the session that best works for you and your mentor's schedule: Session 1: May 18, 2026 - August 7, 2026 Session 2: June 22, 2026 - September 11, 2026 We have multiple openings for our Undergraduate summer internship program in data science. Our openings are for undergraduate level students to join the Data Science Summer Institute (DSSI). The DSSI is a 12-week summer internship program and selected interns will be given the opportunity to engage in practical research to further their educational goals. The selected interns will work in the data science field and provide technical and/or research support to projects in the area of Machine Learning, Statistics, High Performance Computing, and other related fields. If you are graduating with your bachelor's degree this summer, then apply to the Data Science Summer Institute Graduate Student Intern position. Before applying, please understand the following: This is an on-site internship; attendance in person is required. Confirm with your university that you are permitted to participate in and work for the full 12-week internship program (i.e. CPT hours). Modifications to the internship dates will not be accepted. If you have pre-planned travel or commitments during the internship, this needs to be disclosed in the interview process. For FAQ, please visit: **************************************** You will * Work with scientists, engineers and technical staff members to provide technical and/or research support to projects in the areas of computational science, numerical methods, mathematics, or other related fields. * Participate in research in assigned areas under close supervision. * Gather and analyze data and information in support of scientific research. * Participate in research planning and evaluation discussion. * Work with other DSSI interns on a data science challenge problem. * Attend data science related short courses/seminars, meetings, tours, and events. * Present work through presentations and/or poster sessions during your internship. * Perform other duties as assigned. Qualifications * Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in Computer Science, Statistics, Mathematics, Machine Learning, Computer Vision, Bioengineering, or other related fields. * Effective programming skills in a high-level language such as R, Python or Matlab. Ability to apply basic principles of data sciences (machine learning, statistics, computer science, mathematics) to solve technical problems. * Ability to present and communicate concepts and ideas. * Ability to work in a team environment. * Effective communication skills. * Desire to participate in individual or team efforts including the LLNL DSSI Challenge Problems. * Desire to improve skills in public presentation of scientific results by giving presentations. * Eagerness to obtain an understanding of new application areas. * Exposure through coursework or relevant experience to some of the following topics: * Statistical modeling and data analysis * Bayesian and frequentist statistical frameworks * Inverse problems * Uncertainty quantification * Machine learning * Computer vision * Multimedia signal and video processing * Combinatorics and algorithms * Graph modeling and social network analysis * Modeling and simulation Qualifications We Desire * GPA of 3.0 or above. Additional Information All your information will be kept confidential according to EEO guidelines. Why Lawrence Livermore National Laboratory? * Included in 2025 Best Places to Work by Glassdoor! * Holiday Pay * Sick leave accrual * Individual 401(k) contributions * Our values - visit ***************************************** Security Clearance None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.) National Defense Authorization Act (NDAA) The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: ***************************************************************************************** Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

Project Description • Provide L3 escalation support for existing production systems and assist with related enhancement activities. Ensure proper testing and adherence to business change management practices and procedures • Installation, patching, configuration, and maintenance of StreamSets on-prem runtime instances. (Must haves) StreamSets SME, and knowledge on the data landing needs into Snowflake for data analytics and reporting needs. • Strong technical expertise in Cloud applications, Data ingestion, and Data Lake architecture. • In-depth knowledge of StreamSets cloud and on-prem architecture, including environment configuration and deployment models. • Hands-on experience and strong technical knowledge with platforms like Linux/Windows OS, authentication systems, networking, clustering, load balancers, Java, SSL, certificates, etc. Reetu kalra Talent Aquisition Specialist E:************************** M: ************** Quantaleap Inc, 3020 Bernal Ave, Pleasanton, CA 94566 Job Title: Data Analyst with Streamsets Location: Dublin , CA (Hybrid) Duration: Long-term Job Description Project Description Duties/Day to Day Overview • Provide L3 escalation support for existing production systems and assist with related enhancement activities. Ensure proper testing and adherence to business change management practices and procedures • Installation, patching, configuration, and maintenance of StreamSets on-prem runtime instances. (Must haves) StreamSets SME, and knowledge on the data landing needs into Snowflake for data analytics and reporting needs. • Strong technical expertise in Cloud applications, Data ingestion, and Data Lake architecture. • In-depth knowledge of StreamSets cloud and on-prem architecture, including environment configuration and deployment models. • Hands-on experience and strong technical knowledge with platforms like Linux/Windows OS, authentication systems, networking, clustering, load balancers, Java, SSL, certificates, etc. Reetu kalra Talent Aquisition Specialist E:************************** M: ************** Quantaleap Inc, 3020 Bernal Ave, Pleasanton, CA 94566 Powered by JazzHR BncoaQOs7J

Snowflake is about empowering enterprises to achieve their full potential - and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology - and careers - to the next level. Snowflake is growing and looking for a driven Auditor to join our team. You will report to the Senior Manager, Internal Audit - Business and help with an evolving workload with minimal supervision in a fast-paced environment. Whether it is supporting Snowflake's Enterprise Risk Management (ERM) program or conducting internal audits, we strive to enhance the effectiveness, efficiency and scalability of the company's processes, systems, and underlying internal control environment. You will be expected to leverage data to generate powerful insights and solutions, problem solve, collaborate closely with stakeholders, and move fast while keeping attention to detail. AS AN INTERNAL AUDIT DATA ANALYST YOU WILL: Design, and develop data analytics to support operational audit activities, including building and automating audit tests, anomaly detection, audit scoping e.g. risk scoring, developing techniques for continuous monitoring, and generating insights, and visualizations including dashboards. You will leverage the Snowflake platform to build and maintain models that provide enhanced insight into risks and controls, establish an efficient/automated means to analyze and test large volumes of data for outliers, anomalies, patterns, and trends, and help evaluate the adequacy and effectiveness of process and controls. Design, build, and execute data analytics for ERM (Enterprise Risk Management) initiatives, including developing analytics to monitor Key Risk Indicators (KRIs), identify emerging risk trends, and provide data-driven support for the ERM program and ERM risk assessments. Interact with management and business partners to identify appropriate data sources and data elements required for analytics, validating the completeness and accuracy of data received. Champion a data-first mindset within the team, research and communicate best practices, identify areas for improvement and opportunities to use data analytics and tools to improve our audit processes, and provide effective recommendations and sound audit conclusions. You will be empowered to challenge the status quo, develop new analytical approaches, and create tools that enhance the audit process. Execute and support end-to-end operational audits over key business processes to identify areas of risk, evaluate the effectiveness of controls, and identify opportunities for process improvement. Participate in risk assessments and the design of audit programs in order to address relevant risks. OUR IDEAL INTERNAL AUDIT DATA ANALYST WILL HAVE: Bachelor's degree in Data Science, Computer Science, Business, Accounting or Finance. Relevant work experience in internal audits, risk analysis, internal controls, fraud, compliance, data analysis, business intelligence, or controls assessment. 