Data Science Internship Jobs in Fresno, CA

Kindred is a members-only home swapping network that unlocks the ability to live a travel-rich lifestyle through the power of community. By exchanging primary residences with trusted peers, renters and owners alike can match with Kindred spirits and explore new destinations without breaking the bank. We are on a mission to build a sharing economy that lives up to the name, and we've raised significant capital from some of the best investors in Silicon Valley, including Index Ventures, Andreessen Horowitz, New Enterprise Associates, Bessemer Venture Partners, Caffeinated Capital, Elad Gil, and the founders of Opendoor, Figma, ClassPass, Clubhouse, Divvy, Gem, and Homebound. The co-founders are proven leaders from the early team at proptech company Opendoor ($15B+ exit) and have each separately built and scaled products that today do $1B+ annual revenue combined. We're looking for the world's top builders, executors, and believers to join us on this ride. You can learn more about us in Forbes and TechCrunch. The Role: This role offers an exceptional opportunity to shape the future of Kindred by directly influencing our core business strategy-from growth to operations. You will collaborate closely with a top-tier team of executives and engineers to tackle some of Kindred's most complex challenges, including optimizing the credit economy, balancing inventory, and refining dynamic pricing. We're looking for someone who thrives both as a hands-on individual contributor and leader, capable of diving deep into complex problems while building a world-class data science team. This role requires a rare combination of technical acumen, strategic foresight, and leadership excellence, with the potential to create a lasting, transformative impact on Kindred's success. Some of the challenges you will tackle include: Dispatch Priority: In a system without cash exchanges, Kindred requires an innovative “match” system to determine member booking priority based on factors such as home demand, similarity, and user reputation. Think of it similar to dispatch models for ride-sharing apps - ensuring the best possible matches while optimizing the member experience. Inventory Balance: Kindred's unique model, where every guest is also a host, means supply and demand are intrinsically linked - we cannot add a unit of supply without also adding a unit of demand. You will work closely with the marketing team to monitor and balance inventory, deploying various product and credit strategies to optimize the flywheel. Dynamic Pricing: You'll leverage market data to define and implement pricing strategies, ensuring Kindred delivers undeniable value to our members while meeting profitability targets. Intelligent Automation: You will lead the development and deployment of AI-driven solutions, such as an AI assisted concierge, to streamline customer support operations and enhance margins-while maintaining an exceptional, best-in-class member experience. You may be a right fit for this role if you: Have at least 10+ years of experience in data science, or a related field, with a strong background in leading complex, cross-functional projects and driving data-driven decision-making. MS / PhD in a quantitative discipline (e.g., Economics, Statistics, Machine learning) Demonstrate strategic foresight and are able to think beyond the immediate challenge. You can balance both short-term tactical priorities with long-term goals and strategically navigate competing demands. Have experience building and leading high-performing teams. You are capable of mentoring and growing a world-class data science team while working collaboratively with executives and other teams to drive company-wide impact. Are results-oriented and have a proven track record of delivering innovative, data-driven solutions that impact business performance, such as dynamic pricing models, inventory optimization, or customer segmentation. Have excellent communication skills and can clearly articulate complex data science concepts to non-technical stakeholders. You can effectively present insights, recommendations, and technical roadmaps to executives and other teams. Are customer-centric, with a deep understanding of how data science can enhance the user experience. You have a keen focus on delivering value to members while improving operational efficiency. Thrive in an entrepreneurial environment and are excited about the opportunity to build and scale solutions in fast-paced environment. Our Benefits: At Kindred, we know that good things happen when we look out for one another. We offer our employees the following benefits: Our opening spans more than one career level. The base salary offered depends on many factors, such as work experience, transferable skills, business needs and impact, and market demands. A vibrant, inclusive, and highly skilled team that ferociously protects team chemistry A culture of championship (vs. just mentorship), feedback, and continual development Competitive cash compensation and equity Comprehensive health benefits Flexible vacation policy Unlimited credits to stay at Kindred homes during your time as an employee $4,000 annual travel stipend to use toward travel costs to stay at a Kindred home Remote-flexible work environment. We encourage team members to travel and adventure, including working from Kindred HQ in San Francisco! Regular offsites to co-locate with the team

Job Title: Senior Data Analyst Onsite/ Remote: Day 1 Onsite at customer location Job Description: Senior Data Analyst A Dynamics 365 data analyst is responsible for extracting, analyzing, and interpreting data within the Dynamics 365 platform, using this information to generate actionable insights and reports that inform business decisions, often focusing on areas like sales performance, customer behavior, and marketing campaign effectiveness, while utilizing tools like Power BI and SQL to manipulate and visualize the data effectively; key duties include data collection, data cleaning, statistical analysis, report creation, and collaborating with stakeholders to understand business needs and identify key metrics to track. Key Responsibilities: Data Extraction and Cleaning: Accessing data from various Dynamics 365 modules (Sales, Marketing, Customer Service) Identifying and addressing data quality issues, including duplicates and inconsistencies Data transformation and manipulation to prepare it for analysis Statistical Analysis: Performing statistical analysis using appropriate techniques to identify trends and patterns within the data Calculating key performance indicators (KPIs) relevant to business objectives Reporting and Visualization: Developing comprehensive reports and dashboards using Power BI or other visualization tools Creating interactive and user-friendly visualizations to effectively communicate insights to stakeholders Business Insights and Recommendations: Interpreting data analysis results to identify actionable insights and business opportunities Communicating key findings and recommendations to relevant teams to inform decision-making Collaboration and Stakeholder Management: Working closely with business users to understand their data needs and requirements Gathering feedback on reports and dashboards to ensure alignment with business objectives Data Governance and Maintenance: Ensuring data integrity and compliance with data governance policies Monitoring data quality and implementing necessary data cleansing procedures Technical Skills: Proficiency in Microsoft Power BI: Creating and managing data visualizations within Power BI SQL Querying Skills: Writing complex SQL queries to extract and manipulate data from Dynamics 365 Data Analysis Tools: Familiarity with statistical analysis techniques and tools like Excel, R, or Python Dynamics 365 Platform Knowledge: Understanding the structure and functionalities of different Dynamics 365 modules

Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and are on track to reach the Top 20 by 2025, with an expanding global footprint in the US (New York, Boston, Chicago, Tampa, Charlotte, Dallas, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. Position Overview: BIP US is seeking to grow its US consulting team and is looking for a Data Scientist with 5-7 years of experience to join our BIP Bay Area consulting team. This consultant will work at the intersection of Finance and Engineering, helping us optimize revenue, track key financial metrics, and improve decision-making with data-driven insights. This consultant must thrive in fast-paced environments, have a passion for digging into data to drive business strategy, and be able to bridge the gap between Finance and Engineering. You must have valid US work authorization and must physically reside in the Bay Area, within a 50-mile commute. We are unable to support relocation costs. Please do not apply for this position unless you meet the criteria outlined above. Key Responsibilities: Usage-Based Billing Analysis - Develop and refine billing models by product, ensuring alignment between revenue and usage data. Tracking Credits & Cost Margin Analysis - Monitor credit usage and analyze cost margins to optimize pricing strategies. Churn Modeling & Customer Retention - Build predictive models to identify risk factors for customer churn and develop strategies to improve retention. Agent Conversion Analytics - Analyze user behavior and engagement data to improve conversion rates from free to paid customers. Cycle Tracking & ARR Waterfall - Monitor customer lifecycle trends, track Annual Recurring Revenue (ARR) movements, and forecast financial outcomes. Cross-functional Collaboration - Work closely with Finance, Product, and Engineering teams to ensure data insights drive strategic business decisions. Qualifications: Bachelor's degree and 5-7 years of experience in Data Science, Analytics, or a related field. Strong expertise in data analytics, financial modeling, and business intelligence. Experience with programs & tools such as Hashboard, Amplitude, Stripe, Google, Apple, DBT Labs, Bitquery, and Python. Exceptional communication and storytelling skills - ability to present complex data in a clear and compelling way to executives. Strong problem-solving skills with a curious and proactive mindset -analyzing data, asking the right questions and finding solutions accordingly. Experience working cross-functionally with Finance (CFO/FP&A) and Engineering teams. Ability to thrive in ambiguity and adapt quickly in a high-growth startup environment. **The base salary range for this role is $150,000-$175,000** Benefits: Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 9 public holidays. 22 days PTO. PTO buy and sell program. Volunteer days. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit ********************************* Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

Brahma Consulting Group is a Recruitment firm powered by a mission to deliver personalized, industry-focused recruitment solutions. We are currently assisting our client, a global leader in enterprise-grade data analytics and AI solutions, in their search for a Data Scientist in Mountain View, CA. This is a full-time permanent position. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) 3+ Years of Banking / Payments analytics experience preferably in a consulting set-up Strong experience of developing and deploying Predictive/ML solutions Proficiency in SQL, Tableau, Python Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms Excellent communication skills and strong stakeholder management experience Strong problem-solving skills Proficiency in Mandarin is a plus

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Senior Data Scientist Location: San Jose, California Duration: Fulltime Job Summary: Key Responsibilities: We are looking for an experienced Senior Data Scientist with 10 to 12 years of experience in data science specializing in machine learning python statistical modelling and big data technologiespyspark sql The ideal candidate will have a strong background in developing and deploying machine learning models optimizing ML pipelines and handling largescale structured and unstructured data to drive business impact Deep understanding of supervised and unsupervised learning including regression classification Multiclass classification clustering and NLP Proficiency in statistical analysis AB testing and causal inference techniques Experience with model deployment and MLOps in cloud environments AWS GCP Key Responsibilities Develop and deploy machine learning models and predictive analytics solutions for business impact Work with largescale structured and unstructured data to extract insights and build scalable models Design implement and optimize ML pipelines for realtime and batch processing Collaborate with engineering product and business stakeholders to translate business problems into data science solutions Apply statistical modeling AB testing and causal inference techniques to evaluate business performance Apply machine learning and statistical techniques for audience segmentation helping to identify patterns and optimise business strategies Drive research and innovation by staying updated with cuttingedge MLAI advancements and incorporating them into our solutions Optimize data science models for performance scalability and interpretability in production environments Mentor junior data scientists and contribute to best practices in data science and engineering Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

