Data Scientist Jobs in Lompoc, 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

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.

This is a senior position that requires existing and deep hands-on experience. This is an Applied, Data Science Engineering role: you need to be a data scientist first, with all the deep theoretical foundations to be able to design, build, train, and hypertune ML/DL models, and at the same time have all the practical, hands on, engineering know-how to be able to deploy the models in scalable production environment. DO NOT apply if you are a: recent graduate: this is not your first job. data scientist but haven't been part of deploying your models in real world, production environment. data engineer but haven't designed multimodal models and don't know the inner-workings of ML/DL algos. Our interviews include in-person, face-to-face sessions: do not apply if you can't meet in person, or are unable to take interviews without the help of an AI chatbot. NO RECRUITERS PLEASE. Cognomotiv's Market The complexity of modern vehicles is increasing at breakneck speed. The introduction of an array of brand-new features, along with refinements on old capabilities, has wildly expanded the role of AI, software, and in-vehicle services in today's vehicles. More and more functionality is shifting from electronic and mechanical systems to onboard computers controlled by AI. This trend is only accelerating: myriad of new services rely heavily on vehicles being constantly online, while autonomy is becoming increasingly real. AI and software services offer amazing new opportunities to the automotive world, but bring with them complexity that creates maintenance and repair challenges and operational failures due to underlying hardware, software, and AI that control them. Who We Are At Cognomotiv, we help automotive OEMs, Fleet Operators, suppliers, and service centers guarantee the reliability of every vehicle on the road, thanks to state-of-the-art AI that identifies anomalous vehicle behavior in real time, detect and predict issues, and provide guidance on how to fix the problems. The Cognomotiv solution is a blend of edge and backend AI that performs non-intrusive system diagnosis and prognosis, and makes remediation recommendations with powerful and efficient native models. Our AI is unique in its ability to perform fault and failure detection and prediction in both resource constrained environment as in the edge, as well as in the cloud, and also provide guided repair. Cognomotiv is the ultimate professional grade MRO (Maintenance, Repair, Overhaul) Copilot. Description We are seeking an ambitious, self-reliant data science engineer who operates with a sense of urgency and has the ability to thrive in a fast-paced environment. You will design and build the robust, supportable, highly scalable AI foundation of Cognomotiv's solution: ● Optimize and test ML and statistical models to report and predict systems' health in a variety of subsystems, including mechanical, sensor, and onboard computer. ● Research and develop methods for anomaly detection, failure diagnosis, and root cause analysis using systems data streams as well as information about the system. ● Design and implement models to detect breaches in system reliability. ● Organize and manage fleet data flow, storage, and automated procedures. ● Use variety of ML/DL techniques to mine data for fault patterns and precursors. ● Build and deploy RAG, Generative and Agentic AI to automate scalable guided-repair procedure generation. ● Organize and clearly present or publish findings. ● Assist in porting models to native language for edge computation and learning. You possess deep technical skills that will be used to drive insights into new products, working closely with both data scientists and engineers. You will have the opportunity to synthesize learning from edge-trained models, a paradigm the entire IoT is striving for. You will have access to new and rich datasets, and use it to directly provide safety and reliability to all fully- or semi-automated systems. Education & Experience Requirements: ● Degree (advanced preferred, Ph.D., or equivalent experience) in a quantitative field such as statistics or physics ● 5+ years of industry experience in a data science engineering role ● Proficiency in large scale data interaction -- SQL, Hadoop, etc. ● Existing experience in the designing, building, and deploying multimodal ML/DL a huge plus ● Existing experience in working with both streaming and batch mode ML/DL a huge plus ● Expert knowledge of one more more scripting languages (e.g. Python) ● Basic proficiency in at least one object-oriented programming language (e.g. C++, Java) ● Solid understanding and working knowledge of RAG, SLM, Graphs, GNN, Agentic AI ● Solid understanding and working knowledge of fundamental probability and statistics ● Effective communication skills: can turn vague, startup-grade input to concrete, value-added output ● The ideal candidate can independently recognize needs/possibilities and provide creative solutions.

