Data science internship jobs in Merced, CA - 2,220 jobs

A leading audio entertainment service is seeking a Research Scientist to analyze marketing campaign effectiveness through causal models and experimental studies. This role involves collaborating with marketing teams and utilizing advanced statistical methods to enhance decisions and strategies. The ideal candidate holds a PhD or a Master's with significant quantitative research experience and proficiency in scripting languages like R or Python. Comprehensive benefits and competitive compensation are offered. #J-18808-Ljbffr

A leading global consulting firm seeks a Data Scientist - Director in San Francisco to drive AI solutions and data initiatives. The ideal candidate will lead multi-source data pipelines, architect complex data solutions while collaborating with business leaders. Candidates should have a strong educational background, extensive experience in data engineering, and proficiency with SQL and cloud-native infrastructure. This role offers a competitive salary range of $205,000 to $235,000 and promotes a hybrid working model. #J-18808-Ljbffr

A healthcare solutions company seeks an Analyst in San Francisco. You'll analyze healthcare data, build dashboards, and provide actionable insights to leadership. Ideal candidates have 2+ years in analytical roles and should be proficient in SQL and Excel. This position offers the chance to make a significant impact as the first analyst in a fast-paced environment, with opportunities for growth and innovation in consumer healthcare. #J-18808-Ljbffr

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: ****************************************************************** * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Share: Job Requisition ID R0046852 Full Time/Part Time Full-Time Job Level Associate Director Click below to return to the Gilead Careers site Click below to see a list of upcoming events Click below to return to the Kite, a Gilead company Careers site #J-18808-Ljbffr

Data Scientist Everfit | Hybrid, San Francisco Bay Area Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and Millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights. About the Role We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform. What You'll Do Product Analytics & User Insights Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success. Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization. Identify opportunities to improve onboarding, engagement, and coach-client interactions. Experimentation & A/B Testing Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation. Strategic Impact & Roadmapping Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes. Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions. Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams. Technical Foundations Partner with data engineering to improve pipelines and instrumentation. Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms. Marketing Analytics & Optimization Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion. Partner with marketing and growth teams to design and evaluate campaign experiments What We're Looking For 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar) Understanding of SaaS metrics and cohort analysis Experience with translating numerical findings into clear insights for non-technical team members Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world) Bonus Points: Experience with Python or R for statistical analysis Experience in a PLG (Product-Led Growth) environment Experience working at a company during a hypergrowth phase Background in fitness, health, wellness, or coaching industries You'll thrive here if you: Are naturally curious and love asking "why" until you find the answer Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling Enjoy collaborating with global teams and making complex topics understandable Are comfortable with ambiguity and can structure your own work Care deeply about the impact your insights have on real coaches and their clients Why Join Everfit Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world Work with autonomy and ownership on high-impact projects Join a collaborative, global team with experience from leading tech and fitness companies Enjoy competitive salary, equity, and performance bonuses Build something meaningful that helps people live better, healthier lives Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status. Ready to dive into data in the fitness intelligence space? We'd love to hear from you.

BI Data Analyst (BI Tableau, SQL, Python) **Prefer candidates who can work on W2** (No for C2C arrangements) Onsite in Sunnyvale, CA / Austin, TX / Elk Grove, CA from Day 1 (Client prefer local folks) Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri) Long term contract Direct client opportunity No mid layer / No Implementation partners are Involved Job Description: Clients focus more on Business Intelligence skills, less complex analysis. Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years Excellent communication is essential Requires working knowledge of probability theory and statistical analysis. This role will: Use Tableau to create visualizations to be used in interactive dashboards and presentations. Use SQL to manipulate and prepare data Use Python to manipulate and prepare data; create visualizations; analyze data. Require a working knowledge of formal statistical analysis and causal modeling. Require excellent communication skills Skill Sets - Experience - Preference Tableau - 5-10 years - Is Required SQL - 5-10 years - Is Required Python - 5-10 years - Is Required Statistical analysis - 5-10 years - Is Required Verbal Communication - 5-10 years - Is Required Written Communication - 5-10 years - Is Required Attention to Detail - 5-10 years - Is Required Pay Range: $65/hr - $70/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at ***************. To report any concerns, please email us at *******************

