Senior data scientist jobs in Reading, PA

Data Consultant - 87IB5E We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Hartford Funds is seeking a thoughtful and versatile Data Scientist to join our growing Emerging Tech and AI team. This role combines core modeling and analytics expertise with a strong awareness of modern AI, automation, and workflow technologies. Ideal candidates are hands-on with data, comfortable with ambiguity, and motivated to create value through intelligent systems and automation. Key Responsibilities Develop and deploy statistical and machine learning models to solve a range of business problems, including forecasting, classification, segmentation, and causal inference. Collaborate across business and technology teams to scope projects, identify opportunities, and deliver actionable insights. Contribute to AI and automation-related initiatives, helping evaluate and implement GenAI and workflow solutions. Support scalable data solutions using modern cloud tools and APIs, and help maintain analytical and data science codebases. Education & Experience Education Bachelor's degree in Statistics, Computer Science, Mathematics, or a related discipline. Master's degree in Statistics, Computer Science, Mathematics, or a related discipline. Experience Minimum 4 years of hands-on experience in data science or a related field. Preferred 6+ years of hands-on experience in data science or a related field. Required Skills Strong foundation in statistical modeling and machine learning, including regression, time series forecasting, tree-based algorithms, optimization, and causal analysis. You should be comfortable applying the right methods to the right problems. Strong Python and SQL. Familiarity with R is a plus, especially for supporting legacy code. Understanding of the Microsoft Copilot ecosystem; including Copilot Studio, Azure Foundry, and prompting best practices. Experience building or configuring Copilot agents is a huge plus. Experience working with Snowflake or a similar cloud data platform. Ability to work with APIs, write modular and reproducible code, and support basic data engineering tasks (e.g., pipeline design, version control). Preferred Qualifications Familiarity with robotic process automation tools such as UiPath, Power Automate, or similar platforms. Awareness of workflow automation tools (e.g., n8n, Apache Airflow, etc) and how they integrate with predictive models or LLMs. Understanding of how automation, GenAI, and decision systems can be orchestrated to create agentic or semi-autonomous solutions. Exposure to MLOps or DevOps practices such as CI/CD pipelines, model versioning, or containerization. General understanding of Salesforce and its role in enterprise data ecosystems. Additional Qualities We Value Strong communication skills with the ability to translate technical work into clear, business-relevant insights. Ability to balance hands-on technical development with broader strategic thinking. Curiosity about emerging technologies and a pragmatic approach to applying them in real business contexts. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $120,000 - $150,000 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Job DescriptionJob DetailsDescription EVERSANA applies AI/machine learning techniques to the breadth of healthcare and non-healthcare data integrated with our deep clinical expertise to provide a unique and unmatched suite of services and products to the pharmaceutical and healthcare industries.We are seeking highly motivated individuals who are passionate about AI/machine learning and its application across disparate data resources to help our healthcare clients gain insights not previously possible and to connect patients to therapies sooner and positively impact their lives.EVERSANA is seeking a Data Science professional to design, implement and deploy advanced machine learning / artificial intelligence algorithms across multiple domains including, but not limited to, healthcare, media, programmable ads, retail, and manufacturing. These analysis tasks will involve developing original code and leveraging EVERSANA's existing healthcare analytics platform to provide analytic solutions in support of EVERSANA's internal and external clients. This professional will be a member of EVERSANA Data & Analytics Data Science team. Experience Population Health Health Economics Epidemiology Development of machine learning solutions in healthcare Experience with production-level machine learning platforms Genomics data processing / bioinformatics Social media analysis/NLP Programmatic Ads / Algorithms Omnichannel experience Duties Apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets Develop visualizations for delivery to clients Develop software solutions using Python, and/or R Interface with other EVERSANA analysts and program managers and with Eversana customers Contribute to EVERSANA's machine learning platform Degree in any of the following majors: Engineering, Computer Science, Mathematics, Bioinformatics, Physics, Quantitative Economics, Statistics Qualifications Big data technologies (e.g. Spark, Snowflake) Scientific computing experience Graph database / graph machine learning #LI-TL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. Eurofins is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. The Group also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 55,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 50 countries. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. Job Description Eurofins Biopharmaceutical is looking for an Associate Scientist to support Data Review of our Biochemistry team. The Associate Scientist position is considered an entry-level opportunity that will allow for hands on development and growth in day-to-day activities supporting a laboratory setting under prescribed processes (protocols, standard operating procedures, methods, etc.). The Data Review requirement of this position will also allow for development and assignment of responsibilities that include reviewing scientific reports under CGMP guidelines, assisting with internal audits, review of scientific reports to ensure regulatory requirements have been met, data tracking and reporting. This position will provide a balance schedule to support both laboratory and data tracking operations and is seeking a potential candidate that is interested in learning both aspects within a lab setting. Employee Responsibilities and Qualifications: Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations. Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility Experience in a laboratory setting or GMP pharmaceutical setting. Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility as appropriate Good organizational skills; ability to follow direction and good communication skills are required. Strong computer, scientific, and organizational skills. Excellent communication (oral and written) and attention to detail. Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude. Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies. Qualifications Minimum Qualifications: Bachelors Degree in a LIFE SCIENCE field such as Chemistry, Biochemistry, and Biology required Authorization to work in the United States indefinitely without restriction or sponsorship Additional Information Position is full-time, Monday-Friday, 8am - 4 pm., with additional hours, as needed. Candidates currently living within a commutable distance of Lancaster, Pennsylvania are encouraged to apply. This position is NOT remote. We offer excellent full-time benefits including: comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, dental and vision options. Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer. To learn more about Eurofins, please explore our website ****************** . Eurofins USA BioPharma Services is a Disabled and Veteran Equal Employment Opportunity employer.

