Analytical data miner work from home jobs - 1299 jobs

A leading analytics firm is seeking a Finance Associate to support analytical and operational finance work. This remote independent contractor role requires the review of financial datasets, assisting with model updates, and producing structured summaries. Ideal candidates will have strong analytical and spreadsheet skills and experience in finance or business operations. The position offers a flexible workflow with compensation of $45 to $90 per hour. #J-18808-Ljbffr

A leading healthcare AI company based in Chicago is seeking a Machine Learning Engineer/Data Scientist to develop AI solutions that improve patient care. You will design and optimize machine learning models, collaborate with diverse teams, and stay updated on industry innovations. Ideal candidates possess a strong background in machine learning, proficiency in programming languages like Python, and experience with cloud platforms. Join us for a competitive salary and opportunities for personal development and equity participation. #J-18808-Ljbffr

A leading healthcare provider in Hawaii seeks an Actuary Analytics/Forecasting professional. The role involves analyzing and forecasting financial data to support strategic decisions. Ideal candidates will hold relevant degrees and possess strong communication skills with experience in modeling and pricing. This remote position offers a competitive salary range between $129,300 and $177,800, along with comprehensive benefits and a bonus incentive plan. #J-18808-Ljbffr

The Data Engineer will be a key builder on our AI journey, responsible for designing, constructing, and maintaining the data infrastructure required to support our AI initiatives. This role will focus on building robust and scalable data pipelines to extract data from a variety of sources, integrate it with our data lake/warehouse, and prepare it for analysis by our Data Analysts and training custom AI models. This position is critical for enabling our focus on vendor-provided capabilities and eventually building custom solutions. Key Responsibilities: Design, build, and maintain scalable and efficient ETL/ELT data pipelines to ingest data from internal and external sources (e.g., APIs from EPIC, Workday, relational databases, flat files) and data warehouse to ensure data is clean, accessible, and ready for analysis and model training. * Collaborate with the Data Analyst(s) and other stakeholders to understand their data requirements and provide them with clean, well-structured datasets. * Implement data governance, security, and quality controls to ensure data integrity and compliance. * Automate data ingestion, transformation, and validation processes. * Work with our broader IT team to ensure seamless integration of data infrastructure with existing systems. * Contribute to the evaluation and implementation of new data technologies and tools. Required Skills & Qualifications: * ETL/ELT Development: Strong experience in designing and building data pipelines using ETL/ELT tools and frameworks. * SQL: Advanced proficiency in SQL for data manipulation, transformation, and optimization. * Programming: Strong programming skills in Python (or a similar language) for scripting, automation, and data processing. * Data Warehousing: Experience with data warehousing concepts and technologies. * EPIC EMR: Experience with EPIC Health System's databases (Chronicles, Clarity, or Caboodle) and ability to extract data and built ETL pipelines * Informatica: Hands-on experience with Informatica ETL toolkit (IICS preferred) * Problem-Solving: Proven ability to troubleshoot and resolve data pipeline issues. * Data Modeling: Experience with various data modeling techniques (e.g., dimensional modeling). * Real-time Processing: Familiarity with real-time data streaming technologies (e.g., Kafka, Azure Event Hubs). * Education: Bachelor's degree in Computer Science, Engineering, or related field. Nice-to-Have Skills: * API Integration: Experience building data connectors and integrating with APIs from major enterprise systems (e.g., EPIC, Workday). * Cloud Computing: Hands-on experience with at least one major cloud platform's data services (e.g., Microsoft Azure Data Factory, Azure Fabric, IICS). * Version Control: Proficiency with Git for code management and collaboration. * CI/CD: Knowledge of Continuous Integration/Continuous Deployment practices for data pipelines. * AI/ML MLOps: A basic understanding of the machine learning lifecycle and how to build data pipelines to support model training and deployment. * Experience with Microsoft Fabric: Direct experience with Microsoft Fabric's integrated data platform (OneLake, Data Factory, Synapse Data Engineering *Job Type & Location* This is a Contract position based out of Columbus, OH. *Pay and Benefits*The pay range for this position is $70.00 - $90.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) *Workplace Type*This is a fully remote position. *Application Deadline*This position is anticipated to close on Jan 21, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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.