We are seeking an experienced Senior Data Scientist with over 5 years of experience in Data Science, Machine Learning (ML), and Artificial Intelligence (AI) to join our team in Redwood City, SF Bay Area. Key Responsibilities: Architect and design scalable and enterprise-level AI/ML models to solve complex business challenges. Develop and optimize AI/ML algorithms to ensure high performance, accuracy, and efficiency. Lead the end-to-end AI/ML lifecycle, including data collection, preprocessing, modeling, deployment, monitoring, and maintenance. Collaborate with software engineers, data engineers, and product managers to integrate AI solutions seamlessly into existing systems. Stay ahead of industry trends, exploring and implementing the latest advancements in AI, ML, deep learning, and data science. Ensure best practices in ML model validation, interpretability, and performance optimization. Mentor and guide junior data scientists and ML engineers, fostering a culture of innovation and technical excellence. Work with big data technologies and cloud platforms such as AWS, GCP, or Azure to scale AI/ML solutions. Implement MLOps practices to streamline deployment, monitoring, and retraining of ML models in production. Required Qualifications: 5+ years of experience in Data Science, Machine Learning, or AI with a strong track record of delivering impactful AI solutions. Expert-level proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn. Deep expertise in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning. Proven experience in AI/ML model architecture, optimization techniques, and deploying models at scale. Strong knowledge of data engineering principles, including data pipelines, feature engineering, and ETL processes. Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Snowflake). Strong background in statistics, mathematics, and probability theory. Experience with MLOps, model deployment, and monitoring in production environments. Excellent problem-solving skills, critical thinking, and adaptability in a fast-paced environment. Strong communication skills, with the ability to present complex AI concepts to non-technical stakeholders. Preferred Qualifications: Bachelors or Masters in Computer Science. Experience with real-time AI applications. Knowledge of AI ethics, explainability, and responsible AI frameworks. Why Join Us? Cutting-edge AI/ML projects: Work on innovative solutions with real-world impact across industries. Collaborative and high-growth environment: Work alongside top talent in AI, data science, and engineering. Competitive compensation & benefits: Market-leading salary, stock options, and career growth opportunities.

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. 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 now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision-making. 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. 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. • Conduct in-depth and rigorous causal analysis and develop causal methodology and machine learning models to drive member value and customer success. • Develop methodologies to enhance LinkedIn's product and platform capabilities. • 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. Suggested Skills • Machine Learning • Research • Causal Inference 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. 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$165,000 - $185,000 BASE SALARY + EQUITY REMOTE OR HYBRID (3 DAYS ONSITE IF LOCAL) A fast-growing healthtech startup developing solutions to help healthcare organizations safely implement generative AI. Their platform ensures compliance, enhances model reliability, and provides ongoing monitoring to support responsible AI adoption. THE ROLE As a Data Engineer, you will design and optimize scalable ETL pipelines, standardize data processing workflows, and integrate healthcare data across various platforms. You'll play a key role in automating data ingestion, enhancing system reliability, and ensuring high-quality datasets for AI applications. This position requires problem-solving ability, adaptability, and a strong interest in the intersection of healthcare and AI. ROLE RESPONSIBILITIES Develop and maintain ETL pipelines that extract data from FHIR endpoints. Build and enhance data ingestion processes to streamline healthcare system integration. Automate data workflows for seamless interaction with Epic and other EHR platforms. Establish repeatable data transformation patterns to ensure consistency across systems. Deploy Infrastructure-as-Code (IaC) solutions for efficient scaling. Work closely with AI/ML teams to provide clean, structured data for model development. SKILLS & EXPERIENCE 4+ years of experience working with healthcare datasets. Strong programming skills in Python. Hands-on experience with FHIR & HL7v2 data standards. Cloud expertise in Azure (preferred), GCP, or AWS. Experience working with Snowflake & Databricks is a plus. Proven ability to scale ETL pipelines in live production environments. Familiarity with Infrastructure-as-Code (IaC) and CI/CD pipelines. Exposure to AI/ML data engineering is a plus, particularly in model training workflows. BENEFITS $165,000 - $185,000 base salary + equity. Flexible remote or hybrid work model. Opportunity to shape the future of AI governance in healthcare. If you're a data engineer passionate about AI in healthcare, we'd love to connect!

