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About Neudesic Passion for technology drives us, but it's innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Summary Neudesic is currently seeking a Senior Consultant - Data Scientist for our Data & AI Practice. This role will report to the Regional Director of Data & AI. The role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Requirements: 3+ years of hands-on experience in building and deploying machine learning and/or generative AI solutions in a business environment Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Business Analytics, Statistics, Mathematics); advanced degree preferred Proven expertise with Databricks and Microsoft Fabric for data engineering and ML workflows Proficient in Python (including ML/AI libraries such as scikit-learn, PyTorch, TensorFlow) and SQL; experience with R is a plus Strong understanding of statistical modeling, machine learning, MLOps, and large language models (LLMs) Demonstrated ability to work with large, complex datasets and relational/cloud-based databases (e.g., Azure SQL, Delta Lake) Experience operationalizing ML models and pipelines in production environments Preferred Qualifications Experience with cloud platforms, especially Microsoft Azure (Azure Machine Learning, Azure Data Lake, etc.) Familiarity with modern data engineering tools and orchestration frameworks (e.g., dbt, Apache Airflow, Delta Live Tables) Experience with data visualization and BI tools (e.g., Power BI, Tableau) Ability to communicate complex analytical and technical concepts to both technical and non-technical audiences Strong data storytelling skills and ability to drive insights from exploratory and visual analysis Intellectual curiosity, strong problem-solving skills, and a collaborative, team-oriented mindset Demonstrated leadership, relationship-building, and mentoring abilities More about our Predictive Enterprise Service Line: The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what's happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: · Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. · Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. · Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. · Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Phishing Scam Notice Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************

Please no third party applicants A pharmaceutical company is looking for a Senior Biostatistician for a 6-month renewable project. This consultant must be very hands-on and have proven experience supporting regulatory submissions. In addition, they must possess strong programming skills (TLFs) and CDISC expertise. Strong communication is critical. EXPERIENCE & QUALIFICATIONS 8-10+ years of biostatistics experience in the pharmaceutical industry with recent Sponsor side experience Minimum of MS degree in Biostatistics/Statistics Must have recent hands-on statistical experience such as drafting SAPs and conducting programmatic TLF reviews Proven track record with regulatory submissions Ability to analyze data and provide guidance to the statistical programming team if needed Excellent communication skills to interpret and explain complex results to the study team LOCATION: Work will be performed remotely and prefer to accommodate PST core working hours.

Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide Completing research and evaluation tasks in a web-based environment, such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference in the world! TELUS Digital AI Community Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role; however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project, and your work will be subject to our standard quality assurance checks during the term of this agreement. Basic Requirements Full Professional Proficiency in the English language Being a resident in the United States for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in the United States Ability to follow guidelines and conduct online research using search engines, online maps, and website information Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance Daily access to a broadband internet connection, computer, and relevant software Assessment In order to be hired into the program, you'll take an open-book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe, but at your convenience. Equal Opportunity All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants' qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

, Inc. Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco. About the Team At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. The Recommendation Algos team leverages personalization algorithms to power the Fix experience, which involves a combination of modeling style, diversity, long-term client behavior, and expanding Stitch Fix's total addressable market. In doing so, this team builds assortments that delight our clients while at the same time explore a client's stylistic preferences and drive client engagement. About the Role In this role, you will contribute to building the future of personalized apparel shopping by thoughtfully combining algorithms with product innovation. A key area of focus is the continued improvement of the quality of recommended assortments along various dimensions, including seasonality, diversity, and freshness. A secondary area is the ability to deliver high-quality recommendations in real time to engage and delight new clients and therefore expand our total addressable market. This role has a tremendous and direct impact on the business' bottom line and provides a unique opportunity to work cross-functionally across Strategy, Product, Merchandising, Styling, Marketing, and Engineering stakeholders. You're excited about this opportunity because you will… Support and execute the strategic vision of recommendation approaches for both algorithmically-generated assortments as well as human-in-the-loop augmented recommendations Manage experiments to test new features, including any communication of the experiments' results to stakeholders, and support the