Senior data scientist jobs in Pennsylvania

SAP Data Migration Lead Primary Tech: SAP S/4HANA Cloud (RISE 2023), SAP BODS Seeking a senior SAP Data Migration Lead to own the end-to-end Data Migration workstream for large-scale SAP S/4HANA Cloud (RISE) transformation initiatives. The role requires deep hands-on expertise in SAP BODS, S/4HANA Migration Cockpit, and complex legacy ERP migrations (preferably Microsoft Dynamics NAV / Navision or other SQL-based systems), along with strong leadership experience managing global delivery teams in a regulated life sciences environment. Key Responsibilities Lead data migration strategy, design, build, test, validation, reconciliation, cutover, and post-go-live support. Own S/4HANA Migration Cockpit (staging table-based) migrations. Migrate key data objects including Business Partner, Material Master, BOMs, and Hierarchies. Design and execute data validation, reconciliation, and audit frameworks using SAP BODS and SQL. Act as the single point of contact for migration build, deployment, and defect resolution. Develop and review Functional Design Specifications and deployment documentation. Estimate effort, manage delivery of migration user stories, and participate in Agile/Scrum ceremonies. Interface directly with company IT, business, and quality stakeholders. Lead and mentor onshore/offshore teams, ensuring delivery quality and timelines. Required Skills & Experience 12+ years of Data Migration experience; 8+ years with SAP BODS and S/4HANA. Must Have: SAP S/4HANA Migration Cockpit (staging table approach). Strong hands-on experience with SAP BODS and SQL-based source systems. Proven migration experience from Microsoft Dynamics NAV (Navision) or similar ERPs. Strong understanding of data governance, validation, and audit controls. Experience managing offshore/global delivery teams. Excellent communication and stakeholder management skills. Nice to Have Life Sciences / Pharma / Medical Devices domain experience. GxP-aligned data practices exposure. SAP or domain certifications. Experience with integrations (SOAP / REST APIs).

Hybrid (Bethlehem, PA) Contract Applicants must be authorized to work in the U.S. without sponsorship We're looking for a Senior Data Engineer to join our growing technology team and help shape the future of our enterprise data landscape. This is a hands-on, high-impact opportunity to make recommendations, build and evolve a modern data platform using Snowflake and cloud-based EDW Solutions. How You'll Impact Results: Drive the evolution and architecture of scalable, secure, cloud-native data platforms Design, build, and maintain data models, pipelines, and integration patterns across the data lake, data warehouse, and consumption layers Lead deployment of long-term data products and infuse data and analytics capabilities across business and IT Optimize data pipelines and warehouse performance for accuracy, accessibility, and speed Collaborate cross-functionally to deliver data, experimentation, and analytics solutions Implement systems to monitor data quality and ensure reliability and availability of Production data for downstream users, leadership teams, and business processes Recommend and implement best practices for query performance, storage, and resource efficiency Test and clearly document data assets, pipelines, and architecture to support usability and scale Engage across project phases and serve as a key contributor in strategic data architecture initiatives Your Qualifications That Will Ensure Success: Required: 10+ years of experience in Information Technology Data Engineering: professional database and data warehouse development Advanced proficiency in SQL, data modeling, and performance tuning Experience in system configuration, security administration, and performance optimization Deep experience required with Snowflake and modern cloud data platforms (AWS, Azure, or GCP) Familiarity with developing cloud data applications (AWS, Azure, Google Cloud) and/or standard CI/CD tools like Azure DevOps or GitHub Strong analytical, problem-solving, and documentation skills Experience in system configuration, security administration, and performance optimization Proficiency with Microsoft Excel and common data analysis tools Ability to troubleshoot technical issues and provide system support to non-technical users. Preferred: Experience integrating SAP ECC data into cloud-native platforms Exposure to AI/ML, API development, or Boomi Atmosphere Prior experience in consumer packaged goods (CPG), Food / Beverage industry, or manufacturing