Hi, Job Title: Senior Data Engineer Duration: Contract to Hire Role Interview Process: Onsite Payrate: 75 to 80/hr. on C2C Responsibilities: Key Responsibilities: Design, develop, and maintain data pipelines using Spark, PySpark, and other big data technologies to process large datasets. Build and optimize complex SQL queries for data extraction, transformation, and loading (ETL) in both batch and real-time workflows. Work with cloud platforms such as AWS, Azure, or GCP to deploy and manage data infrastructure. Collaborate with cross-functional teams to gather data requirements and deliver data solutions that meet business needs. Ensure data quality, integrity, and consistency across different stages of data processing. Optimize and troubleshoot performance of Spark and SQL-based applications. Develop and implement data models and data architectures to support analytics and business intelligence initiatives. Create and maintain automated data workflows and ensure they are scalable and maintainable. Document data processes, architectures, and pipelines to ensure knowledge sharing across teams. Required Skills & Qualifications: Proven experience as a Data Engineer with expertise in Spark and PySpark for distributed data processing. Strong proficiency in SQL, including experience with writing complex queries, performance tuning, and database management. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data processing services such as AWS EMR, Azure Databricks, Google BigQuery, etc. In-depth understanding of ETL processes, data modelling, and data warehousing concepts. Experience working with large datasets and optimizing data pipelines for efficiency and scalability. Familiarity with data storage technologies like Hadoop, HDFS, and cloud-based data lakes. Knowledge of version control systems like Git, and experience working in Agile environments. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative team environment. Strong communication skills and the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with containerization and orchestration tools like Docker, Kubernetes, or Apache Airflow. Familiarity with machine learning concepts and integration of data pipelines with ML workflows. Experience with real-time data streaming technologies (Kafka, Apache Flink, etc.). Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Commitment to our customers, collaboration, and continuous improvement in a positive environment are more than words written on a wall at Invoca, it's our way of life. We take pride in an inclusive and egoless culture that helps us drive innovation and build value for both our customers and our people. And of course, there's the competitive pay, great perks, and getting to work on an industry-leading product. If this sounds unlike most tech jobs you've had, you're right. Come join us. We're building something special. About the Engineering Team You'll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between. We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other. Learn more about the Invoca development team on our blog and check out our open source projects. About the Role Are you looking to work with smart people who are as committed to building great teams as they are to building great products? Invoca offers a unique opportunity to make significant contributions to machine learning and data science, particularly in conversation intelligence, marketing, sales, contact centers, and user experience optimization. You are excited about this opportunity because you get to: Research and build groundbreaking machine learning techniques by leveraging Bayesian methodologies, neural networks, regression models, and other state-of-the-art approaches. Lead the adaptation and implementation of advanced machine learning techniques to solve customer problems. Design and implement fine-tuning pipelines for adapting foundation models to domain-specific use cases. Create efficient data collection and curation workflows for fine-tuning datasets. Develop RAG architectures that effectively combine LLMs with enterprise knowledge bases. Design comprehensive evaluation frameworks for fine-tuned models and RAG systems Be at the forefront of applying generative AI techniques to conversational data. Conduct independent research into the latest academic papers to develop innovative solutions for customer problems and to support various use cases within our product offerings. Refine and advance the mathematical models and algorithms that power our core Bayesian engine. Write and optimize code using our data science libraries and frameworks. Provide mentorship and guidance to members of our data platform team, including data scientists, data engineers, software engineers, and product managers Document and educate team members on analysis methodologies, models, assumptions, error measurements, data sources, transformations, and tools/processes used in the Invoca Data Science process. Support diversity, equity, and inclusion initiatives at Invoca. At Invoca, a Staff Data Scientist is an experienced individual contributor with a focus on solving technical machine learning challenges and mentoring other team members. Our dedicated data platform team leverages a blend of cutting-edge technology, including our proprietary and patented solutions and tools from leading vendors, to develop an exceptionally scalable data modeling platform. Our overarching objective is to seamlessly deliver models through our robust API platform, catering to both internal stakeholders and external clients. Your pivotal role will focus on optimizing model quality and performance. Ultimately, the models we deliver are consumed directly by our