eventual launch of the feature Solve problems related to recommendation ranking and assortment generation. Modeling tools could include deep learning, weighted re-ranking, gen AI, or any other state of the art technique. Productionize models and systems partnering with our data platform team for real-time applications Leverage unique data about our clients, our merchandise, and their interactions to identify and solve client needs Work with our product, product design, and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure We're excited about you because… You have a solid understanding in modeling and experimentation You have led end-to-end machine learning and data projects, from inception to production and are proficient in deploying apps in Python You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field. You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners You are a compassionate team player and you see your growth and success entangled with the growth and success of your peers You are innovative and inspired to take on new challenges and you do not shy away from potential failure You think about ethics in AI, the impact of machine learning on society, and want to bring that to bear in our work here Why you'll love working at Stitch Fix... We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix. We cultivate a community of diverse perspectives- all voices are heard and valued. We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships. We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact. We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range$153,700-$226,000 USD This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: ****************************************************************

We are seeking a detail-oriented and analytical Remote Data Analyst to join our team. In this fully remote role, you will be responsible for collecting, interpreting, and transforming data into meaningful insights that support strategic decision-making. If you have a passion for data analytics, reporting, and continuous improvement, we encourage you to apply. Responsibilities Collect, clean, and analyze datasets to support business operations and decision-making Develop dashboards, reports, and visualizations that communicate key trends and insights Identify patterns, anomalies, and opportunities for optimization across various datasets Maintain accurate documentation of data sources, methodologies, and reporting processes Collaborate with cross-functional teams using virtual meetings and digital communication tools Ensure data integrity, security, and compliance with organizational standards Stay updated on the latest data analysis tools, technologies, and industry best practices Requirements Degree in Data Analytics, Statistics, Computer Science, Information Systems, or a related field 12 years of experience in data analysis or a related role (or willingness to participate in training) Proficiency with data analytics tools (e.g., Excel, SQL, Python, R, Tableau, Power BI) Strong understanding of data modeling, statistical concepts, and data visualization techniques Excellent analytical, problem-solving, and critical-thinking skills Strong communication and collaboration abilities Reliable high-speed internet connection and a quiet, distraction-free workspace Training Program No prior experience? No problem we offer a comprehensive 3-week virtual training program covering: Data analytics fundamentals and best practices Hands-on training with data analysis tools and visualization platforms Data security, compliance, and quality assurance techniques Collaboration and communication skills in a remote environment Salary Hourly Rate: $42.50/hour (based on a 40-hour workweek) Benefits Comprehensive health insurance 401(k) plan with company match Paid time off (vacation, sick leave, holidays) Performance-based bonus opportunities What We Offer Full benefits package including health insurance, 401(k), and paid time off Flexible, fully remote work environment Opportunities for professional growth and career development Bonus structures for outstanding performance If you are a motivated, detail-oriented professional with a passion for data analysis and enjoy working independently, please submit your application along with your resume and cover letter. Required qualifications: Legally authorized to work in the United States Preferred qualifications: 21+ years or older

. JerseySTEM is looking for talented professionals across our departments to commit time and energy as long-term engagement for our mission to provide STEM education to underrepresented middle school girls. The Staff Analytics Team Lead will lead and manage the team, analyze data, and generate insights to optimize staff performance and workforce planning and enhance organizational efficiency through data-driven decision-making. Responsibilities Lead and manage the Staff Analytics team, providing direction, guidance, and support in data analysis and reporting. Collaborate with HR and other departments to identify key metrics and data requirements for workforce planning and decision-making. Design and implement data collection processes and systems to ensure accurate and reliable data. Analyze and interpret data to generate insights and recommendations for improving staff performance and organizational efficiency. Prepare and present reports and dashboards to senior management and stakeholders. Stay up-to-date with industry trends and best practices in data analytics and workforce management. Qualifications Bachelor's or Master's degree in Data Science, Statistics, Business Analytics, or a related field. Proven experience in data analytics and reporting, preferably in a leadership role. Strong analytical and problem-solving skills, with the ability to interpret complex data sets. Proficiency in data analysis tools and software such as Excel, SQL, Python, or R. Excellent communication and presentation skills. Leadership and team management abilities. Detail-oriented and able to handle multiple projects simultaneously. Data-driven mindset with a focus on delivering actionable insights.

