Data science internship jobs in Philadelphia, PA - 188 jobs

Title: Data Analyst - Actuarial Support Reports To: VP, Actuary Department: Actuary Classification: Full-Time/Exempt Who We Are: Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart. Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace. Position Overview: The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program. Essential Job Functions: Collaborate with cross functional teams to improve data and automate reports where appropriate. Use analytics to spot trends, dependencies, and patterns. Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness. Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation. Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization. Qualifications: Degree in Business, Computer Science or another related field. A minimum 2 years of P/C insurance experience is preferred. Strong analytical and problem-solving skills as well as solid oral and written communication skills Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages. ORI is an Equal Opportunity Employer. ORI 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.

Job Description About Us: Perpay is a certified B Corp and Philadelphia's most impactful growth-stage startup. We are driven by a mission to significantly improve the financial stability of everyday Americans. For the past decade, we have established strong product-market fit and a profitable, efficient operating model across a suite of products, positioning Perpay as the premier financial partner for consumers with subprime credit. With over 500,000 customers who have utilized more than $1 billion in spending power, we are at a pivotal moment. We are scaling our operations, building new offerings, and deepening our impact. We are looking for teammates eager to join us on this journey. Our venture partners include First Round Capital and L Catterton. 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. Our team thrives on in-person collaboration, operating from our unique center-city Philadelphia office. This comfortable "home away from home" space offers river views and fosters rapid product development, strong relationships, and career growth. The energy from achieving big wins is palpable here. While we primarily work in the office, we offer sensible flexibility for personal needs, such as sick children or urgent errands, and coordinate official remote weeks around major holidays. If you are passionate about a meaningful mission, collaboration, equity, and generous perks, Perpay is the best place to be in Philadelphia right now. 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 to Full-time Team Members: Meaningful compensation and equity Premium medical benefits (fully paid base plan, and very reasonable premium for the buy-up option) 4% employer 401k match Unlimited PTO policy Remote weeks around major holidays + extra holiday on weekends like MDW and LDW High quality catered lunch by local chefs, 3 days / week Gym subsidy Paid cell phone + plan Student loan repayment program Relocation assistance Generous team member discounts This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1) Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at careers@perpay.com to request accommodation.

About Us: We believe everyone deserves a chance to improve their financial future. We're dedicated to building simple and inclusive financial products that help our members create healthy habits and achieve economic stability. The Perpay team is a motivated group of creative problem solvers who love getting things done and making an impact. Located in Center City, Philadelphia, our one-of-a-kind space promotes a collaborative work environment, unites our team, and feels like a home away from home. As a certified B Corp, Perpay is committed to building a mission-driven culture that balances purpose and performance - Learn more. Some things we're excited about: $500 million in spending power used by our members Increasing members' credit by 32 points (on average) within the first 3 months Backed by First Round Capital and JP Morgan Products we've built to make an impact: Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior. Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus. Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds. About the Role: As 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.

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 ************ ****************************

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

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 7. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 8. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are PEAC Solutions-large enough to finance the globe, yet small enough to stand shoulder-to-shoulder with our customers. We believe in the power of partnership and the promise of possibility. Our purpose is to fuel growth by providing smart, flexible lending solutions that help businesses overcome obstacles and seize new opportunities. Backed by HPS Investment Partners, a leading global investment firm, we offer equipment financing, working capital, and inventory lending solutions that keep businesses moving forward. As the world's largest independent equipment finance company, we are expanding our global footprint-and we are doing it with purpose, grit, and a commitment to those we serve. You are someone who thrives in an environment where ambition meets action. You bring curiosity, resilience, and a strong sense of accountability. You see challenges as opportunities and believe in making an impact on customers, for your team, and for the business. If you are looking to be a part of a company that values partnerships over hierarchy and purpose over routine, your next chapter could start here. The Data Scientist supports the design, development, and implementation of analytical and statistical solutions that drive operational efficiency, customer experience improvements, and business growth. This role blends technical analytics with practical application, translating insights into actions that enhance performance across processes, products, and customer interactions. The ideal candidate is analytical, curious, and eager to connect data-driven findings to real-world business outcomes. Essential Functions: * Contribute to the development, testing, and implementation of predictive and statistical models that support risk management, operational decisioning, and customer engagement strategies. * Translate complex analytical findings into actionable recommendations that improve operational performance, service delivery, and customer satisfaction. * Partner cross-functionally with business, risk, sales, and operations teams to embed analytics into workflows and decision tools. * Conduct data exploration, segmentation, and root cause analysis to identify performance drivers and optimization opportunities. * Support automation and process improvement initiatives through data modeling, scorecard development, and decision logic refinement. * Participate in monitoring and validation activities to ensure models and reporting tools maintain accuracy, fairness, and business relevance. * Create clear documentation of model assumptions, methodology, and governance requirements. * Present quantitative insights in accessible ways to non-technical stakeholders, enabling better business and customer outcomes. * Contribute to innovation by testing new modeling techniques, analytical frameworks, and data visualization methods. Qualifications: * Bachelor's degree required in a Quantitative field (Economics, Statistics, Mathematics, Data Science, Industrial Engineering, etc.). * 2-5 years of experience in data science, analytics, or statistical modeling, preferably within financial services, lending or customer analytics. * Experience with SAS, SQL, R, or Python for statistical analysis and modeling. * Proficient in MS Office and Excel. * Strong analytical, problem-solving, and critical-thinking skills with the ability to connect technical insights to operational and customer outcomes. * Solid understanding of statistical modeling techniques and their business applications. * Effective communicator able to translate data into meaningful narratives for business partners. * Strong organizational skills with attention to detail and the ability to manage multiple priorities. * Excellent written and verbal communication skills, with the ability to collaborate across teams and present findings clearly. PEAC Solutions is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, 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. The successful candidate will receive competitive compensation along with our benefit package which includes medical, dental, vision, life insurance, short and long-term disability, 401(k) with match, flexible spending, and paid time off. PEAC provides one paid day off per year to support community involvement. Celebrate you by also having off your birthday on us!

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

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.

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.

We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

VTS3 is a Veteran-owned and operated company which provides full-service Recruiting, Talent Search, Staffing, and IT Professional Services. For more information visit ************* Job Description We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

Job Description American Heritage Credit Union, a $5+ billion credit union, has an immediate opening for a Fraud Data Analyst. This position will assist the Enterprise Risk and Compliance team in preventing fraud and managing losses to mitigate their effects on the credit union and its members. Provide analytic and project support to the ERM department for the advancement of controls and mitigation of risk by organizing, analyzing, and drawing conclusions from volumes of data to identify fraud trends by leveraging multiple technologies and working across verticals to help design mitigation strategies. Responsibilities Include: Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud. Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards. Perform detailed research and investigation on alerts that are generated for potential fraud schemes. Work closely with variety of cross-functional teams to analyze suspicious activity and provide mitigation recommendations. Build and maintain tools and/or processes to collect and track data and troubleshoot errors. Develop and maintain processes and documentation to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated. Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud Program. Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management. Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions. Conduct research, work independently, and make complex investigation decisions. Develop strategies for the prevention and/or detection of internal and external fraud. Support development of new fraud tools, processes, and third-party provided services. Work closely with third-party providers to promptly implement, update, and make changes to fraud preventive rules. Interpret data, analyze results using analytics, research methodologies, and statistical techniques. Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders by creating reports, specifications, instructions, and flowcharts. Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirement documentation to design and execution. Respond to fraud alerts by notifying members, restricting cards or other account privileges, and closing accounts. Investigate claims of fraud against the member and credit union by following governing regulations, policies, and procedures when gathering evidence and information. Assist with subpoenas and legal requests and provide timely and accurate evidence to law enforcement agencies. Assist with the processing of fraudulent items by gathering information and presenting documentary evidence in an accurate and timely manner; Work with members to define and eliminate future fraudulent transactions. Assist the ERM team with the timely preparation of Fraudulent Check Crime Reports, Bad Check Reports, and Fraudulent Credit Card Reports. Assist with performing collection activities as needed on suspected or potentially fraudulent accounts; Track losses resulting from fraudulent transactions within the case management system. Assist the ERM team with any investigations requested at the direction of the AVP of Fraud Investigations. At the direction of the AVP of Fraud Investigations, assist branch staff and other departments throughout the credit union with resolving questionable activity on member accounts. Assist with implementing corrective action procedures as necessary to ensure compliance with policies and procedures and to avoid future compliance issues. Participate in establishing and maintaining professional business relationships with regulatory agencies, auditors, appraisers, and business associates including legal and law enforcement. Assist with prompt resolution of complaints, questions, and problems. Maintain awareness of new fraud techniques and security developments for counteracting fraud. Remain informed of trends and developments in loss and fraud issues and loan reviews. QUALIFICATIONS: One to three years of similar or related experience using advanced data mining tools and large datasets, performing statistical analysis, and conducting predictive modeling. Financial institution experience and industry knowledge required. Equivalent to a college degree (BS or BA) preferably in a quantitative field (Finance, Risk, Mathematics or Statistics) or the equivalent combination of education and experience in Fraud Prevention. Experience with analyzing Payment Data, ACH/Wire data, Fraud data, Financial Crime data. Experience in performing trend and detect analysis and building reports. Significant experience with relational databases, scripting languages, and database concepts. Knowledge of risk management and control principles. Working knowledge or the ability to learn and understand credit union products and services. Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy. Problem-solver with a strong analytic mindset, competent in research and problem resolution. Reliable and thorough with a deep commitment to quality and accuracy; Keen eye for details and exceptional analytical, planning, organizational and problem-solving skills. Considerable judgment is required. Must be able to analyze complicated factual situations, apply functional principles and develop solutions. Ability to understand broader business issues, objectively analyze data and information to form a big-picture view of risk. Creativity and ability to be data-driven and aggressive in delivering results required. Self-motivated with proven ability to work independently under minimal supervision, prioritize issues, work within ambiguity, and manage tight deadlines. Must be available for rotating weekend hours Must be available to work in office at the Neshaminy Interplex office. Our commitment to your success is enhanced by our competitive rate commensurate with experience and an extensive benefits package including paid time off, health benefits, 401(k) with a generous escalating company match, and future growth opportunities within the company. We work to maintain the best possible professional and environmentally friendly atmosphere for our employees. EOE M/F/D/V

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.

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.

Stateside Brands is a rapidly growing spirits company dedicated to crafting premium-quality beverages- Surfside Iced Teas and Lemonades, Stateside Vodka, and Stateside Vodka Sodas. With a focus on innovation and quality, we take pride in our diverse portfolio of products that reflect our commitment to excellence. Job Summary The Data Analyst Intern will play a key role in supporting business functions through data analysis, reporting, and process improvement. You will work with large datasets, assist in data validation and visualization, and collaborate across teams to enhance decision-making. This role provides an excellent opportunity to gain hands-on experience in data analytics while contributing to strategic initiatives. Key Responsibilities Work with large datasets in Excel to analyze trends and generate reports. Assist in data cleaning, validation, and visualization to support decision-making. Provide administrative support across various tools and software programs used within the company. Support ad-hoc reporting and analysis requests from multiple departments, including Sales and Supply Chain. Collaborate with team members to improve data processes and workflows. Present findings and insights in a clear and actionable manner. Required Qualifications: Currently pursuing a degree in Data Analytics, Business, Statistics, Economics, Computer Science, or a related field. Strong proficiency in Excel; experience with SQL, Python, or Power BI is a plus. Analytical mindset with attention to detail and problem-solving skills. Ability to work collaboratively in a fast-paced environment. Strong communication skills to present data insights effectively. Preferred Qualifications: Experience working with large datasets and data visualization tools. Familiarity with data cleaning and validation processes. Prior internship or project experience in data analytics or business intelligence. Military experience is a plus. Compensation $15-$17 USD per hour Stateside Brands is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, gender, genetic information, national origin, disability, uniform service, veteran status, age, or any other classification protected by Federal, state, or local law. Stateside Brands is also a military-friendly company and values military community talent, including veterans, National Guard and Reserve members, and military spouses.

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.

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.