Title: Technical Data Analyst Contract We are seeking a 10+ years' experience Technical Data Analyst with strong expertise in SQL and Python, hands-on experience with modern data platforms, and the ability to translate complex data into trusted, actionable insights. This role will work closely with engineering, product, and business stakeholders to support analytics, reporting, and data-driven decision-making at scale. Key Responsibilities Write complex, high-performance SQL queries to analyze large, structured and semi-structured datasets 8-10 years of software development and deployment experience with at least 5 years of hands-on experience with SQL, Databricks, ADF, Datastage (or other ETL tool), SSAS cubes, Cognos, Tableau, Thoughtspot and other BI tools ·Write SQL for processing raw data, kafka ingestions, adf pipelines, data validation and QA ·Knowledge working with APIs to collect or ingest data Use Python for data analysis, automation, validation, and lightweight data engineering tasks Build, enhance, and maintain dashboards and reports using Tableau and ThoughtSpot Partner with data engineers to design, validate, and optimize ETL/ELT pipelines Work extensively with Databricks (Spark, notebooks, Delta tables) for data exploration and analytics Perform data quality checks, reconciliations, and root-cause analysis to ensure data accuracy and consistency Translate business requirements into technical data solutions and semantic layers Support self-service analytics by documenting datasets, metrics, and business definitions Collaborate across teams to troubleshoot data issues and improve reporting performance Required Qualifications Strong proficiency in SQL, including complex joins, window functions, CTEs, and performance optimization Strong Python skills for data analysis and scripting (e.g., pandas, numpy) Hands-on experience with Databricks and distributed data processing concepts Hands on experience working with ETL tools and data pipelines (batch and/or streaming) Proficiency in reporting and visualization tools such as Tableau, ThoughtSpot, Cognos, SSAS Cubes Solid understanding of data warehousing concepts, data modeling, and analytics best practices Ability to analyze large datasets and communicate insights clearly to both technical and non-technical audiences Preferred Qualifications Experience with cloud data platforms (AWS, Azure, or GCP) Familiarity with version control tools (Git) and CI/CD concepts for analytics workflows Exposure to data governance, metric standardization, and semantic layers Prior experience in enterprise-scale data platforms or COE environments What Success Looks Like Trusted, accurate dashboards and datasets used across multiple business teams Efficient, well-documented SQL and Python code that scales with data growth Strong partnership with engineering and business stakeholders to deliver timely insights Proactive identification and resolution of data quality and performance issues

Are you an experienced Data Scientist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Scientist to work at their company in Novato, CA. Client's Data Science is responsible for designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas of Client. With a quality-by-design culture, Data Science builds quality data that is fit-for-purpose to support statistically sound investigation of critical scientific questions. The Data Science team develops solid analytics that are visually relevant and impactful in supporting key data-driven decisions across Client. The Data Management Science (DMS) group contributes to Data Science by providing complete, correct, and consistent analyzable data at data, data structure and documentation levels following international standards and GCP. The DMS Center of Risk Based Quality Management (RBQM) sub-function is responsible for the implementation of a comprehensive, cross-functional strategy to proactively manage quality risks for clinical trials. Starting at protocol development, the team collaborates to define critical-to-quality factors, design fit-for-purpose quality strategies, and enable ongoing oversight through centralized monitoring and data-driven risk management. The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies. Primary Responsibilities/Accountabilities: The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the study's complexity and the study's development stage: Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies. Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets. Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review. Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient. Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes. Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics. Qualifications: PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example: PhD: 3+ years MS: 5+ years BA/BS: 8+ years Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets). Hands-on experience working with clinical trial data.•Proficiency with Microsoft Word, Excel, and PowerPoint. Technical - Preferred / Strong Plus Experience with RAVE EDC. Awareness or working knowledge of CDISC, CDASH, SDTM standards. Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms. Preferred: Knowledge of GCP, ICH, FDA guidance related to clinical trials and risk-based monitoring. Strong analytical and problem-solving skills; ability to interpret complex data and risk outputs. Effective communication and teamwork skills; comfortable collaborating with cross-functional, global teams. Ability to manage multiple programming tasks and deliver high-quality work in a fast-paced environment.

