Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

The Senior Data Product Manager owns the end-to-end lifecycle of data products that enable analytics, interoperability, and business insights across the enterprise. This role sits at the intersection of data strategy, product management, and technology, driving adoption of modern data platforms and ensuring data products deliver measurable business value at scale. The Senior Data Product Manager balances strategic foresight with executional rigor, identifying emerging opportunities, shaping long-term roadmaps and ensuring delivery of data and analytics solutions that advance business goals and improve customer outcomes. Salary range: $116,644-151,637 plus 10% bonus At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. Benefits Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it. Benefits include: -PTO, holiday pay and holiday of choice -401(k) match -Life insurance -Short-term disability -Health, dental and vision insurance -Maternity/paternity leave -Health savings account (HSA) -Flex spending accounts (FSA) – health and dependent Position Responsibilities may include, but not limited to With the VP, Data & Analytics, define and communicate the vision for data products aligned with business value; maintain and evolve a multi-year roadmap ensuring alignment with company goals, market opportunities and user needs Develop, maintain and ensure alignment for a product roadmap for data platform and analytics capabilities Prioritize features based on ROI, user needs, and technical feasibility Conduct user research, validate assumptions, and translate insights into actionable product requirements Drive discovery & user research: uncover unmet needs, validate assumptions, and embed insights into data product direction Own the research to delivery loop: Translate insights into initiatives, define clear success metrics, and ensure delivery teams build features that address validated needs Scalability: Drive platform strategy, ensuring solutions are scalable, configurable, secure, and compliant Adoption and optimization: Build upon our modern tech stack, leveraging Azure Data Lake, Databricks, and dbt for scalable data processing and transformation Partner on integration strategies leveraging MuleSoft for real-time and batch data flows Ensure seamless interoperability between data products and BI tools like Power BI Stay ahead of industry shifts: Track SaaS, healthcare tech, and regulatory trends, incorporating insights into forward-looking data product planning Collaborate with engineering and analytics teams to translate requirements into technical specifications Manage backlog, sprints, and release cycles in Agile environments; ensure timely delivery of features that meet quality and compliance standards Lead cross-functional delivery: Partner closely with engineering, design, operations, compliance, and go-to-market teams to ensure aligned execution Partner with governance teams to enforce lineage, cataloging, and security standards; ensure HIPAA/GDPR compliance Enable experimentation & growth: Design and oversee A/B tests, pilots, and phased rollouts to evaluate product impact and accelerate learning Focus on adoption & retention: Monitor product utilization, user retention and other product performance measures such as user satisfaction or operational efficiency, and iterate based on analytics and user feedback Act as the voice of the customer, gathering requirements and validating solutions Manage complex trade-offs: Drive stakeholder alignment on sequencing, prioritization, and resourcing in a way that balances short-term delivery and long-term vision Mentor & coach: Provide guidance and development opportunities for product owners, business analysts, and other team members Communicate product updates and insights to executives and cross-functional teams Required Skills and Experience Bachelor’s degree in Computer Science, Data Science, or related field 7+ years in product management or product management certification, with at least 3 years focused on driving data products from strategy through adoption Experience in healthcare or adjacent regulated industries and healthcare data and analytics products Cloud Data Platforms: Azure Data Lake, Azure Synapse, Databricks, dbt Data Integration: MuleSoft, APIs, batch/real-time flows BI Tools and data visualization best practices: Power BI, dashboard design, KPI frameworks Familiarity with SQL, Python, and data modeling concepts Strong analytical skills; ability to interpret data to inform decisions Proven ability to define product vision, create roadmaps, and manage lifecycle Proven ability to drive adoption, retention and measurable user value Experience in Agile methodologies (Scrum/Kanban), backlog management and sprint planning Excellent communication, alignment and influence skills across all levels of the organization Strong strategic, analytical and decision-making skills; ability to balance short-term delivery and long-term vision Strong business acumen, with experience making ROI-driven prioritization decisions Systems thinker who can zoom-in on details while keeping a strategic perspective Curiosity, adaptability and ability to thrive in a fast-paced environment Leadership and mentoring of junior data product managers or analysts Preferred Skills and Experience Advanced degree in a quantitative or business discipline Certifications in Azure, Databricks, or Power BI Familiarity with Microsoft Fabric and emerging data technologies Experience implementing Unity Catalog, Purview, or similar governance tools Exposure to AI/ML productization and advanced analytics Knowledge of data governance frameworks and regulatory compliance Familiarity with CI/CD pipelines and DevOps practices for data products Background in healthcare operations and delivery Physical Requirements Repetitive motions that include the wrists, hands and/or fingers Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

Our Mission and Vision Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed. We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change. We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development. About Our Team We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits: Unlearners are ambitious ; we aren’t intimidated by big, challenging goals. Unlearners are disciplined experimenters ; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. Unlearners are gritty ; we never give up, setbacks just make us try harder. Unlearners are receptive to new ideas ; in fact, we hate being stuck with the status quo Unlearners are storytellers ; sharing information with each other and with the world is super important, too important to be boring. And, last but not least, Unlearners are team-oriented ; we put the mission first, the company second, the team third, and individuals last. Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024. If our purpose and culture resonate with you, we invite you to apply. Clinical Data Scientist. Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications. The role spans multiple disease areas and data sources, requiring strong software practices, careful data curation, and the ability to quickly develop clinical domain expertise. In addition to internal development, Clinical Data Scientists often work in forward-deployed settings, partnering directly with clients to ensure Unlearn’s solutions are appropriately tailored to real-world study designs. Responsibilities include: Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets. Analyze longitudinal clinical datasets, developing a strong understanding of outcome measures, biomarkers, and other variables commonly used in clinical research across multiple disease areas. Collaborate closely with cross-functional teams of data scientists, machine learning scientists, engineers, and clinicians to design, build, and maintain robust data products grounded in sound data organization, domain knowledge, and careful analysis. Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators, including in forward-deployed, client-facing settings. Minimum requirements: BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline. 2+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis. Experience working with complex or nuanced datasets. Fluency in Python and its essential data science tools (numpy, pandas). Demonstrated experience in collaborative software development. Experience with clinical datasets in applied machine learning applications. Experience working in multidisciplinary teams that include scientists, engineers, and product management. Bonus points for: Prior experience in forward-deployed, client-facing settings. Experience in clinical/healthcare data. Benefits & Perks The following benefits and perks are for full time roles only. Generous equity participation 100% company-covered medical, dental, & vision insurance plans 401k plan with matching Flexible PTO plus company holidays Annual company-wide break December 24 through January 1 Commuter benefits Paid Parental Leave Unlearn is an equal opportunity employer. At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.