Local Candidates Only - No Sponsorship** A growing technology company in the Doylestown, PA area is seeking a Data Engineer to join its analytics and machine learning team. This is a hands-on, engineering-focused role working with real operational time-series data-not a dashboard or BI-heavy position. We're looking for someone who's naturally curious, self-driven, and enjoys taking ownership. If you like solving real-world problems, building clean and reliable data systems, and contributing ideas that actually get implemented, you'll enjoy this environment. About the Role You will work directly with internal engineering teams to build and support production data pipelines, deploy Python-based analytics and ML components, and work with high-volume time-series data from complex systems. This is a hybrid position requiring regular on-site collaboration. What You'll Do ● Build and maintain data pipelines for time-series and operational datasets ● Deploy Python and SQL-based data processing components using cloud resources ● Troubleshoot issues, optimize performance, and support new customer implementations ● Document deployment workflows and data behaviors ● Work with engineering/domain specialists to identify opportunities for improvement ● Proactively correct inefficiencies-if something can work better, you take the initiative Required Qualifications ● 2+ years of professional experience in data engineering, data science, ML engineering, or a related field ● Strong Python and SQL skills ● Experience with time-series data or operational/industrial datasets (preferred) ● Experience with deploying machine learning ● Exposure to cloud environments; Azure experience is a plus but not required ● Ability to think independently, problem-solve, and build solutions with minimal oversight ● Strong communication skills and attention to detail Local + Work Authorization Requirements (Strict) ● Must currently live within daily commuting distance of Doylestown, PA (Philadelphia suburbs / Montgomery County / Bucks County / surrounding PA/NJ areas) ● No relocation, no remote-only applicants ● No sponsorship-must be authorized to work in the U.S. now and in the future These requirements are firm and help ensure strong team collaboration. What's Offered ● Competitive salary + bonus potential ● Health insurance and paid time off ● Hybrid work flexibility ● Opportunity to grow, innovate, and have a direct impact on meaningful technical work ● Supportive, engineering-first culture If This Sounds Like You We'd love to hear from local candidates who are excited about Python, data engineering, and solving real-world problems with time-series data Work Authorization: Applicants must have valid, independent authorization to work in the United States. This position does not offer, support, or accept any form of sponsorship-whether employer, third-party, future, contingent, transfer, or otherwise. Candidates must be able to work for any employer in the U.S. without current or future sponsorship of any kind. Work authorization will be verified, and misrepresentation will result in immediate removal from consideration

SAS Developer Basic Requirements: 5+ plus years of overall experience in design and development of applications. requires knowledge of Base SAS, SAS Macros, Proc SQL, SAS/STAT, SAS/SQL, etc. Working experience with mathematics, statistics, quantitative SAS functions, SAS Macros Proficiency with Linux/Unix shell scripting Solid analytical and problem-solving skills Ability to work independently and with a team Ability to build and maintain SAS Data Integration Studio jobs, manage job flows within the Platform Load Sharing Facility, and troubleshoot job failures. Experience importing, transforming, merging, and cleaning data, including running quality checks Familiarity with Agile development frameworks and development of productions systems including proficiency with using JIRA

Data Engineer - Job Opportunity Full time Permanent Remote - East coast only Please note this role is open for US citizens or Green Card Holders only We're looking for a Data Engineer to help build and enhance scalable data systems that power analytics, reporting, and business decision-making. This role is ideal for someone who enjoys solving complex technical challenges, optimizing data workflows, and collaborating across teams to deliver reliable, high-quality data solutions. What You'll Do Develop and maintain scalable data infrastructure, cloud-native workflows, and ETL/ELT pipelines supporting analytics and operational workloads. Transform, model, and organize data from multiple sources to enable accurate reporting and data-driven insights. Improve data quality and system performance by identifying issues, optimizing architecture, and enhancing reliability and scalability. Monitor pipelines, troubleshoot discrepancies, and resolve data or platform issues-including participating in on-call support when needed. Prototype analytical tools, automation solutions, and algorithms to support complex analysis and drive operational efficiency. Collaborate closely with BI, Finance, and cross-functional teams to deliver robust and scalable data products. Create and maintain clear, detailed documentation (configurations, specifications, test scripts, and project tracking). Contribute to Agile development processes, engineering excellence, and continuous improvement initiatives. What You Bring Bachelor's degree in Computer Science or a related technical field. 2-4 years of hands-on SQL experience (Oracle, PostgreSQL, etc.). 2-4 years of experience with Java or Groovy. 2+ years working with orchestration and ingestion tools (e.g., Airflow, Airbyte). 2+ years integrating with APIs (SOAP, REST). Experience with cloud data warehouses and modern ELT/ETL frameworks (e.g., Snowflake, Redshift, DBT) is a plus. Comfortable working in an Agile environment. Practical knowledge of version control and CI/CD workflows. Experience with automation, including unit and integration testing. Understanding of cloud storage solutions (e.g., S3, Blob Storage, Object Store). Proactive mindset with strong analytical, logical-thinking, and consultative skills. Ability to reason about design decisions and understand their broader technical impact. Strong collaboration, adaptability, and prioritization abilities. Excellent problem-solving and troubleshooting skills.