feature engineering teams to deliver new data insights, translating to enhanced value for our customers. About You We are excited about you because you have: 7+ years of professional experience or graduate-level coursework in data science, machine learning, statistics, physics, or a related field. Advanced proficiency in applying machine learning techniques to real-world problems. Advanced proficiency in Python, including expertise in data processing libraries (e.g., spa Cy, Pandas), data visualization libraries (e.g., Matplotlib, Plotly), and familiarity with machine learning frameworks. Intermediate proficiency implementing and evaluating fine-tuning approaches (LoRA, QLoRA, full fine-tuning) Intermediate proficiency in using vector databases (e.g., Pinecone, Weaviate). and embedding models for RAG systems Intermediate proficiency with big data technologies and frameworks (e.g., Spark, Hadoop). Intermediate proficiency working with the Databricks platform (e.g., Job/Compute, Delta Lake) or a similar platform for data analysis and model training tasks. Intermediate proficiency in Bayesian statistics and its application to machine learning. Basic proficiency with cloud platforms such as AWS, Google Cloud, or Azure. An advanced degree in mathematics, statistics, physics, computer science, or equivalent professional experience. Intermediate proficiency in C and C++ is a bonus but not required. Salary, Benefits & Perks: At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include: Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. Flexible Time Off - We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed. Paid Holidays - Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family. Health Benefits - Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included. Retirement - Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%. Stock Options - All employees are invited to share in Invoca's success through stock options. Mental Health Program- Well-being support on a broad range of issues is available through our SpringHealth program. Paid Family Leave - Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members. Paid Medical Leave - Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs. InVacation - As a thank-you to our long-term team members, we offer a bonus after 7 years of service. Wellness Subsidy - We provide a subsidy that can be applied toward gym memberships, fitness classes, and more. Position Base Range - Salary Range $160,000 - $206,000/ plus bonus potential This role is remote and open to candidates located in the United States and Canada. Please note that we are unable to provide visa sponsorship for this position. DEI Statement We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. #LI-Remote

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

Grounded in safety, quality, and ethics, our experts lead their fields and guide our work with rigor, a creative spirit, and vision for growth. We draw from more than 20 technical specialties around the globe and are committed to fostering an inclusive community of diverse talents, backgrounds, and expertise. We're a place to apply your passion and collaborate with top environmental talents on work that's critical to our clients and the communities they support. Join a team that has the environment down to a science Your Opportunity Stantec Government Services (GS) is seeking a creative and resourceful Data Analyst to support Range Management and other mission-related functions at the Marine Corps Air Ground Combat Center (MCAGCC) located in Twentynine Palms, CA. Stantec GS is a professional infrastructure and environmental services company, with expertise in the planning and implementation of encroachment control and mitigation efforts at military installations and associated operational equities throughout the United States. We seek: + Highly motivated and experienced team players + Resourceful individuals who can rapidly learn and apply new concepts + Individuals who think and create, enhancing our Company and our clients with a steady flow of fresh ideas, new perspectives, and energy Your Key Responsibilities The successful candidate will have experience with business process analysis, database design, content management, process automation, data analytics, streamlining of information exchange, and other related improvements. The position will require design input, implementation, and management of business process improvements that leverage Microsoft Office 365 and content management service cloud environments and utilize Microsoft's PowerBI and other data source connector applications to improve data access, integration, visualization, decision support and management. This position will be full-time on-site at MCAGCC Twentynine Palms, CA. Qualifications Your Capabilities and Credentials + Excellent organizational skills, multi-tasking capabilities, and attention to detail + Strong technical writing, analytical, and oral communication skills + Ability to relate decision points in a business process to the insights and data necessary to guide the process + Experience with Microsoft Office 365, SharePoint and PowerBI + Ability to handle multiple tasks and shifting priorities + Ability to manage time effectively and meet firm deadlines + Working knowledge of military operations and codes of conduct + Ability to work independently and with minimal supervision + Ability and commitment to work collaboratively with all groups, including staff, management, clients, and other stakeholders + Must pass a pre-employment drug screen + Must possess valid driver's license with good driving record Preferred + Strong understanding of SQL and relational databases + Understanding of geographic information system (GIS) data management principles and spatial integration within databases (geodatabases) + Proficiency in Microsoft office and Adobe Acrobat + Experience and ability to communicate technical information to non-technical audiences Education and Experience + Bachelor's degree in database design/management, computer science, information technology or related field + Minimum 3 years' experience + Must have or be able to obtain any required federal government clearances, including a Common Access Card (CAC) _This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice._ Stantec is a place where the best and brightest come to build on each other's talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best. Pay transparency laws require employers to provide the following information for positions that may be in the following jurisdiction(s): Salary Range(s): * $62,600 - $111,000 Min/Max Pay Range for postings located in CA (SF Area includes SF, SJS & WLC) The final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Benefits Summary: Regular full-time and part-time employees have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law). Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law. _The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements._ Primary Location : United States-California-Santa Barbara Organization : BC-2374 EnvSvcs-US Government Services Employee Status : Regular Job Level : Individual Contributor Travel : No Schedule : Full-time Job Posting : Mar 18, 2025, 2:00:35 PM Req ID: 250000UI Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, color, religion, sex, national origin, age, marital status, genetic information, disability, protected veteran status, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with local, state and federal laws and regulations and ensures equitable opportunities in all aspects of employment. EEO including Disability/Protected Veterans

The Role: Our site in San Luis Obispo, CA is seeking a Research & Development Co-Op to join our team for the Fall 2025 season. This assignment is intended to be 6 months in duration. In this role, the co-op will assist the R&D team in documenting both historical data and new data we are collecting. They will have an opportunity to learn basic experimental design and documentation of results for transfer of new products to the operations team. What You'll Do: * Conduct thorough tests to evaluate the effectiveness of the process and ensure the validity of results. * Review test information to summarize media quality performance using pre-existing qualification data. * Review and update all current documents to meet new standard templates. * Document the final test procedure for seamless transfer to the QA laboratories. What We Seek: * Detail-oriented * Data analytics skills * Ability to interpret and present data Desired Major(s) & Graduation Year: * Chemistry, Chemical Engineering, Mechanical Engineering, Industrial Engineering * Graduating in December 2025 - 2027 Eligibility: * Must be a currently enrolled student * Available to work 40 hours a week, M-F (8a-5p) beginning in July through December * Must be familiar with the university's requirements to participate in a co-op program * Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future. * PHYSICAL REQUIREMENTS: Must be able to lift up to 50lbs and climb ladders WHY WORK AT ENTEGRIS? Lead. Inspire. Innovate. Define Your Future. Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization - not just when it's convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office. WHAT WE OFFER Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. * Compensation: $20-$30/hour range with actual pay dependent on candidate overall skills for the role * Eligibility to participate in comprehensive medical plan * Participation in the Entegris 401(k) retirement savings plan * Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.

Our small data science team is changing the way healthcare decisions are made. We're taking advantage of new technologies and the latest in statistics and machine learning to rapidly analyze new kinds of healthcare data. We have one-of-a-kind access to health and behavior datasets, and we're using it to change the world for the better. Our distributed data processing and analysis pipeline is built on top of technologies like Spark, Hadoop, Elasticsearch, Python, and Scala, and we need brilliant engineers to help us scale it and adapt it to new challenges. This is the perfect job if you have a software engineering background and want to get involved in healthcare and big data engineering. We have offices in Menlo Park, CA and Santa Barbara, CA and a Surf Air membership so you can rove between the offices. This position is in Santa Barbara, CA. Job Description Responsibilities: Own our data ETL pipelines Investigate, prototype, and validate new analytics systems Optimize our analytics systems for performance, cost, and availability Design and implement new data analytics systems using top-notch software engineering practices Work closely with our Data Scientists to deliver dashboards, insights, and data pipelines to clients Qualifications Requirements: Background in quantitative fields (Computer Science, Engineering, Math, Physics) You're a strong analytical thinker and coder. Think ACM-ICPC, IOI, and IPSC. You're a great software engineer who writes modular, extensible, well-designed systems. You have solid experience with Python and SQL. You value learning, personal growth, teamwork, and excelling at what you do. Additional Information All your information will be kept confidential according to EEO guidelines.