Job Description APR Supply Co. is a century-strong leader in the HVAC and Plumbing distribution industry - and we're redefining how data powers our business. As part of our ongoing digital transformation, we're building a modern, AI-enabled data platform centered on Microsoft Fabric to unlock intelligent insights, automate operations, and elevate customer experience. We're seeking an accomplished Data Scientist to help architect and advance this platform-integrating structured and unstructured data, enabling intelligent analytics, and driving the adoption of AI technologies across the enterprise. This is a new, high-impact position with strong executive support and tremendous opportunity to shape the future of data and AI at APR. If you're a data innovator eager to build from the ground up-combining deep technical expertise with strategic influence-this is your chance to make a lasting mark. The Opportunity As APR's Data Scientist, you'll take the lead in developing our Microsoft Fabric-based data ecosystem, from data lake ingestion and transformation to the creation of advanced analytics and AI models. You'll play a hands-on role designing Power BI dashboards and semantic models, while also pioneering the use of multimodal RAG (Retrieval-Augmented Generation), Copilot-style assistants, and AI-driven enrichment of text, image, and video data. This is a greenfield opportunity to define data excellence at APR-turning raw information into real-time decision intelligence and next-generation automation. What You'll Do Develop and maintain our Microsoft Fabric data lake and pipelines (OneLake, Dataflows Gen2, Spark). Build high-performance Power BI models and dashboards that enable enterprise-wide analytics. Integrate structured and unstructured data (text, images, documents, video) into a unified data ecosystem. Contribute to AI-driven solutions, including Retrieval-Augmented Generation (RAG) and Copilot-style tools. Collaborate with cross-functional teams to turn raw data into strategic business insights. What You Bring 5+ years of experience in data science, analytics, or BI development. Strong hands-on skills with Power BI, SQL, and Python. Experience with Microsoft Fabric, Azure Data Factory, or Synapse Pipelines. Familiarity with AI, NLP, or unstructured data processing. Excellent communication skills and the ability to partner with technical and business leaders. Why Join APR Supply Co.? Build the Future: Lead the design of our next-generation AI and data platform. Innovate with Purpose: Apply advanced analytics and AI to solve real business challenges. High Visibility: Work directly with executive leadership to influence enterprise strategy. Career Advancement: Grow toward leadership in AI engineering, data architecture, or product analytics. Join us in shaping the data future of a century-old company transforming through innovation. #IND-APR #ZIP-APR

JPC Partners is looking for a Fractional ML Engineer or Data Scientist to help our Cybersecurity client analyze and model data from real-time network traffic logs (primarily Zeek conn.log, DNS logs, and NetFlow). Our goal is to extract actionable insights and build lightweight detection models for anomalous behavior, segmentation policy validation, and traffic classification. You'll be working with structured log data and should be comfortable designing and evaluating machine learning workflows that can scale or be embedded into lightweight data pipelines (e.g., Jupyter, Python, cloud-ready). This is part-time/project-based, ideal for someone with a cybersecurity lens and ML fluency. Responsibilities Explore and model Zeek and/or NetFlow log data Help improve existing pipeline logic (cleaning, enrichment, labeling) Build and test supervised and unsupervised models for: Traffic classification (e.g., system personality or app type) Anomaly detection (e.g., port scanning, lateral movement) Baseline behavior for network segmentation enforcement Optionally develop output for visualization or SIEM dashboards Example Use Cases Classify device types based on observed connection patterns Detect rogue internal services using legacy or high-risk ports Map internal east-west traffic to segmentation policy gaps Identify abnormal DNS behavior and data exfiltration attempts Required Skills 3 - 5+ years of professional experience in Data Science, Machine Learning Engineering, or a related field Demonstrated experience working with real-world datasets, model deployment, and production-grade ML workflows Desired Skills Python (Pandas, Scikit-learn, Jupyter), some SQL Experience with GCP and implementing cloud-based ML systems Experience with Zeek, NetFlow, or PCAP-derived data Familiarity with cybersecurity principles (MITRE ATT&CK, segmentation, IDS logic) Bonus: TensorFlow/PyTorch, Docker, experience integrating with SIEMs or cloud logging platforms Experience with implementing LLMs in cloud production environments

This role will help in the development of predictive analytics solutions. The Associate Data Scientist will work on 1-2 projects concurrently under the supervision of senior members of the Data Science team. The projects at this level will vary from small and straightforward to large and complex. Similarly, impact can range from team/department level up to organization-wide. The Associate Data Scientist provides analysis and assists in developing machine-learning models to solve business problems. Such efforts require cross-functional involvement from various disciplines across the organization. **Major Responsibilities:** **Data evaluation and analysis:** - Assist in identifying appropriate data sources to answer business question - Extract, blend, cleanse, and organize data - Visualize data - Identify (and ameliorate) outliers and missing or incomplete records in the data **Model building and implementation** - Participate in the identification of appropriate techniques and algorithms for building model - Create and test model - Build application and embed model **Communication** - Engage in best practices discussions with other team members regarding modeling activities - Discuss project activities and results with team - Help in the documentation and presentation of project stories **Identify opportunities for savings and process improvement:** - Collaborate with various stakeholders to identify business problems - Help conduct ROI analysis to determine project feasibility - Help build business case to solve such business problems - Other projects as assigned by the supervisor **Qualifications:** - Masters degree required, concentration in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or related quantitative field preferred - 1+ years experience along with a Master's degree in data or business analytics - 1 year of experience designing and building machine learning applications using either structured or unstructured datasets is required. Practical experience programming using Python, R or other high level scripting languages is required. Demonstrated experience with one or more machine learning techniques including logistic regression, decision trees, random forests and clustering is required. Knowledge and experience with SQL is preferred. - Experience in the following areas: -Machine learning (intermediate) -Statistical modeling (elementary) -Supervised learning (intermediate) -Statistical computing packages (e.g., R) (elementary) -Scripting languages (e.g., Python) (intermediate) - Ability to collect and analyze complex data - Must be able to translate data insights into action - Must be able to organize and prioritize work to meet multiple deadlines - Must be able to communicate effectively in both oral and written form - Strong communication skills required - Must have strong time management skills - Regular, predictable, full attendance is an essential function of the job - Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. **Physical Requirements:** -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. **About Penske Truck Leasing/Transportation Solutions** Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 100 Kachel Boulevard Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID: 2512517

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) The Data Scientist will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing AI solutions - from predictive algorithms to agentic systems - into healthcare in a safe, ethical and cost-effective manner.This is a Stanford Health Care job. A Brief Overview The Data Scientist will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost-effective manner. The individual will design, implement and support ML models for use in the clinic. Locations Stanford Health Care What you will do Build, deploy and maintain AI and ML enabled care workflows. This includes working with others at SHC to design and develop solutions to the problems undertaken by the Data Science group. Evaluate tools, platforms and strategies used by the Data Science group to manage the lifecycle of building models from healthcare data. Train, develop, and validate researcher-built or vendor provided machine learning algorithms on hospital data with strong quality control checks and bias assessments. Education Qualifications PhD/MS degree in statistics, informatics or related field Experience Qualifications PhD: Experience preferred MS Degree: 4+ years of related experience with applied problems Required Knowledge, Skills and Abilities Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and experience in processing and analyzing healthcare data. Experience developing, evaluating, and implementing machine learning models. Experience working with clinicians and researchers across disciplines to develop approaches for use in clinical care. Experience working in cloud environments or working in a healthcare organization. Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics. Knowledge of software development, machine learning, and technology infrastructure Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks. Physical Demands and Work Conditions Blood Borne Pathogens Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family's perspective: Know Me: Anticipate my needs and status to deliver effective care Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health Coordinate for Me: Own the complexity of my care through coordination Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $79.21 - $104.97 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Role - Contracts & Pricing DD&T Lead OBJECTIVES/PURPOSE At Takeda, we believe the pace of change will continue to accelerate. As a company, we are uniquely positioned to lead digital disruption rather than merely respond to it. If you are passionate about driving transformation, building and supporting innovative capabilities, and diving deep into data, this is an exciting opportunity. Takeda Pharmaceuticals is seeking a highly motivated and experienced Senior Manager, Contracts and Pricing Data, Digital and Technology (DD&T) lead to drive strategic initiatives and provide operational support in Contracts and Pricing. This role will be instrumental to rapidly stand-up data solutions and perform complex data analysis against various large structured and unstructured data across different domains and systems that support Contracts and Pricing and key stakeholders across the organization. This role will also perform troubleshooting and root cause analysis regarding data flow representation and data quality processes. In addition, the role will partner with teams in defining and implementing AI/Automation productivity gains and continuous improvement opportunities. This role will conduct, facilitate, and influence analytical assessments, in partnership with our business stakeholders and across various technology teams, and conceptualize business needs to translate them into analytical solutions. The role will work across teams and define various data set requirements to identify business rules and technical architecture structure, adhering to Takeda's enterprise architecture principles, best practices, and business goals. This role will manage the operations of data and AI/Automation solutions developed and will lead in partnership with our business stakeholders to monitor, track, and prioritize activities. The ideal candidate will have deep expertise in pharmaceutical Contracts & Pricing Commercial and Regulatory contract strategies, reimbursement processes, price forecasting, and gross-to-net implications. The ideal candidate will be skilled not only in Contracts and Pricing insights and analytics but also in using AI tools to drive efficiency and innovation. ACCOUNTABILITIES Ability to understand, consolidate, and transform various data sets related to commercial pharmaceutical data focusing on areas such as Model N revenue management, government reporting and interfaced systems, pharmacy and medical claims payor, product, and plan management, product launch analytics, gross-to-net and master data. Collaborate with business stakeholders to understand and define their needs and desired outcomes, then identify, deliver and support optimal, efficient solutions that enable key insights, analytics, and decision-making capabilities. Define and implement AI solutions that provide greater efficiency, productivity gains, and innovation opportunities for Takeda. Partner with technical engineering teams, enterprise data backbone, solution architects and third-party partners to develop technical architecture. Evaluate, implement and deploy emerging tools and processes to advance analytical capabilities or to improve colleague productivity and realize efficiency gains. Support business stakeholders in Contracts and Pricing and across the US organization for data related questions and analysis related to Model N Revenue Management Rebates, Chargebacks, Medicaid, Pricing, and Master Data. Perform root cause analysis of business concerns about data flow and complex pipelines through data quality processes, customer master, and the data warehouse, in collaboration with business, technical teams, and third-party data vendors and software providers. Build and maintain technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources and large, complex data sets with a focus on Contracts and Pricing, Government Pricing and Managed Markets/Commercial systems and data. Develop processes to analyze and monitor complex data management processes such as data flow, matching, mapping and mastering to ensure data integrity carries through to final reports and/or solutions. Collaborate with and lead efforts that involve Contracts and Pricing data across the Enterprise Data Backbone (EDB) platform that provides capabilities for teams across the USBU organization. Partner with stakeholders in providing guidance and assisting in the creation of Tableau reports. As an expert professional within the organization, this role will develop innovative Contracts & Pricing solutions to complex problems aligned with organizational objectives. Work involves addressing intricate issues, requiring in-depth analysis and judgment. Engagement with key contacts across the organization is required in order to contribute to the development of new concepts and standards. Role will often work independently and lead function teams or projects, while also ensuring collaboration and partnerhip across various business and technical teams. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor's degree in business, Data Science, Life Sciences, or a related field (MBA or advanced degree preferred). 7+ years of experience in market access, payer strategy, contracting & pricing, and/or reimbursement in the pharmaceutical/biotech industry. Strong understanding of US healthcare contract strategies, reimbursement, government pricing processes, data, and capabilities that can be leveraged across the organization to enable greater insights and analytics. Ability to coordinate across multiple teams in a matrixed environment and drive collaboration. Excellent communication skills, adept at engaging senior stakeholders to elicit requirements and transform them into data-driven, digital, and technological solutions that empower deeper insights and analytics, driving strategic business decisions. Experience working with commercial analytics. Familiarity with data in the pharmaceutical space (i.e., Model N, IQVIA, Symphony Claims, DRG, fingertip formulary, revenue management, gross-to-net, predictive modeling, price and demand forecasting). Experience with ETL, reporting tools, data governance, data warehousing, structured and unstructured data. Strong knowledge and expertise with SQL, PL/SQL, Tableau Reporting tools. Experience in Agile software processes and working in Agile delivery model. Strong understanding and experience with AI, Data Warehousing, Data Lake trends and concepts. Strong analytical and organization skills and ability to prioritize and juggle multiple tasks. Ability to work independently and as part of team. Preferred MBA or equivalent Master's degree. Experience working within a complex data environment. Expertise with Revenue Management and Government Reporting systems, including back-end data and interfaces. Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Exton, PA U.S. Base Salary Range: $137,000.00 - $215,270.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. LocationsExton, PAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time Job Exempt Yes

Back to Open Opportunities Returning Applicant? Login Now Notice: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time. However, USLI reserves its right to provide employment-based immigrant visa assistance on a discretionary basis. Explore USLI's extensive company benefits, perks, and more below! *Not applicable to External Customer Program U.S. Benefits Canada Benefits Senior Data Engineer Location:Wayne, PA Team:Application Development Job Type:Information Technology FT/PT Status:Full Time Job Title: Data Engineer Location: Wayne, PA About Us: At USLI, we're not just about insurance - we are committed to making a difference, both internally and externally. Our community is built upon five values: Caring, Attitude, Respect, Empathy and Energy. Our commitment to these values leads us to make better decisions and furthers our true sense of community. By joining our team, you'll be part of a vibrant organization that values innovation, collaboration and growth. Here, you'll have the opportunity to shape the future of insurance and make a meaningful impact. Your Role: As a data engineer, you will lead the design, development and deployment of scalable data solutions across cloud and on-premises environments. You will oversee a high-performing team in building modern data products and platforms, applying core software engineering principles to data engineering challenges. This is a technical leadership role that requires adaptability, mentorship and hands-on expertise in data systems. You will help shape our data architecture, mentor others and ensure the delivery of high-quality, resilient solutions. Key Responsibilities: * Team leadership: Provide day-to-day oversight and technical direction for data engineering initiatives, offering guidance and support * Data engineering: Lead the design and development of data pipelines using Apache Spark and Databricks, incorporating best practices in performance, scalability and maintainability * Cloud and Lakehouse solutions: Build and optimize data solutions in Azure, leveraging cloud-native PaaS tools and open-source technologies, such as Delta Lake * Collaboration: Partner closely with software engineers, the architecture team and product owners to deliver data solutions aligned with business goals * Mentorship: Mentor engineers on data modeling, performance tuning and platform design while fostering a collaborative and growth-oriented team culture * Innovation: Stay current on emerging trends in cloud data platforms, lakehouse architecture and open-source tools and offer recommendations to improve our stack and practice * Problem-solving: Apply strong analytical and problem-solving skills to troubleshoot data pipeline issues across varied systems * Professional development: Participate in and promote learning opportunities through the annual training and development plan, team knowledge sharing and mentorship What You'll Bring: * Technical skills: * Experience building data assets, products and pipelines with Apache Spark and Databricks * Familiarity with Azure cloud services and PaaS offerings (or equivalent experience with other cloud providers) * Recent data engineering experience with Scala or Java (or willingness to learn) is a plus * Programming skills in SQL and experience with RDBMS systems * Familiarity with NoSQL databases * Experience with open-source data lake storage technologies such as Delta Lake * Knowledge of data lakehouse architectures * Familiarity with one statically typed enterprise programming language (i.e. C#, Java) is a plus * Adaptability: Ability to context-switch between multiple priorities and rapidly changing project scopes * Communication: Strong written and verbal communication skills to clearly convey technical decisions and mentor others * Leadership: A collaborative, hands-on approach to leadership and technical problem-solving Qualifications: * College degree in computer science, software engineering or a related field, or equivalent industrial or technical experience * Fundamental knowledge of data structures and algorithms is required * Ten or more years of data and/or software engineering experience * Experience working in Agile/SCRUM environments and with modern DevOps practices * 9 a.m. to 5 p.m. ET schedule, with some overtime as needed * All positions are required to work on-site 75% of the time, unless indicated otherwise in the job description What We Offer: One of the advantages of working at USLI is the competitive salary and benefits program we offer full-time and eligible part-time employees. Benefits include performance-based triannual bonuses, medical benefits paid at 100% for full-time employees and 80% for eligible part-time employees, a profit-sharing program, free lunch every day while onsite and more than 450 annual personal and professional development courses. Explore more company benefits. Why USLI? At USLI, we are committed to fostering a vibrant and inclusive community that celebrates the rich diversity of all ethnicities, nationalities, abilities, genders, gender identities, sexual orientations, ages, religions, socioeconomic backgrounds and life experiences. We understand the importance of continuous learning, self-reflection, acknowledging our biases and expanding our perspectives beyond our own. We actively encourage open dialogue on diversity, equity, inclusion, and belonging to support a workplace where every individual feels valued, respected and empowered to contribute at their fullest potential. Join us in building a diverse and inclusive environment where our shared values drive us toward excellence.