1. Comfortable writing and tuning SQL queries on Vertica . 2. Can work with large datasets. 3. Good understanding of MicroStrategy basics like Attributes, Facts, and Hierarchies. 4. Skilled at translating complex technical outputs into simple, meaningful visuals and summaries. 5. Experience optimizing MicroStrategy reports for performance and scalability. 6. Experience creating data pipeline using cloud platforms (edited)

About This Role: At hMetrix, we are transforming healthcare through data-driven solutions. We're looking for a Senior Healthcare Data Analyst to collaborate with and mentor talented hybrid teams of up to five healthcare policy experts, analysts, software developers, and data architects. In this role, you will be the crucial bridge between business needs and technical solutions. You will leverage cutting-edge technologies to design and implement innovative systems that support an efficient, secure, and stable healthcare data ecosystem for our clients. Your success will be measured by the value we deliver to providers, payers, HIEs, state governments and their communities. What You'll Do: Strategy & Collaboration Collaborate with and mentor your team of analysts, developers, and data architects. Develop and maintain a roadmap for our project data infrastructure, ensuring it aligns with business goals and industry best practices. Collaborate with business stakeholders to gather requirements and translate them into technical specifications. Technical Execution & Data Pipelines Review proposed data processing pipelines (including data warehouses and ETL processes) to ensure performance, scalability, and reliability. Maintain and optimize robust data pipelines using modern ETL tools for efficient data ingestion and processing. Prioritize and manage project data flows to ensure timely delivery and effective resource allocation. System Performance & Governance Oversee monitoring and alerting systems to proactively identify and resolve potential issues. Proactively monitor system performance, identifying and resolving bottlenecks in our analytic applications. Contribute to enforcing data governance policies to ensure data quality, consistency, and compliance. What You'll Bring: Required: Education: Bachelor's degree or higher in Computer Science, Biostatistics, Engineering, or a related technical field. Core Experience: A minimum of four years of relevant experience working directly within the healthcare domain (e.g., payer, provider, healthcare technology). Technical Mastery: At least four years of hands-on experience with SQL, Python, and PySpark applied to data management and analysis. Data Expertise: Strong, practical knowledge of data management and warehousing concepts and best practices. Nice-to-Haves: Proficiency with modern web and cloud (AWS or GCP) technologies. Strong understanding of U.S. healthcare policy and value-based reimbursement models. Familiarity with administrative healthcare claims data (e.g., structure, content, and usage) and HL7 or FHIR healthcare data interoperability standards. Why You'll Love Working at hMetrix: We invest in our team's success and well-being. Here's what we offer: Financial Wellness: A competitive base salary, annual bonus opportunities, and a fully vested 401(k) with a generous employer match. Comprehensive Health: 100% employer-paid medical, dental, and vision premiums for you and your dependents. Work-Life & Flexibility: A hybrid (in-office/remote) schedule with the flexibility of intra-day breaks of up to two hours. Professional Growth: Real opportunities for advancement, supported by continuous mentorship and a strong peer-support network. About hMetrix: For over two decades, hMetrix has been at the forefront of healthcare analytics. We partner with providers, payers, HIEs, and state entities to solve real-world healthcare problems. Our work spans robust data collection, scalable integration, healthcare policy support, reimbursement, data science, and intuitive visualization. We define problems collaboratively with our clients, tailoring our technology and data resources to meet their specific needs. We are a diverse, family-friendly team focused on inclusion, growth, and making a tangible impact. Our Recent Impact: Identified over $100 million in actionable annual savings through advanced algorithms. Serve as a key technology partner to state governments, managing large, complex B2B healthcare portals and specialized HIE solutions. Reduced data processing time by over 90% through advanced technology and automation. Supported policy initiatives to improve care for over 2 million beneficiaries. Join us at hMetrix and contribute to fascinating and rewarding projects that make a tangible impact in the healthcare industry. We value diversity and strive to create a family-friendly culture that fosters inclusion and growth for better business performance. Location 150 Monument Road, Suite 203 Bala Cynwyd, PA 19004 Tel: ************** | Fax: **************

What success looks like in this role: Design, develop, and maintain robust, scalable data-driven applications combining data processing, transformation, and business logic. Enforce best practices across software and data layers through strong architecture and design principles. Collaborate with developers, architects and stakeholders to align application design with data strategies and business requirements. Build, test, and maintain reliable data pipelines integrated with application components. Support deployment, monitoring, and operational stability of data-centric applications in cloud or managed platform environments. Stay up-to-date with emerging technologies, tools, and best practices in both application development and data engineering. You will be successful in this role if you have: At least 5+ years of professional experience in software development or data engineering projects Proven ability to contribute to architecture and design discussions encompassing application and data platform interactions. Proficiency in programming languages commonly used in data processing and application development, including Python, Scala, SQL, C#. Deep understanding of data engineering principles and broader software architecture practices, including microservices, APIs, and integration patterns. Experience with both SQL and NoSQL databases, ensuring efficient data modeling, storage, and transformation. Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and deploying scalable applications in these environments. Knowledge of containerization (e.g., Docker) and infrastructure-as-code practices is a plus. Experience with Databricks is a plus. Strong problem-solving, communication, and leadership skills, with the ability to mentor team members and drive technical decisions. Ability to work independently and collaboratively in an agile, fast-paced, high-impact environment. Strong written and verbal communication skills in English

About the Role We are seeking a highly skilled Senior Data Scientist with expertise in Pricing, FSN and point of Sales analysis for manufacturing parts for a Manufacturing Client. As an algorithm expert, you will be responsible for building and supporting predictive models that drive our pricing and FSN strategies. You will work independently and will be managing your scope of work to analyze, compile data and forecast results with predictive outcomes reporting directly to the CIO. This role requires a deep understanding of pricing experimentation, POS and manufacturing parts Supply chain process advanced modeling, and retail data analytics to uncover insights that directly impact the companys bottom line. You will play a key role in designing, evaluating, and refining pricing strategies through data-driven approaches. Key Responsibilities Develop and enhance predictive models for manufacturing parts pricing, FSN and POS. Analyze and interpret large, complex pricing-related datasets, applying feature engineering techniques. Identify opportunities to incorporate new data sources and insights for improved pricing accuracy. Leverage statistical and machine learning techniques to validate and refine pricing models. Using data analysis to identify areas for improvement in manufacturing processes, like optimizing parameters for better product quality and yield. Act as a strategic partner in defining pricing roadmaps and priorities in collaboration with cross-functional teams. Design and implement pricing evaluation frameworks to determine optimal pricing strategies. Monitoring quality metrics and implementing data-driven strategies to minimize defects and ensure product consistency. Translate complex analytical findings into actionable insights, presenting them to senior leaders and stakeholders. Lead end-to-end analytical projects, ensuring seamless execution from data processing to model deployment. Stay up to date with industry trends in pricing analytics, machine learning, and manufacturing sector developments. Required Qualifications Bachelors or Masters degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Economics, Computer Science) OR equivalent industry experience. 5+ years of experience in Manufacturing parts pricing analysis, FSN and POS data science, and statistical modeling, preferably in a manufacturing or supply chain environment. The role is seeking for a 10+ years of experience (Phd experience included) Proficiency in SQL, Python, R, or other data analysis and statistical programming languages. Strong understanding of pricing strategies, price elasticity modeling, and demand forecasting. Expertise in machine learning techniques (supervised/unsupervised learning, classification, regression, etc.). Experience with A/B testing, controlled experiments, and statistical analysis to assess pricing models' business value. Strong data engineering skills, including data cleaning, transformation, and feature engineering. Ability to communicate complex data insights to non-technical stakeholders and executives. Experience managing end-to-end machine learning pipelines and deploying models in production environments. Preferred Qualifications Prior experience in manufacturing, supply chain, or retail pricing analytics. Familiarity with big data technologies (e.g., Spark, Hadoop, Databricks). Experience with cloud platforms such as AWS, GCP, or Azure. Strong business acumen and the ability to translate data-driven insights into revenue-generating strategies. Package Details $65-$70 per hour on 1099 or C2C

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 ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit *********************************** The Population Analytics and Insights, a part of Data Science and Digital Health at Johnson & Johnson Innovative Medicine, is recruiting a Senior Scientist to work on drug target identification/evaluation in Neuroscience therapeutic area. The primary location for this position is Spring House, PA, USA. No remote option is available for this position. The Data Science Analytics & Insights team develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and self-driven scientist who will work on analyzing large-scale genomics data to strengthen our research capacity in disentangling the molecular drivers of neuropsychiatric conditions aimed at pushing the boundaries of data-driven drug discovery using the cutting-edge computational and algorithmic tools. KEY RESPONSIBILITIES: This position is defined on two main contexts: (a) Neuropsychiatric conditions 1) identify genetically-driven therapeutic targets leveraging a wealth of biobank scale data such as genetics, proteomics and other omics data modalities (2) precision stratification of patients and characterize genomic manifestations of disease subtypes using a wide variety of large-scale biological data and computational methods; (b) on-target toxicity/liability assessment of neuroscience-related target genes using omics data and network-based models. The Senior Scientist will work closely with a team of scientists in disease genetics, computational genomics, AI and machine learning as well as neuroscience therapeutic area to design and implement computational pipelines, analyze and interpret the results, and communicate the findings through internal presentations, conferences and scientific publications. The senior scientist will also have opportunities to collaborate with other researchers and institutions on related projects: Conceive, develop, and implement analytical solutions to high-priority scientific projects. Continuous engagement and participation with scientists across JnJ to foster scientific collaborations and building a carrier network. Analyze the large-scale genetics, proteomics, and other omics data modalities using the advances statistical and computational methods. Publish findings in top-tier journals and conferences. QUALIFICATIONS: The successful candidate will have a strong background in bioinformatics, computational biology, or related fields, with experience of working with large-scale genetics data e.g. SNP array, WES/WGS and multi-omics data e.g., proteomics, transcriptomics etc. A Ph.D. in a quantitative field - Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, Computer Science, or related fields. 2-3 years of postgraduate scientific experience. A strong publication record in the relevant areas is required. Proficient in programming languages such as R/Python, bash, SQL, etc. Experience with multi-omics data integration, especially network analysis. Experience/knowledge of psychiatric conditions such as schizophrenia and bipolar disorder is a plus. Experience with bulk/single-cell transcriptomics, epigenomics, and proteomics is preferred. Excellent written and oral communication skills, and ability to effectively communicate technical findings with stakeholders. Ability to work independently and as part of a team. 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 and 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, please email the Employee Health Support Center (********************************) or contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : $109,000 - $174,800 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)). 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. *********************************************