9th Way Insignia is a service-disabled, veteran-owned small business bringing transformative technology to our government customers so they can achieve their missions. Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence. Learn more about 9th Way Insignia at **************************** Application password: Niner 9 th Way Insignia provides business intelligence and analytics solutions to meet a range of needs from basic data integration, business analytics, and intuitive graphical analyses, to AI and machine learning tools that develop advanced statistical models on both structured and unstructured data. Our software and business intelligence designs include identifying and developing opportunities to eliminate the need to perform repetitive, simple activities through use of bots, or to enhance and improve user experience with chatbots or intuitive, data-driven prompts that improve quality and reduce user stress. Data science Data platform design Big data architecture Data visualization Machine learning (ML) Robotic process automation (RPA) Natural language processing (NLP) Latent semantic indexing (LSI) Statistical modeling and algorithm development 9th Way Insignia's range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Clearance/Background Investigation Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Benefits Eligible employees will have access to our comprehensive benefits package which includes Medical, Dental, Vision, Voluntary Life Insurance, 401(k), Basic Life A&D, STD, LTD, PTO, Telehealth, paid holidays, FSA, HSA. Additional resources include our Employee Assistance Program (EAP) and Traveling Assistance. Legal We're an equal employment opportunity employer that empowers our people to fearlessly drive change - no matter their race, color, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, or local law.

PlanetScale is growing rapidly and reinventing the transactional database market. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads - without sacrificing developer experience. PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a leader to build and lead PlanetScale's Data Science function to support best in class analytics, forecasting, and decision-making. What's the job to be done? Build and be responsible for PlanetScale's data and analytics efforts from zero to one, and play a leading role in shaping decision making through data. You will be the key lynchpin connecting the business with data to inform how we are executing against our company goals and where to direct our resources. Your scope will be broad and cover at least the following: GTM Analytics: Partner with Marketing, Sales, and Customer Engineering to deliver pipeline, conversion, and ROI analytics; build forecasting for new business and retention, attribution, CAC/payback reporting. Product Analytics: Drive analysis of feature adoption, engagement, and retention indicators. Paint a picture of our customers' health in general and across key areas of the product. Take ownership for implementing experimentation and testing to understand the success or failures of growth and product efforts. Analytics Engineering: Own our data warehouse and metric layer using your tools of choice. What you will need Fluency in SQL and analytical modeling: Expert at pulling, joining, and transforming data from complex schemas; able to define and maintain core business metrics (ARR, retention, funnel conversion) with precision. Hands-on experience building dashboards and analyses: Comfortable creating KPI dashboards in modern data analysis tools and running ad-hoc SQL analyses to drive product and business decisions. Proficiency with dbt or modern transformation frameworks: Capable of designing modular, testable models and documenting data logic for reusability. Analytical and statistical breadth: Skilled in experimentation (A/B testing, lift measurement), cohort and retention analysis, forecasting (Prophet, ARIMA), predictive modeling (e.g., lead scoring, churn prediction), and casual models. Python: Confident using Python notebooks for analysis, data cleaning, and lightweight modeling; familiarity with pandas, scikit-learn, or equivalent libraries. Working knowledge of data pipelines and orchestration: Can contribute to or extend ETL/ELT jobs in Airflow or Dagster; understands ingestion from SaaS and event sources. Bias for action and autonomy: Operates comfortably in a startup environment, prioritizing impact over perfection. Ability to collaborate across all functions: Excellent communication with everyone from execs to engineers; covering everything from schema design to collaborating on KPIs, experiments, and insights. Awareness of warehouse performance and governance (nice to have) - Familiar with optimizing BigQuery or Snowflake queries, managing spend, and monitoring data quality and lineage Why PlanetScale PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We're proving that blockchain isn't just theory - it's powering real products used by hundreds of thousands of consumers and institutions. By combining blockchain's transparency and efficiency with AI-driven automation, we've reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes. Together with our 170+ partners, we've originated over $17 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets. We're proud to be recognized as one of Forbes' Most Innovative Fintech Startups in 2025 and Fast Company's Most Innovative Companies in Finance and Personal Finance. About the Role At Figure, we're redefining what's possible at the intersection of finance and technology. Fresh off our IPO, we are building the next generation of financial infrastructure, transforming how capital moves, how credit is assessed, and how customers experience financial products. Our data team sits at the heart of that transformation, powering