3+ years of relevant data analysis in audit, financial, risk management, or technology functions experience. Experience in supporting the execution of SOX programs, control principles (e.g. COSO) and other internal audits, is a plus. Experience with cloud-based or software as a service (SAAS) companies, and certifications like AWS, Azure and Google Cloud is strongly preferred. Strong quantitative, analytical, data-intuition, and problem-solving skills, and proficiency in data analytics techniques and query/programming languages in SQL and Python, for data analysis and machine learning. Hands-on experience working with data visualization tools. Experience with Big 4 accounting firms or global public companies and consulting is a plus. A strong sense of analytical curiosity and the ability to ask probing questions to understand complex business processes and data context. Detail and team orientated; ability to work both independently and as a team member. Self-starter, ability to proactively problem-solve, identify, advocate for and execute improvements. Ability to manage multiple, concurrent projects efficiently and effectively with minimal oversight. Maintain relationships with process owners and other key stakeholders. Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

This individual contributor is primarily responsible for designing and developing data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by transforming, cleansing, and storing data for consumption. This role is also responsible for developing detailed problem statements outlining hypotheses and their effect on target clients/customers, analyzing and investigating complex data sets and summarizing key characteristics, selecting, manipulating and transforming data into features used in machine learning algorithms, training statistical models, deploying and maintaining reliable and efficient models through production, verifying model performance, and collaborating with internal and external stakeholders across domains to develop and deliver statistical driven outcomes.Essential Responsibilities: Promotes learning in others by proactively providing and/or developing information, resources, advice, and expertise with coworkers and members; builds relationships with cross-functional/external stakeholders and customers. Listens to, seeks, and addresses performance feedback; proactively provides actionable feedback to others and to managers. Pursues self-development; creates and executes plans to capitalize on strengths and develop weaknesses; leads by influencing others through technical explanations and examples and provides options and recommendations. Adopts new responsibilities; adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work; champions change and helps others adapt to new tasks and processes. Facilitates team collaboration to support a business outcome. Completes work assignments autonomously and supports business-specific projects by applying expertise in subject area and business knowledge to generate creative solutions; encourages team members to adapt to and follow all procedures and policies. Collaborates cross-functionally and/or externally to achieve effective business decisions; provides recommendations and solves complex problems; escalates high-priority issues or risks, as appropriate; monitors progress and results. Supports the development of work plans to meet business priorities and deadlines; identifies resources to accomplish priorities and deadlines. Identifies, speaks up, and capitalizes on improvement opportunities across teams; uses influence to guide others and engages stakeholders to achieve appropriate solutions. Develops detailed problem statements outlining hypotheses and their effect on target clients/customers by defining scope, objectives, outcome statements and metrics. Designs and develops data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by transforming, cleansing, and storing data for consumption by downstream processes; writing and optimizing diverse SQL queries; and demonstrating advanced knowledge of database fundamentals. Analyzes and investigates complex data sets and summarizes key characteristics by employing data visualization methods; and determining how best to manipulate data sources to discover patterns, spot anomalies, test hypotheses, and/or check assumptions. Selects, manipulates, and transforms data into features used in machine learning algorithms by leveraging techniques to conduct dimensionality reduction, feature importance, and feature selection. Trains statistical models by using algorithms and data mining techniques; testing models with various algorithms to assess the input dataset and related features; and applying techniques to prevent overfitting such as cross-validation. Deploys and maintains reliable and efficient models through production. Verifies model performance by demonstrating expertise in the practice of a variety of model validation techniques to assess and discriminate the goodness of model fit; and leveraging feedback and output to manage and strengthen model performance. Collaborates with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by delivering insights and values from heterogeneous data to investigate complex problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical audiences. Qualifications Minimum Qualifications: Minimum three (3) years experience working with Exploratory Data Analysis (EDA) and visualization methods. Minimum three (3) years machine learning and/or algorithmic experience. Minimum three (3) years statistical analysis and modeling experience. Minimum three (3) years programming experience. Minimum one (1) year experience in a leadership role with or without direct reports. Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum five (5) years experience in data science or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for the work experience requirements. Additional Requirements: Knowledge, Skills, and Abilities (KSAs): Advanced Quantitative Data Modeling; Algorithms; Applied Data Analysis; Data Extraction; Data Visualization Tools; Machine Learning; Relational Database Management; Microsoft Excel; Design Thinking; Business Intelligence Tools; Data Manipulation/Wrangling; Data Ensemble Techniques; Feature Analysis/Engineering; Open Source Languages & Tools; Model Optimization; Strategic Thinking; Deep Learning/Neural Networks; Project ManagementPrimary Location: California-Pleasanton-Pleasanton Tech Cntr Building A Regular Scheduled Hours: 40 Shift: Day Working Days: Mon, Tue, Wed, Thu, Fri Start Time: 09:00 AM End Time: 05:00 PM Job Schedule: Full-time Job Type: Standard Employee Status: Regular Job Level: Individual Contributor Job Category: Data Science Public Department Name: Po/Ho Corp - KP Insight HQAA - 0308 Travel: No Employee Group: NUE-PO-01|NUE|Non Union Employee Posting Salary Low : 162900 Posting Salary High: 210760 Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.Click here for Important Additional Job Requirements. Share this job with a friend You may also share this job description with a friend by email or social media. All the relevant details will be included in the message. Click the button labeled Share that is next to Submit.