Job Title: Senior Data Scientist (MarTech) Duration: 12+ months Contract (Potential to extend) Pay: $100/$110/Hr on W2 (depends upon experience) MarTech Data Science Measurement empowers Client to optimize marketing ROI by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our team's tenets are: Actionable: Deliver insights that drive confident business decisions. Impactful: Prioritize projects based on their expected value to Client. Balanced: Adapt methods to business questions and data realities, acknowledging limitations. Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. Innovative: Invest in advancing measurement science and developing new methods. Influential: Share learnings across Client and the broader data science community. The difference you will make: We are seeking an experienced Data Scientist with deep expertise and experience building data pipelines and automating measurement systems. The ideal candidate will have experience working with Apache Airflow and Spark, as well as a comprehensive understanding of SQL. They are expected to be fluent in multiple statistical programming languages, particularly R and Python. They should also be familiar with causal inference methodologies, including experimental and observational approaches. The ideal candidate will be capable of hands-on data work to produce insights and recommendations for stakeholders, driving impactful decisions in our marketing efforts. A typical day: Data Pipelines: Build novel data pipelines that accelerate the work of our data science team, including automating data validation, unit testing, and other common processes. Productionalizing Prototypes: Refine prototypes built by other scientists and prepare them to be productionalized within Client's systems. Causal Inference: Apply and develop causal inference methods, especially around MMM, to estimate the effectiveness of Client's marketing initiatives. Data Analysis: Conduct data pulls, analyze trends, and create new features to support measurement efforts. Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies. Your expertise: PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience. Deep knowledge of data management tools, systems, and processes, including Apache Airflow and Spark. Proficiency in statistical programming (Python and R) and database usage (SQL). Experience with media mix modeling (MMM). Ability to communicate complex concepts clearly to stakeholders at varying technical levels. Proven track record of solving business problems through data science methods. Preferred expertise: Passion for marketing and consumer science, with a desire to stay informed about the latest advances in the field. Familiarity with Bayesian modeling and its applications in marketing. Experience with causal ML modeling. Experience in developing end-to-end models for data-driven decision-making.

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are seeking a talented and driven individual to accelerate our efforts and contribute to LinkedIn's data-centric culture. In this role, you will tackle a wide range of technical challenges spanning products, engineering, research, data engineering, finance, and infrastructure. Leveraging data and analysis, you will address critical challenges within our infrastructure organization, shaping product strategy and guiding investment decisions with data-driven insights. LinkedIn's infrastructure is the backbone of our operations, encompassing datacenters, servers, network infrastructure, power systems, and foundational software platforms that power our products and services. Responsibilities • Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. • Analyze large-scale structured and unstructured data. • Develop methodologies to enhance LinkedIn's operations and platform capabilities. • Apply technical expertise to our forecasting and capacity planning process to seek opportunities of improvement • Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. • Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. • Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. • Initiate and drive projects to completion independently. • Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals. • Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company. • Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews. Basic Qualifications: • Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. • 5+ years of industry or relevant academia experience • Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications: • 7+ years of industry or relevant academia experience • MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. or other quantitative field. • Experience in infrastructure planning, operations research, or a related field • Familiarity with cloud computing platforms and infrastructure management systems. Suggested Skills • Statistical Modeling • Forecasting • Programming • Data Analysis • Infrastructure Planning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Job Title: Engineer: Performance - II Contract - W2 Duration: 1+ Year or 18 Months Please share resume on **************************** Job Requirements/Responsibilities: We are seeking a skilled and detail-oriented Chromebook Benchmarking & Pathfinding Data Analyst to join our team. In this role, you will be responsible for performing rigorous benchmarking on Google Chromebooks. You also will be collecting critical path-finding data to evaluate performance. Finally, you will analyze your benchmarking results and communicate your findings to key stakeholders. Your insights will help us identify areas for improvement and drive product optimization on Qualifications: Bachelor's or M.S. degree in Engineering or a related field (Computer Engineering, Software Engineering, or Electrical Engineering preferred). 3 + years' experience Strong experience with Google Chrome OS and a deep understanding of its features, performance capabilities, and potential bottlenecks. Familiar with running benchmarks/workloads on Chromebooks Proficient in analyzing and interpreting technical data and generating actionable insights. Excellent communication skills, both written and verbal Ability to work independently and as part of a team