decisions from risk modeling and capital allocation to growth strategy. As a Principal Data Analyst, you will be a cornerstone of our analytics organization, partnering closely with Credit/Risk and Capital Markets to drive real financial outcomes. Your work will directly influence lending decisions, portfolio optimization, and the strategies behind our capital markets platform. You will connect analysis to the bigger picture across markets, products, and mission, combining analytical rigor with business intuition to help leaders understand what is happening and why it matters. You will also elevate our toolkit by building intuitive Tableau dashboards, writing performant BigQuery SQL, and designing frameworks that make insights repeatable and scalable across the company. What You'll Do Act as the analytics lead for Credit/Risk and Capital Markets, guiding decision-making through data-driven insights. Partner with cross-functional leaders to shape the questions that matter most, then answer them through thoughtful analysis and storytelling. Design and maintain robust Tableau dashboards that translate data into actionable narratives. Write and optimize BigQuery SQL to extract, transform, and analyze large-scale datasets. Develop analytical frameworks and models that support risk forecasting, pricing strategies, and portfolio performance. Apply statistical and experimental methods to test hypotheses, quantify uncertainty, and inform strategic trade-offs. Communicate findings clearly and persuasively to senior stakeholders. Champion a culture of data accuracy, curiosity, and continuous improvement. What We Look For 7+ years of experience using data to drive measurable business impact. Deep proficiency in SQL (preferably BigQuery) and expertise with complex joins, subqueries, and recursive logic. Advanced experience with Tableau; you know how to build dashboards that influence decisions, not just report them. Strong understanding of risk modeling, credit analytics, or capital markets data structures. Proven experience in fintech or financial services environments. Working knowledge of Python for data manipulation, automation, or modeling. Appreciation for statistical concepts like causal inference, bias detection, and experimental design. Clear, confident communication with both technical and non-technical audiences. Comfort navigating ambiguity and setting analytical direction in fast-moving environments. A natural curiosity about how finance, technology, and data intersect to drive innovation. Bonus Points Experience supporting product analytics or growth initiatives. A passion for problem-solving; you can't resist finding out why a metric behaves the way it does. You embrace learning from mistakes and are energized by challenges that don't have an obvious answer. Salary Compensation Range: $158,400-$198,000/yr 25% annual bonus target, paid quarterly Equity stock options package This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs Benefits Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans Company HSA, FSA, Dependent Care, 401k, and commuter benefits Employer-funded life and disability insurance coverage 11 Observed Holidays & PTO plan Up to 12 weeks paid family leave Continuing education reimbursement Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice. Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. #LI-MM1 #LI-Hybrid

JOB TITLE: (P) Data Analytics Support - REMOTE PAY RATE: Up to $43/hour We are a national aerospace and defense staffing agency seeking highly qualified candidates for a position with a top-tier client. Job Details: Job Type: Contract (12 months with potential for extension) Industry: Aerospace / Defense / Aviation Benefits: Medical, dental, and vision (Cigna) Perks: Bonus potential + Priority access via Tier 1 supplier Openings Nationwide: Thousands of opportunities across the U.S. Qualifying Questions: Are you a U.S. person as defined under ITAR regulations? Do you meet the educational and experience requirements for this role? Can you commute to the job location or relocate if necessary? Summary: Create clear, concise, and engaging communications to inform stakeholders on data ecosystem deployments Develop visually engaging technical training materials and user resources Engage stakeholders to gather feedback, address concerns, and ensure smooth implementation Build project roadmaps and deployment plans Support development of adoption metrics to track success Requirements: Strong written and verbal communication skills across multiple platforms (email, Teams, etc.) Ability to develop visually compelling materials independently or in collaboration with SMEs and leadership Proven stakeholder management and project tracking experience Familiarity with data and analytics organizations, including 1LMX tools and data governance Proficiency in Microsoft Office, Jira, Confluence, and ability to learn new tools quickly Comfortable working in a fast-paced, evolving environment Experience with Tableau or other data visualization tools Familiarity with process automation Must be a U.S. Person (as defined by ITAR). About Us: The Structures Company is a premier national aerospace and defense staffing agency specializing in contract, contract-to-hire, and direct hire placements. We deliver expert workforce solutions across engineering, IT, production, maintenance, and support roles. As trusted partners to major aerospace OEMs and Tier 1 suppliers, we connect professionals with opportunities to grow and excel in the aviation and aerospace industries. Eligibility Requirements: Must be a U.S. Citizen, lawful permanent resident, or protected individual under 8 U.S.C. 1324b(a)(3) to comply with ITAR regulations. Keywords: aerospace, aviation, engineering, maintenance, aircraft design, defense Take your career to new heights-apply today!