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the , nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview The Benefits Data Analyst supports the Client Open Enrollment Team and is an integral team player responsible for performing data management retrieval, reporting and processing functions supporting the company's multifaceted open enrollment processes, practices, and system. An extensive portion of this position's time is spent gathering data from a variety of sources, compiling results and reporting on findings. The development of reports involves perceptive comparative analysis and manipulation of data. Reports are expected to include insightful recommendations based on assessment within the broader context of the incumbent's experience in and/or knowledge of the health care and health benefits industry. What you will do Analyze client performance, producing reports and reconciling large amounts of disparate data. This includes analyzing and interpreting claims, fees, and conditions data to determine present and future financial performance. Create and manage the client costing tool. Understand multiple data sources and structures to maintain strong data infrastructure, bringing relevant data sources into a consolidated environment for more efficient data manipulation and relationship reporting. Create queries using design techniques that ensure adherence to database development standards using a variety of database applications. Coordinate with all levels of management to gather, analyze, and summarize data to accommodate all stakeholder requests. Assist with the annual client renewal process for medical, dental, and other healthcare benefits. Document business requirements to ensure systems and processes are set up correctly. Responsible for carrier rate validation. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree or equivalent experience required Bachelor's Degree in Finance, Economics, or other business-related areas preferred Experience Qualifications Typically, 2-3 years working with relational databases and complex spreadsheets required Experience in healthcare analytics and/or insurance preferred Skills and Abilities Ability to critically evaluate information gathered from multiple sources, reconcile any identified conflicts, and categorize high-level information Strong Microsoft Office experience. Advanced proficiency in Excel required A demonstrated commitment to high professional ethical standards and a diverse workplace Ability to adapt to a fast paced continually changing business and work environment while managing multiple priorities Comfortable across multiple systems and interfaces. Experience with data warehouse preferred. Strong critical thinking, problem solving, and analytical skills with an attention to detail. Ability to work independently and meet deadlines Knowledge of medical utilization terminology and analysis preferred Excellent verbal and written communication skills. Ability to communicate with colleagues at all levels of the organization Travel Requirements Travel not required Work Environment Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The preferred location for this role is Atlanta, GA, and the salary range for this location is $56,500.00 to $96,100.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: **************************************************** Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact ************************ to request such an accommodation.

Title: Commercial Data Analyst Hiring salary range: $72,092.00 - $97,705.00 annual Fremont Bank founded in 1964, is one of the oldest independently owned banks in the Bay Area and is one of the top rated mid-tier banks in the nation. Voted a Top Workplace for 2024 and for the past fourteen consecutive years, Fremont Bank has an immediate opening for a Commercial Data Analyst in Livermore, CA. Position Overview The Commercial Data Analyst will be responsible for collecting, analyzing, and interpreting data to help drive decision-making that supports strategic objectives in Commercial Lending. This role demands a detail-oriented professional who thrives on turning complex data sets into insights that inspire operational improvements. The ideal candidate will have strong analytical skills, a keen eye for detail, and the ability to work with large datasets to uncover trends, patterns, and insights. This position reports to the Director of Commercial Optimization. Role and Responsibilities * Data Collection and Preparation: Gather, clean, and organize large sets of data from various internal and external sources. Ensure data is accurate, complete, and ready for analysis. * Data Analysis and Reporting: Analyze complex datasets to identify trends, correlations, and insights. Generate regular and ad-hoc reports for various departments, ensuring clarity and actionable insights. * Data Visualization: Create clear, concise, and visually engaging dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to make data insights easily accessible and understandable. * Data Interpretation: Provide recommendations and insights based on data findings to support business strategies and decision-making. Present data findings in a way that is understandable for both technical and non-technical stakeholders. * Collaboration with Teams: Work closely with business leaders, product teams, marketing, finance, and other departments to understand data needs and provide analytical support to optimize business processes. * Process Improvement: Identify opportunities for process improvements through data analysis and recommend strategies for increasing operational efficiency, reducing costs, and improving performance. * Data Integrity and Quality: Ensure the consistency, accuracy, and reliability of data through regular data validation and quality checks. * Continuous Learning: Stay up-to-date with the latest data analysis techniques, tools, and industry best practices. Continuously seek to improve your skill set and contribute to the development of best practices within the organization. Minimum Qualifications * Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or equivalent work experience. Experience with nCino or SalesForce is a plus * At least 3 years of experience in a data analysis role, with specific experience in commercial lending or financial services environments. * Proficient in SQL, Python, and data visualization tools like Tableau or Power BI. * Demonstrated experience in using statistical and data mining techniques to solve complex business problems. * Excellent communication and interpersonal skills, with the ability to explain complex concepts to non-technical audiences. Knowledge of loan origination systems (nCino or SalesForce preferred) * Detail-oriented, with a commitment to ensuring data accuracy and integrity. * Strong analytical thinking and critical problem-solving skills. * Ability to work independently and manage multiple tasks effectively. * A collaborative mindset, comfortable working with cross-functional teams. * A proactive, results-driven approach to work * Exceptional verbal and written communication skills * Proficient in Microsoft Office applications * Commercial banking or commercial loan operations experience is a plus

What we are looking for SCS Field Services has an immediate opening for an entry/mid-level Field Data Analyst to work on several landfill gas (LFG) projects including, LFG Operations, Monitoring and Maintenance (OM&M) and Landfill liquid management monitoring data. This will be a Full-Time position based in one of our Northern, CA offices and there is some flexibility with remote work, but you must live in Northern California. Relocation is not being offered for this role. How you can make an impact Follow procedures related to SCS' Quality Management System and related QA/QC activities. Collect, compile, organize and provide analysis of data for projects using statistical techniques. Prepare reports including tabulated data, data calculations, charts, graphs, and figures for clients and regulatory agency submittals. Regulatory compliance tracking and scheduling. Help create drawings and maps using geospatial data. Electronic filing of documents and data. Provide support to our field, administrative, and management team. Qualifications Minimum of 1 year of environmental compliance experience required. General knowledge of Federal, State, and Local Rules relating to air compliance and solid waste regulations is strongly preferred. Experience with Excel analysis functions and lookup functions (VLOOKUP, INDEX and Match) preferred. AutoCAD or experience with geospatial data preferred. Bachelor's or Associate's Degree preferred. Valid Driver's License with a driving record in good standing required. Pay Range USD $29.00 - USD $37.00 /Hr. Additional Information Whether it's reducing methane emissions at agricultural facilities and landfills, repurposing contaminated properties, producing alternative energy, or sequestering carbon, we've been focused on finding smart climate solutions and improving the natural environment since our inception over 50 years ago. Join our 100% employee-owned firm and start creating your own legacy. As a growing firm, we offer excellent opportunities for career advancement and a comprehensive package, including: • Medical, Dental, Vision, Life and Disability Insurance • 100% employer-funded Employee Stock Ownership Plan (ESOP) and 401K including employer match • Student Debt Employer Contribution Program • Paid holidays, PTO, and Paid Parental Leave • Safety footwear reimbursement program • Paid training and all necessary tools and equipment provided • Per diem for travel for eligible work • Company truck and cell phone for certain Field Services positions SCS Engineers is an Equal Opportunity Employer (EOE). SCS provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran or disabled status. If you have questions, difficulty using our online system and/or you need an accommodation due to a disability then please contact us about your interest in employment at ***************************

