Data scientist jobs in Deptford, NJ

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

JPA Health is a fully integrated marketing, communications and medical communications agency for clients ranging from emerging biotech to established pharmaceutical companies and public health organizations. We work exclusively within the health sector. We share our clients' commitment to making people healthier. In fact, some might say we are obsessed with improving and protecting lives. Check out our sizzle reel! The Role JPA is searching for a Life Sciences, Marketing Analytics Data Scientist, to join our Integrated Intelligence team. You'll blend analytics, applied statistics, and development to transform omnichannel marketing data into models, dashboards, and insights that fuel behavior change. You'll work across teams to design, measure, and optimize life sciences marketing programs across audiences and channels. This position is a full-time, hybrid role reporting to any JPA office (i.e., Boston, Washington, DC, Philadelphia, New York City) 2 days per week and working remotely 3 days per week. Applicants must be authorized to work in the United States without current or future need for visa sponsorship The Responsibilities Design and implement data pipelines to ingest, transform, and QA multi-source marketing data (paid, owned, earned, CRM, web, email, social, events, qualitative). Build statistical models (e.g., regression, classification, forecasting, clustering) to identify performance drivers, segment audiences, and predict outcomes. Develop fit-for-purpose marketing attribution and contribution approaches based on available data; quantify incrementality where feasible. Create dashboards and automated reporting that translate complex results into simple, visual stories for technical and non-technical stakeholders. Plan and analyze A/B and multivariate tests; estimate impact and uncertainty; recommend next-best actions and channel allocations. Partner with engagement specialists and performance analytics teams to translate insights into channel, message, and audience optimizations throughout the campaign lifecycle. Document methods, code, and data dictionaries; champion data quality, reproducibility, and privacy-aware measurement. Present findings to clients; manage timelines and priorities across concurrent projects. About You Our ideal candidate must have: Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, engineering) or equivalent experience. 3-5 years in life sciences marketing analytics, data science, or a related role within an agency or in-house team. Experience with privacy-aware measurement techniques and working within regulated industries, especially life sciences. Hands-on coding experience for data wrangling, analysis, and statistical modeling, including version control and code review practices, including working familiarity with Python, R or SQL. Strong grasp of experimental design, statistical inference, and causal thinking; able to communicate assumptions and limitations clearly. Experience building automated dashboards and reports; adept at data visualization and storytelling using tools like Tableau and PowerBI. Familiarity with omnichannel datasets and measurements across paid, owned, and earned media. Comfortable working with imperfect data and designing solutions that scale. Excellent communication skills; client-facing presence; collaborative approach with cross-functional partners. What Makes Us Different JPA Health offers you the opportunity to work with purpose as you achieve extraordinary results for our clients. You will elevate your career in an environment that thrives at the intersection of wellness, connection, and compassion. Our mission to help people live healthier lives begins with you. Our approach prioritizes compassion to ensure you and your family flourish. We promote flexibility with adaptable work arrangements for a balanced personal and professional life. Our Collaboration Days are designed to strengthen relationships and enhance well-being. Respect, inclusion, camaraderie, and connection - this is the heart of our agency's ethos. We elevate each other. We work collaboratively. And we push ourselves to think bigger. In addition, JPA Health offers: Paid time off when you need it most: 20+ days PTO, 10 holidays, Sabbatical, bereavement & compassion leave, parental leave, civic duty, volunteer time and year-end office closure. Unlimited access to LinkedIn Learning, internal webinars through JPA's Elevate Institute, tuition reimbursement, paid professional development, and paid learning and development time. An impressive and comprehensive benefits package that supports you and your family's physical, mental and financial well-being. Competitive pay and opportunities to advance. The anticipated starting pay for this role is between $107,000 and $120,000 annually, based on a variety of factors including but not limited to experience, qualifications, and location. You may also be eligible for performance-based bonuses. We review compensation annually and evaluate readiness for promotions every quarter. At JPA Health, we are committed to fostering a culture of Diversity, Equity, and Inclusion (DEI). We believe that our strength lies in the diversity of our team, and we strive to create an environment where every individual feels valued, respected, and heard. We are dedicated to promoting equity in all aspects of our work, ensuring that all employees have equal access to opportunities and resources. We are inclusive, welcoming individuals of all races, genders, sexual orientations, religions, national origins, disabilities, and ages. Our commitment to DEI extends beyond our organization, influencing the work we do and the partnerships we build. We believe that by embracing DEI, we can drive innovation, enhance our services, and contribute to a healthier society. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require an accommodation in order to apply for a position with JPA Health, please contact us for assistance at ******************.