Work on projects associated with new and evolving regulations for e. VTOL aircraft such as performance based reserves and aircraft health monitoring Develop operational metrics, collect and analyze data to identify trends, track key performance indic Operations, Airline, Intern, Business Operations, Project Management, Manufacturing

Job Description Data Coordinator Reports To: IT Director FLSA Status: Non-Exempt The Data Coordinator is responsible for entering, cleaning, and maintaining data in the First Tactical ERP system to ensure accuracy and integrity. This person further constructs reports based on ERP data. This role requires advanced proficiency in Excel, a strong understanding of data management processes, and a keen eye for detail to identify and resolve data discrepancies. Data Management & Validation Enter, clean, validate, and maintain data within the ERP system. Perform regular audits to identify and correct errors, redundancies, or inconsistencies. Ensure accuracy, consistency, and integrity of pricing, item, customer, and supply chain data. ERP, Pricing & Master Data Support Assist with pricing uploads, updates, and bulk data imports in the ERP system. Maintain and update master data files and system records. Support testing and validation during system updates or enhancements. B2B & EDI Support Assist with B2B and EDI uploads, transactions, and mappings. Monitor EDI transactions for failures or errors and support troubleshooting. Coordinate with internal teams and external partners to resolve data and EDI issues. Reporting & Analysis Prepare and generate reports using ERP data, Excel, and reporting tools (e.g., Power BI). Analyze data trends to identify issues, risks, or opportunities for process improvement. Provide accurate and timely data to support operational and leadership decision-making. Troubleshooting & IT Support Identify, research, and resolve data-related system issues. Escalate complex or recurring issues to the Director of IT with clear documentation. Support additional IT and data-related tasks and projects assigned. Data Governance & Documentation Support compliance with data governance standards and internal controls. Maintain documentation for data processes, validation procedures, and system workflows. Assist with maintaining data dictionaries and process documentation. Othe Duties as assigned EXPERIENCE/EDUCATION: · Bachelor's degree in information systems, Supply Chain, Business, Data Management, or a related field, or equivalent experience. · 2-4+ years of experience in data management, ERP systems, EDI, or reporting. · Advanced proficiency in Microsoft Excel (pivot tables, lookups, formulas; macros a plus). · Experience working with ERP systems and large datasets. · Strong analytical, problem-solving, and organizational skills. · High attention to detail and ability to work independently in a fast-paced environment. · Strong written and verbal communication skills. PHYSICAL DEMANDS/WORK CONDITIONS: · Prolonged periods of sitting at a desk or workstation while working on a computer. · Frequent use of computer equipment, including keyboard, mouse, and monitor, requiring manual dexterity and visual acuity. · Ability to see and distinguish fine details on screens and reports for extended periods. · Regular verbal and written communication with colleagues, team members, and external partners via phone, video conferencing, and in-person meetings. · Occasional reaching for materials, files, or office equipment within the work environment. · Ability to occasionally lift and/or move up to 30 pounds. · Work is primarily performed in an office with standard business hours; extended hours may be required to meet business needs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Data Coordinator Reports To: IT Director FLSA Status: Non-Exempt The Data Coordinator is responsible for entering, cleaning, and maintaining data in the First Tactical ERP system to ensure accuracy and integrity. This person further constructs reports based on ERP data. This role requires advanced proficiency in Excel, a strong understanding of data management processes, and a keen eye for detail to identify and resolve data discrepancies. Data Management & Validation Enter, clean, validate, and maintain data within the ERP system. Perform regular audits to identify and correct errors, redundancies, or inconsistencies. Ensure accuracy, consistency, and integrity of pricing, item, customer, and supply chain data. ERP, Pricing & Master Data Support Assist with pricing uploads, updates, and bulk data imports in the ERP system. Maintain and update master data files and system records. Support testing and validation during system updates or enhancements. B2B & EDI Support Assist with B2B and EDI uploads, transactions, and mappings. Monitor EDI transactions for failures or errors and support troubleshooting. Coordinate with internal teams and external partners to resolve data and EDI issues. Reporting & Analysis Prepare and generate reports using ERP data, Excel, and reporting tools (e.g., Power BI). Analyze data trends to identify issues, risks, or opportunities for process improvement. Provide accurate and timely data to support operational and leadership decision-making. Troubleshooting & IT Support Identify, research, and resolve data-related system issues. Escalate complex or recurring issues to the Director of IT with clear documentation. Support additional IT and data-related tasks and projects assigned. Data Governance & Documentation Support compliance with data governance standards and internal controls. Maintain documentation for data processes, validation procedures, and system workflows. Assist with maintaining data dictionaries and process documentation. Othe Duties as assigned EXPERIENCE/EDUCATION: · Bachelor's degree in information systems, Supply Chain, Business, Data Management, or a related field, or equivalent