Apply Job Type Full-time Description The Data Engineer II will play a vital role in our Data transformation journey - helping move the organization toward a future state where decision-makers have the right data, in real time, when they need it. This role is responsible for driving the execution of key data projects, including data management, data conversions, ongoing ingestion pipelines, and data platform engineering and operations. The ideal candidate will work across systems and teams to ensure data flows seamlessly, reliably, and securely throughout the enterprise, supporting both strategic initiatives and day-to-day operations. Duties and Responsibilities: Develop an understanding of our current data landscape Administer and optimize Snowflake and other data platforms to ensure performance and alignment with business goals including role/permission management performance tuning, cost optimization, and capacity planning. Manage operations of the Data Warehouse, Middleware/Azure Enterprise Service Bus (ESB), Cognos, and related analytics tools. Provide secondary support for Data Integration & Platform Engineering responsibilities, including assisting with system maintenance, data pipeline operations, and platform enhancements. Stay informed on emerging data technologies and trends, sharing insights to help identify opportunities for innovation and improved data use. Help implement scalable and efficient data solutions that improve business insights and operational performance. Collaborate with IT and business stakeholders to support data access, usability, and consistency across departments. Participate in the integration of new tools and systems, ensuring seamless functionality and data accuracy. Provide advanced support by resolving escalated issues from Data Engineer I, ensuring timely and effective resolution of complex technical challenges. Contribute to a collaborative, high-performing team culture by supporting peers and sharing knowledge. Enforce data governance policies, ensuring data is secure, consistent, and compliant with regulations. Support efforts to meet financial regulations and cybersecurity standards in all data-related systems. Administrator and/or deliver configuration requests in our Azure ESB environment to Banking Core System through APIs. Design and develop pipelines for additional data vendors Recommend, implement and maintain best practices for the environment Ability to illustrate and maintain the enterprise's data systems architecture Complies with all applicable banking laws and regulations, including, but not limited to the Bank Secrecy Act, USA Patriot Act, and related anti-money laundering statutes, and federal consumer protection legislation and regulations. Builds working knowledge of all applicable laws and regulations. Other duties as assigned The duties outlined above are a summary and may not be an exhaustive or comprehensive list of all possible responsibilities, tasks, and duties. All job descriptions may be amended at any time at the sole discretion of First Mutual Holding Company. Requirements Qualifications and Skills Required: 3+ years managing data / ETL development 3+ years hands on in analyzing, designing which involve Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data Normalization/Anonymizing & Data Loading 3 + years data analysis, Ad hoc reports, and visualization; Cognos, Tableau 3+ years data migration and validation projects 3+ years of Snowflake Management 3+ years implementation and support of on-prem and cloud DBs 3+ years' experience with system process mapping Prior work within the financial industry is preferred. Necessary competencies: Critical thinking Accountability Initiative Creativity Adaptable Communication Organizational Skills Resourcefulness Interpersonal Awareness Decisiveness Physical Environment: This position is performed in a corporate office (Lakewood, OH), hybrid, or remote setting: If fully remote: must be willing to travel This position will require the ability to work flexible days/times including occasionally working beyond normal business hours on an "as needed" basis. While performing the duties of this job, the employee is regularly required to lift, walk, stand, sit, bend, reach with hands and arms, climb, push/pull, use hands, and see, hear and speak. The employee must occasionally lift and/or move up to 25 pounds. The noise level in the work environment is usually quiet to moderate. First Mutual Holding Co. and First Federal Lakewood is an Equal Opportunity Employer. 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together. What's your next step? How will you leverage the study, training, certifications, and your energy to help develop solutions to transform the health care industry? As an Actuarial Consultant in our Actuarial Leadership Development Program at UnitedHealth Group, you can do just that. You'll lead complex actuarial projects that have strategic importance to our mission of helping people lead healthier lives and helping to make the health system work better for everyone. It's an opportunity to help rewrite the future of UnitedHealth Group as you participate in the development of business strategy. You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: Develop in-depth understanding of core actuarial concepts to develop rate reviews, medical plan pricing, competitive analyses, and more Identify and address data issues and outliers in results Communicate effectively to actuarial and non-actuarial audiences Independently anticipate and complete recurring work responsibilities in an accurate and timely fashion Support all regulatory reports, surveys, audits, and filings Provide timely and complete Peer Review services Maintain proper and sufficient documentation Build relationships within and across regional pricing teams and internal customers such as Products, Sales, Regulatory, and UW Take on opportunities to contribute to various projects and work groups to further Regional/National pricing focus areas Be self-aware, compassionate, and genuine in service to all team members Be inclusive, advance diversity; participate in collaborative, engaged, and high-performing teams Be courageous, empowering, and supportive so each person can achieve their goals Meet exam sitting and passing requirements as described in AEP/ALDP (if applicable) Meet CE requirements as outlined by AAA/SOA (if applicable) Other professional development (specific for individual) You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: Undergraduate Bachelor's degree On the Actuarial exam track, having passed 2 or more Actuarial exams 2+ years of actuarial experience Experience communicating technical information to non-technical audiences Intermediate or higher level of proficiency in MS Excel Preferred Qualifications: Experience with actuarial pricing Actuarial experience with small group ACA health insurance plans Intermediate or higher level of proficiency with SQL or similar programming language Proven good communication/presentation skills *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