Reports To: CEO/Founder Type: Internship (Summer) We are a forward-thinking AI company focused on developing Domain-Specific Artificial Human-Like Assistants (AHLA). Our solutions leverage large language models (LLMs) and innovative alternative architectures to revolutionize industries with high-performance, cost-efficient AI. Through advanced training techniques and model distillation, we aim to reduce the Total Cost of Ownership (TCO) for training and inference by three orders of magnitude, while maintaining or exceeding human-level accuracy in highly specialized domains. As part of this effort, we are looking for an enthusiastic Data Science Intern to join our team for a summer internship. This is an exciting opportunity to get hands-on experience with cutting-edge AI research, machine learning techniques, and domain-specific applications, all while working with industry leaders to improve the accuracy, efficiency, and ethical standards of AI solutions. Position Overview As a Data Science Intern, you will assist in developing innovative data strategies and machine learning algorithms that optimize domain-specific AI models. You will work closely with the data science team to improve model accuracy, ensure data privacy, and help design scalable, high-performance AI models. This internship will provide exposure to real-world data science challenges in AI and offer a chance to learn from experienced professionals in the field. Key Responsibilities Data Strategy & Management: Assist in processing and cleaning domain-specific datasets to ensure accuracy and quality. Contribute to the development of data pipelines and frameworks for analyzing large datasets. Collaborate with the team to extract value from industry-specific data for model training and optimization. Privacy & Compliance: Help ensure that data collection, processing, and model training comply with privacy regulations (e.g., GDPR, HIPAA). Assist in developing privacy-preserving techniques such as federated learning and differential privacy. Model Training & Accuracy Improvement: Contribute to research on advanced machine learning algorithms for improving the accuracy and efficiency of AI models. Assist with applying techniques like distillation, transfer learning, and model compression to optimize AI models for specific domains. Client Engagement & Domain Expertise: Support client engagement efforts by understanding data needs and helping create AI models that meet specific business objectives. Help communicate complex data science concepts to non-technical stakeholders. TCO Optimization: Collaborate with technical teams to optimize model training, data processing, and inference for reduced Total Cost of Ownership (TCO). Explore cost-efficient data utilization strategies while maintaining model performance and accuracy. Research & Innovation: Stay informed about the latest advancements in machine learning, AI, and data science. Assist in evaluating new techniques, algorithms, and architectures for enhancing domain-specific AI models. Qualifications Education: Currently pursuing a Bachelor's, Master's, or Ph.D. in Data Science, Machine Learning, Computer Science, or a related field. Experience: Strong interest in machine learning, AI, and data science. Familiarity with data processing tools and techniques (e.g., Python, Pandas, TensorFlow, PyTorch). Basic understanding of machine learning algorithms, model evaluation, and optimization techniques. Exposure to privacy issues, compliance regulations (e.g., GDPR, HIPAA), and ethical AI is a plus. Skills & Expertise: Strong analytical and problem-solving skills. Experience with large-scale data cleaning, transformation, and analysis. Excellent communication skills with the ability to explain complex data science concepts to both technical and non-technical teams. Personal Attributes: Passion for AI and data science, and a strong desire to learn and innovate. Collaborative mindset with a focus on team success. Self-motivated, organized, and able to work independently when needed. Why Join Us? Work with a talented, passionate team at the cutting edge of AI and data science. Gain hands-on experience working with industry-specific data and applying machine learning algorithms to real-world challenges. Receive mentorship and guidance from experts in the field, with exposure to both the technical and strategic aspects of AI research. Competitive internship compensation and the potential for future opportunities within the company. This internship is an excellent opportunity for students or early-career professionals looking to gain practical experience in AI, machine learning, and data science, while contributing to the development of highly impactful AI technologies. How to apply Send your resume to ************************

Our client, a large entertainment studio, is looking for a skilled Data Analyst to work closely with stakeholders across Product, Engineering and Marketing to break down problems with hard data, make recommendations and communicate results clearly and concisely. This is a long-term contract that requires 5 days/week on-site in Los Angeles. Responsibilities: As a Data Analyst, work closely with stakeholders across Product, Engineering and Marketing to break down problems with hard data, make recommendations and communicate results clearly and concisely Lead transformational, high-impact data projects from ideation to implementation, ensuring alignment with strategic objectives Investigate issues that intersect revenue and technical areas by liaising with multiple teams and addressing root causes Design and automate impactful reports and dashboards, moving from data extraction and creating complex SQL queries for analysis as needed, to delivering actionable insights at scale Prototype and refine dashboards and analysis tools using data visual platforms like Looker and Tableau Demonstrate adaptability and problem-solving in ambiguous situations, providing actionable insights with support from managers and team members Required Qualifications: 5+ years' experience as a Data Analyst (preferably in tech, entertainment or finance) Tableau, Scripting, Python, ETL development experience Deep knowledge of SQL to extract and manipulate data or with other tools Experience in translating data into business recommendations and business questions into an analysis framework to executive level stakeholders Strong analytical problem-solving mindset; ability to bring structure to uncertainty Excellent written and verbal presentation skills; comfortable presenting findings to stakeholders If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn. Opportunity Awaits.

Research Engineer Intern, Evaluations & Benchmarks TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You'll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipeline optimization, and agentic decision-making in data workflows. Implement automated assessment frameworks for language model-based agents operating over data lakes and warehouses. Work with synthetic and real-world datasets to create robust testing environments for AI-driven data automation. Collaborate with research engineers to refine reward shaping strategies, guiding models toward more efficient and agentic behaviors in data-intensive tasks. What We're Looking For: Experience in language model research, with a focus on benchmarking LLMs in mission-critical domains. Strong background in AI evaluation methodologies, reinforcement learning, and RLHF techniques. Familiarity with benchmarking language models for structured and unstructured data tasks. Proficiency in Python and experience with ML frameworks like PyTorch or JAX. Hands-on experience with data lakes, warehouses, and data engineering tools (Snowflake, BigQuery, dbt, Spark, Kafka). High agency-proactive, resourceful, and comfortable working in a fast-paced research environment with minimal supervision. Attention to detail-ability to design rigorous, reproducible experiments and evaluations. Bonus Points: Contributions to open-source AI benchmarks (e.g., SweBench, BIRD, SPIDER). Contributions to open-source agentic frameworks. Experience developing custom RL environments for AI evaluation. Strong understanding of ETL, ELT, and data transformation pipelines. Benefits: Competitive internship stipend. 100% employer-covered health, dental, and vision insurance (for eligible interns). Access to Bay Club or Equinox in San Francisco. Opportunity to work at the cutting edge of AI evaluations and autonomous data engineering research.

