Data science internship jobs in Phoenixville, PA

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 an intern at Perpay, your main responsibility is to learn. We understand the value of mentorship and offer students an opportunity to gain real work experience before graduation. In the 10-12 weeks we'll be together next summer (2026), you will have the opportunity to leverage our expansive data sets to research, identify and build features to train models and drive real impact. Applying your knowledge of topics such as modeling, statistical methodologies, and exploratory data analysis you will partner with business leaders and communicate solutions designed to drive company growth. You will also have the opportunity to think proactively and futuristically to identify opportunities to contribute to our long-term roadmap for Data Science. All while developing the skills to succeed in a fast-paced tech start-up environment and experiencing and contributing to our unique culture. Our greatest strength is our people and we'd love for you to be one of them! What You'll Bring: Currently enrolled in or will receive a Bachelor's in Data Science, Computer Science, Computer Engineering, Information Systems or an equivalent technical discipline with an expected graduation date between winter 2026 - summer 2027 Knowledge of machine learning and statistical research Experience using SQL for acquiring and transforming data Proficient in programming, analysis and visualization using object-oriented programming languages (Python preferred) Experience with object-oriented programming languages (Python preferred)) Bonus: Enrolled in a Master's Degree or advanced technical degree Previous work experience in a technical field Experience with implementing machine learning solutions to production environments Understanding of modern scalable data science platforms Hey, we know not everybody checks all the boxes, so if you're interested, please apply because you could be just what we're looking for! What We'll Bring For Internship: Hourly compensation Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials One of a kind office with comfortable work/lounge spaces and pleasant riverfront setting Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech working cross functionally. 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.

FMC Corporation is a global leader in agricultural sciences, driven by our purpose: Innovation for Agriculture. Solutions for the Planet. We are passionate about the power of science to solve agriculture's biggest challenges. With one of the most productive and diversified pipelines in the industry, FMC is delivering cutting-edge and next-generation crop protection technologies - including Dodhylex™ active, Isoflex™ active, rimisoxafen, and fluindapyr - to help farmers increase the productivity and resilience of their land. Our employees are at the heart of this innovation. We're looking for bold thinkers and collaborative doers. At FMC, your ideas matter. From day one, you'll contribute to meaningful work that drives progress in agriculture, supported by a culture that values integrity, safety, respect, and results. Join us in advancing the future of agriculture. Together, we're building a more resilient planet - one innovation at a time. We are seeking a motivated Data Analyst Intern to join our growing team. In this role, you will collaborate on defining business requirements, designing technical solutions, performing data transformation, and creating analytics visualization (e.g., Power BI dashboards) and charts to tell comprehensive data stories that inform and enhance business leaders' ability to drive value. This is an exceptional opportunity to gain hands-on experience in enterprise-level data analysis while contributing to meaningful projects and business decisions. FMC is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all individuals are treated with respect and dignity. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status. Employment decisions at FMC are based on business needs, job requirements, and individual qualifications. We value diversity and strive to ensure that our hiring and employment practices support a work environment that is free from discrimination and harassment.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description The Software Data Analyst will be joining the Team, builder of an enterprise-wide cloud-based software platform providing the core content navigation and discovery services,customer facing web, mobile, and set top box applications. These services include content metadata management, data quality, search, browse, recommendations, customer entitlements, customer identity and authentication, personalization and voice recognition/control. The Software Engineer will specifically be joining the triage group to field issues involving content from a customer perspective and internal teams. T They will ensure data is accurate and either resolve or escalate any issues. 1) The main thing is finding a resource who is passionate about technology and likes to learn. 2) Any experience with "data" is preferred - quality, analysis, scrubbing, finding defects, trends, etc. 3) Problem solving ability is key - their thought process on how they think through a problem. 4) Analytical skills - like to figure out how stuff works, reverse engineering, or just a plain old "figure it out" attitude. Job Details: • Supports triage of code defects and cross-team evaluation of current trends in process deficiencies • Work with developers to ensure issues are escalated to the correct teams for resolving • Troubleshooting data issues related to on-screen content • Finding the root-cause of issues through internal teams that affect customer applications • Improving overall customer experience Qualifications Required Skills: (3-5 years) • SQL knowledge is a plus • Basic UNIX or Linux skills - understanding command line are a plus • Excellent communication and problem solving skills • Experience in a production support environment preferred • Basic scripting - Python, Perl, or PHP experience is preferred •Communication, Problem Solving, Data Querying •Production Support experience is a plus, however really what client need is a bright person who can intelligently / efficiently speak the language of both the end user and the developer. Additional Information For More information, Contact: Siva Kumar ************ ****************************

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

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.