What we're looking for: As a member of the Data Platform Engineering team, the Data Engineer II will work collaboratively to develop an infrastructure that ingests data from disparate sources, processes them real-time and routes them to various target storages and applications, while providing access to high quality data to users, ranging from application developers interested in specific events to data analysts keen on business intelligence to data scientists training ML models.. At AppFolio, we paddle as one. We ride and make waves together, with a relentless focus on building great products for the way our customers work and live today - and tomorrow. AppFolio is a destination organization where careers are made and accelerated. Here, innovation is a team sport. Your impact: * Design, build and operate on next generation data pipeline infrastructure based on Apache Kafka and its ecosystem * Improve data architecture, quality, discoverability and access policies to enable and enforce data governance * Collaborate with engineers, data analysts and scientists to ensure that our data infrastructure meets the SLOs of our data-intensive customers * Develop techniques for monitoring the completeness, correctness and reliability of our data sets * Leverage agile practices, encourage collaboration, prioritization, and urgency to develop at a rapid pace * Research, share, and recommend new technologies and trends Qualifications * You have hands-on experience with using Apache Kafka in production and have a passion for building a reliable, scalable and fault-tolerant infrastructure. * You have industry experience with working with real time transformation technologies such as Apache Flink * You have worked with a variety of data sources, including change data capture systems, data streaming and event sourcing in production. * You have hands-on experience with data warehouse technology, particularly with Snowflake. * You embrace the platform-first approach to build standard solutions and self-serve capabilities for engineering teams * You want to work with a high degree of autonomy, while at the same time working on initiatives of high importance to the company. * You care about work-life balance and want your company to care about it too; you'll put in the extra hour when needed but won't let it become a habit. Must have * 3+ years of experience with Apache Kafka, Kafka Connect and its ecosystem * 2+ years of experience in streaming processing technologies, such as Apache Flink * 2+ years of experience with AWS primitives (IAM, VPC, S3, MSK, EKS, etc.) * 3+ years of experience working with programming languages like Python or Ruby * Excellent SQL skills with working knowledge of query optimization * 2+ years of experience working with Infrastructure as Code, configuration management, and monitoring tools. * Bachelors in Computer Science or other quantitative fields. Nice to have * Experience with Debezium connectors * Experience with large scale Data Lakes and Lake Houses, especially with Apache Iceberg is a plus * Experience with distributed SQL query engines, such as Trino is a plus * Experience with containers and container orchestration tools. Docker and Kubernetes experience is desirable. * Data science skills for analyzing data and communicating with ML engineers are a plus. Compensation & Benefits The base salary/hourly wage that we reasonably expect to pay for this role is: $104,000 to $130,000. The actual base salary/hourly wage for this role will be determined by a variety of factors, including but not limited to: the candidate's skills, education, experience, etc. Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.

The National Center for Ecological Analysis and Synthesis (NCEAS) at UCSB seeks a data analyst to support a research program focused on developing a Western Wildfire Resilience Index for the US and Canadian West (******************************** Built on the success of the NCEAS' Ocean Health Index, the Wildfire Resilience Index will provide policymakers and the public with clear, actionable metrics on wildfire resilience to improve management. As part of this multi-year project, you will work together as part of a dynamic project team, including an expert working group, a postdoctoral fellow, a project lead, several data analysts, and a web developer. Together this team is working to create the first quantitative, applied index of wildfire resilience in the west. This is position will be based at NCEAS in Santa Barbara, California Position Description As a successful Data Analyst, you will use your analytical skills and knowledge to support the development of a suite of indicators and a comprehensive indicator framework to quantitatively measure wildfire resilience at scales applicable to management. This position will give you significant opportunities to hone and apply a diverse analytical skillset and work at the critical interface of ecological synthesis science and applied management solutions. Guided by an expert working group and in partnership with the project team, you will participate in the Index development and synthesis process. You will contribute to the development of data pipelines and reproducible analytical workflows to integrate heterogeneous sources of data (tabular, geographic, remote sensing, etc.) for the project team, with a particular focus on machine learning and AI-accelerated analytical processes. You will also gather, organize, and document code and data processes involved in calculating the WWRI and work with the WWRI Web Developer to create interactive data visualizations and compelling infographics. Preference is for someone who can start by Feb. 1, 2025 but we are open to other start dates. RESIDENCY AT NCEAS: NCEAS is located in scenic downtown Santa Barbara, California. The Center is known for fostering interaction and collaboration, a characteristic that leads to the success of its scientists. NCEAS has a growing and thriving community of postdocs, resident scientists, and analysts, and a frequent influx of leading scientists and practitioners from around the world participating in working group projects across a diverse range of initiatives. NCEAS is also a leader in data science training, offering courses and expertise in reproducible workflows, data infrastructure, and environmental statistics. We expect that employees will contribute their knowledge, interests, and enthusiasm to the intellectual atmosphere. The employee should anticipate spending the vast majority of their time in residence at the Center and will have the opportunity to travel to relevant national and international events and conferences, with a special focus on meeting and networking opportunities across the Western US and Canada. NCEAS is committed to improving diversity and inclusion in science. We value the diversity of expertise, backgrounds, needs, and experiences reflected among our residents, visitors, and broader communities. We are committed to providing a safe, productive, and welcoming environment for everyone, regardless of race, ethnicity, religion, age, gender identity, parental status, sexual orientation, (dis)ability, citizenship status, and nationality. To see the steps we are taking to advance diversity and inclusion please see our full statement here: *********************************************** The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service.