TikTok Shop LA Top Agency - New Beginnings Creator Network is Hiring a BD Intern Job Responsibilities Assist in expanding TikTok Shop merchant resources and maintain relationships with merchants and brands. Participate in brand business collaborations on TikTok Shop, supporting the BD team in planning and executing partnership proposals. Track client requirements, collect feedback, and assist in optimizing merchant livestream and short video strategies. Support data analysis, assist in preparing BD reports, and provide market insights. Create high-quality PowerPoint presentations to support the team in proposal demonstrations and business pitches. Job Requirements Proficient in English and Chinese with strong communication and business negotiation skills. Skilled in PowerPoint with the ability to create professional business presentation materials. Strong team spirit, ability to work under pressure, and clear logical thinking. Available for onsite internship at least 3 days per week in Glendale, CA. Passionate about e-commerce and short video live-streaming. Prior BD internship experience is preferred. Benefits & Compensation ✅ Potential for full-time conversion! Sponsorship for H1B, CPT, OPT available. 📩 To apply, please send your resume to: ************************2 TikTok Shop LA Top Agency - New Beginnings Creator Network 招 BD 实习生 工作内容 协助拓展 TikTok Shop 商家资源,负责商家及品牌的对接与关系维护 参与 TikTok Shop 品牌商务合作,支持 BD 团队完成合作方案策划与执行 跟踪客户需求,收集客户反馈,协助优化商家直播及短视频方案 支持数据分析,协助撰写 BD 报告,输出市场洞察 制作高质量的 PowerPoint 方案,辅助团队进行方案展示及商务提案 职位要求 英文,中文流利,具备良好的沟通表达和商务谈判能力 熟练使用 PowerPoint,能够制作专业的商务展示方案 具备团队合作精神,抗压能力强,逻辑思维清晰 每周 Onsite 实习 3 天以上,办公地点在 洛杉矶Glendale 对电商及短视频直播领域有浓厚兴趣,有 BD 相关实习经验者优先 福利待遇 有转正机会！Sponsor H1B,CPT,OPT 零食饮料无限供应,工作氛围友好有活力 宠物友好环境 感兴趣者请将简历请发送至************************

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

Welcome to Resideo, where we're on a mission to transform homes into intelligent, efficient, and secure homes through the power of IoT-connected devices. As a Lead Data Scientist on our Data team, you'll play a pivotal role in extracting actionable insights from complex time-series data, making a direct impact on the comfort and safety of homes worldwide. As part of this initiative, we are looking for a Lead Data Scientist to help lead our Water data team in developing intelligent water monitoring and protection systems. You'll be at the forefront of applying advanced machine learning techniques to analyze real-time sensor data streams that help protect homes from water damage. Our systems must precisely differentiate between normal household water usage and anomalous events, while maintaining high accuracy to ensure customer satisfaction. Success in this role comes from combining deep data science expertise with strong product intuition to deliver scalable, production-ready solutions that provide value to both our professional installers and homeowners. JOB DUTIES: * Own and drive the performance of machine learning models for water monitoring systems, including metrics definition, monitoring, and continuous improvement strategies * Lead end-to-end machine learning development from research through production deployment, making independent technical decisions to support program growth * Provide technical and strategic leadership to the data team, operating autonomously to deliver on Water business unit objectives * Build and maintain key relationships across Product Management, Engineering, and Business teams to identify opportunities * Set technical direction for the team, taking full ownership of product performance * Mentor team members and foster a culture of innovation while maintaining high standards for production ML systems * Familiarity with modern ML frameworks and libraries including, deep-learning (e.g., TensorFlow, Keras, or PyTorch), Scikit-learn, Numpy, Pandas, and MLFlow. YOU MUST HAVE: * 7+ years of industry experience using Python, R, etc. working with (preferably) time-series data to support data analysis, visualization, exploratory data analysis, feature generation, and model fitting (in addition to other common analysis activities common to machine learning) * Expert in at least one programming language for data analysis (e.g., Python, R), experience with SQL a plus * Experience working with Apache Spark (preferably PySpark) * Strong foundation in machine learning and statistical modeling * Industry experience with developing and applying machine learning and statistics in at least one of the following categories: Anomaly detection, Image processing (e.g. convolutional neural networks, auto-encoders), or time-series methods WE VALUE: * Candidate should have project management experience and the ability to work in a fast-paced, high-visibility environment * Experience with water flow systems, HVAC, or related industrial applications * Experience with consumer facing IoT Products * Knowledge and experience with Databricks, Jupyter notebooks, Git, AWS or Azure cloud environments * A continuous learning mindset with a willingness to stay updated with the latest trends and technologies in data science and machine learning. #LI-EP1 #LI-Remote