Sajix Inc. is a global health-tech company headquartered in Pleasanton, California, focused on transforming healthcare delivery through advanced digital solutions. Since its founding in 2006, Sajix has specialized in developing integrated healthcare information systems that streamline clinical, financial, and administrative operations for healthcare organizations around the world. With operations in the United States, United Kingdom, Singapore, and India, Sajix serves clients across North America, Europe, Asia, and Africa. Its flagship platform, iHelix , is a modular, scalable solution designed for use in diverse healthcare settings-from single-doctor practices to large hospital networks. Sajix offers a comprehensive suite of digital healthcare solutions, including: iHelix Lifeeazy AI-based Revenue Cycle Management - optimizing financial workflows through automation All products are built with global standards in mind, supporting multiple languages and currencies, and comply with international healthcare regulations such as CCR and CCD. Through strategic partnerships and a commitment to innovation, Sajix continues to lead the industry in delivering intelligent, interoperable, and patient-centric healthcare solutions. Website: ************* Job Description As a Trainee Data Analyst at Sajix, you will assist in collecting, cleaning, and analyzing data to help the team make data-driven decisions. You'll work closely with business and tech teams to understand data structures and reporting needs. Key Responsibilities: Assist in data extraction, transformation, and loading (ETL) processes. Perform exploratory data analysis and create visual reports. Support internal teams with ad-hoc data requests and reporting. Work with tools like Excel, SQL, and basic BI dashboards. Qualifications Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. Basic understanding of SQL and data visualization tools (Excel, Power BI, Tableau, etc.). Analytical mindset and attention to detail. Additional Information These trainee roles are offered in collaboration with Sajix's __init__py program-a structured, hands-on learning initiative aimed at nurturing the next generation of full-stack developers and technology professionals. The program offers tiered training tracks. Participants gain real-world experience through live projects, personalized mentorship, and exposure to industry-relevant tools and practices. This collaboration ensures that trainees are well-equipped with practical skills and knowledge to excel in their roles. For more information about the __init__py program, visit initpy.sajix.com.

Educate, Innovate and Inspire! San Joaquin County Office of Education located in Stockton, CA is a regional agency that provides educational leadership, resources, and customized services to assist school districts. San Joaquin County Office of Education (SJCOE) employs over 2,100 classified and certificated employees. SJCOE promotes student achievement and accountability, serves San Joaquin County's most at-risk students, and strives to create an environment in which every student, regardless of circumstances, has an opportunity for a quality education. See attachment on original job posting Possess an Associate of Arts Degree with a concentration in data analysis, computer-related technology, Business Administration, or a related field or equivalent experience as a student information system power user/administrator in an educational setting. Please be advised that your application will be considered incomplete if a formal letter of introduction, resume and three letters of recommendation (preferably dated within the past year) are not attached to your on-line application by the deadline date. If you need assistance attaching your documents please call **************. Possess an Associate of Arts Degree with a concentration in data analysis, computer-related technology, Business Administration, or a related field or equivalent experience as a student information system power user/administrator in an educational setting. Please be advised that your application will be considered incomplete if a formal letter of introduction, resume and three letters of recommendation (preferably dated within the past year) are not attached to your on-line application by the deadline date. If you need assistance attaching your documents please call **************. * Letter of Introduction (COVER LETTER) * Letter(s) of Recommendation (3 Letters of Recommendation-MUST BE SIGNED BY AUTHOR) * Resume Comments and Other Information Nondiscrimination in Employment & Sexual Harassment The Superintendent prohibits discrimination and/or harassment of San Joaquin County Office of Education (SJCOE) employees and job applicants on the basis of actual or perceived race, religious creed, color, national origin, ancestry, age, marital status, pregnancy, physical or mental disability, medical condition, genetic information, veteran status, gender, gender identity, gender expression, sex or sexual orientation at any SJCOE site and/or activity. The Superintendent prohibits sexual harassment of San Joaquin County Office of Education (SJCOE) employees and job applicants, as well as retaliatory behavior or action against employees or other persons who complain, testify, or otherwise participate in the complaint process established pursuant to this policy and administrative regulation. Contact the Title IX Coordinator/Coordinator for Nondiscrimination in Employment listed below for information on Nondiscrimination in Employment/Harassment (including Sexual harassment). Name: HR Title IX Investigations E-mail: ********************************* School District: San Joaquin County Office of Education Telephone: ************

Tailored Brands, Inc. is a leading omni-channel specialty retailer of menswear, including suits and a broad selection of business casual offerings as well as the largest provider of tuxedo rental products in the U.S. and Canada. We operate retail stores in all 50 states and Canada. Our U.S. retail stores are operated under the brand names of Men's Wearhouse, Jos. A. Bank, Men's Wearhouse and Tux, and K&G Fashion. Our Canadian stores are operated under the brand name of Moores in ten provinces. Our purpose is we help people love the way they look and feel for their most important moments. We accomplish this by putting customers at the center of every decision, rallying together to achieve common goals, and striving for excellence and continuous improvement. We help fulfill this purpose by valuing differences and knowing they make us better and showing up with courage to always do the right thing. If you want to make a difference, be part of a great team and grow, you might be a perfect fit. About the Job We currently have an exciting opportunity for Data Scientist - Machine Learning, to join our Enterprise Analytics team. In this role, you will work with stakeholders across the organization, including Data Engineering teams. You will leverage your Technical, Analytical, and Business acumen to help data-driven decision-making. Projects will range from long-term data products that utilize advanced analytics and machine learning capabilities to short-term analytics that help stakeholders with tactical day-to-day decision-making. You will have the opportunity to work on high-priority data science and analytics projects that move the needle within the organization and witness the impact of your work firsthand. What You'll Do | Key Accountabilities * Partner closely with the other Data Scientists and Data Engineers on the team to produce machine learning models, statistical models, and complex statistical analyses. * Develop code in the Vertex.ai platform for machine learning model training, deployment, and integration. * Design, validate, and improve data-driven decision-making processes and strategies. * Build key metrics and modeling reports for communication with executives. * Deliver actionable strategic and tactical recommendations in a consultative approach to support business objectives. * Present analysis conclusions to team members and senior management in a clear, interpretable, and applicable way. * Expand our capabilities so we can be smart in leveraging predictive analytics / ML algorithms. Contribute to building a comprehensive customer 360 view. * Evaluate opportunities to enhance data and capabilities by identifying 3rd party resources, systems, and tools. What You'll Bring | Skills & Experience * Bachelor's degree with 3+ years of relevant work experience or a master's degree in applied Statistics, Data Science, or Business Analytics * Need to understand applied statistics and machine learning using Python and/or R. * Need to be proficient with understanding and creating data pipelines using SQL. * Understanding of MLOps practices, data warehousing, data modeling, and data architecture principles * Need to know how to create visual tools and dashboards using Power Bi,Tableau or equivalent tools. * Understand and translate business objectives and goals into measurement strategies, Analytics, and reporting requirements to be consumed by our stakeholders. Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered. Work Environment, Physical & Mental Demands * Ability to sit and work at a computer keyboard for extended periods of time. * Ability to stoop, kneel, bend at the waist, and reach daily. * Able to lift and move up to 25 pounds occasionally. * Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment. * Hours regularly 40 hours per week, as work dictates from a remote office location with the ability for occasional travel for team meetings and events. Benefits This role is eligible for health, dental and vision insurance, prescription drug, retirement savings (401k, employer-funded retirement plans, deferred compensation, and other defined-benefit or defined-contribution), life insurance, accident and disability, paid time off for sick leave, vacation (80 hours per year), bereavement, jury duty, holidays (9 days per year), wellbeing program, commuter, adoption assistance, legal services, and employee merchandise discounts. Work-Life Balance We understand the demands of work, school, family, and personal responsibilities. Through our work-life resources and programs we offer services for every stage of life to help you manage the day-to-day needs. We offer programs such as: * Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development. * Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend. * Holiday Early Departure | close out early the business day before a company observed holiday. The starting salary for this position is $80,700 - $110,000. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $168,200. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable. Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job.

This advertisement is for a Research Data Analyst II position at POSED - CPOST, located on Goethe Road, Sacramento County. 048-113-5731-001. Duty Statement attached for your review. Limited Term 12 months. May be extended additional 12 months or become permanent. Please Note: Main communication for this position will be through email. Please ensure you have a valid email address on your application. CDCR/CCHCS employees are encouraged to use their existing CDCR email address on their job application. A Supplemental Questionnaire (SQ) is required. Please refer to the "Supplemental Questionnaire Instructions" section below for specific document instructions. All application packages must include the required SQ, as instructed, to be considered for an interview. Application packages without the required SQ, as instructed, will be automatically screened out. This position is eligible for a hybrid telework schedule for employees who can satisfactorily perform their essential work functions independently and remotely. Specific telework schedules may be discussed further during the interview process. Telework is only available to residents of California. Please be advised that telework designations are subject to change at any time per Hiring Authority direction. Applications received without a completed Employment History section of application or "see Resume" indicated may be automatically screened out and not be considered. Please include a copy of your college transcripts or degree if applicable for minimum qualifications and/or eligibility determination. Individuals who are eligible for Training and Development may be considered for this position. Candidate pool may be screened to determine the most qualified candidates for potential interviews. ALL HIRES ARE SUBJECT TO HIRING FREEZE AND/OR BUDGET APPROVAL. You will find additional information about the job in the Duty Statement. Working Conditions About the location - Peace Officer Selection and Employee Development - Commission on Correctional Peace Officer Standards and Training - facilitates the statewide Apprenticeship Program for all correctional peace officer classifications which include Correctional Officer, Parole Agent, Correctional Counselor, and Fire Captain. CPOST develops, approves, and monitors standards for the selection and training of state correctional peace officers up to and including second-line supervisors. PHYSICAL LOCATION - 10000 Goethe Road, Suite C1, Sacramento County. The position(s) is eligible for hybrid telework, in accordance with the Statewide Telework Policy and will be required to report to the office as needed/required. The successful candidate must reside in California upon appointment. Minimum Requirements You will find the Minimum Requirements in the Class Specification. * RESEARCH DATA ANALYST II Additional Documents * Job Application Package Checklist * Duty Statement Position Details Job Code #: JC-501178 Position #(s): 048-113-5731-001 Working Title: RESEARCH DATA ANALYST II Classification: RESEARCH DATA ANALYST II $6,647.00 - $8,325.00 A New to State candidates will be hired into the minimum salary of the classification or minimum of alternate range when applicable. # of Positions: 1 Work Location: Sacramento County Telework: Hybrid Job Type: 12 Month Limited Term - Full Time Facility: Office of Training and Professional Dev. Department Information Department of Corrections and Rehabilitation Peace Officer Selection and Employee Development (POSED) Commission on Correctional Peace Officer Standards and Training Vision: We enhance public safety and promote successful community reintegration through education, treatment, and active participation in rehabilitative and restorative justice programs. Mission: To facilitate the successful reintegration of the individuals in our care back to their communities equipped with the tools to be drug-free, healthy, and employable members of society by providing education, treatment, rehabilitative, and restorative justice programs, all in a safe and humane environment. The California Department of Corrections and Rehabilitation (CDCR) and California Correctional Health Care Services (CCHCS) are committed to building an inclusive and culturally diverse workplace. We are determined to attract and hire more candidates from diverse communities and empower all employees from a variety of backgrounds, perspectives, and personal experiences. We are proud to foster inclusion and drive collaborative efforts to increase representation at all levels of the Department. CDCR and CCHCS strive to collaborate with the community to enhance public safety and promote successful community reintegration through education, treatment and active participation in rehabilitative and restorative justice programs. Incumbents establish and maintain cooperative working relationships within the department, other governmental agencies, health care partners, and communities. Special Requirements Do not include any confidential information on any documents you submit for a job vacancy, such as your State application, resume, or educational transcripts. Confidential information that should be excluded or removed from these documents includes, but is not limited to, your Social Security Number (SSN), birthdate, student identification number, driver's license number (unless required), basis of eligibility, examination results, LEAP status, marital status, and age. Confidential information on the first page of applications submitted electronically online, such as Easy ID number, SSN, examination related information, and driver's license number will automatically be redacted upon submission. Possession of Minimum Qualifications will be verified prior to interview and/or appointment. If you are meeting Minimum Qualifications with education, you should include your unofficial transcripts/diploma for verification. Official transcripts may be required