Notice of Change: the deadline for this recruitment was updated from April 1, 2025 to March 25, 2025. This is an excellent opportunity to begin a rewarding and reliable career with the Information Technology Department at the County of Santa Barbara. Come and be a part of a team of talented individuals who are passionate about fostering a culture of teamwork, learning and respect! In the IT Department our success is powered by people and technology. Our culture is what makes IT a fun and rewarding place to work! We establish, develop and nurture partnerships and open communication within our communities. We embrace a willingness to learn and accept new ideas, to actively listen and to be receptive to change. We strive to grow our talents and do our best in the service of others while taking pride in our work. We explore and deliver new and creative ways to pair technology with business needs. We ensure the resources necessary to succeed and encourage thoughtful participation leading to inclusion and ownership. Compensation: the payroll title for this job classification is EDP Systems and Programming Analyst EDP Systems and Programming Analyst I: $95,209.92 - $114,622.56 annually. EDP Systems and Programming Analyst II: $104,436.80 - $125,881.60 annually. NOTE: Candidates may be appointed at the I or II level, depending on the candidate's qualifications and the needs of the department. The Position Under general supervision, this role involves conducting professional data analysis from various sources. Responsibilities include extracting, transforming, and loading data to prepare it for use, writing queries to obtain necessary data, and generating insightful reports. The position requires designing engaging displays such as dashboards, charts, graphs, and infographics to facilitate understanding of the data. Additionally, it involves creating automated routines to streamline data collection and interpretation, as well as implementing and testing backup and recovery plans to protect the integrity of the data. Related duties may also be assigned as needed. We are currently recruiting to fill one full time vacancy. Remote work is permitted but onsite work in Santa Barbara, CA is required when needed (typically 2-5 times per year; lodging/travel expenses are not provided). Employees of the County must reside in California. At this time, this position is not eligible for visa sponsorship. Applicants must have permanent work authorization to work in the United States without the need for visa sponsorship by the start date of employment. The payroll title for this role is EDP Systems and Programming Analyst. Highlighted Benefits: Primarily remote schedule Health Plan: County contributes towards premium; HSA offered Pension Retirement Reciprocity with other public sector retirement systems (like CalPERS) 13 holidays, 12 sick leave days (unlimited accumulation), and 12 to 25 days of vacation (based on length of service) per year Time and service credit towards an advanced vacation accrual rate for previous public service. For more information on County benefits, please click here. Examples of Duties Collects, compiles, processes, analyzes, and interprets data from various sources. Designs, administers, updates, and implements data query, extraction, translation, interface, and loading scripts; creates easy-to-use automated routines to streamline data collection and extraction. Creates and implements dashboards, charts, graphs, tables, infographics, and other data displays. Maintains data quality by creating and implementing data cleansing processes; performs routine maintenance procedures; troubleshoots problems; reindexes and updates data. Identifies and interprets data trends and patterns as they relate to the organization. Researches, designs, and configures databases and data systems; researches emerging database and data system technologies; tests new and upgraded systems. Administers, operates, maintains, and upgrades existing databases and data systems; checks for database consistency and addresses errors; monitors performance. Creates and manages tables, indexes, and related systems and processes. Designs and implements backup and recovery plans; tests backup plans and performs database restores as needed. Analyzes collected data and transforms it into a format that others can easily interpret. Prepares technical, administrative, and other reports for organizational leadership to use in a business setting. Collaborates with other employees, including engineers and programmers, to determine areas of improvement in relation to data; recommends and administers collaborative solutions; implements integrations and interfaces between data systems. Stays current with emerging technologies and trends in the field of data analysis. Ensures compliance with laws and ordinances pertaining to data security, computer systems, applications, and associated infrastructure operations and activities. Within assigned areas of accountability, represents the department to outside agencies and organizations; participates in outside community and professional groups and committees; provides technical assistance as necessary. Researches and prepares technical and administrative reports; prepares written correspondence. Builds and maintains positive working relationships with co-workers, other District employees, and the public using principles of good customer service. Performs related duties as assigned. Employment Standards Completion of 24 quarter/18 semester units of college level courses in the principles and methods of systems analysis, systems design, computer program design, computer programming using a language utilized by the hiring department, and information system technology, and two years of experience writing business application programs; or, A combination of training, education, and experience that is equivalent to one of the employment standards listed above and that provides the required knowledge and abilities. Knowledge of: principles and