All JerseySTEM roles are pro-bono (unpaid) positions. JerseySTEM is a mission-driven professional network of pro-bono contributors dedicated to improving access to STEM education and career pathways for underserved middle school girls in New Jersey. Members contribute their professional skills and leverage their networks in service of the organization's gender-equity agenda. Membership is a minimum six-month commitment of approximately six flexible hours per week and includes a $100 refundable deposit, returned after six months of active membership. K-12 educators, retirees, veterans, interns, and students are exempt from the deposit. Overview This is a pro-bono volunteer position. 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.

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

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.

CORT is seeking a remote, full-time Inventory Data Analyst in the US Eastern or Central timezone to join our shared services team. This role is designed for a true analyst-not a demand planner-who thrives on transforming complex inventory data into actionable insights through advanced analytics and compelling visualizations. You will leverage your expertise in statistical analysis, forecasting, and data storytelling to influence strategic decisions that optimize inventory performance and drive business outcomes. This position centers on inventory management within a retail or e-commerce environment. As an Inventory Data Analyst, you'll work closely with IT, Finance, and cross-functional teams in a matrix environment, building partnerships and communicating insights clearly to technical and non-technical stakeholders. If you are curious, detail-oriented, and passionate about using data to tell a story and challenge assumptions, we want to hear from you. Salary: $70,000-$85,000, commensurate with experience Work Arrangement: Remote, with minimal travel (less than 10%) Eligibility: Applicants must reside within the continental U.S. in the Eastern or Central timezones. Candidates must be authorized to work in the United States on a permanent basis. This position does not offer current or future visa sponsorship. What We Offer * Comprehensive health insurance (medical, dental, vision) available on the first of the month after your hire date * 401(k) retirement plan with company match * Paid vacation, sick days, and holidays * Company-paid disability and life insurance * Tuition reimbursement * Employee discounts and perks Responsibilities * Perform statistical analysis and predictive modeling to identify trends and optimize inventory strategies. * Collect, validate, and analyze large datasets to uncover actionable insights. * Design and maintain interactive dashboards and visual reports in Microsoft Power BI to communicate findings effectively. * Develop and maintain data models to track inventory KPIs and support forecasting and budgeting. * Collaborate with product development, merchandising, and marketing teams to align inventory strategies with customer demand. * Monitor product performance and recommend adjustments to improve inventory productivity and return on assets. * Identify opportunities for process automation and workflow optimization to enhance efficiency. * Communicate complex data findings clearly to non-technical audiences, using storytelling techniques to influence decisions. Qualifications * Bachelor's Degree in Business Analytics, Data Science, Statistics, or Mathematics required. * Preferred certifications: Microsoft Certified: Power BI Data Analyst; Certified Analytics Professional (CAP); APICS Certified in Planning and Inventory Management (CPIM); Certified Business Intelligence Professional (CBIP). * Professional experience in a similar-sized business, with a role as an Analyst in the retail or e-commerce industry required; 5-10 years of experience preferred. * Proficiency in Microsoft Power BI and advanced Excel (pivot tables, complex formulas, macros) required. * Experience with statistical methods, predictive analytics, and data modeling required. * Ability to translate complex data into clear, actionable insights for non-technical audiences and tell stories through data visualization. * Experience with predictive analytics, demand planning software selection and implementation, and SCRUM preferred. Highlighted Skills: * Data Visualization & Storytelling: Ability to create clear, impactful dashboards and reports that drive decision-making. * Statistical Analysis & Forecasting: Expertise in analyzing trends and predicting inventory needs. * Business Intelligence Tools: Advanced proficiency in Power BI and Excel. * Collaboration & Communication: Skilled at building partnerships and explaining complex data to diverse stakeholders. * Integrity & Curiosity: Committed to verifying data accuracy and challenging assumptions to ensure sound decisions. About CORT CORT, a part of Warren Buffett's Berkshire Hathaway, is the nation's leading provider of transition services, including furniture rental for home and office, event furnishings, destination services, apartment locating, touring and other services. With more than 100 offices, showrooms and clearance centers across the United States, operations in the United Kingdom and partners in more than 80 countries around the world, no other furniture rental company can match CORT's breadth of services. For more information on CORT, visit ********************* Working for CORT For more information on careers at CORT, visit ************************* CORT participates in the E-Verify program. EEO/AA Employer/Vets/Disability Applications will be accepted on an ongoing basis; there is no set deadline to apply to this position. When it is determined that new applications will no longer be accepted, due to the positions being filled or a high volume of applicants has been received, this job advertisement will be removed. For City of San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, CORT will consider for employment qualified applicants with arrest and conviction records. For City of Los Angeles applicants: CORT will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For County of Los Angeles applicants: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. For Columbia, South Carolina applicants: This position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. #LI-Remote