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Aurora is working to deliver the benefits of self-driving technology safely, quickly, and broadly. We are searching for a Senior Safety Data Scientist to support the development of quantitative safety arguments and tooling infrastructure. You will apply statistical analysis, machine learning, and probabilistic modeling to inform safety strategy and support external safety communications. You will collaborate with stakeholders across software, systems, hardware, data science, data infrastructure, operations, product, legal, and government relations to shape the future of autonomous vehicle safety. In This Role, You Will: Design and deploy safety related data pipelines, models, tooling, and infrastructure in partnership with technical and non-technical stakeholders. Execute in-depth safety analysis on operational and simulation data, distilling complex findings into immediate, actionable risk mitigation strategies. Implement safety-related initiatives in alignment with safety goals and best practices. Develop safety related processes and reporting for organizational, operational, and product data to ensure accuracy and consistency. Support the identification of systemic, latent, and emerging risks in fleet operations to advance root cause analyses and implement appropriate risk management measures. Define and evolve safety metrics by designing and validating novel measures using hypothesis testing and exploratory analysis. Audit and validate technical safety evidence and artifacts spanning the breadth of self-driving technology (hardware, software, and operations) to ensure alignment with quantitative safety arguments and regulatory standards through enterprise tool suites Conduct root cause analysis for safety issues and support the formulation of specific, data-backed corrective actions. Lead the quantitative development of internal and external reports (e.g., Voluntary Safety Self Assessment) and public statements, ensuring safety arguments are statistically robust. Present and expertly communicate the output of technical analysis to both technical and non-technical audiences. Development of new processes and procedures related to safety metrics, data integrity, and issue handling. Required Qualifications Bachelor's/Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent technical experience. 5+ years of industry experience solving complex problems Proficiency in programming languages such as Python and R Experience building and deploying models using Amazon Web Services (AWS) tools, e.g. AWS Bedrock, Redshift Experience working with data transformation tools such as DBT Knowledge and experience with relational databases (SQL) and data warehouses Strong skills for querying, analyzing, and visualizing large datasets Expertise in applied statistics, exploratory data analysis, hypothesis testing, and probabilistic modeling Experience in machine learning techniques Effective written and verbal communication skills to present work with, and present technical analysis to, both technical and non-technical audiences Ability to work independently and as part of a cross-functional team Desirable Qualifications Experience working in a safety-related domain Knowledge of automotive domain and relevant safety standards Experience in the Autonomous Vehicles, Aerospace, or Robotics domains The base salary range for this position is $146,000 - $211,500 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-SP1 #Mid-Senior