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

Role Description How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox's AI-first journey? As a Staff Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written Identify what matters most and prioritize ruthlessly for the area you will own Contribute to a culture of strong technical ownership, coach junior Data scientists in the team, and partner with Head of Data Science to keep evolving DS working model and elevate DS impact Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 9+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction Proficiency in SQL, Python or other programming/scripting languages Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Ability to provide data insights and recommendations for 0→1 product even when sample size is small Strong verbal and written communication skills Preferred Qualifications Experience in startups or building 0→1 products Expertise in using data to inform AI/ML product development Background in SaaS product and growth analytics Compensation US Zone 1$219,300-$296,700 USDUS Zone 2$197,400-$267,000 USDUS Zone 3$175,400-$237,400 USD

Do you have a passion for problem solving and a desire to drive meaningful change in the industry? If so, we invite you to join our dynamic Enterprise Data Warehouse Team as a Data Analyst - Enterprise Solutions at Quartz, a provider-sponsored health plan dedicated to improving the health and well-being of our communities. The Data Analyst - Enterprise Solutions will partner with business resources to evaluate data needs and translate into deliverables for internal users and analytics applications as well as external entities including third party data feeds, regulatory, and governmental data needs. The Data Analyst - Enterprise Solutions will use the following skills: Source to target documentation Intermediate knowledge of SQL and analytical software Apply data warehousing principles to load a data warehouse or provision data to third parties Apply healthcare domain knowledge when partnering with business resources to determine data needs Benefits: Work in new cloud-based data architecture leveraging snowflake and Azure environment. Work directly with internal and third-party business users to develop data solutions for the organization's growing analytic needs. Starting salary range based upon skills and experience: $77,200 - $90,000 plus total rewards package Responsibilities Collaborate with business users, external vendors and/or government entities to obtain data requirements for new analytics applications and data feeds or enhancement of existing products. Uncover appropriate sources of data for proposed application or data warehousing extension profiling data to ensure fitness for business purpose. Coordinate business requirements for the data and provide consultation to internal stakeholders to support their data needs. Understand source and target data structures, using standard data tools to review required data and fully profile the data to analyze its ability to meet the business needs. Complete impact assessments and ad hoc analyses to ensure that production issues and other reported deficiencies are adequately understood and resolved by updating requirements. Translate requirements into technical requirement specifications, appropriately documenting the solution via Report Specifications, Data Flow Diagrams, and Source to Target (STT) documents. Qualifications Bachelor's Degree with 2+ years of relevant work experience OR associate degree with 5+ years of relevant work experience OR high school equivalency with 8+ years of relevance work experience Strong communication skills with a passion for bridging the gap between business and technical users Data analysis experience with an emphasis on loading a data warehouse or provisioning the data to third parties Experience with source to target documentation Excellent documentation and written communication skills Domain knowledge (healthcare, EHS, managed care, Medicare, etc.) Intermediate knowledge of SQL, analytical software, query tools Intermediate knowledge of data warehousing principles including provenance, lineage, etc. and applies best practices Ability to manage multiple projects simultaneously, work independently, under pressure, and be adaptable to change Must be inquisitive and seek answers to complex questions without being prompted Create strong relationships and provide positive experiences for internal partners Hardware and equipment will be provided by the company, but candidates must have access to high-speed, non-satellite Internet to successfully work from home. We offer an excellent benefit and compensation package, opportunity for career advancement and a professional culture built on the foundations of Respect, Responsibility, Resourcefulness and Relationships. To support a safe work environment, all employment offers are contingent upon successful completion of a pre-employment criminal background check. Quartz values and embraces diversity and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified person with disability. #LI-DNI