Why work with us? We are a woman-owned company that values your ideas, encourages your growth, and always has your back. When you work with us you'll have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay. Apply today! DATA ANALYST III Engagement Description: * Develop medium to highly complex logical database designs, logical data models and relational data definitions in support of corporate and customer information systems requirements * Work closely with customers, vendors, business analysts and application development project teams to resolve information flow and content issues * Work on enterprise-wide complex projects/issues/enhancements as a team member or lead QUALIFICATIONS: * Seven (7) years IT work experience with five (5) years in quality assurance and/or data management required * Expertise with data quality tools for data profiling, cleansing and standardization preferred * Experience in implementing solutions and processes for master data and hierarchy synchronizations preferred Skills/Experience: Minimum of 4 or more years' experience in the following: * Advanced SQL capabilities * Hands on experience with Python and Spark Preferable Skills/Experience: * Experience with health care data is preferred. * Experience in Linex environment * Strong analytical, organizational and problem-solving skills * Ability to work independently and in a team environment Education/Certifications: * Bachelor's degree in related field preferred We are an EOE, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. *************************************************

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. We are seeking to 2 (Associate) Data Analyst - Enterprise Solutions at Quartz, a provider-sponsored health plan dedicated to improving the health and well-being of our communities. The (Associate) 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 (Associate) Data Analyst - Enterprise Solutions will use the following skills: Source to target documentation Basic to Intermediate knowledge of SQL and analytical software Apply data warehousing principles to load 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 for Associate Data Analyst level: $60,100 - $75,200 plus total rewards package. Starting salary range based upon skills and experience Data Analyst level: $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 Associate-level Education Qualifications: Bachelor's degree with 0+ years of relevant work experience OR associate degree with 2+ years of relevant work experience OR high school equivalency with 5+ years of relevant 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.) Basic to Intermediate knowledge of SQL, analytical software, query tools Basic to 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 We can recommend jobs specifically for you! Click here to get started.

Welcome to Perennial. Perennial is building the world's leading verification platform for soil-based carbon removal. Our vision is to unlock soil as one of the world's largest carbon sinks. To do that, we are building trusted standards, tools, and technologies to help verify climate-smart agriculture. Perennial uses advanced remote measurement technology for soil carbon sequestration and emissions. We fuse machine learning, ground observations, and satellite data to map soil carbon and land-based GHG emissions at continent-level scales. This technology is powering the future of climate-smart agriculture and helping the food supply chain decarbonize. At Perennial, you will work in a mission-driven and collaborative environment alongside a diverse team with backgrounds spanning science, technology, carbon markets, and agriculture. Our headquarters is located in Boulder, CO USA. We are a fully-flexible company for remote and hybrid work. We're venture-backed by mission-aligned investors including Temasek, Bloomberg, Microsoft Climate Innovation Fund, SineWave Ventures, Alumni Ventures Group, and Collaborative Fund.Position Overview As a Data Scientist, you will be responsible for algorithm and methodology development for an innovative company using machine learning and remote sensing data to quantify the benefits of regenerative agriculture at scale. The Perennial team is advancing the field of digital soil mapping (DSM) through impactful applied research, peer-reviewed science, and methodology development to bring DSM into the voluntary carbon markets (see our work with Verra). You will help us quantify changes in soil organic carbon stocks in agricultural soils, deliver reliable results for our customers, and partner with our applied scientists and engineers to continually improve our models and processes that support a variety of carbon offset and Scope 3 projects. What You'll Own Build, improve, and deploy machine learning models for predicting soil carbon stock with remotely-sensed covariate data and limited training data End-to-end deliveries for our customers: train models, run predictions, and ensure quality results are delivered in customer reports Work with other data scientists, engineers, and policy experts to ensure that our data and methods comply with various standards and methodology requirements specific to a given project Characterize the accuracy and uncertainty of model predictions and demonstrate the dependence of performance metrics on the surrounding context and parameters of carbon projects Execute efficiently throughout full development cycle, from performing exploratory data analysis and initial R&D to rapid prototyping and hardening models for production Communicate your research internally and externally through detailed documentation, conference presentations, and peer-reviewed publications What You'll Bring Master's degree or Ph.D. in statistics, math, computer science, remote sensing, AI/ML, ecosystem science, soil science, geography, or a related STEM field 3-6 years of industry or research experience in data science, applied ML, geospatial analysis, or related fields Strong proficiency in Python for data science (e.g. pandas, scikit-learn, xarray, numpy) Experience building machine learning, statistical, or time series models informed by remotely-sensed data or large spatial datasets Good communication and collaboration skills with functional and cross-functional teams Ability to independently manage a project and deliver results What Will Make You Stand Out Experience working in the soil carbon MRV space and familiarity with relevant methodologies and tools (e.g. VM0042, VM0032, VMD0053) Expertise in the open source geospatial python stack. Basic raster and vector operations, e.g. resampling, tiling, clipping, extracting, spatial statistics, harmonizing data Experience quantifying uncertainty of spatial maps, or more generally geostatistics or spatial stats, esp. with machine learning Experience working with Google Earth Engine and GCS Startup experience or a strong entrepreneurial mindset (generally private company experience) Why You'll Love Working Here We live by our Core Values. Speak your truths, welcome new voices. Celebrate your successes, own your mistakes. Solve important problems. Invest in each other. Build for the future .Get your hands dirty! We challenge the status quo. We're a group of people who want to create the changes we hope to see in the world. See some of our recent press about the problems we're committed to solving. We invest in your life. We want to provide you with resources to meet your needs both in and outside of work. We offer generous PTO, health, vision, dental, 401k, and HSA benefits and a fully stocked kitchen to keep your mind sharp throughout the day. We want you to grow. We are a team that supports each others' professional and intellectual growth. You'll have access to regular opportunities to learn from teammates and invest in your professional development. We offer competitive compensation packages. Our team is our most valuable asset. We want everyone who works for us to feel fairly compensated for the impact they bring to our mission. The team member in this role can expect a starting salary in the range of USD $120,000-$145,000 (commensurate with experience and location), along with equity in the company. Perennial is an equal opportunity employer. We celebrate and embrace diversity and are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.