Must Have Technical/Functional Skills * Strong experience in SQL and working with relational databases (e.g., SQL Server, PostgreSQL). * Proven ability to analyze complex stored procedures and extract business logic. * Experience creating source-to-target mappings and data flow documentation. * Solid understanding of financial and actuarial data, including claims, premiums, reserves, and forecasts. * Familiarity with data quality frameworks and issue resolution techniques. * Excellent analytical, problem-solving, and communication skills. * Ability to work independently and manage tasks in a remote, distributed team environment. Roles & Responsibilities * Analyze and understand existing stored procedures to reverse engineer business logic and data flows. * Create and maintain Source-to-Target Mapping (STTM) documents for data integration and transformation processes. * Investigate and resolve data quality issues, including root cause analysis and recommendations. * Perform data profiling and validation to ensure accuracy and completeness of financial and actuarial datasets. * Collaborate with data modelers, developers, and business analysts to support data requirements and reporting needs. * Document business rules, data definitions, and transformation logic clearly and accurately. * Participate in daily stand-ups or sync meetings during onshore-offshore overlap hours. TCS Employee Benefits Summary: * Discretionary Annual Incentive. * Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. * Family Support: Maternal & Parental Leaves. * Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. * Time Off: Vacation, Time Off, Sick Leave & Holidays. * Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range : $105,000-$125,000 a year

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

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.

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 .

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).

The job of Data Analyst/Programmer was established for the purpose/s of providing support in all aspects of Child Accounting and PIMS to DCIU and/or DCTS and district personnel. Keeping student information up to date and accurate for billing, compliance, state and federal reporting purposes. Creating, maintaining, and supporting various databases, multiple software applications and writing custom reports utilized by the organization. ESSENTIAL FUNCTIONS * Compile and maintain a wide variety of information, files and records (e.g. enrollment process; instructional schedules; year-end roll-over of related systems, grading, attendance, etc.) for the purpose of ensuring the availability of documentation and compliance with established policies and regulatory guidelines. * Communicate with internal and external clients for the purpose of understanding and resolving client needs and issues. * Coordinate all database activities (e.g. Student Information, Applications, Enrollment, Parent Portal, Scheduling, Attendance, Grading, PIMS, PaSecureID, etc.) for the purpose of tracking participation, compliance and issues. * Perform other related duties as assigned (e.g. analyzing and problem solving daily) for the purpose of ensuring the efficient and effective functioning of the work unit. * Maintains a variety of systems and processes (e.g. Student Information System, Special Education System, Application System, Parent Portal, Scheduling, Grading, PIMS, etc.) for the purpose of ensuring accuracy. * Develop web-based data collection tools and training materials for various processes (e.g. PIMS, Enrollment, Scheduling, etc.) for the purpose of collecting data in a consistent manner throughout the organization. * Work with outside vendors to coordinate software releases, training and updates for the purpose of keeping software up to date and compatible with our network. * Design custom reports and new databases to meet users' needs and support the organization. * Maintain modify, and support various databases (e.g. School Age, Early Intervention, Options, etc.) for the purpose of keeping them current and applicable for the intermediate unit. * Work with outside vendors to coordinate software releases, training and updates for the purpose of keeping software up to date and compatible with our network. * Attend user group meetings and state conferences (e.g. ACAPA, EPAITDM, etc.) for the purpose of keeping current on state requirements. * Research assigned topics (e.g. current practices, policies, education codes, etc.) for the purpose of providing information that address school operations. * Provide orientation, train, mentor and support departments regarding procedures and program requirements (e.g. software and concepts; databases; daily activities) for the purpose of ensuring efficient processing in compliance within department and district policy and established regulatory guidelines. * Create and maintain user accounts/access to various systems/platforms. * The employee will be required to perform any other position-related duties requested by the supervisor. Education Required: Associates and/or Vocational School degree with study in job related area or equivalent work experience. Certification Required: Successful completion of PIMS DQC Track by the end of the 1st year of employment. Prefer: * Entry Level PIMS Administrator DQC Certificate * Bachelor's degree in information technology or related area is preferred Experience Required * Excellent verbal communication and problem-solving skills. * Minimum of two (2) years of related experience. * Computer skills including Microsoft Word, Excel, Outlook, and Internet. * Interpersonal skills: ability to foster teamwork and motivate/coach others. * Make optimum decisions under pressure and time constraints. Other Qualifications * Teamworking skills to collaborate with team members and customers. * Time management and organizational skills to manage various tasks and meet a deadline. * Excellent attention to detail. * Ability to relate to and function effectively with people of varying backgrounds and positions. * Ability to communicate effectively and possess a positive and professional attitude toward duties and responsibilities.