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for tagging data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! Responsibilities Work independently with cross functional teams to develop software and system requirements. Design, implement, and deploy state-of-the-art machine learning models. Monitor the performance of the auto-tagging system and drive continuous improvement. Lead team code quality activities including design and code reviews. Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations. Provide technical guidance to team members. Skills Expertise in deep learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms. Ability to build and productionize machine learning models and large-scale systems. Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Ability to provide individual and team mentorship, including technical leadership for complex projects. Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning. Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch. Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery. Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs). Demonstrated expertise in databases for data extraction, transformation, and analysis. Prior experience in mentoring and supporting junior engineers. Desirable Background in robotics or autonomous systems. Experience with multi-modal deep learning models, transformers, visual learning models (vLMs) etc. Experience with classifying driving maneuvers and traffic interactions using machine learning methods. Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP). Expertise in PySpark/Apache Spark for handling large-scale data processing. Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range$167,000-$190,000 USD

McJ is looking for a highly motivated and detail-oriented Data Analyst with experience in dashboarding and Alteryx. The successful candidate will have the opportunity to create, maintain, and optimize dashboards and automating data workflows to provide actionable insights across various departments. This role will also contribute to data-driven decision-making, ensuring that reports and analyses are both accurate and impactful. The position reports into the Principal Data Scientist and collaborates closely with business stakeholders to support organizational goals. Responsibilities: Data Reporting & Dashboarding Design, create, and maintain interactive dashboards using tools such as Tableau, Power BI, or similar platforms to visualize key metrics and business performance. Deliver accurate and timely reports, including visual data insights and ad hoc analysis as required by business units. Collaborate with stakeholders to understand their needs and customize reports and dashboards to meet these requirements. Automate data extraction and transformation processes using Alteryx to improve data workflows and reporting efficiency. Data Analysis & Insights Analyze complex data sets to identify trends, opportunities, and areas for improvement. Provide actionable insights to various departments to support business decisions and optimize operational performance. Assist in preparing financial, operational, and performance reports for leadership teams. Data Quality & Automation Ensure the integrity of data by performing quality checks and addressing discrepancies in datasets and dashboards. Leverage Alteryx for data transformation, automation of repetitive processes, and streamlining ETL workflows. Continuously improve data processes and workflows for greater efficiency and scalability. Collaboration & Communication Work closely with cross-functional teams including IT, marketing, finance, and operations to gather requirements and provide data-driven solutions. Assist teams in the use and understanding of data visualizations, ensuring they are equipped to leverage insights effectively. Forecasting & Reporting Assist in the creation of data-driven forecasts, tracking KPIs, and maintaining historical performance data. Prepare and present regular reports on data trends and forecasting accuracy to the management team. Ad Hoc Analysis Participate in ad-hoc data analysis projects to support business initiatives and strategic planning. Maintain flexibility to adapt to shifting priorities and evolving project requirements. Required Skills/Abilities: Strong proficiency in Alteryx Designer for data transformation, automation, and ETL processes. Proven experience in designing and maintaining dashboards using Tableau, Power BI, or similar tools. Proficiency in Excel and SQL for data analysis and reporting. Ability to analyze large datasets and provide actionable insights that influence business decisions. Strong attention to detail and accuracy, especially when handling large volumes of data. Excellent communication skills, both written and verbal, with the ability to present complex data to non-technical audiences. Ability to work in a fast-paced environment, manage multiple priorities, and meet deadlines. Strong problem-solving skills and ability to troubleshoot data issues and workflow inefficiencies. Self-motivated with a passion for continuous learning and improving data processes. Preferred Qualifications: Bachelor's degree in Statistics, Economics, Business, Computer Science, or a related field. Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, or Azure). Experience with Alteryx Server administration and orchestration. This is a remote position. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Sony Corporation of America, located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: **************** Position Summary Sony is seeking an Associate Data Scientist, Risk Analytics to join Sony's Corporate Information Security Division. This position will report to the Data Scientist II and be a part of the team responsible for designing, implementing, and maintaining a Global Information Security Risk Analytics platform used to provide information security risk intelligence to Senior Leadership and monitor the confidentiality, integrity, and availability of Sony assets. You'll work across the global information security team to understand the unique problems and constraints, then dig into the data-rich environment to find the pieces of the puzzle. You'll write scripts, build predictive analytics, automate processes, apply machine learning techniques, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions. Responsibilities: Collaborate with cross-functional teams to understand business objectives and contribute to framing data science problems Design and evaluate models to mathematically express and solve defined problems with limited precedent. Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Analyze large amounts of data/information to discover and articulate trends and patterns Build predictive models and machine-learning algorithms Develop conclusive insights using statistical methods. Contribute to data visualization and storytelling to present findings and recommendations to stakeholders Assist in translating analytical results into actionable recommendations Contribute to documentation and knowledge sharing across the team Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above Qualifications: 1-2 years of experience in data science, analytics, or a related field (internships or academic projects count) Bachelor's degree in Computer Science, Statistics, Data Analysis, Mathematics, or a related field Proficiency with relational database (SQL) and programming/scripting (Python or R) Solid applied statistics skills, such as distributions, statistical testing, regression, etc. Experience in machine learning, statistical modelling, and predictive analytics Experience in data wrangling, data visualization, and exploratory data analysis (EDA) Excellent problem-solving, analytical, and critical thinking skills Experience in information security or IT is preferred Experience with data engineering is preferred Experience with data visualization tools and dashboard development is preferred Motivated and self-directed In addition to competitive pay and benefits, we offer an environment and culture that promotes Diversity, Equity, and Inclusion. We are committed to creating an inclusive employee experience for you to thrive as part of Sony's purpose to “fill the world with emotion through the power of creativity and technology”. Benefits: SCA offers benefits-eligible employees (generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family's physical, emotional, and financial well-being. What we offer you: Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA) Employee assistance plan and comprehensive behavioral health benefits Fertility benefits, including surrogacy, and adoption assistance programs Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance Short-term & long-term disability plans Paid parental and caregiver leave 401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting Education assistance and student loan programs Other Programs: Flexible Work Arrangements, including remote and hybrid work schedules Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release), and a winter break between Christmas and New Year's Day (based on business needs) Referral bonuses (subject to eligibility) Matching gift program A wide variety of employee business resource groups (EBRGs) Special discounts on Sony products, offered exclusively to Sony employees Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions) Annual incentive bonus The anticipated annual base salary for this position is $85,000 to $105,000. In addition to the annual base salary, this role has an annual bonus target of 7%. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. #LI-SC1 All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: ***************** Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact ******************* before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home. As a leader in the home services software-as-a-service (“SaaS”) space, we've built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies. In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Data Scientist, Insurance Risk and Pricing Location: United States Workplace Type: Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Scientist, Insurance Risk and Pricing We are looking for a results-driven Data Scientist to join our high-impact team focused on transforming the insurance and home services industries. You will play a key role in leveraging Porch's unique property data to drive innovation, improve risk understanding, and optimize pricing strategies. This role is ideal for someone who thrives in a fast-paced, data-rich environment and is passionate about delivering measurable business value. What You Will Do As A Data Scientist, Insurance Risk and Pricing Model Development: Build and deploy advanced predictive models that support pricing, retention, and customer satisfaction initiatives. Data Exploration & Analysis: Conduct deep-dive analyses to uncover insights that inform strategic decisions across the business. Cross-Functional Collaboration: Work closely with product, engineering, and business teams to scope projects and integrate data science solutions into operational workflows. Innovation & Impact: Contribute to a culture of experimentation and continuous improvement, stay up to date on new technologies and innovation, identifying new opportunities to apply data science for competitive advantage. What You Will Bring As A Data Scientist, Insurance Risk and Pricing At least 5 years of experience in data science Proficiency in Python and R, and strong SQL skills. Experience building and deploying in high traffic environments Solid understanding of statistical modeling, machine learning, and data wrangling. Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, GCP). Strong communication skills and the ability to translate complex data into actionable insights. Preferred Experience in insurance pricing and risk quantification Exposure to experimentation frameworks and causal inference methods. Actuarial Certifications ACAS and/or FCAS The application window for this position is anticipated to close in 2 weeks (10 business days) from 10/23/2025 Please know this may change based on business and interviewing needs. At this time, Porch Group does not consider applicants from the following states or jurisdictions for Remote positions: Alaska, Delaware, Hawaii, Iowa, Maine, Mississippi, Montana, New Hampshire, West Virginia, or the District of Columbia. What You Will Get As A Porch Group Team Member Pay Range*: $138,800 - $194,300 *Please know your actual pay at Porch will reflect a number of factors among which are your work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location. Additionally, you will be eligible to receive long-term incentive awards, subject to program guidelines and approvals. Our benefits package will provide you with comprehensive coverage for your health, life, and financial wellbeing. Our traditional healthcare benefits include three (3) Medical plan options, two (2) Dental plan options, and a Vision plan from which to choose. Critical Illness, Hospital Indemnity and Accident plans are offered on a voluntary basis. We offer pre-tax savings options including a partially employer funded Health Savings Account and employee Flexible Savings Accounts including healthcare, dependent care, and transportation savings options. We provide company paid Basic Life and AD&D, Short and Long-Term Disability benefits. We also offer Voluntary Life and AD&D plans. Both traditional and Roth 401(k) plans are available with a discretionary employer match. Supportlinc is part of our employer paid wellbeing program and provides employees and their families access to on demand guided meditation and mindfulness exercises, mental health coaching, clinical care and online access to confidential resources including will preparation. LifeBalance is a free resource to employees and their families for year-round discounts on things like gym memberships, travel, appliances, movies, pet insurance and more. Our wellness programs include flexible paid vacation, company-paid holidays of typically nine per year, paid sick time, paid parental leave, identity theft program, travel assistance, and fitness and other discounts programs. #LI-NH1 What's next? Submit your application and our Porch Group Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have! Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work. Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances. Porch Group is an E-Verify employer. E-Verify is a web-based system that allows an employer to determine an employee's eligibility to work in the US using information reported on an employee's Form I-9. The E-Verify system confirms eligibility with both the Social Security Administration (SSA) and Department of Homeland Security (DHS). For more information, please go to the USCIS E-Verify website.

The Data Scientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. This role will work on building solutions that address real-world challenges. This role offers an exciting opportunity to apply knowledge of GenAI, machine learning, and healthcare-specific requirements while collaborating with a multidisciplinary team of experts. Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings. Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards. Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR. Stay updated with the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: Experience working with multiple GenAI models, including open-source. Experience with natural language processing (NLP) and computer vision techniques. Experience in data preprocessing and model deployment. Knowledge, Skills & Abilities: Knowledge of: Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). Knowledge of voice recognition and transcription technologies is a plus. Skill in: Strong programming skills in Python or similar languages. Strong problem-solving skills and a growth mindset. Ability to: Eagerness to learn and adapt in a fast-paced, mission-driven environment. The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Our client is seeking a Data Scientists to perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches. Key Responsibilities: May work with knowledge architects, informaticians and clinicians at client, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required. May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide consultative services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist. Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches. Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning. Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome. Leads the interpretation of data analysis and writing reports. Position Requirements: The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills. Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g., machine learning, statistical packages, modeling, etc.) required. Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Strong interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Strong time management skills are required. Requires strong analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills, and a commitment to customer service. Experience with data modeling and data exploration tools. Preferred Skill: Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance. Education Requirements: Bachelor's degree in relevant fields such as engineering, mathematics, computer science, or health science. Preferred education - PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field with three (3) years of experience. Additional Information: Fully Remote W2 Candidates Only Who We Are We are a software company that strives to build relationships through the delivery of software and solutions. Agile software development is at the heart of "how we work", which allows us to bring people together for strong collaboration and problem solving. What We Do We provide enterprise-level agile coaching and development services. The Da Vinci Agile Coaching model is built on four pillars that ensure successful adoption and scale across an organization. The enterprise framework we have built supports this foundation through recognition of, and integration with, legacy processes. We passionately believe "how we work" is the intangible our developers demonstrate for our clients every day. Our high-performing team members provide leadership and chemistry on your teams. We provide architects, developers and testers that enjoy accountability, team success and delivering meaningful products.