experience. · 2-4+ years of experience in data management, ERP systems, EDI, or reporting. · Advanced proficiency in Microsoft Excel (pivot tables, lookups, formulas; macros a plus). · Experience working with ERP systems and large datasets. · Strong analytical, problem-solving, and organizational skills. · High attention to detail and ability to work independently in a fast-paced environment. · Strong written and verbal communication skills. PHYSICAL DEMANDS/WORK CONDITIONS: · Prolonged periods of sitting at a desk or workstation while working on a computer. · Frequent use of computer equipment, including keyboard, mouse, and monitor, requiring manual dexterity and visual acuity. · Ability to see and distinguish fine details on screens and reports for extended periods. · Regular verbal and written communication with colleagues, team members, and external partners via phone, video conferencing, and in-person meetings. · Occasional reaching for materials, files, or office equipment within the work environment. · Ability to occasionally lift and/or move up to 30 pounds. · Work is primarily performed in an office with standard business hours; extended hours may be required to meet business needs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Type: Full-time Work Category: Hybrid Telecommute Sponsorship: Not Available Compensation: $ 103,100 - $ 154,800 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 We're seeking a curious, collaborative Data Scientist to join our Sales Analytics team and turn complex data into clear, actionable insights. Working under general supervision on up to two concurrent initiatives, you'll consolidate diverse, unstructured sources, build and validate models, run experiments (A/B testing), and translate results into business-ready solutions that drive measurable impact. You'll partner with stakeholders across functions, elicit and refine requirements, and create compelling business cases that prioritize high-impact outcomes. You are comfortable coding in Python and using libraries like Pandas, NumPy, Matplotlib or Seaborn, writing SQL to harvest data, and building reproducible analysis pipelines. You'll design models and simple linear optimization solutions with solvers (e.g., Gurobi, CPLEX), implement prototypes for production, and work with engineers to ensure quality and adoption. You'll apply statistical rigor to identify causal relationships, validate assumptions, and evaluate solution effectiveness while documenting technical specs and communicating tradeoffs in plain language for nontechnical audiences. We value intrapreneurship and ownership: think boldly, take appropriate risks, learn from mistakes, and hold yourself and teammates accountable. You'll facilitate team meetings, mentor interns as needed, and help integrate new use cases using modern methods and tools. Timely work, attention to architecture and usability, and a focus on production-ready outcomes are essential. GALLO is committed to equity and inclusion. We encourage candidates of all backgrounds and experiences to apply and will provide reasonable accommodations throughout the hiring process. If you're passionate about using data to influence sales strategy and create business value, we'd like to hear from you. What You'll Need * Master's degree in Statistics, Applied Mathematics, Computer Science, Data Science/Analytics, Geo Spatial Science, Operations Research, Industrial Engineering, Business Analytics, or Mathematics, plus 2 years of experience in advanced data analytics reflecting increasing levels of responsibility; OR Bachelor's degree in Information Systems, Computer Science, Management Information Systems (MIS), Economics, Mathematics, Statistics, Data Science, Data Analytics, Physics, Engineering, Operations Research, Industrial Engineering, or Business Analytics, plus 3 years of experience in advanced data analytics reflecting increasing levels of responsibility. * Understands technology standards and architectural guidelines. * Can work as part of a larger team and effectively collaborate with geographically distributed teams. * Demonstrates knowledge & understanding of statistical machine learning and artificial intelligence (AI) models that integrate with the application development environment. * Skilled at representing data in graphical form using tools such as MicroStrategy, Tableau, Excel. * Intermediate Knowledge of AWS Resources in the aiding of automation. * Working knowledge on building compelling Dashboards that tell a story and deliver actionable insights. * Working knowledge developing experiments that identify causal relationships in the field. * Required to travel to company offices, sites, and/or meeting locations for onboarding, training, meetings, and events for development, department needs, and business delivery up to 5% of the time, with or without reasonable accommodation. This may be in addition to travel requirements, if applicable, as listed in this . * Required to be 18 years or older. This may be in addition to other age requirements, if applicable, as listed in this . How You'll Stand Out * Masters degree in Statistics, Applied Mathematics, Computer Science, Data Science/Analytics, Geo Spatial Science, Operations Research, Industrial Engineering, Business Analytics, or Mathematics plus 4 years experience in advanced data analytics reflecting increasing levels of responsibility; OR Bachelor's degree in Information Systems, Computer Science, Management Information Systems (MIS), Economics, Mathematics, Statistics, Data Science, Data Analytics, Physics, Engineering, Operations Research, Industrial Engineering, or Business Analytics plus 5 years experience in advanced data analytics reflecting increasing levels of responsibility. To view the 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 with an option for occasional telecommuting. 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

