Data scientist jobs in Upper Providence, PA

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

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

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Horzianal, Bank data organization to accelerate data modernization across the bank by defining, building, and operating on a unified, resilient, and compliant Enterprise Data Platforms. Enable bank domains to produce and leverage modern data for a modern bank. The position focused on setting the technical vision, prototyping and driving the most complex data domain data architecture for the banking domains. In addition, partner closely with enterprise teams to develop highly resilient data platforms. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing solutions on AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer Philadelphia, PA: $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Wilmington, DE: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are seeking an experienced Data Scientist to join our Philadelphia team. This position will develop, test, and oversee the data infrastructure of Asylon's DroneCore systems, including data ingestion, data pipelines, data catalogs, and model learning. Due to the nature of the projects worked on in this position, applicants must be a U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees. Primary duties include: * Develop, test, and oversee data ingestion requirements, data pipelines, and data catalogs for data of different modalities, including videos, images, dense time-series data, and sparse metrics. * Develop new models to perform prediction and classification tasks, as well as refine and specialize existing models. * Spearhead the development of new data-driven, customer facing features. * Analyze collected data and produce business insights to improve Asylon processes and products. Required Skills and Experience: * Minimum of 5 years of hands-on experience in a Data Science role, with significant focus on real-time or streaming data. * Background in data science, computer science, mathematics, statistics, or related field * Data visualization * Linux * Large, distributed datasets * Creating data pipelines and catalogs * Image and video classification Preferred Experience: * Distributed systems * Cloud computing platforms (Azure, GCP, AWS, etc) * Kubernetes experience * Experience with best practices in data governance, including security, ethics, and compliance. * Leadership experience and experience building a data team * Python Job Type: Full-time Pay: $130,000 - $180,000 Schedule: * Monday to Friday * Weekends as needed Education: * Bachelor's (Required) Work Location: In person Job Type: Full-time Pay: $130,000.00 - $180,000.00 per year Benefits: * 401(k) * Dental insurance * Health insurance * Paid time off * Relocation assistance * Vision insurance Application Question(s): * Are youa U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees. Yes or No Experience: * Linux: 5 years (Required) * hands-on experience in a Data Science role: 5 years (Required) Work Location: In person

Adelphi Research | Advanced Market Research Group (AMG) About the Role Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools. You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights. What You'll Do Client Analytics & Research Execution Execute advanced statistical analyses for pharmaceutical market research studies: Segmentation analysis (cluster analysis, latent class) Conjoint analysis (discrete choice, MaxDiff) Message testing and positioning research Key driver analysis and predictive modeling Perform data cleaning, weighting, and quality control for survey data Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc. Support project teams with statistical methodology recommendations Collaborate on study design, questionnaire development, and analytical plans AI Tool Development & Innovation Contribute to building and testing R Shiny applications that enhance our research capabilities Help develop AI-powered qualitative coding tools for open-ended survey responses Test and refine chatbot interfaces that help clients interact with their data Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data) Integrate LLM APIs into existing workflows where appropriate Experiment with AI applications for research acceleration and automation Document findings, create user guides, and support internal adoption Required Qualifications Core Technical Skills Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar) OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R R Shiny development experience Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses AI Experience Evidence of hands-on experimentation with AI tools beyond consumer use. Built a small project using an LLM API (even if just a personal experiment) Created a prototype chatbot or AI-enhanced tool Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs Experimented with prompt engineering in a programmatic way Contributed to an AI-related project at work or school Foundation & Experience Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required) 2-4 years of experience in applied statistics, data science, or market research analytics Experience with survey research methodologies preferred Strong problem-solving skills and attention to detail Excellent communication skills-ability to explain technical concepts to non-technical audiences Comfort juggling multiple projects and shifting priorities Nice-to-Haves (Valued but Not Required) Domain & Methodology Experience in pharmaceutical or healthcare market research Understanding of survey design, sampling, and weighting approaches Familiarity with FDA regulations or pharmaceutical compliance considerations Background in segmentation, conjoint analysis, or MaxDiff studies Technical & Tools R package development or contribution to open-source projects Familiarity with Azure, Google Cloud, or AWS Python + R bilingual coding Exposure to Bayesian methods or probabilistic models Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it) Experience translating SPSS workflows to R Learning & Development Work directly with Senior Statisticians leading our AI initiatives Exposure to diverse therapeutic areas across major pharmaceutical clients Hands-on experience building production AI tools in a regulated industry Professional development in both traditional research methods and emerging AI capabilities Our Working Environment You'll work directly with the Senior Statisticians and collaborate with: Project teams serving major pharmaceutical clients Data science colleagues across AMG Qualitative researchers and strategic consultants We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities. Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient. To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it. The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. $90,000 - $110,000 Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice .

Adelphi Research | Advanced Market Research Group (AMG) About the Role Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools. You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights. What You'll Do Client Analytics & Research Execution Execute advanced statistical analyses for pharmaceutical market research studies: Segmentation analysis (cluster analysis, latent class) Conjoint analysis (discrete choice, MaxDiff) Message testing and positioning research Key driver analysis and predictive modeling Perform data cleaning, weighting, and quality control for survey data Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc. Support project teams with statistical methodology recommendations Collaborate on study design, questionnaire development, and analytical plans AI Tool Development & Innovation Contribute to building and testing R Shiny applications that enhance our research capabilities Help develop AI-powered qualitative coding tools for open-ended survey responses Test and refine chatbot interfaces that help clients interact with their data Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data) Integrate LLM APIs into existing workflows where appropriate Experiment with AI applications for research acceleration and automation Document findings, create user guides, and support internal adoption Required Qualifications Core Technical Skills Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar) OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R R Shiny development experience Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses AI Experience Evidence of hands-on experimentation with AI tools beyond consumer use. Built a small project using an LLM API (even if just a personal experiment) Created a prototype chatbot or AI-enhanced tool Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs Experimented with prompt engineering in a programmatic way Contributed to an AI-related project at work or school Foundation & Experience Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required) 2-4 years of experience in applied statistics, data science, or market research analytics Experience with survey research methodologies preferred Strong problem-solving skills and attention to detail Excellent communication skills-ability to explain technical concepts to non-technical audiences Comfort juggling multiple projects and shifting priorities Nice-to-Haves (Valued but Not Required) Domain & Methodology Experience in pharmaceutical or healthcare market research Understanding of survey design, sampling, and weighting approaches Familiarity with FDA regulations or pharmaceutical compliance considerations Background in segmentation, conjoint analysis, or MaxDiff studies Technical & Tools R package development or contribution to open-source projects Familiarity with Azure, Google Cloud, or AWS Python + R bilingual coding Exposure to Bayesian methods or probabilistic models Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it) Experience translating SPSS workflows to R Learning & Development Work directly with Senior Statisticians leading our AI initiatives Exposure to diverse therapeutic areas across major pharmaceutical clients Hands-on experience building production AI tools in a regulated industry Professional development in both traditional research methods and emerging AI capabilities Our Working Environment You'll work directly with the Senior Statisticians and collaborate with: Project teams serving major pharmaceutical clients Data science colleagues across AMG Qualitative researchers and strategic consultants We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities. Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient. To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it. The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. $90,000 - $110,000 Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice .

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

cFocus Software seeks a Data Scientist III to join our program supporting the Department of Defense (DoD). This position is remote. This position requires the ability to obtain a Secret clearance. Qualifications: · M.S. Degree in Electrical Engineering or Computer Engineering from an ABET accredited program, or MS Degree in one of the following fields: Computer Science, Data Science, Information Sciences, Artificial Intelligence, or Machine Learning. · Five (5) or more years of professional experience with data science. · Experience should include using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, and/or Antigravity to apply data science and/or machine learning. · Two (2) or more years of professional experience with software integration or testing, including analyzing and implementing test plans and scripts, is preferred · Active IAT Level II Certification (CCNA Security, CySA+, GICSP, GSEC, Security+CE, CND, or SSCP).

Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

Job Description Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

We are seeking a highly analytical and experienced Data Scientist Business Analyst to join our Fraud Strategy Practice. This role requires development, implementation and monitoring of fraud strategies. It involves utilizing statistical and predictive analytics, machine learning, and data visualization to design prevention strategies, provide actionable insights to business partners for strategic decision-making. Key Responsibilities: Support the development and enhancement of fraud detection strategies across various financial products (e.g., new account opening, account takeover, money movement in retail or card). Develop and tune fraud rules within platforms such as ThreatMetrix or other decisioning systems. Use data (structured and unstructured) to support fraud pattern identification and mitigation efforts. Create and maintain dashboards and reporting tools in Power BI, Tableau, or similar platforms to communicate fraud trends and strategy performance. Monitor the performance of fraud strategies by tracking KPIs such as detection rate, prevention rate, false positives, and loss capture. Conduct initial analyses and assist in root cause investigations for fraud incidents or false positive spikes. Collaborate with teams such as Fraud Operations, Product, Engineering, and external partners to gather inputs and support fraud strategy execution. Participate in validation of new rules, tools, and models to ensure alignment with fraud risk mitigation goals. Document processes, analytics steps, and findings clearly to contribute to internal knowledge sharing and reviews. Stay updated on industry fraud trends and evolving attacker techniques; share relevant learnings with the broader team. Qualifications: We are looking for someone who is passionate about solving complex challenges, thrives in a fast-paced environment, and brings a strong foundation in fraud management and analytics. Required: 4+ years related work experience in fraud strategy or fraud data science field with building strategies or models in banking industry (Retail Bank, Consumer Cards). Understanding of statistical methods, including classical statistics, probability theory, econometrics, and time-series analysis. High proficiency with data extraction and manipulation with SQL and Python. Working knowledge of Hive, Spark, AWS Sagemaker. Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred. Proven expertise in fraud rule development and strategy implementation with LexisNexis fraud solutions or comparable solutions (e.g., Actimize, etc). Strong verbal and written communication skills, especially in client-facing or cross-functional settings. Preferred Experience with ThreatMetrix rule creation and management is a big plus. Experience with machine learning is a plus. Background in consulting or client advisory roles in fraud strategy. Preferred Location: Malvern, PA (3-4 days work from office/week). Other locations open are NC / TX.

Job Description The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: Lead the development, validation, and deployment of models that evaluate and forecast player and team performance Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court Collaborate with front office and coaching staff to translate analytical findings into decision support tools Continuously iterate on existing models and infrastructure to improve performance and usability Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: 3+ years of professional experience in a data science, research, or quantitative modeling role Expertise with modern machine learning techniques Proficiency in at least one programming language, Python and SQL experience preferred Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an “at will position”, the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: Medical/Dental/Vision/Flexible Spending Accounts Pretax Transportation Benefit Generous Parental Leave policies 401K (with a company match after 1 year of service) Generous Paid Time Off policies 13 Paid Holidays ½ Day Summer Fridays Complimentary or Discounted Sports & Concert Tickets On Site Fitness Rooms Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. WHO WE ARE:Founded by Josh Harris and David Blitzer, Harris Blitzer Sports & Entertainment (HBSE) includes in its portfolio the Philadelphia 76ers, the New Jersey Devils, Prudential Center in Newark, N.J., the Delaware Blue Coats, the Utica Comets and a variety of other sports and entertainment properties. Led by some of the best and brightest minds in the industry, HBSE positions itself as a pioneering and innovative global sports and entertainment business enterprise. We also strive to positively impact the local communities in which we operate through the powerful platform of sports. HBSE offers an energetic work environment built on collaboration, growth and a quest to excel in everything we do. HBSE owns the NBA's Philadelphia 76ers, one of the most storied franchises in American sports, having won three championships led by some of the most iconic athletes in NBA history. As part of its portfolio, Prudential Center in downtown Newark, N.J. annually hosts more than 200 games, concerts, family shows and special events and is a top-5 ranked sports and entertainment venue in the U.S. by Pollstar and Billboard. It is home to the New Jersey Devils, a renowned NHL franchise with three Stanley Cup championships and a proud, passionate fan base. OUR COMMITMENT TO INCLUSION:At HBSE, we are dedicated to hiring the best talent from the communities where we live, work and play - across all groups and levels; supporting and developing every employee to reach their potential; and creating an inclusive environment that allows team members to bring their true authentic selves to work. POSITION OVERVIEW:The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: Lead the development, validation, and deployment of models that evaluate and forecast player and team performance Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court Collaborate with front office and coaching staff to translate analytical findings into decision support tools Continuously iterate on existing models and infrastructure to improve performance and usability Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: 3+ years of professional experience in a data science, research, or quantitative modeling role Expertise with modern machine learning techniques Proficiency in at least one programming language, Python and SQL experience preferred Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS:The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an “at will position”, the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: Medical/Dental/Vision/Flexible Spending Accounts Pretax Transportation Benefit Generous Parental Leave policies 401K (with a company match after 1 year of service) Generous Paid Time Off policies 13 Paid Holidays ½ Day Summer Fridays Complimentary or Discounted Sports & Concert Tickets On Site Fitness Rooms Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit *********************************** The Population Analytics and Insights, a part of Data Science and Digital Health at Johnson & Johnson Innovative Medicine, is recruiting a Senior Scientist to work on drug target identification/evaluation in Neuroscience therapeutic area. The primary location for this position is Spring House, PA, USA. No remote option is available for this position. The Data Science Analytics & Insights team develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and self-driven scientist who will work on analyzing large-scale genomics data to strengthen our research capacity in disentangling the molecular drivers of neuropsychiatric conditions aimed at pushing the boundaries of data-driven drug discovery using the cutting-edge computational and algorithmic tools. KEY RESPONSIBILITIES: This position is defined on two main contexts: (a) Neuropsychiatric conditions 1) identify genetically-driven therapeutic targets leveraging a wealth of biobank scale data such as genetics, proteomics and other omics data modalities (2) precision stratification of patients and characterize genomic manifestations of disease subtypes using a wide variety of large-scale biological data and computational methods; (b) on-target toxicity/liability assessment of neuroscience-related target genes using omics data and network-based models. The Senior Scientist will work closely with a team of scientists in disease genetics, computational genomics, AI and machine learning as well as neuroscience therapeutic area to design and implement computational pipelines, analyze and interpret the results, and communicate the findings through internal presentations, conferences and scientific publications. The senior scientist will also have opportunities to collaborate with other researchers and institutions on related projects: Conceive, develop, and implement analytical solutions to high-priority scientific projects. Continuous engagement and participation with scientists across JnJ to foster scientific collaborations and building a carrier network. Analyze the large-scale genetics, proteomics, and other omics data modalities using the advances statistical and computational methods. Publish findings in top-tier journals and conferences. QUALIFICATIONS: The successful candidate will have a strong background in bioinformatics, computational biology, or related fields, with experience of working with large-scale genetics data e.g. SNP array, WES/WGS and multi-omics data e.g., proteomics, transcriptomics etc. A Ph.D. in a quantitative field - Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, Computer Science, or related fields. 2-3 years of postgraduate scientific experience. A strong publication record in the relevant areas is required. Proficient in programming languages such as R/Python, bash, SQL, etc. Experience with multi-omics data integration, especially network analysis. Experience/knowledge of psychiatric conditions such as schizophrenia and bipolar disorder is a plus. Experience with bulk/single-cell transcriptomics, epigenomics, and proteomics is preferred. Excellent written and oral communication skills, and ability to effectively communicate technical findings with stakeholders. Ability to work independently and as part of a team. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (********************************) or contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : $109,000 - $174,800 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

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

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

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

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities * Review, prepare and/or certify client projects and ensure accurate client deliverables including: * Actuarial valuations and reports * Benefit statements * Plan documents, amendments, employee communications (SPDs, etc.) * Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) * IRS determination filings and PBGC (Form 500 series) termination submissions * ASC 715/960 * Perform and review combined plan non-discrimination testing * Answer technical questions posed by staff * Research the Internal Revenue Code and other technical resources to resolve client issues * Provide technical training for staff * Provide back up to other teams as necessary * Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. * Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. * Assist with other tasks and projects as assigned Supervision * N/A Section 3: Experience, Skills, Knowledge Requirements * Bachelor's degree in actuarial science, math or math related field * Enrolled Actuary designation with 5 years industry experience * Advanced understanding of: * Pension law * Plan documents and IRS favorable determination letters * Actuarial valuations and software systems * Excellent technical/analytical skills * Ability to research technical issues * Ability to explain technical issues to all levels of associates * Good verbal and written communication skills * Demonstrated expertise with Microsoft Office, particularly Excel applications * Demonstrated expertise with industry recognized pension valuation software * Detail and accuracy oriented * Good time management skills * Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").