Full-time Description This is an on-site role at Kings River Packing, LP headquarters office in Sanger, CA. Kings River Packing, LP an 8th generation family-owned grower-packer-shipper, invites you to be part of our dynamic team. With roots dating back to 1853, we're integral to the citrus industry, growing and marketing citrus across domestic and international markets. During our offseason, we import citrus from various countries. As we plan for growth, our hands-on owners prioritize excellence and integrity. Join us in embodying these values. Role Description We are seeking a highly motivated and detail-oriented Power BI Data Analyst to join our team in Sanger, CA. The ideal candidate will leverage their expertise in data visualization and analysis to transform complex datasets into actionable insights. This role requires proficiency in Power BI, strong analytical skills, and the ability to collaborate with cross-functional teams to support business decision-making. Responsibilities Dashboard and Report Development: Design, develop, and maintain interactive dashboards, reports, and visualizations using Power BI. Create visually appealing and user-friendly reports that provide actionable insights to stakeholders. Data Modeling and Transformation: Develop and optimize data models using Power Query and DAX (Data Analysis Expressions). Clean, transform, and prepare data from multiple sources for analysis. Data Integration: Connect Power BI to various data sources (e.g., SQL databases, Excel, APIs, cloud platforms). Implement ETL (Extract, Transform, Load) processes to ensure data accuracy and consistency. Collaboration with Stakeholders: Work closely with business users to gather requirements and understand their data needs. Translate business requirements into technical specifications and deliver solutions that meet business goals. Performance Optimization: Optimize Power BI reports and dashboards for performance and scalability. Troubleshoot and resolve issues related to data refresh, report rendering, and performance. Data Governance and Security: Implement row-level security (RLS) and other data governance practices to ensure data security and compliance. Manage user access and permissions for Power BI reports and dashboards. Training and Support: Provide training and support to end-users on how to use Power BI effectively. Create documentation and best practices for Power BI development and usage. Stay Updated with Industry Trends: Keep up-to-date with the latest Power BI features, tools, and industry trends. Recommend and implement new technologies and techniques to improve data analytics capabilities. Compensation & Benefits · $80,000 - $100,000, based on experience · Medical and Dental and Vision Benefits · Generous paid time off, 48 hours sick leave and 8 paid holidays · 401k with 4% matching after 1 year service · Flexible Spending Account (FSA) and dependent care Requirements · Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. · 3+ years of hands-on experience with Microsoft Power BI (Power BI Desktop, Power BI Service, and Power BI Mobile). · Strong knowledge of DAX, Power Query, and data modeling. · Experience with SQL and relational databases (e.g., SQL Server, MySQL). · Familiarity with data integration tools and ETL processes. · Experience with other BI tools (e.g., Tableau, QlikView) is a plus. · Proficiency in data visualization best practices and design principles. · Strong understanding of data warehousing concepts and methodologies. · Knowledge of cloud platforms (e.g., Azure, AWS) and their integration with Power BI is a plus. · Excellent communication and interpersonal skills. · Strong problem-solving and analytical thinking. · Ability to work independently and as part of a team. · Attention to detail and a commitment to delivering high-quality work. Preferred Qualifications · Microsoft Power BI Certification (e.g., PL-300: Microsoft Power BI Data Analyst). · Experience with advanced analytics and machine learning integration in Power BI. · Knowledge of Python or R for data analysis and visualization. · Experience with Power BI embedded and custom visuals. Physical Demands & Abilities · Ability to sit for extended periods of time, working from a computer, talking on the phone. · Ability to lift up to 30lbs. · Onsite work schedule Monday - Friday with flexibility as needed. This information reflects a base salary range that Kings River Packing reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, certification, and experience. The job posting is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Salary Description 80,000-100,000

This is a full-time position is responsible for supporting Master Data Governance (MDG) activities as noted below. This position will also provide some additional support to the broader Supply Chain team as needed. Master Data Governance Coordinator reports to the Manager, Master Data Governance Dept. Master Data Governance collects, vets and maintains critical Sun-Maid and Plum Organics data used by both internal and external sources. MDG maintains and shares data to meet the needs of those we serve, while ensuring the data integrity needs of Sun-Maid are met. Primary Responsibilities The Master Data Governance Coordinator provides the means to manage the following responsibilities: • Item Master Maintenance - Add, maintain and edit as needed all pertinent information stored in QAD (our ERP) regarding Sun-Maid and Plum Organics portfolio of finished good items. Currently there are 600+ active items • Product Structures - the building blocks of our finished goods that is comprised of all the components & processes that guide production. • Product Images - build and maintain a library of Sun-Maid and Plum Organics product images across multiple configurations. UPC sell-unit, case & pallet. • Maintain/manage Sun-Maid item data across several industry related web portals, including 1 WorldSync, GS1US, Syndigo, Nielsen Brandbank and GS1 Canada. • Maintain/manage Sun-Maid and Plum Organics item data in multiple customer web portals, including Walmart, Albertsons, Kroger, Ahold & Whole Foods to name a few. • Maintain/manage Sun-Maid item data on several 3rd party web portals, including Repositrak, TraceGains, Sharepoint, Azule, etc. • Share and manage item data with California WIC • Maintain/manage files for sharing Audit documents, Organic Certificates, Country of Origin information, Kosher & Halal Certificates, Certificates of Insurance. • Maintain/manage files of customer specific requests beyond those stated. • Maintain/manage item specification reports that are shared with Sun-Maid Sales and our Broker network. • Provide support to Sun-Maid Customer Service (Domestic Retail, Ingredient & Export) as needed. • Assist with other Supply Chain functions as needed Requirements Job Qualifications • Prior experience working with manufacturing & sales related data is highly preferred. • Excellent verbal and written communication skills and must be fluent in English. • Ability to handle multiple tasks and prioritize them. • Proficient in Microsoft Word, Excel and PowerPoint. • Must be detail oriented and possess good organizational skills • Able to work and gather data on the shop floor as needed from time to time • Works closely with other departmental groups within Sun-Maid - Packaging Engineer, Procurement, Shipping, Marketing, Sales, Finance, & Operations etc. Education Minimum AA degree preferred Salary Description $22.80/hr