**_At Towne Park, it's more than a job, you can make an impact._** A career with us is rewarding in more ways than one. As a hospitality services company, our commitment is to create smiles by delivering exceptional experiences. When you work with us, you have an opportunity to impact the millions of patients, visitors and guests we proudly serve. Whether providing compassionate service that eases the anxiety of a patient and their family, creating a memorable experience for a guest in a new city, or helping a colleague, every day is a new opportunity to brighten someone else's day and make an impact. When we see a customer, a client or one of our own team members smile, we know we made an impact. It's why we do what we do. Towne Park is a place where you can make a difference and create smiles every day. Click here (***************************************************************************************************************** for important notices that may be applicable to you. For more information about our privacy policy, please click here (********************************************************************************************************************** . **Job Details** **Compensation:** Towne Park is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. The annual base pay range for this position is $135,000 - $150,000. **Benefits:** Employees are eligible to enroll in medical, dental, and vision insurance, accident insurance, critical illness insurance, hospital indemnity insurance, and telemedicine benefits. Employees are provided company-paid basic life and AD&D insurance as well as short-term and long-term disability. Employees are also able to enroll in the company's 401k retirement savings plan. **Paid Time Off:** Employees accrue 0.0654 hours of PTO per hour worked up to a maximum of 136 hours per calendar year. Employees receive 6 paid holidays throughout the calendar year and employees accrue up to a maximum of 4 paid floating holidays per calendar year. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. **SUMMARY** We are looking for a Data Scientist with expertise in predictive modeling, time series analysis, and optimization techniques to support our dynamic pricing initiatives. In this role, you will build and refine models to predict parking demand and optimize pricing for commercial lots (e.g., downtown city lots) and hotel parking facilities. You will collaborate with a team of data scientists and engineers to deliver actionable insights and improve parking management efficiency across multiple locations. **ESSENTIAL FUNCTIONS** **Reasonable accommodations may be made to enable individuals with disabilities to perform all functions.** **Descriptive Statement(s)** **% of Time** Develop ML models to forecast parking demand 20% Build and optimize dynamic pricing models that adjust prices based on predicted demand and other relevant factors 20% Implement machine learning algorithms and statistical models to predict demand accurately. 20% Analyze historical data and market trends to identify patterns and inform pricing strategies. 10% Work closely with product teams and business stakeholders to deliver actionable insights and help shape business decisions. 5% Monitor and evaluate model performance over time, making improvements as needed 10% Communicate findings and insights through clear and compelling data visualizations and reports. 10% Stay up to date with industry best practices in data science and machine learning. 5% **The total amount of time for all functions of the job** **100%** **QUALIFICATIONS** **Education:** + Bachelor's or master's degree in computer science, Data Science, Statistics, Economics, Engineering, or a related field **Work Experience:** + 3+ years of professional experience in data science or a related role, with a strong emphasis on predictive modeling and optimization **Knowledge & Skills:** + Solid experience with machine learning algorithms (e.g., regression, classification, time series forecasting) and statistical techniques + Proficiency in Python (or R) and SQL + Strong knowledge of data manipulation, analysis, and visualization tools + Experience with cloud computing platforms (e.g., Azure, Snowflake, AWS, GCP) and data storage solutions (e.g., SQL, NoSQL). + Excellent communication skills, both written and verbal, with the ability to present technical concepts to non-technical stakeholders. + Strong problem-solving skills and the ability to work independently and collaboratively. + Experience building Streamlit or Shiny apps Preferred Skills (not required): + Experience with A/B testing and experimentation + Ability to write production-ready code + Experience building and deploying dynamic pricing models in production **SCOPE** **Authority to Act:** Job is fairly routine. Incumbent follows established practices and procedures. Duties are performed with specific directions given and work is checked or verified on a frequent basis. Decisions are made within specific operational instructions and departmental guidelines. Errors in judgment could affect the smooth and efficient operation of the department. **Budget Responsibility:** The employee has control over resources available only. **WORKING CONDITIONS & PHYSICAL DEMANDS** _The_ **_working conditions and physical 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._ **Physical Requirements** While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit or stand for extended periods of time and may be required to run; walk; handle or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. **Lifting Requirements** Exerting up to 50 pounds of force occasionally, and/or up to 25 pounds of force frequently, and/or greater than 10 pounds of force constantly to move objects. **Working Environment** The majority of work will be performed in climate-controlled environment, but may be exposed to inclement weather and varying degrees of temperatures on occasion. **Travel** Travel of up to 20% may be required. Towne Park is an Equal Opportunity Employer (EOE). Towne Park provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Akkodis is seeking a Lead Data Scientist for a Contract with a client in Malvern, PA. Responsible for designing advanced machine learning models and leading data-driven strategies to solve complex business problems. Rate Range: $68/hour to $75/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Lead Data Scientist job responsibilities include: * Lead the design and development of advanced machine learning models to solve complex business problems and deliver actionable insights. * Build and optimize scalable data pipelines and architectures, ensuring efficient data processing and integration for model development. * Collaborate with cross-functional teams, including engineers and business stakeholders, to translate requirements into data-driven solutions. * Perform exploratory data analysis and feature engineering, leveraging statistical and predictive modeling techniques. * Deploy, monitor, and maintain machine learning models in production, implementing best practices for MLOps and model lifecycle management. * Mentor junior data scientists and establish best practices for data science workflows, coding standards, and documentation. Required Qualifications: * Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field. * Minimum 8+ years in data science, with at least 3 years in a leadership or team lead role. * Proven experience in building and deploying machine learning models at scale in production environments. * Strong expertise in Python, SQL, and cloud platforms (AWS, Azure, or GCP), along with excellent communication and stakeholder management skills. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *****************************. Pay Details: $68.00 to $75.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Apply now: Data Scientist, location is Remote or Hybrid (Wilmington, DE area preferred). The start date is mid-to-late January 2026 for this 12-month contract position. Job Title: Data Scientist Start Date Is: Mid-to-late January 2026 Duration: 12-month contract Compensation Range: $65 per hour W2 Job Description: Join the client's R&D team as a Data Scientist focused on developing predictive models and data-driven insights for materials and formulation design. Day-to-Day Responsibilities: Collect and preprocess experimental and database-driven data Develop and optimize predictive models using machine learning Perform data mining and statistical correlation analysis Support formulation design using computer vision and modeling techniques Present findings and insights to internal stakeholders and SMEs Collaborate closely with R&D, data engineering, and business teams Requirements: Must-Haves: PhD in Chemical Engineering, Analytical Chemistry, or related field Strong Python skills for data preparation, modeling, and visualization Experience with machine learning for R&D applications Background in data mining, predictive modeling, and statistical analysis Excellent communication skills and stakeholder engagement Nice-to-Haves: Familiarity with SQL or MongoDB Experience with cloud computing (Azure preferred) Background in material science or formulation research