Description We’re seeking a reliable, safety-conscious, and tech-savvy Field Data Collection Driver to support a high-precision mapping initiative for our client’s digital mapping project . In this role, you will operate a company-provided vehicle equipped with a specialized 360-degree camera system to capture street-level imagery. This imagery is used to support global geospatial technology platforms and mapping services, which will power maps and navigation products worldwide. No mapping experience required – Training and technical support will be provided. Key Responsibilities Operate a vehicle equipped with camera systems to capture 360-degree imagery. Follow pre-defined driving routes provided daily. Upload collected data from onboard devices after each shift. Conduct regular equipment checks to ensure smooth operation. Communicate with the technical support team regarding issues or updates. Maintain a professional and courteous presence while representing the program in public areas. Who You Are You are a responsible, tech-comfortable driver who enjoys working independently. You follow rules carefully, keep your vehicle in good condition, and care about safety. Additional Details All equipment, vehicles, and training are provided. Candidates must pass a background check, comply with routine safety screenings, and complete onboarding training. Schedule: Full-time, Monday to Friday, with some flexibility depending on weather and route completion Willing to drive up to 8 hours/day on public roads, occasionally covering long distances. Access to secure parking (preferably with CCTV) for the company vehicle is preferred — assistance may be provided for qualifying candidates. Requirements Valid driver's license with at least 3 years of driving experience (5+ preferred). Good driving record with no major violations in the past 3 years. Strong attention to detail and comfort using mobile apps or in-vehicle technology. Ability to lift up to 25 lb (10-15kg) occasionally and perform basic physical tasks related to equipment setup Reliable, self-motivated, and able to work independently for extended hours. Preferred Qualifications Previous experience in field data collection, delivery driving, or GIS-related roles. Familiarity with geospatial tools or interest in mapping technologies. Benefits Competitive pay and full reimbursement for fuel, tolls, and travel expenses Experience working with cutting-edge camera, mapping technologies, and to be part of a globally recognized tech-driven project

We are looking for AI Data Specialists to support the improvement of AI-generated content in English . Job Type: Freelance Location: Wisconsin, work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work when available Start Date: Immediately Duration: TBC Rate: 15 USD/hour Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - English Proficiency : Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (Preferred) : Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents #LI-PR15 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. About the role: We’re looking for an applied data scientist with strong engineering instincts, deep analytical thinking and excellent technical execution. You’ll develop evaluation frameworks, design and automate red-teaming strategies, own quality metrics, and run adversarial testing initiatives to support short-term sprints and long-term initiatives aligned with AI safety goals. You’ll also coordinate with red-teamers, ML engineers, and infrastructure teams to ensure end-to-end product readiness and robustness. In this role, you will: Design the technical implementation of a robust red teaming project. Lead adversarial testing efforts (e.g., red teaming, evasion probes, jailbreak simulation) and analysis efforts. Work with researchers and domain experts to define labeling schemas and edge-case tests. Partner with ML and infrastructure engineers to ensure production readiness, observability, and performance targets. Communicate technical strategy and tradeoffs clearly across internal and client teams. Automate red teaming, including developing automated workflows for prompt generation, model evaluation, and execution of AI experiments; fine-tune LLMs or classification systems. Brainstorm novel research approaches to both known and emerging problems involving AI, data, and the internet. We’re looking for someone who: Has 3-5 years of experience in applied data science, ML product work, or security-focused AI, including technical leadership or staff-level ownership. Has designed and evaluated real-world ML systems with a focus on model behavior, error analysis, and continuous improvement. Can design red teaming workflows to surface model blind spots and failure modes. Operates effectively across ML, infra, and policy / strategy contexts. Thinks like a builder, analyst, and communicator all in one. Requirements: Degree (or equivalent work experience) in Data Science, Information Science, Computer Science with ML focus, or a related field (graduate degree preferred). Background in data science, applied ML, or ML engineering, with proven experience in production-grade systems. Strong analytical toolkit (Python, SQL, Jupyter, scikit-learn, Pandas, etc.) and familiarity with modern ML tooling (e.g., PyTorch, Hugging Face, LangChain). Experience working with LLMs and embedding-based classification systems. Excellent communication skills across strategy and technical domains. Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams. Nice to have experience with: Safety evaluation, red teaming, or adversarial content testing in LLMs. Trust & safety or risk-focused classification systems. Annotation ops, feedback loops, or evaluation pipeline design. Experience with open-source model evaluation tools (Promptfoo, DeepEval, etc.). Compensation & Benefits: Salary Range: $105K–$125K, depending on experience and location. Bonus: Performance-based annual bonus. Professional Development: Support for conferences, continuing education, or leadership training. Work Environment: Fully remote, U.S.-based. Health Benefits: Comprehensive health, dental, and vision coverage. Time Off: Generous PTO and paid holiday schedule. Retirement: 401(k) plan.