methods used in analysis and development of data processing applications; principles of systems and procedures analysis; uses and limitations of data processing applications; principles of information entry, storage, and retrieval; programming languages applicable to systems in use; current developments in data processing; operating capabilities of common hardware configurations; principles and techniques of computer programming; basic math to develop simple equations in programming applications and to estimate costs of systems; and basic principles of electronic data communication. Ability to: define problems, collect and analyze data, validate conclusions, and make recommendations; modify and write programs for efficient applications; write instructions and procedures; write systems and programming documentation; prepare clear and concise memos and written reports; identify and take corrective actions to solve problems in programs and production systems; communicate on technical issues with individuals with varying degrees of computer familiarity; apply advanced programming languages and programming tools; establish and maintain effective working relationships with users and others contacted in the course of work; read and interpret technical instructions used for such tasks as coding and operating systems; organize work and set priorities to meet deadlines; work within prescribed time constraints. Additional Qualifications: Employment in this job classification requires successful completion of a background investigation, may require the possession of a valid California Class C Driver's License and the availability to work off hours on occasion for emergencies. For work related issues, the incumbent may need to travel throughout the County regardless of the assigned location. Supplemental Information Selection Process Review Application to determine applicants that meet the employment standards. Supplemental Questionnaire Ranking: Applicants who meet the employment standard will have their responses to the supplemental questionnaires evaluated and scored. Candidates' final score and rank on the eligibility list will be determined by the scored supplemental questions. This process may be eliminated if there are fewer than 11 qualified candidates. Candidates must receive a percentage score of at least 70 on the Supplemental Questionnaire Ranking to be placed on an employment list. An adjustment may be made to raw scores based on factors listed in Civil Service Rule VI. Those candidates who are successful in the selection process will have their names placed on the employment list for a minimum of three months. At the time the employment list is established, all candidates will receive written notice of their score on the exam(s), rank on the employment list, and exact duration of the employment list. Completion of a 12-month probationary period is required. Conditional Job Offer: Once a conditional offer of employment has been made, candidate will be required to successfully complete a background check, which includes a conviction history check, LiveScan fingerprinting, satisfactory reference checks, as well as a post-offer medical evaluation or examination. REASONABLE ACCOMMODATIONS: The County of Santa Barbara is committed to providing reasonable accommodation to applicants. Qualified individuals with disabilities who need reasonable accommodation during the application or selection process should contact the recruiter listed on the job posting. We require verification of needed accommodation from a professional source, such a Medical Provider or a learning institution. Disaster Service Worker: Pursuant to Governmental Code section 3100, all employees with the County of Santa Barbara are declared to be disaster service workers subject to such disaster service. Activities as may be assigned to them by their superiors or by law. Statement of Commitment The County of Santa Barbara is dedicated to cultivating and sustaining an environment that exhibits equity and inclusion everywhere, and at all levels of our organization. The County believes equity is a fundamental principle that must be imbedded in policies, institutional practices and systems. The County recognizes the negative impacts of systemic racism and is committed to eliminating the barriers affecting Black, Latinx, Indigenous, Asian, and socioeconomically disadvantaged community members, as well as people of other diverse racial and ethnic backgrounds. We envision a world where society and its systems (e.g. education, criminal justice, and health care, housing, the economy) are just, fair, and inclusive, enabling all people to participate and reach their full potential. We celebrate community and employee diversity, strive for inclusion and belonging, and promote empowered participation. We aspire to build a workforce that is reflective of these values and the communities we serve. We are proud to be an equal opportunity employer and will resolutely uphold federal, California state law and/or Santa Barbara County ordinances. We believe equity and inclusion are vital to fulfill the County's mission and to embody a culture of “One County, One Future.” Expanding the full range of employee talent allows the County to deliver our best to all our community members. We believe in the dignity and humanity of all people. We strive for a healthy and prosperous society that promotes all people having equitable access and opportunity. APPLICATION DEADLINE: Tuesday, March 25, 2025, at 4:59 p.m. PST, postmarks not accepted. You can view job postings and apply online 24 hours a day at ********************* Recruiters will correspond with applicants by email during each step of the recruitment process. Applicants are reminded to check spam filters continuously during the Selection Process steps to ensure they do not miss required deadlines. For any questions, please contact Sabina Netto, ITD Human Resources Manager at *********************

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.