Summary: The Intern for the Data Analytics and Underwriting Team is responsible for performing detailed consultative reviews of the health and welfare plans for prospective and/or existing clients. Focuses on analysis of plans and other financials, budget forecasting, plan modeling, contribution analysis, conducting trend and cost analysis of claim history. The Data Analytics Team supports the client facing consulting teams and the new business sales team in performing the analytical services noted throughout. Principal Responsibilities: Perform detailed consultative review of prospective/existing clients' health and welfare plans, including medical, pharmacy, dental, life, disability, long term care, re-insurance, voluntary plans. Review to include performing detailed gap analysis for all coverages, examining cost and policy data, plan design strategies, budget forecasting followed by detailed recommendations and corrective action steps for prospective/and or existing clients. Work with the new business production team in the consultative review process. Interface with the prospective client in data collection. Prepare recommendations and presentations to support the RFQ/RFP process for new business. Work with Consultants and Associate Consultants to analyze and negotiate rate renewals and year-end financials on behalf of clients. Responsible for proactive preparation for renewal negotiation process through detailed analysis of client objectives, performing claims experience and benchmarking analysis and identifying and introducing market trends to provide clients with an understanding and justification of renewal action. Prepare recommendations and presentations to support the RFQ/RFP process for renewal business. Assist with project analysis work related to current clients. This may include but is not limited to claims analysis, trend and utilization analysis, IBNR and reserve studies, lag analysis, vendor discount reviews and other special on-going data projects requests that may arise on client business Manage and perform benefit cost modeling projects using the BeneFuture tool. Utilize the data results for clients using the BeneView data warehouse. Manage and be engaged with the pharmacy coalition and preferred re-insurance terms. Assist the consulting staff in the proper usage of these features and be engaged in the monitoring and analysis of the continued effectiveness of the tools. Requirements: Exceptional organization and customer service skills. Excellent interpersonal, analytical, written and verbal communication skills. Must be an enthusiastic self-starter, flexible, able to multi-task and delegate or handle responsibilities with minimal supervision. PC proficiency , MS Office (Word and Excel) a must. Working Conditions Office environment with moderate noise level; able to work flexible hours and travel to other Conner Strong buildings and client work sites on a regular basis. Effective June 1st, 2026, the pay rate for this role is $25 per hour. Conner Strong & Buckelew is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, affectional or sexual orientation, gender identity or expression, national origin, ancestry, nationality, age, disability (physical or mental) , marital or domestic partnership or Civil Union status, pregnancy, family medical history or genetic information, atypical cellular or blood trait, military service or any other status protected by law.

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.

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Start Date: June 8, 2026 End Date: August 14, 2026 Location: Conshohocken, PA Primary Responsibilities: * Responsible for collecting, documenting, and confirming business requirements and functional specifications. * Works in close collaboration with business partners and developers to ensure consistent understanding of business processes and requirements. * Defines, develops, and delivers test plans and associated test case scenarios. Establishes effective relationships with other ABC and IBM IT departments; builds and maintains effective business partner relationships. * Assists with tasks and deliverables related to System Development Life Cycle phases for package and custom solutions * Attends and participates in user and project meetings and teams to expand knowledge, as a participant and not in a lead capacity; facilitates project status meetings; tracks project status. * Investigates and documents project issues and detailed requirements Frequently interacts with IT staff including business area management, portfolio managers, vendors, consultants and other contractors. * Must be willing to travel up to 35% of the time. Experience and Educational Requirements: Currently pursuing a Bachelors degree Must not require sponsorship to work in the US now or in the future Minimum Skills: * Excellent discovery and active listening skills * Good interpersonal skills * Good relationship building skills * Ability to communicate effectively both orally and in writing * Good group presentation skills * Good analytical and problem solving skills * Good mathematical skills * Good organizational skills * Good leadership skills * Good staff development skills * Knowledge of computers to operative effectively with computer hardware such as general mainframe, midrange, network and desktop technologies; computer software includes application development lifecycle, MS Office Suite and Outlook What Cencora offers We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit ************************************** Full time Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call ************ or email ****************. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned Affiliated Companies Affiliated Companies:

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details Cencora's leading Internship Program is a 10-week opportunity, spanning multiple functions throughout the organization. The program is designed to help you take your leadership abilities, academic achievement, and business skills to the next level. As interns, students lead innovation by working on impactful projects that influence the future of healthcare support and delivery. This program aligns with Cencora's commitment to fostering talent and contributing to the growth of the pharmaceutical industry. Start Date: June 8, 2026 End Date: August 14, 2026 Location: Conshohocken, PA Individuals in the SAP Business Solution Analyst Intern role are responsible for serving as a liaison between the business community and the IT organization. They collect, analyze, develop, document, communicate business requirements, and support user testing to achieve business goals. Business Analysts continually seek opportunities to increase customer satisfaction, deepen client relationships, and effectively manage customer expectations. Based on breadth and depth of understanding of business needs and processes, they collaborate with IT professionals to determine if solutions currently exist or whether new solutions are feasible. They establish and maintain relationships with Business stakeholders and technical teams to define requirements, design, develop, test, and implement appropriate solutions within the SAP landscape to effectively meet business requirements. Responsibilities: Establishes and maintains liaison relationships with business partners and IT organizations in order to provide effective solutions Provides assistance in business case development (i.e., research, data collection) Assesses business needs utilizing a structured requirements process (gathering, analyzing, documenting, and managing changes) to assist in identifying business priorities and advising on options Develops, writes, and communicates business requirements and functional specifications for the implementation of business solutions Collaborate with various IT teams and different systems like AB Force, Vendavo, SAP ATTP, PKMS Warehouse management to learn and support different IT functions Opportunity to learn and work in SAP applications like SAP ECC, SAP S/4HANA Analyzes business operations to identify strengths and weaknesses to determine opportunities for improvements Assists in the business process redesign and documentation as needed for new technology Develops user test cases and system integration testing and validates test results during testing Ensures test strategies involve appropriate integration and process components Reviews and approves test plans and monitors the testing process to ensure that business results are adequately tested with minimal risk Executes test cases, documents defects, and works with the application development team to resolve them Investigates production issues and develops recommendations for resolution Identifies the need for technical assistance to help with problem resolution Keeps business informed of problems, issues, and resolutions Analyzes performance metrics to ensure business satisfaction Ensures IT solutions meet business needs and manage end-user expectations May meet regularly with team to gather work statuses Provides advice, guidance, encouragement, and constructive feedback Ensures work, information, ideas, and technology flow freely across teams Generates appropriate communication, process, and educational plans for mitigating the disruption of change Experience and Educational Requirements: Currently enrolled in undergraduate school with an upcoming completion of a bachelor's degree. Must not require sponsorship to work in the US now or in the future. Minimum Skills, Knowledge and Ability Requirements: Strong analytical, problem-solving, and multi-tasking skills Understanding of all aspects of a full application life cycle implementation Strong communication and interpersonal skills, with the ability to relate well and cooperate with others to effectively coordinate activities and accomplish goals Ability to research and assess potential solutions in support of new business requirements Ability to analyze and provide effective problem solving, assessing whether standard functionality can be used and identifying reasonable custom solutions where needed Ability to remain effective and productive in a fast-paced and changing environment What Cencora offers We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit ************************************** Full time Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call ************ or email ****************. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned Affiliated CompaniesAffiliated Companies:

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.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.