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. Manager, Strategic Finance and FP&A - Advanced Data Analytics RSM US is seeking an Advanced Data Analytics Manager to join our Strategic Finance and FP&A team. We advise clients on transactions, strategic planning, financial planning and analysis (FP&A), and capital structure optimization across various stages of a company’s lifecycle through in-depth consulting and financial modeling. The ideal candidate has 5–8+ years of experience in high-growth, fast-paced environments and brings a blend of financial acumen and advanced data and analytics skills . Experience in client-facing roles within consulting, public accounting, private equity, venture capital, or investment banking is preferred. This role is ideal for someone who thrives in building scalable analytics solutions from the ground up. Responsibilities Build, optimize, and automate data models, data warehouses, and ETL processes to enhance accuracy, speed, and scalability of management reporting tools, budgeting and forecasting models, and KPI dashboards. Translate raw data into actionable insights for forecasting, budgeting, scenario planning, and performance tracking. Ensure strong data governance and compliance with quality standards while promoting analytics best practices. Identify and implement efficiencies in financial reporting and analytics workflows. Present insights clearly to clients, influencing strategic decisions with data-driven narratives. Lead analytics projects from design to implementation, ensuring timely delivery and high quality. Develop robust data architectures to support efficient storage, retrieval, and business intelligence reporting. Enhance reporting processes and data visualization through innovative solutions that drive actionable insights. Oversee the development and maintenance of scalable, reliable BI systems aligned with evolving business needs. Qualifications Bachelor’s degree in Finance, Economics, Statistics, Engineering, Data Science, Computer Science, or a related field (Master’s a plus). 5-8+ years of experience in FP&A, strategic finance, business intelligence, or analytics, with a proven ability to turn data into strategic insights. Advanced proficiency in tools such as Power BI, Power Query, Excel, Alteryx, and Tableau (SQL, Python, and R experience a plus). Experience with cloud data platforms (e.g., Databricks, Snowflake). Strong analytical skills and ability to solve complex business problems in a financial context. Excellent communication and client presentation skills; collaborative team player. Entrepreneurial mindset with the ability to manage multiple priorities in a dynamic environment. Ability to balance strategic thinking with hands-on execution and attention to detail. Skilled at interpreting business requirements and translating them into analytical solutions. Demonstrated eagerness to learn new technologies and continuously improve problem-solving capabilities. Ownership of the full analytics engineering lifecycle—from data ingestion and transformation to surfacing insights in BI tools and advanced models. At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits . All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com . RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate. RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information. At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Compensation Range: $88,900 - $168,300 Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.

At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture. We are seeking a Semantic Data Engineer to join our Data and AI Platform team, bringing deep expertise in semantic technologies, linked data, and metadata management to help design and build intelligent data platforms that unlock the full value of our organization's information assets. In this role, you will combine strong data engineering fundamentals with specialized knowledge of semantic modeling and data interoperability to create robust, scalable solutions that enable rich data discovery, automated reasoning, and seamless integration across diverse data sources. You will work collaboratively with data scientists, platform engineers, and domain experts to evaluate, architect, and implement the most appropriate semantic solutions while ensuring they integrate seamlessly with our broader data and AI infrastructure. The ideal candidate is a pragmatic technologist who can translate complex business requirements into elegant semantic data models and has hands-on experience building production-ready systems that make data more findable, accessible, and reusable across the enterprise. How you will contribute to revolutionizing electric aviation: Design and build scalable data platform capabilities that empower domain teams through extensible frameworks and standards, enabling them to manage their data assets within a cohesive semantic architecture spanning the enterprise Implement robust data integration solutions and unified namespace patterns that create a digital thread connecting real-time and historical information across the entire product lifecycle—from design through manufacturing to field operations Build optimized data storage architectures and metadata management systems including data lakes, warehouses, knowledge graphs, and enterprise catalogs that make all organizational knowledge discoverable and actionable Develop semantic layers and ontologies that capture domain expertise and business logic, making implicit organizational knowledge explicit and machine-readable in formats that both humans and AI systems can leverage, while preserving traceability across the product lifecycle Create unified data access services that expose the digital thread to stakeholders across the organization, breaking down silos between engineering, manufacturing, operations, and business teams Implement data quality frameworks and lineage solutions that ensure accuracy across diverse data types while illuminating information flow through complex systems—essential for aerospace compliance, continuous improvement, and establishing the trusted data foundation required for advanced analytics and AI Partner with cross-functional teams to strengthen the digital thread through DataOps practices and champion data governance standards that keep our diverse data assets trusted, accessible, and valuable Actively contribute to a collaborative team environment through code reviews, knowledge sharing, and constructive feedback that continuously improves our data solutions and maintains high engineering standards Minimum Qualifications: Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field (or equivalent practical experience) 3+ years of professional experience in data engineering or related field Hands-on experience with semantic technologies, knowledge graphs, or linked data systems Experience designing and implementing ontologies, taxonomies, or semantic data models Proficiency with modern data engineering tools and languages (e.g., Python, SQL) Experience with graph databases (e.g., Neo4j, Amazon Neptune, Stardog) and/or triple stores Strong understanding of data integration patterns and API design Excellent communication skills with ability to translate technical concepts for diverse audiences Experience with cloud platforms (preferably AWS) Experience with DataOps practices and modern data platform architectures (cloud and hybrid) Understanding of DevOps practices including CI/CD, version control (Git), and infrastructure as code Ability to work collaboratively in a fast-paced environment Exceptional troubleshooting skills with the ability to spot issues before they become problems Above and Beyond Qualifications: Advanced degree in Computer Science or related field 5+ years of experience specifically working with semantic technologies in production environments Expert-level knowledge of semantic web standards (RDF, OWL, SPARQL, SHACL) Experience building and scaling knowledge graphs in enterprise settings Proficiency with additional programming languages (e.g., Scala, Java) and distributed computing frameworks (Spark, Flink) Hands-on experience with metadata management platforms and enterprise data catalogs Track record of implementing data lineage and data quality solutions at scale Experience working in regulated industries or with complex data governance frameworks Familiarity with aerospace/manufacturing data standards Knowledge of IoT protocols and time-series data management Publications, presentations, or open-source contributions in semantic technologies Familiarity with aviation regulations and standards (DO-178, DO-254, DO-330 etc.) as they relate to data systems The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process. Build electric airplanes with us! We encourage all driven candidates to apply, even if they do not meet every listed qualification. We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace. Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns. The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking, a solid grasp of machine learning principles, and the ability to apply core methodologies such as predictive modeling, econometric analysis, and time series forecasting. This position requires a collaborative mindset to work cross-functionally, ensuring the seamless integration of analytical insights into Lightcast's products and services. Major Responsibilities: Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets. Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics. Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends. Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow. Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences. Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies. Education and Experience: Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field. 2+ years of industry experience or academic research applying statistical or machine learning approaches to real-world data problems. 2+ years of experience in labor market analytics, workforce intelligence, or related domains (preferred). Proficiency in Python, SQL, and machine learning libraries such as Scikit-learn or PyTorch. Demonstrated ability to write clean, scalable code and independently prototype data solutions. Solid understanding of machine learning techniques such as classification, regression, and time-series forecasting. Experience with cloud platforms (e.g., AWS) and orchestration tools like Apache Airflow for managing large datasets and workflows. Strong statistical reasoning and ability to translate complex data into strategic business insights. Excellent interpersonal, written, and verbal communication skills, with the ability to convey technical topics to diverse audiences. Experience working with large labor market datasets (e.g., government labor statistics, survey data, or job market intelligence platforms) (preferred). Proficiency with data visualization tools such as Tableau, Power BI, or Plotly (preferred). Familiarity with Natural Language Processing (NLP) techniques and applications (preferred). Lightcast is a global leader in labor market insights with offices in Moscow, ID (US), the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace. We consider all qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to our diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

About Clear Street: Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets. We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients. By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets. The Team: The FACT team is responsible for several key data products which enable Clear Street’s systems and personnel to operate with confidence and speed. These products include security and pricing master, corporate actions, and streaming market data as well as a number of other key reference datasets. The FACT team takes on the task of collecting inputs from various sources including vendors, public sources, and internal teams and organizing them into cohesive data products which serve as the authoritative source of reference data within the firm. FACT Team Stack: C++, Rust, Go, Java, Python, gRPC, PostgreSQL, Snowflake, Kafka, Kubernetes The Role: We are looking for a skilled and experienced Software Engineer to join our team, building high-performance real-time data pipelines to process financial market data, including security prices for various asset classes such as equities, options, futures, and more. You will play a key role in designing, developing, and optimizing data pipelines that handle large volumes of data with low latency and high throughput, ensuring that our systems can process and deliver market data in real time. As a Software Engineer in the FACT team, you will work closely with high-impact teams to design and implement cutting-edge solutions that support our trading, analytics, and financial data products. You will play a key role in the design and implementation of key components that support Clear Street’s continued expansion into global markets. The ideal candidate will have a strong background in building low-latency, high-throughput systems, as well as a deep understanding of financial market data structures and processes. Knowledge or direct experience working with market data feed handlers from exchanges is a significant advantage. Responsibilities: Design, develop, and maintain real-time data pipelines to handle financial market data with low latency and high throughput in a resilient manner. Work with various asset classes such as equities, options, futures, and other financial instruments to ensure timely and accurate data processing. Collaborate with product, trading, and risk teams to understand requirements and deliver high-quality solutions that meet business needs. Develop efficient mechanisms for integrating market data feeds from exchanges and other sources into our systems. Troubleshoot and resolve performance issues, data discrepancies, and ensure data integrity across the pipeline. Continuously monitor the performance and health of data pipelines, identifying and mitigating potential issues before they impact system performance. Requirements: You have at least 8+ years of professional experience implementing low-latency, high-throughput data pipelines Solid understanding of distributed systems and the challenges involved in real-time data pipelines (e.g., data consistency, fault tolerance, scalability). Familiarity with financial market data, including security prices, and asset classes like equities, options, futures, etc... Strong familiarity with Linux/BSD Familiarity with TCP/IP and UDP (Unicast/Multicast) networking You communicate technical ideas with ease and always look to collaborate to deliver high quality products. You are a team player, with experience working effectively with other engineers toward common goals Nice To Haves: Experience with system profiling with eBPF Experience with columnar storage and database systems Kernel bypass networking (DPDK or XDP) Provisioning and configuration of routing in the cloud or on-premise, including BGP, VPCs, network peering Experience with Aeron We Offer: The Base Salary Range for this role is $200,000 - 250,000. This range is representative of the starting base salaries for this role at Clear Street. Where a candidate falls in this range will be based on job related factors such as relevant experience, skills, and location. This range represents Base Salary only, which is just one element of Clear Street's total compensation. The range stated does not include other factors of total compensation such as bonuses or equity. At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. Our belief has always been that we are better as a business when we are all together in person. As such, we are requiring employees to be in the office 4 days per week. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views. Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer.. #LI-Hybrid

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines. Responsibilities The Data Automation team builds tooling that helps our Data Platform engineers provision and test infrastructure to power core Klaviyo functionality and generate data-driven insights. As an engineer on this team, you will be responsible for designing, building, and maintaining systems that help us operate our mission critical analytics infrastructure. You will work with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment. Team Tech Stack AWS Python Terraform Kubernetes Clickhouse DynamoDB MySQL Kafka Spark Flink Iceberg Airflow Required Skills Degree or equivalent experience in a software engineering discipline Proficient in using at least one modern programming language Able to communicate well Able to work with others on a team Able to learn continuously and adapt to a high growth environment Able to stick with and solve difficult problems You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. Preferred Skills Experience designing, building, and operating distributed systems in a cloud computing environment Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool Experience performance tuning and scaling systems Experience with OLTP and OLAP databases Experience with high volume data processing and storage systems Experience using Linux operating systems We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $120,000 — $180,000 USD Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process . For more information about how we process your personal data, see our Job Applicant Privacy Notice . Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. We’re looking for someone who thrives at the intersection of data science and product development, someone who pairs deep statistical rigor with product intuition, and can fluidly move between building complex models in R or Python and advising product leaders and executives on strategic decisions. You should be just as comfortable designing and validating a causal inference framework as you are communicating its implications to stakeholders across the company. Please note that this is a hybrid role that requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time. What You’ll Do: Partner with product and engineering teams to identify and evaluate high-impact product opportunities through rigorous experimentation, causal inference, and predictive modeling Lead the design, implementation, and analysis of experiments — including A/B tests and multivariate tests — ensuring sufficient power, correct statistical methods, and actionable recommendations Conduct statistical research projects to uncover patterns in customer behavior, evaluate product performance, and identify causal relationships — using methods such as Mixed Effects Models, Difference-in-Differences, clustering algorithms, and time series analysis to guide product strategy and decision-making. Define the right product and customer metrics to measure success, and build scalable, self-serve analytics tools and dashboards that enable product managers and cross-functional stakeholders to make data-informed decisions