upon appointment. If it is determined an applicant does not meet the Minimum Qualifications, the candidate will be withheld from the eligibility list, rendering them inactive and ineligible to be hired for the position. Candidates who have been withheld may file an appeal with the State Personnel Board. Applicants who completed their education outside of the US (with foreign degrees/transcripts) must obtain and submit verification of U.S. course/degree equivalency. Foreign education credential evaluation services can be found at NACES | National Association of Credential Evaluation Services. Candidates new to CDCR/CCHCS are required to submit to a background investigation process utilizing Live Scan Fingerprinting, as well as a Tuberculosis test/evaluation prior to appointment, followed by department annual Tuberculosis testing/evaluation thereafter. When submitting supporting documents, PDF file format is preferred. This advertisement may be used for other vacancies that occur during the life of this recruitment. Application Instructions Completed applications and all required documents must be received or postmarked by the Final Filing Date in order to be considered. Dates printed on Mobile Bar Codes, such as the Quick Response (QR) Codes available at the USPS, are not considered Postmark dates for the purpose of determining timely filing of an application. Final Filing Date: 12/22/2025 Who May Apply Individuals who are currently in the classification, eligible for lateral transfer, eligible for reinstatement, have list or LEAP eligibility, are in the process of obtaining list eligibility, or have SROA and/or Surplus eligibility (please attach your letter, if available). SROA and Surplus candidates are given priority; therefore, individuals with other eligibility may be considered in the event no SROA or Surplus candidates apply. Individuals who are eligible for a Training and Development assignment may also be considered for this position(s). Applications will be screened and only the most qualified applicants will be selected to move forward in the selection process. Applicants must meet the Minimum Qualifications stated in the Classification Specification(s). How To Apply Complete Application Packages (including your Examination/Employment Application (STD 678) and applicable or required documents) must be submitted to apply for this Job Posting. Application Packages may be submitted electronically through your CalCareer Account at ********************** When submitting your application in hard copy, a completed copy of the Application Package listing must be included. If you choose to not apply electronically, a hard copy application package may be submitted through an alternative method listed below: Address for Mailing Application Packages You may submit your application and any applicable or required documents to: Peace Officer Selection and Employee Development Office of Training and Professional Dev. Attn: Linda Srisamone Office of Training and Professional Development 9850 Twin Cities Road Galt, CA 95632 Address for Drop-Off Application Packages You may drop off your application and any applicable or required documents at: Peace Officer Selection and Employee Development Office of Training and Professional Dev. Linda Srisamone Office of Training and Professional Development 9850 Twin Cities Road Galt, CA 95632 Application drop box located in main Administration building. 08:00 AM - 05:00 PM Required Application Package Documents The following items are required to be submitted with your application. Applicants who do not submit the required items timely may not be considered for this job: * Current version of the State Examination/Employment Application STD Form 678 (when not applying electronically), or the Electronic State Employment Application through your Applicant Account at ********************** All Experience and Education relating to the Minimum Qualifications listed on the Classification Specification should be included to demonstrate how you meet the Minimum Qualifications for the position. * Resume is optional. It may be included, but is not required. * Other - A Supplemental Questionnaire is required and must be submitted with your Examination / Employment Application (STD. 678). Applications received without an appropriate Supplemental Questionnaire based on the instructions below will be rejected for being incomplete and will not be considered. Resumes, cover letters, and other documents will not be considered as a response to the Supplemental Questionnaire. Please refer to the "Supplemental Questionnaire" section below for specific requirements. For helpful guidance on writing an effective SOQ or a Supplemental Questionnaire, please visit Work4CA: How to Write a Statement of Qualifications Applicants requiring reasonable accommodations for the hiring interview process must request the necessary accommodations if scheduled for a hiring interview. The request should be made at the time of contact to schedule the interview. Questions regarding reasonable accommodations may be directed to the EEO contact listed on this job posting. Desirable Qualifications In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate: Willingness to create and promote an equitable and inclusive workplace where diversity is celebrated and valued. Benefits Benefit information can be found on the California Department of Human Resources (CalHR) website, **************** , and the CalPERS website, ****************** . Information on benefits afforded by membership in the California Public Employees' Retirement System can be found on the CalHR Salary and Benefits website at ****************/employees/pages/salary-and-benefits.aspx . Information on the benefits and protections provided to public employees by the State Civil Service Act can be found on the CalHR website at https://****************/Training/Pages/performance-management-merit-system-principles.aspx Additional benefit information can be found on the CalHR California State Civil Service Employee Benefits Summary website at https://****************/Pages/California-State-Civil-Service-Employee-Benefits-Summary.aspx This webpage is intended to provide general information. Benefit eligibility may be based on job classification, bargaining unit, time base and length of appointment. Contact Information The Human Resources Contact is available to answer questions regarding the position or application process. Human Resources Contact: Linda Srisamone ************** ext: 4516 *************************** Please direct requests for Reasonable Accommodations to the interview scheduler at the time the interview is being scheduled. You may direct any additional questions regarding Reasonable Accommodations or Equal Employment Opportunity for this position(s) to the Department's EEO Office. EEO Contact: Stephanie Chance ************** **************************** California Relay Service: ************** (TTY), ************** (Voice) TTY is a Telecommunications Device for the Deaf, and is reachable only from phones equipped with a TTY Device. ELIGIBILITY EXAMINATION INFORMATION EXAMINATION INFORMATION To obtain list eligibility for the Research Data Analyst II, before applying for the position, you should first take and pass the Research Data Analyst II exam: ******************************************************************************** SUPPLEMENTAL QUESTIONNAIRE INSTRUCTIONS The required Supplemental Questionnaire (SQ) will document your ability to follow instructions and your ability to present written information clearly and concisely as well as your knowledge/experience regarding the requested information. DOCUMENT FORMATTING INSTRUCTIONS: * No longer than three (3) typewritten pages * Titled "CPOST Research Data Analyst II" * Your name in upper right-hand corner of each page * Arial 12-point font * Restate and number the four (4) questions below and provide responses for each question CONTENT REQUESTED: Please respond to the following prompts. * Describe your experience using EXCEL to create data tables. * Describe your experience analyzing data to make decisions and create goals to assist in data gaps. * Describe your experience in pulling data and creating data tables. * Provide a description of how your background, training, education, experience, and skills qualify you for the position you are applying for. * Resumes, cover letters or other documents will not be accepted as response for the required Supplemental Questionnaire. Equal Opportunity Employer The State of California is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation. It is an objective of the State of California to achieve a drug-free work place. Any applicant for state employment will be expected to behave in accordance with this objective because the use of illegal drugs is inconsistent with the law of the State, the rules governing Civil Service, and the special trust placed in public servants.