City : Modesto State : California (US-CA) Country : United States (US) A Day in the Life: The Bunge Engineering Internship Program is looking for collaborative results oriented candidates with strong critical thinking and communication skills. The internship is designed to give you an understanding of the operations and processes of businesses across Bunge's value chain. During the internship, you will receive cross functional exposure to a number of Bunge's business units while performing various operational (e.g. EHS, Material Handling, Crush, Refine, Packaging, Lab, Warehouse, Process Engineering) functions. You will develop the skills and knowledge needed to provide a solid foundation in all aspects of operational processes. Location to be determined based on current business needs, you would be placed at one of our crush/refine, packaging, or grain elevator facilities. Ability and willingness to relocate for the duration of the internship is required. Position Details: Summer Work Term - Approximately 12 weeks Hourly Pay Rate Starting at: $27.30 What You'll Be Doing: Participate fully in the day-to-day operation of a Bunge facility. This will follow the program governance of 70/20/10 (70% hands on, 20% informal learning, 10% formal learning) Develop a thorough understanding of plant operations Demonstrate your level of understanding by responding to verbal or written inquiries from supervisors, mentors, or program manager Travel to other Bunge locations for training and exposure purposes Assist location and corporate staff in evaluating changing operational conditions Ability to communicate effectively with Bunge internal and external customers Qualifications: Pursuing a Bachelor's degree in Engineering from a four year accredited college or university, Chemical, Mechanical, Agricultural Electrical, Instrumentation & Controls required. Must be collaborative, results oriented and possess strong critical thinking skills Ability to adjust to multiple demands, shifting priorities, ambiguity, adversity, and constant change Exceptional verbal and written communication skills Analytical problem solving skills Proficiency in standard PC applications Standard internships hours 8 AM - 5 PM subject to modification as required by assignment and/or location Ability to travel At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they're grown to where they're needed-in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com. Every day our people exemplify these values, which represent Bunge at its core: • We Are One Team - Collaborative, Respectful, Inclusive • We Lead The Way - Agile, Empowered, Innovative • We Do What's Right - Safety, Sustainability, With Integrity If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day - people who are #ProudtoBeBunge

Field Operations Summer Intern Reports to: Director Department: Field Operations Classification: Seasonal, Hourly (Non-Exempt) Pay: $22 - 24 Stanislaus Mission To attract quality-oriented restaurateurs with consistently superior tomatoes and olive oil, keep them through legendary service, and invest in talented people who share our dedication to customer success. The Company Stanislaus Food Products is a nationally recognized, family-owned company known for crafting the finest Italian-style tomatoes and sauces for top-quality Italian restaurants and pizzerias. If you take pride in the quality of your work and prefer working on a team of talented individuals who share your passion for excellence, we invite you to apply for this exciting opportunity! This is a seasonal, full-time position located on-site at our Modesto Field Department office with off-site work daily. The Field Operations Summer Intern will inspect upcoming tomato fields for maturing fruit and quality using a company vehicle. Availability to work from mid/late June through end of September. Times may be adjusted within a week or two of mentioned timeframes. This position will be primarily responsible for: Inspecting and sampling various tomato fields when they are at the peak of their maturity. Inspecting maturity counts on different tomato varieties within the field to determine the proper date to harvest. Inspecting peel samples of red tomatoes to determine quality of the upcoming harvest. Documenting sampled product for verification of maturity. Submitting samples to the QC lab for analysis and perform various data analysis on the results of the scouting trip. Driving a company issued car daily to assigned work areas. Overnight, off-site travel may be required. Other duties as assigned. Minimum Qualifications: Must be able to work independently and follow through with deadlines. Reliable attendance: able to work Monday - Friday, with weekends and holidays as needed. Availability to work from mid/late June through end of September. Times may be adjusted within a week or two of mentioned timeframes. Valid CA Driver's License. Currently enrolled in a four-year college or university. In this internship, not only will you learn about our Field Operations, but you will be exposed to our full operation by meeting with different leaders across our organization each week to better understand the business. Physical Requirements: Frequent lifting, carrying, pushing, and/or pulling; some stooping, kneeling, crouching, and/or crawling; and frequent fine finger dexterity. Generally, the job requires the following percentages of time committed to physical activity: 50% or more sitting, 25% or less walking, and 50% or more standing. The job is performed under occasional temperature variations and in an office environment. Unrestricted visual and audio abilities are required for the safety of all employees. The ability to lift up to 45 lbs. is required. Wellbeing: In addition to our solid track record as a stable, growing employer, we offer a variety of different benefits: Social Wellness - Work Experience, Company Holidays, California Sick Time, and Federal and State Leave of Absences. Emotional Wellness - Dedicated People Operations Department - our Leaders have an Open Door Policy. Financial Wellness - Bi-Weekly Pay. Nutrition Wellness - Access to best-in-class tomato sauce and olive oil products.

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands‑on experience solving some of the most interesting and mission‑critical business questions with data. Skills and attributes for success Lead ingestion and ETL design for structured and semi‑structured data (CSV, JSON, APIs, Flat Files). Understand schema, data quality, and transformation logic for multiple sources on a client‑by‑client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). Build data access layers optimized for ML (feature stores, event streams, vector stores). Define and enforce standards for data provenance, quality checks, logging, and version control. Partner with AI/ML and Platform teams to ensure data is ML‑ and privacy‑ready (HIPAA, SOC2, etc.). To qualify for the role you must have A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. Expertise in cloud‑native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). Experience with merging and reconciling third‑party data (public APIs, vendor flat files, dashboards). Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. Basic understanding of ML/feature pipelines and downstream modeling needs. The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have Experience working in a startup and/or management/strategy consulting. Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. Collaborative, problem‑solving, and growth‑oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future‑focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring. Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion. Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn. Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals. Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment. Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring. Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy. Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders. Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Data Scientist Everfit | Hybrid, San Francisco Bay Area Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and Millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights. About the Role We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform. What You'll Do Product Analytics & User Insights Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success. Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization. Identify opportunities to improve onboarding, engagement, and coach-client interactions. Experimentation & A/B Testing Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation. Strategic Impact & Roadmapping Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes. Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions. Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams. Technical Foundations Partner with data engineering to improve pipelines and instrumentation. Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms. Marketing Analytics & Optimization Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion. Partner with marketing and growth teams to design and evaluate campaign experiments What We're Looking For 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar) Understanding of SaaS metrics and cohort analysis Experience with translating numerical findings into clear insights for non-technical team members Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world) Bonus Points: Experience with Python or R for statistical analysis Experience in a PLG (Product-Led Growth) environment Experience working at a company during a hypergrowth phase Background in fitness, health, wellness, or coaching industries You'll thrive here if you: Are naturally curious and love asking "why" until you find the answer Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling Enjoy collaborating with global teams and making complex topics understandable Are comfortable with ambiguity and can structure your own work Care deeply about the impact your insights have on real coaches and their clients Why Join Everfit Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world Work with autonomy and ownership on high-impact projects Join a collaborative, global team with experience from leading tech and fitness companies Enjoy competitive salary, equity, and performance bonuses Build something meaningful that helps people live better, healthier lives Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status. Ready to dive into data in the fitness intelligence space? We'd love to hear from you.

Tomato & Olive Field Operations Intern Reports to: Director of Field Operations Department: Field Operations Classification: Seasonal, Hourly (Non-Exempt) Pay: $22 - $24 Our Mission To attract quality-oriented restaurateurs with consistently superior tomatoes and olive oil, keep them through legendary service, and invest in talented people who share our dedication to customer success. The Company Stanislaus Food Products and Corto Olive are nationally recognized, family-owned company known for crafting the finest Italian-style tomatoes and sauces for top-quality Italian restaurants and pizzerias and superior olive oil for professional and home chefs. If you take pride in the quality of your work and enjoy collaborating with a team of talented individuals who share a passion for excellence, we invite you to apply for this exciting seasonal opportunity. This is a seasonal, full-time ,on-site position reporting to both our Modesto Field Department office and Stockton facility, with daily off-site fieldwork and travel throughout the Central Valley. In this role, you will support field operations for both tomato and olive products. Responsibilities include inspecting upcoming tomato fields for fruit maturity and quality, as well as collecting and organizing samples and data from olive fields. You will deliver samples to the appropriate laboratories, perform accurate data entry, and maintain regular communication with your supervisor and team members. This position typically works five days per week from mid/late June to mid/late November. This position will be primarily responsible for: Tomato Operations - Inspecting and sampling various tomato fields when they are at the peak of their maturity. Inspecting maturity counts on different tomato varieties within the field to determine the proper date to harvest. Inspecting peel samples of red tomatoes to determine quality of the upcoming harvest. Documenting sampled product for verification of maturity. Submitting samples to the QC lab for analysis and perform various data analysis on the results of the scouting trip. Driving a company issued car daily to assigned work areas. Overnight, off-site travel may be required. Other duties as assigned. Olive Operations - Support daily operations and data collection for the Field Department. Join orchard visits and inspect crops and conditions. Enter and organize data from fields and labs. Maintain and prepare departmental documentation and reports. Work closely with field staff and managers on projects. Collect fruit samples following standard procedures. Coordinate sample submissions and retrieve analysis results from external labs. Evaluate orchards for conditions, canopy, fruit set, irrigation, pests, and diseases. Document findings with structured notes and reports. Assist with field mapping and orchard boundary updates. Input scouting, sampling, inventory, and trial data into relevant systems. Help establish and monitor field trials across orchards. Record trial data like yield, canopy metrics, and imagery per standardized methods. Contribute to piloting and updating SOPs and internal processes. Driving a company issued car daily to assigned work areas. Other duties as assigned. Minimum Qualifications: Must be able to work independently and follow through with deadlines. Able to work Monday - Friday, with weekends and holidays as needed. Reliable attendance. Availability to work from July through mid November. Times may be adjusted within a week or two of mentioned timeframes. Valid CA Driver's License. Currently enrolled in a four-year college or university. In this internship, not only will you learn about our Field Operations, but you will be exposed to our full operation by meeting with different leaders across the organization each week to better understand the business. Physical Requirements: Frequent lifting, carrying, pushing, and/or pulling; some stooping, kneeling, crouching, and/or crawling; and frequent fine finger dexterity. Generally, the job requires the following percentages of time committed to physical activity: 50% or more sitting, 25% or less walking, and 50% or more standing. The job is performed under occasional temperature variations and in an office environment. Unrestricted visual and audio abilities are required for the safety of all employees. The ability to lift up to 45 lbs. is required. Wellbeing: In addition to our solid track record as a stable, growing employer, we offer a variety of different benefits: Social Wellness - Work Experience, Company Holidays, California Sick Time, and Federal and State Leave of Absences. Emotional Wellness - Dedicated People Operations Department - our Leaders have an Open Door Policy. Financial Wellness - Bi-Weekly Pay. Nutrition Wellness - Access to best-in-class tomato sauce and olive oil products.