independently. Collaborate with data engineering to define and implement reliable data pipelines and DBT models that ensure clean, well-structured, and trustworthy data for downstream analysis and self-serve use. Communicate insights clearly and persuasively to cross-functional stakeholders, from product teams to executive leadership Who You Are You have 7+ years of experience in data science, product analytics, or applied statistics, preferably in a B2B SaaS or product-focused environment You hold a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering You are highly proficient in SQL and either Python or R, and comfortable using DBT for analytics engineering You have deep expertise in experimentation and statistical analyses. You bring strong business intuition and the ability to translate ambiguous questions into clear analytical plans You work with speed and focus, balancing analytical rigor with the urgency and iteration cadence of product development You are a compelling communicator who can frame complex statistical findings into product-relevant insights You thrive in cross-functional settings and are energized by using data to drive product decisions that improve customer outcomes Why You’ll Love This Role Influence the direction of a high-impact product area and help define how success is measured Work alongside a world-class data team where experimentation and modeling are first-class tools Join a company where data science is embedded in the product development lifecycle, not siloed as reporting support Be part of a culture that values intellectual rigor, collaborative problem-solving, and continuous learning We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $142,400 — $213,600 USD Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process . For more information about how we process your personal data, see our Job Applicant Privacy Notice . Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Our Mission & Values: At Drata, we help companies earn and keep the trust of their users, customers, partners, and prospects. We’re the proof layer that shows great companies deserve the trust they aim to build. We live our values every day. Built on Trust means consistency is everything. Act with Integrity by always doing the right thing. Being Customer-Obsessed keeps the people we serve at the center of our work. Competitive Fire drives us to push ourselves harder than anyone else. Diversity brings unique perspectives that lead to better solutions. Automation First ensures we save time and money by making efficiency a priority. Our Culture & Work Style 🚀 At Drata, we’re not just building software - we’re building a mindset. Everything we do springs from: Be a Driver (Owner‑Operator Mentality): Own your work. Improve relentlessly. Deliver results. Move at Drata Speed (Precision & Velocity): Fast decisions. Quick learning. Immediate impact. Stay Mission-Driven (Customer‑Obsessed): Challenge assumptions. Deliver value. Stay hungry. We pair that high-velocity culture with a thoughtful hybrid model because we believe flexibility and collaboration both matter. That’s why in the Bay we come together in-office Tuesday through Thursday our high‑impact collaboration days where teams align, strategize, and innovate. Mondays and Fridays are flexible, giving you space for focused work, balance, and autonomy. If you thrive when you’re empowered, energized, and working with smart, mission-driven people where you’ll feel at home here. Why Join The Drata Team? The best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide , united by a culture that values trust, speed, and continuous growth. See the Speed: Watch our CEO, Adam Markowitz, discuss the hyper-growth journey, from $0 to $100M ARR in just four years Hear the Voice of the Team : Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available. Experience the Impact : See why we are consistently recognized on Fortune's Best Workplaces lists. Connect with Us on Socials: LinkedIn - follow us for company updates, employee stories, and career news. Job Summary: Drata is seeking a Senior Data Engineer with a strong technical understanding to join our data platform team. The ideal candidate will spearhead the development of an advanced analytics program, collaborating closely with key stakeholders to drive the organization's continuous growth. As a crucial member of our dynamic data department, consisting of Data Engineers, Analytics Engineers, Data Analysts, and Data Scientists, you will tackle the challenges presented by our unique data pipeline streaming from thousands of MySQL databases to our data warehouse, focusing on scalability, reliability, and performance optimization. We ensure all teams at Drata can easily self-serve the data and reports they need to drive their projects and make decisions. If you’re excited to work on a fast-moving team using cutting-edge technologies to collect, store, transform, analyze, and model data, we want to meet you! What You'll Do: Develop and maintain robust data models and schema designs. Design and develop complex data pipelines for efficient and scalable data processing. Optimize data infrastructure and enhance overall system performance. Advanced programming skills (Python, Java, or equivalent) for data processing and analysis tasks. Implement and optimize algorithms for data transformation, cleansing, and enrichment. Drive the adoption of best practices in data governance, security, and management. Collaborate with Software Engineers to integrate data analytics solutions into production systems. Apply machine learning techniques to extract insights and patterns from large datasets. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Formulate the right metrics and definitions of success to drive quality, efficiency, cost, timeliness and understanding the source data. Develop and maintain documentation for data processes, pipelines, and models. Engage with LLM models, showcasing your capacity to work with cutting-edge AI technologies. Continuously stay up-to-date on industry trends and advancements in data engineering and analytics. What You'll Bring: 8+ years of advanced SQL development experience coupled with robust Python or Java programming capabilities. 4+ years of hands-on experience with data warehousing technologies (Snowflake, BigQuery, Redshift). 3+ years of experience working with streaming using Spark or Flink or Kafka or NoSQL or relevant technologies Extensive experience building and optimizing large-scale ETL pipelines, data modeling and schema design. Including CDC, structured and unstructured data. A fearless attitude towards technological change and a drive to thrive in fast-paced, dynamic settings. You have strong dedication to code quality, automation and operational excellence: CI/CD pipelines, unit/integration tests. Demonstrated experience in building working in AWS, web services and/or working with ML pipelines and LLM models. Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science or related field. Solid understanding of data security and compliance requirements. Effective communication skills, conveying complex technical concepts to non-technical stakeholders. Ability to thrive in a fast-paced, high-growth startup environment with a balance of autonomy and collaboration. How we support you: At Drata, our people are our strongest advantage—and we prove it with support that exceeds industry standards. Our total rewards package is designed to power your well-being, accelerate your growth, and keep your work-life balance thriving. Explore how we invest in your Life at Drata . Shared Success : We provide stock equity to ensure that as the company grows, you share directly in that success. Equity gives every employee a sense of ownership and the opportunity to celebrate our wins together—because your contributions don’t just support our progress; they help drive our collective success. Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents , along with comprehensive wellness benefits and healthcare concierge services designed to support your needs beyond traditional insurance. Financial Well-being: A comprehensive suite of financial benefits, including a 401(k) plan , company-paid life and disability insurance , tax-advantaged spending accounts , and a range of discounted voluntary offerings to help you customize and strengthen your overall financial position. Family Support: We want to support you in life's most important moments, so we offer a paid Parental Leave policy, after six months of employment. Employees also receive access to Kindbody fertility and family-building benefits and dedicated leave specialists who help guide you through the entire process. Growth & Development: Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth. You’ll also have access to a wide range of internal learning opportunities, ensuring you can build new skills, deepen your expertise, and advance your career with confidence. Time Off & Flexibility: We believe that to do your best work, you should get the time you need for rest, rejuvenation and recovery. Drata offers a flexible vacation policy, paid holidays, and other perks to recharge. This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). The applicable salary range for this role is: $174,500 - $236,100, subject to change. A variety of factors are considered when determining someone’s leveling and compensation–including a candidate’s professional background and experience. This range may be modified in the future and final offer amounts may vary from the amounts listed above.