REQUIRED QUALIFICATIONS: * Undergraduate student must be registered/enrolled in a minimum of six (6) Fall/Spring units. * Must meet all other eligibility requirements per Unit 11-Academic Student Employee Hiring Policies (see *********************************** academic-student-employee-hiring-information) PREFERRED QUALIFICATIONS: * Must be currently accepted as an CSU-SPA participant. * Must submit a research proposal, with a faculty member, before hiring. * Must submit a current CITI Certificate before hiring (see **************** program.org) HOW TO APPLY & DEADLINE: A complete application must include a resume, available work schedule and class schedule indicating required enrollment as per the Student Employment Policies (See *********************************** academic-student-employee-hiringinformation), a research proposal with a faculty member. Compile all the required material in one single PDF document and include it as a Supporting Information in your application. If you have any questions regarding this recruitment, please contact: Dr. Elvin Aleman CSU-SPA Program Director California State University, Stanislaus One University Circle Turlock, CA 95382 ******************* CAMPUS & AREA: California State University, Stanislaus serves the San Joaquin Valley and is a critical educational resource for a six-county region of approximately 1.5 million people. The University is fully committed to creating a culture of diversity and inclusion - one in which every person in the University community feels safe to express their views without fear of reprisal. Widely recognized for its quality academic programs, the University has 10 nationally accredited programs and 662 faculty members. 94 percent of full-time faculty holds doctorates or terminal degrees in their fields. The University offers 43 undergraduate majors, 16 master's programs, 7 post-graduate credentials, a doctorate in education and serves more than 10,000 students. New instructional facilities have been built for the unique pedagogy of professional programs, laboratory sciences and performing arts. Stanislaus State continues to receive national recognition with its ranking as one of the best 384 colleges in the nation by The Princeton Review. The University was one of 12 public universities in the nation to be recognized by the American Association of State Colleges and Universities for demonstrating exceptional performance in retention and graduation rates. In addition, U.S. News and World Report ranks Stanislaus State in its top 10 among public universities in the West, while Washington Monthly honored Stanislaus State as the West's No. 1 university for the money. Stanislaus State also is recognized as a Hispanic-Serving Institution (HSI) by the U.S. Department of Education. CSU Stanislaus values shared governance: Handbook statement on shared governance EQUAL EMPLOYMENT OPPORTUNITY The university is an Equal Opportunity Employer and does not discriminate against persons on the basis of race, religion, color, ancestry, age, disability, genetic information, gender, gender identity, gender expression, marital status, medical condition, National origin, sex, sexual orientation, covered veteran status, or any other protected status. You can learn more about federal equal employment opportunity protections by accessing the Department of Labor's notices: **************************************************************** and **************************************************************************** Individuals with disabling conditions who require accommodation during the recruitment process may contact the ADA Coordinator at **************. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. The CSU is a state entity whose business operations reside within the State of California. The CSU prohibits hiring employees to perform CSU-related work outside California. CLERY ACT DISCLOSURE Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the annual security report (ASR), is now available for viewing at ************************************************ The ASR contains the current security and safety-related policy statements, emergency preparedness and evacuation information, crime prevention and sexual assault prevention information, and drug and alcohol prevention programming. The ASR also contains statistics of Clery Act crimes for Stanislaus State for the previous three years. A paper copy of the ASR is available upon request by contacting the office of the Clery Director located at One University Circle, Turlock, CA 95382. CRIMINAL BACKGROUND CLEARANCE NOTICE The university requires a criminal and/or child abuse background check to be completed for many of its new employees, current employees seeking promotional or transfer opportunities, and current employees assigned new duties. Satisfactory completion of a background check (including a criminal records check) is required for employment. CSU will make a conditional offer of employment, which may be rescinded if the background check reveals disqualifying information, and/or it is discovered that the candidate knowingly withheld or falsified information. Failure to satisfactorily complete the background check may affect the continued employment of a current CSU employee who was conditionally offered the position. Failure to consent to any background check will disqualify an applicant from further consideration. Additionally, an applicant who fails to provide the necessary information or who provides false or misleading information may also be disqualified from further consideration. Later discovery of false or misleading information related to the background check may result in the offer of employment being withdrawn or subject the employee to disciplinary action, up to and including termination. Advertised: Aug 14 2025 Pacific Daylight Time Applications close:

Instructional Student Assistant Employment Opportunity : ***OPEN TO CURRENT STANISLAUS STATE STUDENTS, CURRENTLY ENROLLED OR ELIGIBILE TO ENROLL ONLY*** CSU-SPA Research Intern The CSU-SPA program invites students to apply for the Research Intern position to conduct independent research under mentorship. Job Description: This position will perform duties to include, but not limited to: * Conduct independent scholarly research under the mentorship of a faculty member. * Report on progress of research as requested. * Complete a written report of progress at the end of each semester. * Complete all required paperwork. * Perform other duties or projects as assigned. Wage/Salary: $18.06/hr Hours per Week: 5-20 Location: N 375 # of Openings: 5 Expected Start Date: 09.01.25 Expected End Date: 12.19.25 Point of Contact Person: Elvin Aleman Deadline to Apply: Until Filled REQUIRED QUALIFICATIONS: * Undergraduate student must be registered/enrolled in a minimum of six (6) Fall/Spring units. * Must meet all other eligibility requirements per Unit 11-Academic Student Employee Hiring Policies (see *********************************** academic-student-employee-hiring-information) PREFERRED QUALIFICATIONS: * Must be currently accepted as an CSU-SPA participant. * Must submit a research proposal, with a faculty member, before hiring. * Must submit a current CITI Certificate before hiring (see **************** program.org) HOW TO APPLY & DEADLINE: A complete application must include a resume, available work schedule and class schedule indicating required enrollment as per the Student Employment Policies (See *********************************** academic-student-employee-hiringinformation), a research proposal with a faculty member. Compile all the required material in one single PDF document and include it as a Supporting Information in your application. If you have any questions regarding this recruitment, please contact: Dr. Elvin Aleman CSU-SPA Program Director California State University, Stanislaus One University Circle Turlock, CA 95382 ******************* CAMPUS & AREA: California State University, Stanislaus serves the San Joaquin Valley and is a critical educational resource for a six-county region of approximately 1.5 million people. The University is fully committed to creating a culture of diversity and inclusion - one in which every person in the University community feels safe to express their views without fear of reprisal. Widely recognized for its quality academic programs, the University has 10 nationally accredited programs and 662 faculty members. 94 percent of full-time faculty holds doctorates or terminal degrees in their fields. The University offers 43 undergraduate majors, 16 master's programs, 7 post-graduate credentials, a doctorate in education and serves more than 10,000 students. New instructional facilities have been built for the unique pedagogy of professional programs, laboratory sciences and performing arts. Stanislaus State continues to receive national recognition with its ranking as one of the best 384 colleges in the nation by The Princeton Review. The University was one of 12 public universities in the nation to be recognized by the American Association of State Colleges and Universities for demonstrating exceptional performance in retention and graduation rates. In addition, U.S. News and World Report ranks Stanislaus State in its top 10 among public universities in the West, while Washington Monthly honored Stanislaus State as the West's No. 1 university for the money. Stanislaus State also is recognized as a Hispanic-Serving Institution (HSI) by the U.S. Department of Education. CSU Stanislaus values shared governance: Handbook statement on shared governance EQUAL EMPLOYMENT OPPORTUNITY The university is an Equal Opportunity Employer and does not discriminate against persons on the basis of race, religion, color, ancestry, age, disability, genetic information, gender, gender identity, gender expression, marital status, medical condition, National origin, sex, sexual orientation, covered veteran status, or any other protected status. You can learn more about federal equal employment opportunity protections by accessing the Department of Labor's notices: **************************************************************** and **************************************************************************** Individuals with disabling conditions who require accommodation during the recruitment process may contact the ADA Coordinator at **************. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. The CSU is a state entity whose business operations reside within the State of California. The CSU prohibits hiring employees to perform CSU-related work outside California. CLERY ACT DISCLOSURE Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the annual security report (ASR), is now available for viewing at ************************************************ The ASR contains the current security and safety-related policy statements, emergency preparedness and evacuation information, crime prevention and sexual assault prevention information, and drug and alcohol prevention programming. The ASR also contains statistics of Clery Act crimes for Stanislaus State for the previous three years. A paper copy of the ASR is available upon request by contacting the office of the Clery Director located at One University Circle, Turlock, CA 95382. CRIMINAL BACKGROUND CLEARANCE NOTICE The university requires a criminal and/or child abuse background check to be completed for many of its new employees, current employees seeking promotional or transfer opportunities, and current employees assigned new duties. Satisfactory completion of a background check (including a criminal records check) is required for employment. CSU will make a conditional offer of employment, which may be rescinded if the background check reveals disqualifying information, and/or it is discovered that the candidate knowingly withheld or falsified information. Failure to satisfactorily complete the background check may affect the continued employment of a current CSU employee who was conditionally offered the position. Failure to consent to any background check will disqualify an applicant from further consideration. Additionally, an applicant who fails to provide the necessary information or who provides false or misleading information may also be disqualified from further consideration. Later discovery of false or misleading information related to the background check may result in the offer of employment being withdrawn or subject the employee to disciplinary action, up to and including termination.

Job DescriptionThe AEC Marketing internship is an opportunity like no other. Here you will have the opportunity to learn and develop crucial skills in sales, persuasion, work ethic, and professional communication. Completing the AEC program will allow you to fill your resume with real numbers, data and professional experiences. Don't wait, get a head start and come join the team today! Responsibilities & Expectations Develop, refine and master sales and communication skills Successfully engage with clients and provide necessary support for success Promote like-minded success through friendly competition and growth mindset training Be coachable Promote positivity and creative thinking in order to help your team's sales and customer service processes Qualifications & Skills Verbal communication Organization Scheduling Time management Professionalism Customer focus Earnings & Company Benefits Average First Year earns $ 25,000-$30,000 in commission (Realistic opportunity to make more) Multiple extra bonuses, competitions, incentives/prizes and opportunities are available Housing/furniture set up for all our employees Networking opportunities Potential opportunity for full-time upon hiring The opportunity to network with like-minded Individuals from all over the country Health and Dental Lifetime gym membership Leadership development The opportunity to live in The San Francisco Bay Area. E04JI802qmf3407o4mn

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role The Recommendations Data Science Team at Gap Inc. leverages advanced machine learning to power customer experiences across our digital platforms through personalized product recommendations. Our mission is to build scalable, production-ready recommendation systems that support brand strategies and drive engagement and conversion for Gap Inc. and its family of brands. In this high impact role, you will build data pipelines and help to build and deploy deep learning models that power real-time personalization, optimize product ranking, and improve recommendation relevance across our digital platform. You will work closely with GapTech, Product Management, and business partners to ship recommendations optimizations that delight our customers. What You'll Do * Develop and deploy automated large-scale ETL pipelines that power state of the art recommendations algorithms * Collaborate with other data scientists in the team to assist in building AI (ML / Deep Learning) models, iterating on new experimental ideas, and building statistical approaches to evaluate model performance * Manage unit testing and integration testing frameworks using pytest to ship bug-free code * Build and maintain dashboards in GCP, Databricks, etc. to monitor the health of the deployed recs systems * Collaborate with non-technical teams such as Product and brands to translate model performance improvements into potential business impact Who You Are * Advanced proficiency using SQL, Python, and Spark for designing and maintaining data pipelines for model training and inference, with a focus on writing production-quality code * Keen interest to work cross-functionally across MLOps and Engineering to deploy models to production * Experience with ML and classical predictive techniques such as logistic regression, decision trees, nonlinear regressions, ANN/CNN, boosted trees, SVM, visualization packages, and a track record for creating business impact with these methods * Prior experience in applying deep learning techniques (using PyTorch and Tensorflow) and contextual bandits highly desirable * Exposure to Azure, GCP, Databricks, Kubernetes, Cosmos, New Relic, Grafana a bonus Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $109,600 - $137,000 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.