This internship is an 8-10-week hands-on internship that is heavily engaged in day-to-day production activities. Learning opportunities include gaining a broad understanding of meat processing, potentially including process management, problem-solving, troubleshooting processes, equipment operations, and managing multiple operations within the production system. Description of Work Environment: The work for this position takes place in production facilities. The production rooms are equipped with a refrigeration system that sustains the temperature at 35°-45° F. The room is also equipped with long tables used for processing meat products; machinery used to grind meat; warehouse machinery and conveyor belts to transport boxes. The room is well-lit and has a level concrete floor that at times can be wet. The production room is also equipped with a loading dock and heavy-duty rack shelving to house product. Responsibilities: Work 40+ hours a week Engage in all training, development, and educational opportunities provided Ensure all GMPs and HACCP policies are being completed and documented on a daily basis and that all products being produced meet our company quality standards Assist with product specification sheets Assist with all duties pertaining to production line duties and responsibilities Ensure proper labeling of product Vacuum pack product using appropriate machinery Complete necessary paperwork as assigned Physical Requirements/Environment: Requires physical exertion to manually move, lift, carry, pull, or push heavy objects or materials Requires prolonged standing during work hours Requires stooping, kneeling, bending and reaching Must work in noisy and crowded environments Must work in and around odors Must work in lower temperature environment (35°-45° F) Safety Clothing/Equipment: Must comply with company dress code Layered clothing is advised Company Provided : helmet, smock, gloves, hair and beard net Non-slip shoes or boots Optional: Back brace and/or other safety equipment available at employee request Benefits: Paid internship Professional development Skills & knowledge that will be developed as a result of the internship Qualifications Completed application Must be enrolled at a certified College or University Working towards a degree in a related field Pass pre-employment physical and drug test Availability to work long hours and weekends Basic math Ability to lift 80 lbs. Have reliable transportation to and from working location

Job Details Fresno, CADescription Pay Range: $21 - $23 /hour (based on experience) ACES is driven to elevate the standards in the treatment of autism. Our team of Applied Behavior Analysis (ABA) clinicians is deeply committed to helping children with autism and related disorders reach their fullest potential through home and clinic-based services. ACES is the only autism provider who is nationally recognized for quality care as part of Aetna/CVS's Institute of Quality. We are also an award-winning workplace where you can grow your career, collaborate with a supportive team, and make a lasting impact on the lives of people in your community. Position Summary: The mission of the Behavior Analyst Intern at ACES is to elevate the standards in the treatment of Autism by engaging in activities to increase their skills to a supervisory level while also providing effective and efficient implementation of services that positively impact the lives of ACES' clients via ABA therapy. Behavior Analyst Interns implement Applied Behavioral Analysis (“ABA”) programs that focus on decreasing maladaptive behaviors and increasing social, communication and adaptive skills with clients affected by Autism Spectrum Disorders and/or other special needs under the direction of a Supervisor. In addition, Behavior Analyst Interns also engage in various educational, training, assessment and in the field application activities to prepare themselves for a supervisory level position at ACES under the direction of an Area Director/Area Manager. What You'll Do: Performing direct intervention services on a 1:1 basis (or in small groups) within a client's home, school, community or in a clinic setting, which includes: Following Supervisor(s) direction regarding responsibilities, performance, and ABA program implementation; Setting-up and manipulating environments for direct intervention sessions to decrease distractions and ensure the safety of the client and interventionist; Creatively implementing programs to ensure clients learn in a fun and effective environment; and Working independently and problem-solving challenging situations Collecting and graphing data daily and maintaining client databook(s) in a clear, accurate and organized manner. Communicating questions/concerns regarding program implementation (including status, problems, or intent to change any aspect of the behavior/educational program) to Supervisor(s) during scheduled session times via direct communication, communication logs and/or supervision notes. Attending and participating in mandatory direct services meetings, training and/or certifications as scheduled. Strictly following any and all ACES policies and procedures, including, but not limited to, the policies described in this Handbook, or any other rule or regulation as may be communicated to employees from time to time. Completing all Behavior Analyst Intern Checklist Items within the time provided, including training, assessments, competencies, and application of concepts with clinical staff and clients out in the field. Attending and preparing for all required Behavior Analyst Intern meetings per the direction of their ADAM. Completing all necessary paperwork and education requirements to be in compliance with BACB and/or college requirements for advanced degrees (e.g., MA, MS) and certifications (e.g., BCaBA, BCBA). The foregoing job responsibilities are illustrative only and are not meant to be exhaustive. ACES reserves the right to change, amend, or modify the job description/responsibilities at any time and in its sole discretion. Qualifications Required Qualifications: Minimum enrollment in a MA or BCaBA Program; MA Degree and/or BCaBA preferred Exposure to individuals with disabilities or Autism Spectrum Disorder Background check clearance and up-to-date immunizations may be required CPR certification 6 months experience working with clients with ASD or other special needs Valid driver's license and/or reliable transportation Background check, tuberculosis test, Livescan fingerprint, and any other funding source required clearance Comfortable working in home, community, school, clinic, and military base environments Strong desire to support and develop skills and abilities of staff Proficient with MS Office Suite, word processing, spreadsheets, email, database software, and project management software Highly organized Professional, positive attitude and appearance Excellent communication skills Physical Requirements: Ability to exert up to 10 pounds of force and lift/move up to 25 pounds Direct work with clients may include, without limitation, the following physical demands: sitting, kneeling, squatting, running, twisting and turning, reaching above shoulders and/or frequent physical transitions Additional Information ACES is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, disability, age or covered veteran status. To find out more about how ACES uses employee data for business purposes, see our Employee Privacy Policy (************************************************** If you are having any issues with submitting your application, please reach out to us directly at *******************. Please note: When uploading your resume, there cannot be special characters in the file name or you will not be able to submit your application.

Job Details Entry Facility - Fresno, CA Seasonal $17.50 - $18.00 HourlyJob Posting Date(s) 03/28/2025 General Purpose Conservation Interns will assist with rewilding Federal- and California-endangered Blunt-nosed Leopard Lizards ( Gambelia sila) to relict San Joaquin Desert habitat in the Panoche Hills in central California. In the process, interns will assist with phenotype measurement, fieldwork, and data entry during the animals' active season. Interns will also read and discuss relevant scientific literature and participate in regular meetings. This part time seasonal position is for 15 weeks (approximately April 15 to August 1, 2025) averaging 29h/wk. We are pleased to offer this seasonal part time position an Employee Assistance Program, 401K, Paid CA Sick Time earned on an accrued basis. The pay range for this position is $17.50 - $18.00 per hour. Offers will be based on the successful candidate's experience. Essential Accountabilities Perform or assist with phenotype assays. Phenotypes to be measured include morphology [e.g., length, mass], thermoregulation via thermal gradient assay, metabolic rate and evaporative water loss via Sable Systems Field Metabolic System, fecal corticosterone concentration via commercial EIA, and behavior [aggression and boldness]. Perform regular radiotelemetry to locate animals. Assist with field ultrasound to assess reproductive output of females. Perform regular field surveys. Assist with construction/maintenance of Automated Radio Telemetry System at Panoche Plateau. Assist with data collection and analysis to assess re-wilding success and natural selection on the landscape. Maintain a field journal and take part in weekly field team meetings, including discussions of relevant scientific literature. Participate in field symposium at end of the season. Ability to safely operate a vehicle for business purposes including but not limited to going to and from the zoo's facilities and offsite. Perform other tasks and projects as requested. MISSION WE INSPIRE PEOPLE TO CARE FOR ANIMALS, CREATE CONNECTIONS, BUILD COMMUNITY, AND SAVE WILDLIFE. VISION A JUST FUTURE THAT BEGINS WITH US AND MAKES POSSIBLE A WORLD WHERE PEOPLE AND WILDLIFE THRIVE TOGETHER. ORGANIZATIONAL PILLARS WILDLIFE SCIENCE - Creating environments for animals to thrive. Outstanding animal care. Research-driven animal wellness. Meaningful connections. Transformative exhibits. Effective global and regional conservation. COMPANY CULTURE- Promoting personal and professional staff fulfillment. Collective success. Career growth and development. Commitment to staff well-being and happiness. COMMUNITY PARTNERSHIPS - Fostering a sense of belonging and connection to our mission. Premier cultural destination A sense of belonging for all. Equitable access. Environmental and social justice. Trusted leader in conservation and sustainability. Rooted in the Central Valley. SUSTAINABLE BUSINESS - Striving for sustainability in our business and operations. Sustainable business model. Continued community support (Measure Z). Compelling brand. Modeling green practices. Education and Job Qualifications High school diploma required. Currently enrolled (or graduated from within the last 2 years) in a degree program in Wildlife Science, Conservation Biology, or related field required. A valid California driver's license, valid vehicle insurance, enrolled in the CA Employer Pull Notice program and successful completion of the FCZ Drivers Training Program required. Strong verbal and written English communications skills required. Bilingual (Spanish or Hmong) communication skills a plus Ability to work seasonally scheduled hours as necessary, which could include weekends, evenings, and holidays during the core field season (approx. April -August). Ability to complete field work in a harsh, desert environment (supplies for field safety will be provided). PHYSICAL REQUIREMENTS These are physical and mental requirements of the position as it is typically performed. Inability to meet one or more of these physical or mental requirements will not automatically disqualify a candidate or employee from the position. Upon request for a reasonable accommodation, the Zoo may be able to adjust or excuse one or more of these requirements, depending on the requirement, the essential functions to which it relates, and the proposed accommodation. This position requires the employee to stand and walk continuously for extended periods during the shift. The employee will also be regularly required to bend, stoop, or crouch when collecting or working with research animals. The employee is regularly required to lift and/or carry up to 50 pounds, and occasionally team-lift to 75 pounds. Visual acuity to read printed instructions and safety information and to assess animal behavior. Color perception is also required. Ability to receive detailed information through oral communication (in person and via telephone) at normal speaking levels with or without correction. WORK ENVIRONMENT The position functions both indoors and outdoors, with exposure to heat, cold, and inclement weather. The employee is regularly exposed to a variety of animals with risk of animal bites (including venomous), zoonotic disease, and other animal-related injury. Travel to field sites required. Sites are typically located within a 1-3-hour drive. This position is for 15 weeks (approximately April 15 to August 1, 2025) averaging 29 hours per week. However, some weeks will have more hours and some weeks may have fewer hours.