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are seeking a talented Data Algorithm Software Engineer to join our dynamic team and help us push the boundaries of what’s possible in autonomous driving. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to help solve complex challenges for autonomous driving and drive strategic decision-making. Your work will be supported by massive data from our autonomous fleet to deliver the best autonomous driving solution. Key Responsibilities: Develop and apply advanced data analytics, machine learning, and statistical modeling techniques to solve complex problems related to autonomous driving systems. Analyze large datasets generated by vehicle sensors to improve self-driving algorithms. Work closely with cross-functional teams (e.g., engineers, product teams) to design and optimize algorithms and models. Perform data preprocessing, cleaning, and feature engineering to ensure high-quality input for model development. Evaluate model performance and implement strategies for improvement, including tuning and retraining models with new data. Develop data pipelines and visualization tools to monitor model performance and provide actionable insights to stakeholders. Collaborate on the design and development of real-time data processing systems that support autonomous driving operations. Stay current with the latest advancements in machine learning, computer vision, and autonomous driving technologies, and apply them to improve our products. Required Qualifications: Master’s degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field (PhD is a plus). 5 + years of experience as a Data Scientist, Data Analyst, or in a similar analytical role. Proficiency in programming languages such as Python and C++. Solid understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and neural networks. Hands-on experience with data manipulation and visualization tools (e.g., Pandas, Matplotlib). Ability to work with large, complex datasets and perform data wrangling and cleaning. Strong problem-solving skills with the ability to apply analytical thinking to self-driving challenges. Preferred Qualifications: Experience with reinforcement learning and decision-making algorithms for autonomous systems. Familiarity with autonomous vehicle testing, simulation, and real-world data collection. Experience with large-scale data processing frameworks Understanding of control systems, robotics, and navigation algorithms. Previous experience in the autonomous driving, robotics, or automotive industry. Strong communication skills and ability to work in a collaborative, multidisciplinary environment. What do we provide: A fun, supportive and engaging environment Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving Opportunity to work on cutting edge technologies with the top talent in the field Competitive compensation package Snacks, lunches and fun activities The base salary range for this full-time position is $179,400-$303,600, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Company Background:  Ownwell has developed a leading end-to-end property tax solution that is purpose-built for SFR and CRE investors, operators, and property managers. We have brought Data Science and Machine Learning to a space that is ripe for disruption. We combine a best-in-class technology stack with local market expertise to reduce expenses, increase Net Operating Income, and drive operational efficiency for both our institutional clients and individual homeowners. Ownwell’s solution ensures you have the necessary tools, resources, and information to confidently manage your property taxes. Ownwell has been recognized both in Austin and Nationally, as a top workplace by the likes of Fortune, BuiltIn, Inc, and Best Places To Work. We are well-funded and venture-backed by some of the best investors in the world such as First Round Capital and Bessemer Venture Partners. Our customer base has grown by more than 300% year-over-year with exceptional feedback demonstrating clear product market fit. We are looking for driven and passionate team members who thrive in a collaborative, positive culture where we all win together. If this sounds like the place for you, come help us change the way everyday homeowners manage their real estate across the country. Our Culture People are our superpower! Centered in everything we do is a true sense of team. We listen and we learn from each other. We are on this rocketship together and embrace a fast-paced, truly collaborative environment. We are here to win as a team and as a company. We’ve brought together General Appraisers, Certified Public Accountants, Property Tax Consultants, Data Scientists, PhDs, best-in-class customer support representatives, and more to deliver top results for our customers. Our core values are our guiding principles in everything we do Customer Obsession Take Ownership Do The Right Thing Go Far Together Accelerate Innovation Meet The Engineering Team Ownwell’s engineering team is the backbone of our technology, building and scaling the systems that power our mission. We’re a tight-knit group of builders— engineers, scientists, and problem solvers—who collaborate closely with product, marketing, operations and sales teams to deliver tools that make a real impact for property owners. We value curiosity, ownership, and a willingness to tackle tough challenges head-on. If you enjoy working in a fast-paced environment where your ideas shape the future of the company, you’ll fit right in. As a Data Scientist at Ownwell, you’ll play a pivotal role in leveraging data to refine and enhance our proprietary technology. You will build predictive models, conduct analyses, and develop machine learning algorithms to uncover insights that drive strategic business decisions. Your work will directly support product innovation, marketing effectiveness, operational efficiency, and customer satisfaction. Responsibilities: Develop and deploy predictive models and machine learning solutions to optimize business processes and enable new products and use-cases. Analyze large, complex datasets to generate actionable insights, inform strategy, and improve operational efficiency. Collaborate closely with product teams, engineers, and business stakeholders to integrate data science solutions into customer-facing and internal systems. Design and execute experiments to validate and enhance product features and business initiatives. Continuously improve data quality, model performance, and data governance practices. Maintain and optimize data pipelines and analytical processes, ensuring scalability and reliability. Stay abreast of emerging trends in data science and machine learning methodologies to inform and elevate Ownwell’s data capabilities. Requirements: 2+ years of professional experience in data science or analytics roles. Proficiency in Python for data analysis and machine learning. We do not use R and are exclusively looking for people who are proficient in Python. Familiarity with SQL, including querying databases, data manipulation, and relational database concepts. Experience developing and deploying machine learning models in production environments. Understanding of statistical methods and experiment design. Familiarity with cloud services, such as AWS, for data processing and model deployment. Excellent communication skills, with the ability to clearly present analytical findings to non-technical stakeholders. Ownwell offerings Entrepreneurial culture. Own your career; we are here to support you in the journey. Access to First Round Network to build your community outside of Ownwell. Flexible PTO. We believe in giving you the flexibility to own your time off. In addition to flexible time off, you will get 11 company holidays. We offer the last week of the year to recharge and reset. Competitive health benefits. We care for you and your family's health, as reflected in our benefits coverage. Learning support through a $1,000 stipend per year to enable investing in your individual learning needs. Supporting parental journey. We offer up to 16 weeks of fully paid parental and bonding leave to support your journey as a new parent. As applicable complimentary real estate and tax consulting licensing and renewal Ownwell's vision is to democratize access to real estate expertise. When we say we want to provide access, we mean providing access to everyone. To do that well, we need a team that's broadly representative. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Ownwell is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other status.  