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team! “What is a Trellavator?” you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion-and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are! Position Overview: We are looking for a Senior Data Scientist to join our Data Science & Engineering team. In this role, you will be responsible for turning medical and pharmacy claims data into measures and actionable insights within our software as a Service (SaaS) solution. You will utilize your strong quantitative analysis, SQL, and Python skills to create and analyze scripts to compute metrics and impact downstream data sets. You will work cross-functionally with the data engineering, product, and data quality teams to ensure our data pipelines are accurate, efficient, and high quality. We're looking for someone who is intellectually curious and passionate about continuous learning, especially when solving problems within healthcare data. Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations. Reports to: Data Science Manager As a Senior Data Scientist at Trella, you will: Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable insights to Trella's proprietary solutions. Design, build, and maintain scalable Databricks workflows and jobs for processing healthcare claims data. Develop and optimize PySpark and SQL pipelines for performance, reliability, and efficiency. Implement data quality monitoring and validation frameworks to ensure completeness, accuracy, and consistency of claims data. Support modernization by refactoring legacy SAS scripts into Databricks. Act as a subject matter expert on healthcare data sources, calculations, and methodologies. Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements. Continuously enhance your knowledge of the healthcare industry through independent research and professional development. This job might be a fit for you if you have: 5+ years of experience in data science, preferably within healthcare space. Advanced SQL and Python skills (e.g. writing complex data processing scripts and automating workflows). Experience working with Databricks, including Spark SQL and PySpark for analytics, data modeling, and machine learning workflows. A deep understanding of data lineage to track and visualize data dependencies, identifying upstream/downstream impacts. Experience with statistical modeling including regression, imputation techniques, and risk scoring. Strong knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial) as well as medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI). Excellent problem-solving, time management, and communication skills. Familiarity with software development tools like Jira, Confluence, and Bitbucket. A passion for using data to improve healthcare and a love for solving complex problems. Bachelor's or Master's degree in a technical field or equivalent experience. About Trella Health: Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty. Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella: Over 1,000 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems Over 150 team members and growing Recognized as one of Modern Healthcare's “Best Places to Work” in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. The Trellavator Experience: At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion-and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more. We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are: Health, Dental, Vision & Voluntary Benefits Competitive Salary & Bonus Plans 401k Retirement Savings Flexible PTO & 10 Paid Holidays Flexible Work Hours Equity Shares Paid Leave Programs Marketplace for discounted retail and entertainment Equal Opportunity Employer Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.

Job DescriptionAbout Us: We believe everyone deserves a chance to improve their financial future. We're dedicated to building simple and inclusive financial products that help our members create healthy habits and achieve economic stability. The Perpay team is a motivated group of creative problem solvers who love getting things done and making an impact. Located in Center City, Philadelphia, our one-of-a-kind space promotes a collaborative work environment, unites our team, and feels like a home away from home. As a certified B Corp, Perpay is committed to building a mission-driven culture that balances purpose and performance - Learn more. Some things we're excited about: $500 million in spending power used by our members Increasing members' credit by 32 points (on average) within the first 3 months Backed by First Round Capital and JP Morgan Products we've built to make an impact: Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior. Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus. Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds. About the Role: As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay's mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you're looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay. Our greatest strength is our people and we'd love for you to be one of them! Responsibilities: Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer's financial lives and the health of the business Proactively identify opportunities for the data science team to improve and expand Perpay's business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay's business model Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources Deploy and maintain real-time model inference resources and infrastructure Deploy and maintain machine learning pipelines including batch processing and continuous training architecture Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team Act as an informal mentor peers What You'll Bring: 5+ years of experience* and expertise applying machine learning techniques in industry 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs) 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics) Excellent communication skills, across a range of audiences from technical to non-technical Strong business acumen, demonstrated through subject matter expertise in at least one industry Capable of managing projects "end to end" including managing project scope, timelines and workloads Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.) Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization *Internships not included Nice to have: Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc. Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc. Experience with scalable compute frameworks such as Spark or Polars Experience with deployment frameworks such as Kubernetes What We'll Bring: Competitive salary + company equity 401k with company match Medical / Dental / Vision insurance Flexible Spending Account (FSA) Team member discounts Relocation assistance Pre-tax commuter benefit Student loan repayment match Gym subsidy with City Fitness Cell phone plan Paid parental leave Unlimited PTO Additional Perks: Opportunity to gain experience at one of the fastest-growing financial startups in the country Work on both e-commerce & fintech customer-facing products Collaborate cross-functionally with product, design, marketing, operations, data teams, and more This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1) Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at careers@perpay.com to request accommodation.

About Us: We believe everyone deserves a chance to improve their financial future. We're dedicated to building simple and inclusive financial products that help our members create healthy habits and achieve economic stability. The Perpay team is a motivated group of creative problem solvers who love getting things done and making an impact. Located in Center City, Philadelphia, our one-of-a-kind space promotes a collaborative work environment, unites our team, and feels like a home away from home. As a certified B Corp, Perpay is committed to building a mission-driven culture that balances purpose and performance - Learn more. Some things we're excited about: $500 million in spending power used by our members Increasing members' credit by 32 points (on average) within the first 3 months Backed by First Round Capital and JP Morgan Products we've built to make an impact: Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior. Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus. Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds. About the Role: As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay's mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you're looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay. Our greatest strength is our people and we'd love for you to be one of them! Responsibilities: Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer's financial lives and the health of the business Proactively identify opportunities for the data science team to improve and expand Perpay's business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay's business model Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources Deploy and maintain real-time model inference resources and infrastructure Deploy and maintain machine learning pipelines including batch processing and continuous training architecture Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team Act as an informal mentor peers What You'll Bring: 5+ years of experience* and expertise applying machine learning techniques in industry 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs) 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics) Excellent communication skills, across a range of audiences from technical to non-technical Strong business acumen, demonstrated through subject matter expertise in at least one industry Capable of managing projects “end to end” including managing project scope, timelines and workloads Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.) Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization *Internships not included Nice to have: Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc. Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc. Experience with scalable compute frameworks such as Spark or Polars Experience with deployment frameworks such as Kubernetes What We'll Bring: Competitive salary + company equity 401k with company match Medical / Dental / Vision insurance Flexible Spending Account (FSA) Team member discounts Relocation assistance Pre-tax commuter benefit Student loan repayment match Gym subsidy with City Fitness Cell phone plan Paid parental leave Unlimited PTO Additional Perks: Opportunity to gain experience at one of the fastest-growing financial startups in the country Work on both e-commerce & fintech customer-facing products Collaborate cross-functionally with product, design, marketing, operations, data teams, and more This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1) Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at ****************** to request accommodation.

This is a hybrid role based in the Malvern, PA office. (3 days in office) The Senior Data Scientist plays a critical role within the Data Science team, driving advanced analytics, machine learning, and predictive modeling initiatives. This role focuses on developing strategic models and solutions to optimize business operations, enhance customer experience, and maximize revenue. The Senior Data Scientist must possess deep technical expertise as they will play a critical role in shaping the data science strategy. The Senior Data Scientist will collaborate closely with cross-functional teams, providing leadership in analytical projects while remaining hands-on with coding and model development. Who We Are At CubeSmart, we're intentional about culture. You can experience it everywhere from our mission statement of "genuine care" to our "It's What's Inside That Counts" tagline to calling each other "teammates" rather than employees. This spirit fosters a fun and collaborative environment that has resulted in our rapid growth and being recognized amongst the top in our industry. CubeSmart's award-winning team is made up of people who genuinely care. Teammates care about our customers and the life events and/or business needs they are facing. Teammates are passionate, responsible, and understanding. The CubeSmart team is made up of people who have a can-do attitude, are committed to their own success and the success of the company, and lead by example. If this sounds like a team and culture that matches your personal values and motivations, we want to hear from you. Responsibilities * Advanced Analytics and Modeling * Develop and implement advanced analytics and machine learning models to solve complex business problems. * Oversee the design and execution of predictive models for customer segmentation, pricing strategies, and inventory management. * Provide expert guidance on the theoretical foundations of statistical models and machine learning techniques, ensuring the selection of appropriate methods is grounded in a deep understanding of the problem context, underlying assumptions, and potential trade-offs. * Ensure the accuracy, quality, and scalability of data science solutions. * Assist in the creation and evolution of state-of-the-art MLOps implementations. Strategic Collaboration * Work with cross-functional teams, including marketing, operations, investments, and finance, to identify data-driven opportunities. * Provide actionable insights and recommendations to senior leadership based on analytical findings. * Lead projects aimed at optimizing business operations, improving customer experience, and increasing revenue. Experimentation and Testing * Design and implement testing and experimentation strategies, including A/B testing and controlled experiments. * Analyze results from experiments to measure the effectiveness of business strategies. * Develop guidelines and best practices for consistent and reliable experimentation results and monitoring. Data Infrastructure and Governance * Collaborate with IT and data engineering teams to ensure data infrastructure is reliable and scalable. * Establish and maintain data governance practices to ensure data quality, consistency, and security. * Advocate for best practices in data management. Leadership and Mentorship * Mentor junior data scientists, providing guidance on best practices and technical problem-solving. * Foster a collaborative and innovative team culture, promoting continuous learning and professional development. Communication and Stakeholder Management * Communicate complex analytical concepts and insights to non-technical stakeholders, including executives. * Develop and deliver presentations, reports, and dashboards to convey data-driven. * Build and maintain strong relationships with internal stakeholders to understand their needs and provide tailored data science solutions. Qualifications * Master's degree or Ph.D. in Economics, Data Science, Statistics, Mathematics, or a related field. * Minimum of 5 years of experience in data science, analytics, or a related field. * Proven track record in developing and deploying machine learning models and advanced analytics solutions. * Proficiency in programming languages such as Python and SQL, and big data technologies like Databricks. * Strong problem-solving skills and strategic thinking ability. * Excellent communication skills for explaining technical concepts to non-technical audiences. * Strong interpersonal skills for building relationships with stakeholders.. #LI-MT1

The Data Scientist will provide meaningful insight on how to improve our current business operations. Principle Accountabilities/Responsibilities * Work closely with domain experts and SME's to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements * Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. * Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features * Communicate model performance & results & tradeoffs to stake holders * Determine requirements that will be used to train and evolve deep learning models and algorithms * Visualize information and develop engaging dashboards on the results of data analysis. * Build reports and advanced dashboards to tell stories with the data. * Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes * Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. * Proactively mine data to identify trends and patterns and generate insights for business units and management. * Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums * Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. * Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements * PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. * 5+ years of experience using large scale data to solve problems and answer questions. * Prior experience in the Manufacturing Industry. Skills/Competencies Requirements * Experience in building and deploying predictive models and scalable data pipelines * Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. * Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. * Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. * Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. * Strong problem solving and decision-making skills * Ability to explain deep technical information to non-technical parties * Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. * Strong understanding of data governance/management concepts and practices. * Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. * Proven history managing stakeholder relationships. * Business case development. First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.

Contract-to-Hire (6 months) Lancaster, PA We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure that support analytics, AI, and data-driven decision-making. This role is hands-on and focused on building reliable, well-modeled datasets across modern cloud and lakehouse platforms. You will partner closely with analytics, data science, and business teams to deliver high-quality data solutions. Key Responsibilities Design, build, and optimize batch and real-time data pipelines for ingestion, transformation, and delivery Develop and maintain data models that support analytics, reporting, and machine learning use cases Design scalable data architecture integrating structured, semi-structured, and unstructured data sources Build and support ETL / ELT workflows using modern tools (e.g., dbt, Airflow, Databricks, Glue) Ingest and integrate data from multiple internal and external sources, including APIs, databases, and cloud services Manage and optimize cloud-based data platforms (AWS, Azure, or GCP), including lakehouse technologies such as Snowflake or Databricks Implement data quality, validation, governance, lineage, and monitoring processes Support advanced analytics and machine learning data pipelines Partner with analysts, data scientists, and stakeholders to deliver trusted, well-structured datasets Continuously improve data workflows for performance, scalability, and cost efficiency Contribute to documentation, standards, and best practices across the data engineering function Required Qualifications 3-7 years of experience in data engineering or a related role Strong proficiency in SQL and at least one programming language (Python, Scala, or Java) Hands-on experience with modern data platforms (Snowflake, Databricks, or similar) Experience building and orchestrating data pipelines in cloud environments Working knowledge of cloud services (AWS, Azure, or GCP) Experience with version control, CI/CD, and modern development practices Strong analytical, problem-solving, and communication skills Ability to work effectively in a fast-paced, collaborative environment Preferred / Nice-to-Have Experience with dbt, Airflow, or similar orchestration tools Exposure to machine learning or advanced analytics pipelines Experience implementing data governance or quality frameworks Familiarity with SAP data platforms (e.g., BW, Datasphere, Business Data Cloud) Experience using LLMs or AI-assisted tooling for automation, documentation, or data workflows Relevant certifications in cloud, data platforms, or AI technologies

Full-time Perm Remote - EAST COAST ONLY Role open to US Citizens and Green Card Holders only We're looking for a Senior Data Engineer to lead the design, build, and optimization of modern data pipelines and cloud-native data infrastructure. This role is ideal for someone who thrives on solving complex data challenges, improving systems at scale, and collaborating across technical and business teams to deliver high-impact solutions. What You'll Do Architect, develop, and maintain scalable, secure data infrastructure supporting analytics, reporting, and operational workflows. Design and optimize ETL/ELT pipelines to integrate data from diverse internal and external sources. Prepare and transform structured and unstructured data to support modeling, reporting, and advanced analysis. Improve data quality, reliability, and performance across platforms and workflows. Monitor pipelines, troubleshoot discrepancies, and ensure accuracy and timely data delivery. Identify architectural bottlenecks and drive long-term scalability improvements. Collaborate with Product, BI, Finance, and engineering teams to build end-to-end data solutions. Prototype algorithms, transformations, and automation tools to accelerate insights. Lead cloud-native workflow design, including logging, monitoring, and storage best practices. Create and maintain high-quality technical documentation. Contribute to Agile ceremonies, engineering best practices, and continuous improvement initiatives. Mentor teammates and guide adoption of data platform tools and patterns. Participate in on-call rotation to maintain platform stability and availability. What You Bring Bachelor's degree in Computer Science or related technical field. 4+ years of advanced SQL experience (Oracle, PostgreSQL, etc.). 4+ years working with Java or Groovy. 3+ years integrating with SOAP or REST APIs. 2+ years with DBT and data modeling. Strong understanding of modern data architectures, distributed systems, and performance optimization. Experience with Snowflake or similar cloud data platforms (preferred). Hands-on experience with Git, Jenkins, CI/CD, and automation/testing practices. Solid grasp of cloud concepts and cloud-native engineering. Excellent problem-solving, communication, and cross-team collaboration skills. Ability to lead projects, own solutions end-to-end, and influence technical direction. Proactive mindset with strong analytical and consultative abilities.