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.

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.

Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources Analyze data sets to identify quality issues and implement effective cleansing strategies Create and document detailed data lineage, ensuring traceability between data fields and sources Build and maintain high-quality metadata to enable data discoverability, understanding, and governance Support data integration and migration efforts as part of the industrialization process Ensure data quality, integrity, and compliance with governance policies within assigned domains Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills Three years in data management, data engineering, data scientist or related roles Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration Experience with data security, privacy regulations, and data-driven decision-making Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports Collaborative team player with experience working across business and technical stakeholders Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills Experience with advanced data visualization platforms Experience in financial services or similar regulated industries Experience with data cataloging and data discoverability platforms

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management. Job Responsibilities Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Basic Qualifications 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R) 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience designing, analysis, and refining experiments Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics Intellectual curiosity and drive, decisiveness, ambiguity and complexity Bachelor's degree required Preferred Qualifications Insurance industry experience Master's degree, or Advanced technical degree Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience of data modeling and data pipeline design Annual Salary $115,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

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.

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.

JobID: 210678919 JobSchedule: Full time JobShift: Day Base Pay/Salary: Jersey City,NJ $114,000.00-$170,000.00 Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities * Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources * Analyze data sets to identify quality issues and implement effective cleansing strategies * Create and document detailed data lineage, ensuring traceability between data fields and sources * Build and maintain high-quality metadata to enable data discoverability, understanding, and governance * Support data integration and migration efforts as part of the industrialization process * Ensure data quality, integrity, and compliance with governance policies within assigned domains * Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills * Three years in data management, data engineering, data scientist or related roles * Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues * Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets * Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration * Experience with data security, privacy regulations, and data-driven decision-making * Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports * Collaborative team player with experience working across business and technical stakeholders * Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities * Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills * Experience with advanced data visualization platforms * Experience in financial services or similar regulated industries * Experience with data cataloging and data discoverability platforms

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. *********************************************

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

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.

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.

Job Description About the Role As a Data Solutions Consultant, you will play a key role supporting multiple initiatives for enterprise and global customers. This role sits at the intersection of business, data, and technology, working closely with client stakeholders to turn complex requirements into scalable, cloud-based data solutions. You'll be responsible for gathering business requirements, defining and implementing data models, designing data pipelines, and ensuring insights are delivered to stakeholders in a clear, efficient, and impactful way. The work is performed in a modern cloud environment, leveraging AI-driven tools to improve productivity and accelerate outcomes. Key Responsibilities Partner with client stakeholders to gather, clarify, and translate business requirements Define and implement robust data models using a Medallion architecture Design and develop scalable, cloud-based data pipelines Build optimized, user-friendly reporting and analytics solutions Ensure data is accessible, reliable, and actionable for business stakeholders Contribute to innovative, AI-enabled approaches to data and analytics delivery Requirements Bachelor's degree in Computer Science, Engineering, or a related field 2+ years of hands-on experience delivering Data & Analytics projects in cloud environments Strong communication and collaboration skills with both technical and business stakeholders Strong problem-solving and analytical capabilities Proven experience designing and implementing data models in cloud-based environments (AWS, Azure, or GCP) Experience using generative AI tools to improve productivity and extract insights Strong SQL skills and solid understanding of database management systems Preferred Qualifications Master's degree in Computer Science, Engineering, or a related field Cloud or data engineering certifications Experience developing ETL pipelines using dbt

AYR Global IT Solutions is a national staffing firm focused on cloud, cyber security, web application services, ERP, and BI implementations by providing proven and experienced consultants to our clients. Our competitive, transparent pricing model and industry experience make us a top choice of Global System Integrators and enterprise customers with federal and commercial projects supported nationwide. Job Description Subject: ETL/BI/Data reports consultants Location: Philadelphia, Pa. Duration: One year plus Qualifications Experience - Must haves! 5+ years coding advanced SQL queries, ETL automation, and stored procedures to support business inquiries 5+ years of demonstrated reporting, analytical, and database experience in a dynamic business environment Advanced BI/Reporting Tool experience (SSRS) required. Experience with transforming complex datasets into relevant visualizations Familiar with relational database technology and terminology Functional Competencies SQL coding proficiency (5+ years) Microsoft Reporting Services (SSRS) - Ability to develop advanced reports, manage subscriptions, etc. Microsoft Integration Services (SSIS) - Ability to manage SQL Server ETL processes / job failures, etc. Relational database development (SQL Server, Teradata) SQL Server - Table, View & Procedure development Teradata environment experience Teradata SQL Assistant experience Excel - Charts, Pivot Tables, Equations, VBA Tableau experience a plus Oracle experience a plus Qualifications Bachelor's degree required (preferably in Information Systems, Business Intelligence, or Computer Science) with related experience, or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired. A sound technical background with the ability to analyze complex data sets, business processes, and quickly adapt to the use of new technologies. Must have excellent communication skills with the ability to share technical capabilities and work cross-functionally between business functions. Additional Information If anyone might be intersted please send resumes to kmarsh@ayrglobal (dot) com or you can reach me direct at **************