Description The Master Data Manager & Support is responsible for ensuring the integrity, accuracy, and governance of Customer Master Data across the organization. This role will lead to the development and enforcement of master data policies, standards, and processes, ensuring compliance with internal controls and regulatory requirements. The position will have a dotted-line reporting relationship to both Finance and IT , requiring strong cross-functional collaboration to maintain data consistency across Salesforce, ERP systems, and other platforms. ESSENTIAL DUTIES AND RESPONSIBILITIES · Master Data Governance & Integrity Develop and implement master data governance policies, standards, and procedures. Ensure accuracy, completeness, and consistency of Customer Master Data across systems. Maintain and enforce data stewardship roles and responsibilities within the organization. · Data Lifecycle Management Oversee creation, updates, and archival of customer master records. Monitor and resolve data quality issues using established tools and methodologies. Maintain a master data dictionary and metadata repository. · Cross-Functional Collaboration Partner with Finance and IT teams to align master data processes with business objectives. Support integration projects involving Salesforce and ERP systems. Facilitate resolution of data conflicts and harmonization across platforms. · Process Improvement & Technology Identify opportunities to automate and streamline master data processes. Research and implement best practices and emerging technologies in master data management. Provide training and guidance to data stewards and business users. · Compliance & Reporting Ensure compliance with data privacy regulations (GDPR, CCPA) and internal audit requirements. Develop and monitor data quality KPIs and governance dashboards. · Performs other duties as assigned to support the overall success of the team and organization. MANAGEMENT AND SUPERVISORY RESPONSIBILITY · Typically reports to Management Direct Supervisor job title(s) Typically include: Senior Director of Admin with matrix reporting to Finance and IT · Job IS directly responsible for managing other employees (e.g. hiring/termination and/pay decisions, performance management. Job title example(s) of employees directly supervised: Data Analyst JOB QUALIFICATIONS / SKILLS REQUIREMENTS · Excellent communication and stakeholder management skills. · Strong analytical and problem-solving abilities. · Ability to lead cross-functional initiatives and manage competing priorities. M ust be able to manage multiple priorities while meeting assigned deadlines · Must exercise strong decision making and analytical thinking · Ability to work independently and with teams EDUCATION AND EXPERIENCE REQUIREMENTS · Bachelor’s degree in Information Technology, Computer Science, Business Administration, or related field. · 5+ years in Master Data Management or Data Governance roles. · Proven experience with Salesforce CRM and ERP systems (SAP, Oracle, or similar). · Experience implementing data governance frameworks in large organizations. · Proficiency in SQL and familiarity with data management tools (Informatica, SAP MDG, etc.). WORKING CONDITIONS · Regular business hours. Some additional hours may be required. · Travel requirements: Domestic: Up to 20% · Climate controlled office environment during normal business hours.

About us Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. We are transforming outcomes for pregnant people and babies with evidence-based pregnancy and newborn care at scale. Our technology-driven care platform enables us to engage patients early, conduct individualized risk assessments for poor pregnancy outcomes, and deliver coordinated, personalized virtual care throughout pregnancy, NICU stays, and the first postpartum year. We measure ourselves by reductions in preterm births, NICU admissions, c-sections and maternal mortality; we improve outcomes and reduce healthcare spend. Role Description Your North Star : Enable AI product development through data modeling, measurement, and data-driven insights We're looking to bring on an experienced data scientist to join a team developing AI-powered products across our platform. As a data scientist on the Care Intelligence team, you will design, build, and optimize intelligent systems that enhance our clinical programs, drive patient engagement, and create new capabilities for our care teams and patients. Become an expert in Pomelo’s business model and patient experience, identifying opportunities for AI product development Complete exploratory analyses to inform development of AI features, such as conversation topic categorization and patient journey segmentations Contribute to the development of AI-powered features and products, such as content generation, clinical decision support, and automated workflows Define and implement quantitative metrics and measurement frameworks to measure the quality and impact of AI-generated content and workflows Execute comprehensive analyses to measure AI product performance, conduct A/B tests, and quantify the impact of AI-driven features on clinical and business outcomes Who you are You are an AI-focused data scientist and product thinker who is passionate about applying technology to healthcare challenges, and excited to work at a startup. Specifically, You have 6+ years professional experience in a data science role with a focus on product development You have 3+ years professional experience working in healthcare or regulated industries Expert proficiency in both SQL and Python Proven experience with AI product prototyping, leveraging LLMs and model evaluation Passionate about improving maternal health outcomes through innovative AI solutions Demonstrated ability to scope and implement solutions to complex, ambiguous problems across multiple domains Excited to work cross-functionally with technical and non-technical teams, effectively communicating technical capabilities and limitations to diverse stakeholders Bonus points if you have any of the following Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications Background in healthcare AI, clinical decision support, or medical NLP Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase) Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake) Why you should join our team By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it. We strive to create an environment where employees from all backgrounds are respected. We also offer: Competitive healthcare benefits Generous equity compensation Unlimited vacation At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status. Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Given that this role is open to candidates of different skill levels, determining a salary range is challenging. A reasonable estimate of the current salary range is $140,000 to $160,000. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash. Potential Fraud Warning Please be cautious of potential recruitment fraud. With the increase of remote work and digital hiring, phishing and job scams are on the rise with malicious actors impersonating real employees and sending fake job offers in an effort to collect personal or financial information. Pomelo Care will never ask you to pay a fee or download software as part of the interview process with our company. Pomelo Care will also never ask for your personal banking or other financial information until after you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All official communication with Pomelo Care People Operations team will come from domain email addresses ending in @pomelocare.com. If you receive a message that seems suspicious, we encourage you to pause communication and contact us directly at careers@pomelocare.com to confirm its legitimacy. For your safety, we also recommend applying only through our official Careers page. If you believe you have been the victim of a scam or identity theft, please contact your local law enforcement agency or another trusted authority for guidance.