You will be a strategic partner to product, engineering, and trust and safety teams, responsible for defining evaluation frameworks, leading experiments (A/B, quasi-experiments, etc.), and turning offline and live model performance into product improvements. This role requires a strong track record in startup-style experimentation (moving quickly with scrappy but rigorous methods) and product experimentation at scale. The ideal candidate will also bring proven experience in leading and managing teams to deliver high-impact data science work. 100% remote Salary Range $120,000 - $260,000 Essential Job Functions ● Lead end-to-end experimentation: hypothesis generation, metric design, experiment design (A/B, multivariate, sequential, etc.), analysis, and interpretation. ● Build and maintain evaluation frameworks for LLMs: correctness, consistency, safety, hallucination detection, bias/fairness, etc. ● Develop predictive models, classification/ranking systems, and heuristics to improve product features related to AI/language generation. ● Collaborate with prompt engineers & model builders to test prompt strategies, fine-tuning, or model selection; work on failure modes/error analysis. ● Automate experiment pipelines: dashboards, monitoring, alerting, instrumentation. Ensure data quality & measurement integrity. ● Use causal inference / observational studies when randomized experiments are not feasible. ● Present findings and recommendations to both technical and non-technical leadership; influence roadmap decisions. ● Drive experimentation in startup-like environments: rapid iteration, learning from limited data, and balancing speed with rigor. ● Shape large-scale product experimentation: define frameworks for experimentation at scale and integrate results into product strategy. ● Lead and mentor teams of data scientists, analysts, and engineers; set best practices for experiment design and AI product evaluation. Requirements ~8-12+ years of experience in data science / ML roles, ideally with experiment design/product analytics. Proven track record in both startup-style and large-scale product experimentation. Experience leading teams, setting strategy, and driving execution in cross-functional environments. Strong background with statistical methods, causal inference, and rigorous measurement. Experience using LLMs / NLP / AI / prompt engineering or a closely related field. Excellent coding skills in Python (or similar), strong SQL, experience building and deploying models or analytic pipelines. Ability to work in cross-functional teams, translate technical results into business or product changes. Strong communication skills; ability to explain complex analyses to non-technical stakeholders. Preferred Qualifications Experience fine-tuning or working with multiple LLM providers / APIs. Experience with experiment platforms or building internal tooling for experimentation & model evaluation. Experience in voice / ASR or other multi-modal data. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Flexible Paid Time Off Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Stock Option Plan

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. 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 contextualizing 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 ML models 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 Success in this role typically requires the following competencies: 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 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. 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$200,591-$294,000 USD

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.