The Lead Data Engineer will lead the design, development, and administration of critical data pipelines and platform infrastructure within an Azure Databricks environment. This role is focused on building robust, scalable, and secure data solutions that enable efficient data consumption and digital transformation across the organization. The Lead Data Engineer will be responsible for catalog architecture, data quality, security compliance, and stakeholder engagement, while independently managing complex projects from concept to delivery while keeping the organization's unique needs in consideration. Employee may perform other related duties as required to meet the ongoing needs of the organization. Essential Responsibilities: Build, improve, manage and administrate a complex set of mission-critical data pipelines and data sets in a Databricks environment, with a heavy emphasis on stability, best practice and long-term continual improvement. Plan out and execute major catalog redesigns and rebuilds with a focus on stability, data integrity and zero data loss. Troubleshoot and resolve data pipeline, quality and resource issues efficiently with a high level of urgency. Lead adoption of the Databricks environment and modern methods of data consumption, digital transformation and automation solutions. Meet with stakeholders at every level of the organization to understand needs, objectives, requirements and set expectations. Train and assist users, teams and departments with furthering their adoption and utilization of Databricks. Assess and determine the success of current platform utilization while also identifying and defining new process improvement opportunities. Plan the adoption of new features and technologies within Databricks, Azure and the Power Platform. Independently manage multiple projects (solo and team-based). Support data security and governance within the Unity Catalog by maintaining data access controls, including PII-management, tokenization, row level security, masking and data usage logging and monitoring. Perform security audits and establish alerts. Perform data analysis, quality improvements, dashboarding, reporting and visualization of data. Assist data domain owners, report builders and analysts with report development (Power BI), improvement, migration and best practices. Serve as final approval of releases to production with thorough code and impact reviews, dependencies and change management. Serve as administrator of Power BI production workspaces, evaluation of best practices and compliance within reports, and certification of Power BI reports. Administrate all areas of Databricks including user access, resources, cost and security. Essential Skills: Expert-level proficiency in developing advanced ETL pipelines using Databricks. Extensive experience with Unity Catalog, Delta Live Tables, data ingestion, transformation, cleansing, and governance methodologies. Advanced expertise in Python and SQL within Databricks Notebooks. Hands-on experience working with large, complex ERP data sets such as SAP, Infor, Dynamics 365, or Oracle. Strong understanding of Machine Learning (ML), Large Language Models (LLMs), and related concepts. Experience designing and implementing IoT and real-time streaming data pipelines. Proficiency with Azure DevOps, including repositories, version control, production deployments, and CI/CD best practices. Demonstrated experience in Azure and Databricks cost management, including resource administration, cost reporting, budgeting, and alerting. Bachelor's degree in Computer Science, STEM, or a related field (or equivalent experience). Minimum 3 years of experience working in a technology-focused role. At least 1 year of direct, hands-on experience with Databricks in an Azure environment. Familiarity with Agile/Scrum methodologies and collaborative development environments. Willingness to travel to Brentwood site locations and attend industry conferences (approximately 10% travel). Preferred Certifications & Skills: Databricks Certified Data Engineer Professional Microsoft Certified: Azure Data Engineer Associate Experience with R, Scala, or other statistical programming languages Brentwood offers professional growth potential, pleasant work environment, and an excellent wage and benefits package including 401K w/employer match. Brentwood Industries, Inc., provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. At Brentwood, we have a passion for both our products and our people. Our goal as an employer is to help you excel as an individual and as part of a team by providing you with a satisfying, motivating and stimulating work experience. The varied nature of the environment at Brentwood allows you to work alongside industry professionals on a wide range of projects, contributing your knowledge and strengths to develop innovative, market-driven solutions. 8:00am - 5:00pm Monday thru Friday

Value Proposition Our values define us and our culture inspires us to change lives for the better. Our employees are the heart and soul of our company, and every success we experience begins with them. Together we are committed to making a positive impact in our local communities. We champion a culture of continuous learning, work-life integration, and inclusion. We promote a digitally enabled work environment to continuously enhance the experience of our employees and customers. Overview This is a full-time career opportunity that can be remote within the Fulton Bank footprint as follows: DC, DE, MD, NJ, PA, VA. Must have availability to be onsite once per month at our Headquarters location. Responsible for providing data modeling and source to target mapping for database development projects, design and user support for business intelligence implementation, design and ownership of the corporate data architecture and related standards, design and maintenance of reference and master data management initiatives, establishment of meta data management policies and procedures, including maintenance of data warehouse and source application data dictionaries, and development and enforcement of data management standards. Lead efforts on major corporate initiatives such as, Data Warehouse and Big Data implementations. Responsibilities Senior Data Architects work on a broad range of projects as well as provide technical oversight for other members of a project team. Defining the corporate data architecture and related standards. Data integration architecture. Data warehouse and business intelligence architecture. Taxonomies and namespaces. Data modeling tools and standards. Metadata standards and requirements. Define the corporate data architecture and related standards for Data integration architecture, Data warehouse and business intelligence architecture. Taxonomies and namespaces. Data modeling tools and standards. Metadata standards and requirements. Work with Data Governance team to: Design and manage reference data and master data programs. Design and manage implementation of RDM and MDM solutions. Define and maintain match rules, data cleansing rules, hierarchies and affiliations, and Golden records. Manage changes to reference and master data by identifying sources and contributors and establishing processes for managed change. Establishing metadata management policies and procedures. Develop, maintain and enforce standards. Implement and maintain metadata tools. Manage metadata repositories. Create and manage widely accessible data dictionaries. Enforce policies and processes needed to improve and maintain the quality and ownership of data. Provide regular advice, direction and support to Data Analysts with hands on demonstrations of proper techniques and disciplines across all functions. Deliver these functions with leading industry practices with a thorough understanding of the full systems development lifecycle. Act as a role model for documentation, communication, scripting and adherence to established Information Technology governance standards and procedures. Qualifications Education Bachelor's Degree or the equivalent experience. Specialty: Relevant degree pertaining to the essential duties of this role. (Required) Required Experience 5 or more years Data modeling or architecture, Processes and Controls for development and for operations. Reporting support. Documentation. Control designs for processing integrity. Data Sourcing and Content analysis. Subject area expertise in Retail Banking, Retail Lending, Commercial Banking or Commercial Lending. Subject area expertise in anti-money laundering compliance, adverse business events, regulatory compliance, litigation, valuation. 5 or more years Skills or implementing and or using: Data modeling software, such as ERWin or ER Studio Implementation and administration of BI Software, such as Business Objects or Crystal Reports or Brio or Hyperion, including semantic layer management SQL Server and Oracle including SQL queries and stored procedures Data cleansing software, such as Trillium MDM software Data Visualization tools, such as Qlikview or Tableau Analytical tools, such as SAS. Solid communication skills and proficiency with Excel, Word and PowerPoint. Preferred Experience 4 or more years Quantitative analysis and reporting of customer or product data. 3 or more years Exposure to or training in big data technologies such as the Hadoop ecosystem. Certifications DAMA Certified Data Management Professional or TWDI Certified Business Intelligence Professional. (Preferred) DAMA Data Management Body of Knowledge. (Preferred) Other Duties as Assigned by Manager This role may perform other job duties as assigned by the manager. Each employee of the Organization, regardless of position, is accountable for reading, understanding and acting on the contents of all Company-assigned and/or job related Compliance Programs, regulations and policies and procedures, as well as ensure that all Compliance Training assignments are completed by established due dates. This includes but is not limited to, understanding and identifying compliance risks impacting their department(s), ensuring compliance with applicable laws or regulations, and escalating compliance risks to the appropriate level of management. Pay Transparency To provide greater transparency to candidates, we share base salary ranges on all job postings regardless of state. We set standard salary ranges for our roles based on the position, function, and responsibilities, as benchmarked against similarly sized companies in our industry. Specific compensation offered will be determined based on a combination of factors including the candidate's knowledge, skills, depth of work experience, and relevant licenses/credentials. The salary range may vary based on geographic location. The salary range for this position is $99,200.00 - $165,300.00 annually. Additional Compensation Components This job is eligible to receive equity in the form of restricted stock units. This job is eligible to participate in a short-term incentive compensation plan subject to individual and company performance. Benefits Additionally, as part of our Total Rewards program, Fulton Bank offers a comprehensive benefits package to those who qualify. This includes medical plans with prescription drug coverage; flexible spending account or health savings account depending on the medical plan chosen; dental and vision insurance; life insurance; 401(k) program with employer match and Employee Stock Purchase Plan; paid time off programs including holiday pay and paid volunteer time; disability insurance coverage and maternity and parental leave; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about your potential eligibility for these programs, please visit Benefits & Wellness | Fulton Bank. EEO Statement Fulton Bank (“Fulton”) is an equal opportunity employer and is committed to providing equal employment opportunity for all qualified persons. Fulton will recruit, hire, train and promote persons in all job titles, and ensure that all other personnel actions are administered, without regard to race, color, religion, creed, sexual orientation, national origin, citizenship, gender, gender identity, age, genetic information, marital status, disability, covered veteran status, or any other legally protected status. Sponsorship Statement As a condition of employment, individuals must be authorized to work in the United States without sponsorship for a work visa by Fulton Bank currently or in the future.

**Introduction** A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. **Your role and responsibilities** During your co-op experience, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career. At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As a co-op, you'll experience this culture and have the opportunity to advance to our associate program based on results and performance. Work experiences you could be exposed to: * Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors. * Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data. Evaluate model results contributing to data-driven insights. * Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings. * Tech-Driven Data Transformer: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers. Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit These positions are anticipated to start in summer 2026. Candidates must have the ability to obtain and maintain a Federal Security clearance while in IBM Federal Consulting. The below requirements are guidelines. If you have transferable skills, we encourage you to apply for this role. **Required technical and professional expertise** * Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, IST, or a related field. * Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment. * Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints. * Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges. * Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation. * Ability to work in-office, on-site in State College, PA during the academic year. * Ability to work up to 20 hours per week when classes are in session (e.g., fall and spring semesters) and availability to potentially work up to 40 hours per week during academic breaks (e.g., summer). * Must have the ability to obtain and maintain a Federal clearance, if necessary, for your client assignment. **Preferred technical and professional experience** * Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications. * General familiarity with databases, data-engineering tools (SQL, spark) and cloud platforms (e.g., IBM Cloud, Azure, AWS). Experience with NLP/LLM/GenAI is a plus. * Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. About Us A new era is here. Big data, automation, and additive manufacturing will change the way we look at manufacturing completely. If you are up for the challenge of developing the next generation of production plants and want to be a part of the innovative world of Volvo Group, this is the graduate program for you! The Operations Graduate Program (OGP) is a 15-month program offering intense and exciting opportunities where you are provided a holistic view of our operational and logistics activities. You will be working with the manufacturing technologies of tomorrow, building the products of the future - electric, connected, and automated. In parallel, you will grow as a person, through individual and team development sessions. You will experience several local and international on the job-rotations and work on business-critical projects developing your competencies for tomorrow. You will take a deep dive into some specific areas of our business such as manufacturing, health and safety, quality, and continuous improvements, while also learning about the end-to-end supply chain, aftermarket parts, and our remanufacturing operations In addition, you will gather with other program participants to take part in trainings and events designed to help you grow into your future career at the Volvo Group. OGP starts in August 2026, and this position will be located in Macungie, PA. This program does not offer current or future sponsorship. Individuals with temporary visas or who require sponsorship now or in the future are not eligible. What you will do As a Digital Transformation Data Engineer, you will be developing the Manufacturing Technologies of the future in relation to Volvo Group ambitions in emerging technology. * You will support the Manufacturing Engineering Technology development team to develop their roadmap and technology transformation. In that perspective, you will prepare the implementation of the Product and Process changes with the operational teams in the plants, and you will interact with Volvo Group Design departments. * You will participate in our journey to achieve excellence by developing the Mack Production System in the Engineering environment. * You are expected to think out of the box to bring moon shot ideas to benefit to bring business value through innovation and technology. * As a member of our team, you'll transform data into actionable insights, support digital innovation, and help drive impactful business outcomes. Who are you? * You are part of the next generation of engineers who want to make a real difference to society. * You have a curious mind, are willing to learn and you thrive on teamwork. * You want to be part of shaping the future of production and are excited about working with innovative technology while contributing to the development of tomorrow's products. Requirements: * B.S. or M.S. degree in Data Science, Computer Science, or related Engineering Program * Graduate(d) between May 2024 and May 2026 * Maximum of two years' working experience, prior to or after graduation * Fluent in English and have an international mind-set * Strong verbal and written communication skills What's in it for you? * Competitive medical, dental and vision insurance * An opportunity to work with the latest technology * An exciting and global working environment with experienced colleagues * Opportunity to gain international experience through a short-term assignment * A variety of workshops and seminars designed to help you grow into your future career at Volvo Group * Possibility to shape your own career with endless career opportunities Compensation & Benefits * Generous paid caregiver and parental leave policies * Family building benefits, including fertility support and adoption assistance * Competitive matching retirement savings plans * A working environment where your safety, health and wellbeing come first * Programs that make today's challenging reality of combining work and personal life easier You can find more information about this program on the following link: ********************************************************************************************* At the Volvo Group, we strive for a clear, transparent, and straightforward compensation approach, motivating you to contribute to the company's growth. For this position, the base pay is set at $72,600.00 - $89,700.00 annually, and where applicable, bonus eligible. The range for this role, as well as final salary offered, is determined by several factors including, but not limited to, geographic location, work-related knowledge, certifications, skills, education, and experience. In addition to these factors, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer. In addition to a solid package of compensation and benefits, plus you will enjoy: * Competitive medical, dental and vision insurance. * Generous paid time off. * Competitive matching retirement savings plans. * Working environment where your safety, health and wellbeing come first. * Focus on professional and personal development through Volvo Group University. * Programs that make today's challenging reality of combining work and personal life easier. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran. We value your data privacy and therefore do not accept applications via mail. Who we are and what we believe in We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group's leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Operations encompasses all production of the Group's manufacturing of Volvo, Renault and Mack trucks, as well as engines and transmissions. We also orchestrate the spare parts distribution for Volvo Group's customers globally and design, operate and optimize logistics and supply chains for all brands. We count 30,000 employees at 30 plants and 50 distribution centers across the globe. Our global footprint offers an opportunity for an international career in a state-of-the-art industrial environment, where continuous improvement is the foundation. As our planet is facing great challenges, we - one of the largest industrial organizations in the world - stand at the forefront of innovation. We are ready to rise to the challenge. Would you like to join us?

* Branch Details VP, Technology Salary Range: :We are open to candidates at varying levels of experience; salary will be aligned accordingly. Compensation will be commensurate with the skills and value you bring to the team. Join the financial evolution in Manufactured Housing with auto MHatic Financial!: Backed by Private Equity (PE), auto MHatic Financial is leading the charge in revolutionizing the specialty lending industry of Manufactured Home loans. Formerly known as Tammac Holdings Corporation, our legacy spans over 40 years, during which we've proudly originated billions in loans. But that's just the beginning of our story. We're embarking on an exciting transformation, ushering in a new era of financial services. Our focus? Launching innovative products, streamlining processes through automation, and harnessing the power of technology to redefine speed, service, and solutions for our valued customers. At auto MHatic Financial, we're pioneers in our field. With instant loan decisions and a cutting-edge mobile app, we're not just adapting to change - we're driving it. Our goal? To dominate the Manufactured Homes lending space and set new standards of excellence. Ready to be part of something extraordinary? Join us as we shape the future of finance, one innovative solution at a time. Explore our exciting career opportunities today! #auto MHaticFinancial #NowHiring Summary: : The Data Engineer at auto MHatic Financial will be the driving force behind our modern data infrastructure, leading a variety of high-impact projects across cloud architecture, regulatory compliance, automation, and business intelligence. This individual will own and manage the company's entire data ecosystem, with full responsibility for ensuring data availability, scalability, security, and performance across platforms. From Snowflake to Quickbase to Encompass integrations, the Data Engineer will design and maintain the pipelines and tools that power both strategic initiatives and day-to-day operations. This role is ideal for someone who wants to be hands-on with systems and build scalable solutions that fuel growth, enhance financial reporting, and improve operational efficiency in a fast-moving lending environment. Responsibilities: * Data Infrastructure & Integration: * Own the development and optimization of our cloud-based data warehouse (Snowflake), with a focus on reliability, scalability, and governance * Lead large-scale data migrations, including the consolidation of legacy systems (e.g., MortgageFlex and AS400) into Snowflake * Automate ingestion pipelines for third-party data * Design new solutions to sync Snowflake with external platforms like Quickbase, Encompass, and compliance tools Finance & Compliance Data Engineering: Automate financial reporting workflows including Investor Reporting, Escrow Analyses, and Monthly Statements Ingest and normalize payments and receivables data from platforms like PayNearMe Build and maintain data flows for third-party insurance data into Snowflake for visibility and reconciliation Design and implement MCR and HMDA data tables in Snowflake to meet regulatory compliance and audit standards Data Governance & Quality: Standardize and clean data fields across all environments Build monitoring solutions to ensure data integrity and identify anomalies proactively Implement and enforce best practices around PII handling, data security, and audit compliance Collaboration & Delivery: Collaborate cross-functionally with stakeholders in Operations, Finance, Servicing, and Compliance to prioritize and deliver impactful data solutions Communicate data architecture decisions and trade-offs clearly to technical and non-technical audiences Qualifications: : 4+ years in a data engineering, data platform, or similar role in financial services or tech Mastery of Snowflake, including warehouse optimization, data modeling, and security practices Proficient in SQL and Python for pipeline development, transformation, and automation Familiarity with Encompass (ICE Mortgage Technology) and lending-related data structures Strong understanding of data governance, privacy, and regulatory data in a financial services environment Experience automating workflows for financial operations such as escrow, investor reporting, and receivables Comfortable building and maintaining production-grade ETL/ELT pipelines across internal and third-party systems Git version control and CI/CD experience for deploying data workflows and tracking changes across environments Excellent written and verbal communication skills, with the ability to interface directly with business stakeholders, compliance teams, and leadership Proven ability to own, prioritize, and deliver data projects independently in a fast-paced, evolving environment A collaborative mindset and eager to support business units, troubleshoot issues, and be the point of contact for anything data-related Key Competencies: Ownership Mentality:: Takes full responsibility for all data initiatives and infrastructure, acting as the go-to expert for anything related to Snowflake, data pipelines, and automations. Technical Excellence:: Brings deep expertise in SQL, Python, Snowflake, and modern data tools to build scalable, production-grade solutions end-to-end. Business Alignment:: Understands how data powers lending, compliance, and financial operations, and builds systems that directly support business outcomes. Communication & Collaboration:: Effectively translates technical concepts for non-technical teams and works cross-functionally to gather requirements and deliver results. Problem Solving & Innovation:: Anticipates issues, eliminates inefficiencies, and implements creative, automated solutions to streamline processes. Grit & Drive: :A highly motivated self-starter who tackles projects with urgency, persistence, and pride; willing to roll up their sleeves and deliver results. Benefits: Joining auto MHatic Financial comes with a range of benefits designed to enhance your work-life balance and foster a rewarding work environment. As a member of our team, you can expect to benefit from: Competitive Pay: We offer competitive compensation packages to recognize and reward your valuable contributions. Including, comprehensive benefits, such as healthcare, dental and vision insurance, and 401K.

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. Eurofins is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. The Group also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 55,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 50 countries. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. Job Description Eurofins Biopharmaceutical is looking for an Associate Scientist to support Data Review of our Biochemistry team. The Associate Scientist position is considered an entry-level opportunity that will allow for hands on development and growth in day-to-day activities supporting a laboratory setting under prescribed processes (protocols, standard operating procedures, methods, etc.). The Data Review requirement of this position will also allow for development and assignment of responsibilities that include reviewing scientific reports under CGMP guidelines, assisting with internal audits, review of scientific reports to ensure regulatory requirements have been met, data tracking and reporting. This position will provide a balance schedule to support both laboratory and data tracking operations and is seeking a potential candidate that is interested in learning both aspects within a lab setting. Employee Responsibilities and Qualifications: Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations. Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility Experience in a laboratory setting or GMP pharmaceutical setting. Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility as appropriate Good organizational skills; ability to follow direction and good communication skills are required. Strong computer, scientific, and organizational skills. Excellent communication (oral and written) and attention to detail. Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude. Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies. Qualifications Minimum Qualifications: Bachelors Degree in a LIFE SCIENCE field such as Chemistry, Biochemistry, and Biology required Authorization to work in the United States indefinitely without restriction or sponsorship Additional Information Position is full-time, Monday-Friday, 8am - 4 pm., with additional hours, as needed. Candidates currently living within a commutable distance of Lancaster, Pennsylvania are encouraged to apply. This position is NOT remote. We offer excellent full-time benefits including: comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, dental and vision options. Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer. To learn more about Eurofins, please explore our website ****************** . Eurofins USA BioPharma Services is a Disabled and Veteran Equal Employment Opportunity employer.

This role will help in the development of predictive analytics solutions. The Associate Data Scientist will work on 1-2 projects concurrently under the supervision of senior members of the Data Science team. The projects at this level will vary from small and straightforward to large and complex. Similarly, impact can range from team/department level up to organization-wide. The Associate Data Scientist provides analysis and assists in developing machine-learning models to solve business problems. Such efforts require cross-functional involvement from various disciplines across the organization. Major Responsibilities: Data evaluation and analysis: • Assist in identifying appropriate data sources to answer business question • Extract, blend, cleanse, and organize data • Visualize data • Identify (and ameliorate) outliers and missing or incomplete records in the data Model building and implementation • Participate in the identification of appropriate techniques and algorithms for building model • Create and test model • Build application and embed model Communication • Engage in best practices discussions with other team members regarding modeling activities • Discuss project activities and results with team • Help in the documentation and presentation of project stories Identify opportunities for savings and process improvement: • Collaborate with various stakeholders to identify business problems • Help conduct ROI analysis to determine project feasibility • Help build business case to solve such business problems • Other projects as assigned by the supervisor Qualifications: • Masters degree required, concentration in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or related quantitative field preferred • 1+ years experience along with a Master's degree in data or business analytics • 1 year of experience designing and building machine learning applications using either structured or unstructured datasets is required. Practical experience programming using Python, R or other high level scripting languages is required. Demonstrated experience with one or more machine learning techniques including logistic regression, decision trees, random forests and clustering is required. Knowledge and experience with SQL is preferred. • Experience in the following areas: -Machine learning (intermediate) -Statistical modeling (elementary) -Supervised learning (intermediate) -Statistical computing packages (e.g., R) (elementary) -Scripting languages (e.g., Python) (intermediate) • Ability to collect and analyze complex data • Must be able to translate data insights into action • Must be able to organize and prioritize work to meet multiple deadlines • Must be able to communicate effectively in both oral and written form • Strong communication skills required • Must have strong time management skills • Regular, predictable, full attendance is an essential function of the job • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer.

Application Dev Analyst - 87ID6E We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Overview of the role: Hartford Funds is seeking a motivated Developer to join our IT Team and support our enterprise data warehouse. This position focuses on both data management and development, using low-code ETL tools (such as Talend), SQL, and Python for data ingestion and visualization. The ideal candidate will develop effective solutions, while effectively communicating and collaborating with Business Analysts, Project Managers, and the Business Intelligence Team. Responsibilities of the role: + Conduct data profiling, source-target mappings, (low-code) ETL and/or Python development, SQL tunings and optimization, testing and implementation + Provide business and technical analysis for initiatives focusing on Data Warehouse and Business Intelligence solutions + Influence and provide input on data warehouse design with experienced-based recommendations for optimal structuring of data to support efficient processing + Develop detailed technical specifications and ETL documentation in collaboration with Data Warehouse Architect and Business Intelligence Developers Requirements: + Bachelor's degree in computer science, information technology or another computer-based discipline + 3 years' experience developing solutions with a heavy focus on data and data movement + Advanced Python skills required + Databases: Strong experience with SQL-based databases (Snowflake is a plus) required + Platforms: Microsoft / Linux required + SQL: Expertise and fluency in SQL language required + Integration Patterns: experience with various integration patterns (e.g., Flat Files, Web Services, etc.) required + Knowledge of fundamental data modeling concepts (e.g., ER Diagrams, normalization, etc.) required + Experience working with low-code tools (such as ETL platforms) + Knowledge of fundamental data modeling concepts (e.g., ER Diagrams, normalization, etc.) is required + Knowledge of data warehousing techniques (dimensional modeling / star schema, etc.) is required + Experience writing technical documentation is required + .Net / C# preferred + Snowflake / Talend preferred + Cloud platform experience (AWS/Azure) preferred + XML/XSLT experience is a plus + Must be comfortable/excited working in a fast-paced, high impact environment + Excellent troubleshooting and problem-solving skills; able to root cause and debug complex code in and efficient manner/with appropriate urgency + Ability to obtain a good understanding of the business context of a problem to ensure the solution is optimal in solving the business need Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $85,000 - $110,000 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. 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Graduate Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. **About Us** **A new era is here. Big data, automation, and additive manufacturing will change the way we look at manufacturing completely. If you are up for the challenge of developing the next generation of production plants and want to be a part of the innovative world of Volvo Group, this is the graduate program for you!** The Operations Graduate Program (OGP) is a 15-month program offering intense and exciting opportunities where you are provided a holistic view of our operational and logistics activities. You will be working with the manufacturing technologies of tomorrow, building the products of the future - electric, connected, and automated. In parallel, you will grow as a person, through individual and team development sessions. You will experience several local and international on the job-rotations and work on business-critical projects developing your competencies for tomorrow. You will take a deep dive into some specific areas of our business such as manufacturing, health and safety, quality, and continuous improvements, while also learning about the end-to-end supply chain, aftermarket parts, and our remanufacturing operations In addition, you will gather with other program participants to take part in trainings and events designed to help you grow into your future career at the Volvo Group. OGP starts in August 2026, and this position will be located in Macungie, PA. **This program does not offer current or future sponsorship. Individuals with temporary visas or who require sponsorship now or in the future are not eligible.** **What you will do** As a Digital Transformation Data Engineer, you will be developing the Manufacturing Technologies of the future in relation to Volvo Group ambitions in emerging technology. + You will support the Manufacturing Engineering Technology development team to develop their roadmap and technology transformation. In that perspective, you will prepare the implementation of the Product and Process changes with the operational teams in the plants, and you will interact with Volvo Group Design departments. + You will participate in our journey to achieve excellence by developing the Mack Production System in the Engineering environment. + You are expected to think out of the box to bring moon shot ideas to benefit to bring business value through innovation and technology. + As a member of our team, you'll transform data into actionable insights, support digital innovation, and help drive impactful business outcomes. **Who are you?** + You are part of the next generation of engineers who want to make a real difference to society. + You have a curious mind, are willing to learn and you thrive on teamwork. + You want to be part of shaping the future of production and are excited about working with innovative technology while contributing to the development of tomorrow's products. Requirements: + B.S. or M.S. degree in Data Science, Computer Science, or related Engineering Program + Graduate(d) between May 2024 and May 2026 + Maximum of two years' working experience, prior to or after graduation + Fluent in English and have an international mind-set + Strong verbal and written communication skills **What's in it for you?** + Competitive medical, dental and vision insurance + An opportunity to work with the latest technology + An exciting and global working environment with experienced colleagues + Opportunity to gain international experience through a short-term assignment + A variety of workshops and seminars designed to help you grow into your future career at Volvo Group + Possibility to shape your own career with endless career opportunities **Compensation & Benefits** + Generous paid caregiver and parental leave policies + Family building benefits, including fertility support and adoption assistance + Competitive matching retirement savings plans + A working environment where your safety, health and wellbeing come first + Programs that make today's challenging reality of combining work and personal life easier You can find more information about this program on the following link: ********************************************************************************************* At the Volvo Group, we strive for a clear, transparent, and straightforward compensation approach, motivating you to contribute to the company's growth. For this position, the base pay is set at $72,600.00 - $89,700.00 annually, and where applicable, bonus eligible. The range for this role, as well as final salary offered, is determined by several factors including, but not limited to, geographic location, work-related knowledge, certifications, skills, education, and experience. In addition to these factors, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer. In addition to a solid package of compensation and benefits, plus you will enjoy: - Competitive medical, dental and vision insurance. - Generous paid time off. - Competitive matching retirement savings plans. - Working environment where your safety, health and wellbeing come first. - Focus on professional and personal development through Volvo Group University. - Programs that make today's challenging reality of combining work and personal life easier. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran. We value your data privacy and therefore do not accept applications via mail. **Who we are and what we believe in** We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group's leading brands and entities. Applying to this job offers you the opportunity to join **Volvo Group** . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. **Group Trucks Operations** encompasses all production of the Group's manufacturing of Volvo, Renault and Mack trucks, as well as engines and transmissions. We also orchestrate the spare parts distribution for Volvo Group's customers globally and design, operate and optimize logistics and supply chains for all brands. We count 30,000 employees at 30 plants and 50 distribution centers across the globe. Our global footprint offers an opportunity for an international career in a state-of-the-art industrial environment, where continuous improvement is the foundation. As our planet is facing great challenges, we - one of the largest industrial organizations in the world - stand at the forefront of innovation. We are ready to rise to the challenge. Would you like to join us? Job Category: Product Design Organization: Group Trucks Operations Travel Required: Frequent Travel Requisition ID: 26839 **View All Jobs (********************************************* **Do we share the same aspirations?** Every day, Volvo Group products and services ensure that people have food on the table, children arrive safely at school and roads and buildings can be constructed. Looking ahead, we are committed to driving the transition to sustainable and safe transport, mobility and infrastructure solutions toward a net-zero society. Joining Volvo Group, you will work with some of the world's most iconic brands and be part of a global and leading industrial company that is harnessing automated driving, electromobility and connectivity. Our people are passionate about what they do, they aim for high performance and thrive on teamwork and learning. Everyday life at Volvo is defined by a climate of support, care and mutual respect. If you aspire to grow and make an impact, join us on our journey to create a better and more resilient society for the coming generations. **Nearest Major Market:** Allentown

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) The Lead Data Engineer will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI) and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role will be responsible for building, scaling and maintaining the compute frameworks, analysis tooling, model implementations and agentic solutions that form our core AI platform. This is a Stanford Health Care job. A Brief Overview The Lead Data Engineer will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role will be responsible for maintaining compute frameworks, analysis tooling, and/or model implementations used or created by the team. The individual will design, implement, and support data processing software and infrastructure. Locations Stanford Health Care What you will do Build end-to-end data pipelines and infrastructure for ML models used by the Data Science team and others at SHC. Understand the requirements of data processing and analysis pipelines and make appropriate technical design and interface decisions. Elucidating these requirements will require training, developing, and validating researcher-built or vendor provided machine learning algorithms on hospital data as well as working with other members of the data science team. Understand data flows among the SHC applications and use this knowledge to make recommendations and design decisions for languages, tools, and platforms used in software and data projects. Troubleshoot and debug environment and infrastructure problems found in production and non-production environments for projects by the Data Science Team. Work with other groups at SHC and the Technology and Digital Solutions (TDS) group to ensure servers and system maintenance based on updates, system requirements, data usage, and security requirements. Education Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related, or equivalent working experience Experience Qualifications 5+ years experience in building data infrastructure for analytics teams, including ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments Required Knowledge, Skills and Abilities Experience with cloud deployment strategies and CI/CD. Experience building and working with data infrastructure in a SaaS environment. Experience overseeing, developing or implementing machine learning operations (MLOps) processes. Experience mentoring junior engineers and enforcing best practices around code quality. Knowledge of multiple programming languages, commitment to choosing languages based on project-specific requirements, and willingness to learn new programming languages as necessary. Knowledge of resource management and automation approaches such as workflow runners. Collaborative mentality and excitement for iterative design working closely with the Data Science team. Physical Demands and Work Conditions Blood Borne Pathogens Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family's perspective: Know Me: Anticipate my needs and status to deliver effective care Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health Coordinate for Me: Own the complexity of my care through coordination Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $94.35 - $125.03 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.