What success looks like in this role: Key Responsibilities Unisys Corporation is seeking an experienced On-Site Service Engineer (OSE) to support enterprise data center and server environments , including next-generation AI platforms. This is a hands-on, customer-facing role focused on maintaining uptime, resolving complex hardware issues, and delivering outstanding on-site service. Prior AI experience is not required—strong data center and server fundamentals are what matter most. What You’ll Do Provide on-site support for Dell server and data center systems, ensuring rapid issue resolution and minimal downtime Perform hardware maintenance including server builds, swaps, component replacements, and firmware updates Troubleshoot system issues across hardware, firmware, and operating systems, escalating when appropriate Support both reactive and preventive maintenance following established procedures Collaborate with internal teams and customers during service events to ensure clear communication and resolution Document work performed and contribute to shared knowledge and best practices Participate in on-call rotations and support extended coverage when needed What You Bring Experience supporting servers or data center hardware in a field, enterprise, or customer-facing environment Hands-on skills with server components (CPU, memory, power supplies, GPUs, etc.) Familiarity with Linux or similar operating systems Strong troubleshooting and problem-solving abilities Comfortable working independently on-site and communicating clearly with customers Willingness to learn and support emerging technologies, including AI platforms You will be successful in this role if you have: 3–5+ years of experience in technical support, field service, or data center roles Associate or Bachelor’s degree in IT or related field (or equivalent experience) Dell or other vendor certifications are a plus, but not required Ability to lift up to 50 lbs, travel to customer sites, and support flexible/on-call schedules This role is ideal for engineers or senior technicians who thrive in fast-paced, customer-facing environments and want to work hands-on with cutting-edge AI data center technologies. #LI-JV1 This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here .

Job Description: Short Description: Under broad supervision, combines strong technical skills with knowledge of database administration. Works on one or more projects of high complexity. Provides technical support to development team members. Complete Description: We are seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development, migration of legacy systems, and maintaining scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms. Work Location & Attendance Must be physically located in Georgia Experience Required: 2-3 years Key Responsibilities Assist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks. Support migration and maintenance of SSIS packages from legacy systems. Implement medallion architecture (Bronze, Silver, Gold) for data lifecycle and quality. Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark. Build curated datasets to support Power BI dashboards. Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets. Apply data governance policies in line with Microsoft Purview or Unity Catalog. Support monitoring, logging, and CI/CD automation using Azure DevOps Technical Stack Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake) Azure Databricks SQL Server / SQL Managed Instances Power BI SSIS (migration and maintenance) LangGraph and RAG DB (for advanced data workflows) Qualifications Bachelor's degree in computer science, Information Systems, or related field. 2–3 years of experience in data engineering or related roles. Proficiency in SQL, Python, Spark. Familiarity with LangGraph and RAG DB concepts. Hands-on experience with Microsoft Fabric and Power BI. Understanding of ETL/ELT pipelines and data warehousing concepts. Preferred Knowledge of CI/CD automation with Azure DevOps. Familiarity with data governance tools (Microsoft Purview, Unity Catalog). Experience with SSIS package migration and maintenance. Skills Matrix Bachelor's degree in computer science, Information Systems, or related field. Required 3 Years 3-5 years of experience in data engineering or related roles. Required 3 Years Familiarity with LangGraph and RAG DB concepts. Required 3 Years Understanding of ETL/ELT pipelines and data warehousing concepts. Required 3 Years Knowledge of CI/CD automation with Azure DevOps. Nice to have 3 Years Familiarity with data governance tools (Microsoft Purview, Unity Catalog). Nice to have 3 Years Experience with SSIS package migration and maintenance. Nice to have 3 Years Flexible work from home options available. Compensation: $65.00 - $66.00 per hour About Us AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues. AHU Technologies INC. was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Business Intelligence Job Category: Professional All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine . IM Transcend is an E2E global business transformation program that will modernize our foundational transactional processes and harmonize them into a standardized platform for growth, agility, and efficiency gains. The program will simplify the SAP ERP landscape, standardizing processes to have a cost effective, fit for purpose digital backbone that will enable us to support the IM business with agility. Additionally, the program will remediate the end-of-life system exposure that we risk towards the end of this decade. Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Apply today for this exciting opportunity! As the Sr. Manager- Data Analytics for Transcend Make and Quality, you will drive the comprehensive design and strategy of data and analytics solutions. Collaborating with cross-functional teams across all regions, you will ensure alignment with global organizational goals, leveraging industry best practices in data governance, advanced analytics, and integrated reporting. Key Responsibilities: Work with functional leads and business teams to incorporate supply chain specific needs into business requirements while remaining aligned with procedures and global standards. Own & manage business requirement backlog and ensuring SAP S/4 clean core alignment. Design and manage global templates for analytics in collaboration with key stakeholders (IM Transcend teams; IMSC Data Strategy and Operations) Drive standardization initiatives to improve efficiency and consistency across regions. Define governance policies to ensure the accurate use, updates, and maintenance of the global analytics and related templates. Regularly audit and refine templates based on user feedback and changing business needs. Provide detailed business requirements (BUS) to deployment teams. Support the technical deployment. Serve as a central point of contact for template users across the organization during the project. Act as an inspiring leader and key advisor on emerging trends in data management and analytics technologies Lead all aspects of data products life-cycle management related activities. Qualifications Education: Minimum of a Bachelor's/University or equivalent degree is required; focused degree in Supply Chain, Data & Analytics, or related field is preferred Experience and Skills: Required: At least 8 years of work experience Proven track record of managing data assets and ensuring data quality and governance Strong understanding of data lifecycle management, data modelling, and data architecture principles Familiarity with data governance tools, data management platforms, and data quality management practices Strong background with SAP S/4 Deep knowledge of the supply chain operations, including understanding processes, rules, and data requirements Good Data Strategy facilitator to help drive business impacts Great collaboration skills and ability to interpret end user needs Preferred: Experience in the Pharmaceuticals and/or Healthcare industries Technical expertise and knowledge for digital solution implementation and deployment. Demonstrate software programming expertise and advanced database knowledge Combined business acumen with data modelling background Experience shaping data service levels agreement with different end user groups Knowledge in data lifecycle management procedures and standard methodologies Demonstrates analytics skills and critical thinking Leading with purposes and sense of urgency Other: This position may require up to 20% of domestic or international travel Requires the ability, through our flexible work policy, to work on-site a minimum of three days each week, with the option for two remote workdays each week Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): United States- Requisition Number: R-046024 Switzerland- Requisition Number: R-046024 Belgium, & Italy- Requisition Number: R- 050429 Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission. For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com .] Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation Required Skills: Preferred Skills: Advanced Analytics, Business Behavior, Business Intelligence (BI), Controls Compliance, Cross-Functional Collaboration, Data Analysis, Data Governance, Data Privacy Standards, Data Quality, Information Security Risk Management, Management Systems Implementation, Organizing, Performance Measurement, Tactical Planning, Team Management, Technical Credibility, Workflow Analysis The anticipated base pay range for this position is : $120,000-$207,000 USD Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits