Data science internship jobs in City of Orange, NJ - 887 jobs

About Agentio Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads-automating sourcing, pricing, contracting, delivery, and measurement with AI-so work that took months now happens in minutes. We're on a mission to transform a $600B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work-finally being paid in proportion to the value they create. That shift is accelerating: Unilever's CEO has said the company will move roughly half of its ad budget into social and creators-Unilever is among the world's largest advertisers, spending around $9-10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. Agentio's investors include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes' list of Next Billion Dollar Startups, 2025. We've raised $16M to date, our product is already used and loved by the world's leading marketers and creators- and we're just getting started. Data is Our Growth Engine Our platform routes budgets to the right creators, at the right price, with clear attribution. We ingest rich first-party signals across creative briefs, audiences, content, and outcomes; link them to conversions; and train LLM-driven ranking and pricing models that guide every step-from discovery and acceptance likelihood to pacing and scale. Each campaign feeds back new data, creating a compounding learning loop that makes matching, forecasting, and measurement more efficient with every use. We're expanding our data practice and hiring foundational teammates. Whether you analyze behavior, model outcomes, run experiments, or build robust data and ML tooling, you'll have an immediate impact-shaping product decisions, improving measurement, and delivering the pipelines and services that power the platform. At Agentio, data drives decisions-what we build, how we price, and where we scale-so creators and brands win together. If you're curious, collaborative, and excited to own outcomes in a fast-moving environment, let's talk. You Nimble, hungry, humble, and adaptive to change Excited to learn and grow in a fast-paced environment Proven track record of applying analytical/statistical methods to tackle real-world problems using big data. A true problem-solver and self-starter, with incredible ambition and drive Competitive and highly motivated to exceed expectations Ready to roll up your sleeves, get things done, and work harder than you've likely ever worked before - with far greater reward A positive, honest, empathetic, and curious teammate What You'll Get The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work. Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs. The chance to work with an exceptional team and help build our engineering culture A collaborative, transparent, and engaging work environment. Benefits & Perks Flexible PTO - Take the time you need to recharge Comprehensive Health Coverage - Top medical plan through Aetna Dental & Vision Plans - Protect your smile and your sight with coverage from Guardian 401(k) Retirement Plan - Invest in your future while you build your career $100 Monthly Lifestyle Credit - Use it to shop with our amazing Agentio Brand Partners Free Lunch 3x a week! - We order lunch as a team on Mondays, Wednesdays, and Fridays Gym in the building! - Your workout, right downstairs The estimated base compensation for this role is between $130,000 & $ 225,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for equity and competitive benefits. #J-18808-Ljbffr

Posted Tuesday, September 23, 2025 at 4:00 AM TRANZACT is a leading direct-to-consumer insurance services business, specializing in the distribution of Medicare Advantage, Medicare Supplement and Life & Supplemental insurance policies. Our focus is on leveraging our highly skilled team of over 3,000 professionals to deliver innovative solutions for our insurance carrier partners and provide consumers with a best-in-class experience. We work with some of America's largest insurance brands to attract, educate and connect with consumers. Our diverse team of analysts, writers, engineers, designers, business leads, data scientists and sales professionals all work together to create thoughtful, data-driven and effective marketing, technology, sales and servicing strategies. These efforts have resulted in TRANZACT earning recognition and winning awards from some of the biggest names in the industry. When you become part of TRANZACT, you join a team of passionate people who push for excellence, follow through on commitments, and love to succeed together. Our culture rests on a simple principle - “ Be Real” - that means being genuine, keeping your word, and having the courage to make tough decisions. Our “ Be Real” values resonate and are meaningful to us. We are entrepreneurial, fast paced and empower our people. We know how to make things happen and know that our people are always the source of our success. Position Summary TRANZACT is looking for a hands-on data leader who thrives at the intersection of high-impact analytics, people development, and strategic influence to help shape the future of our data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for what data can do when aligned with bold business goals. As the Head of Data Science and Analytics (DSA), you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide range of ML models and advanced analytics including predictive modeling, segmentation, lead scoring, marketing optimizations as well as crafting data stories and presentations of key findings to stakeholders. Your primary role will be to put Data Science in the center of all our marketing and business decisions. To get there you need to have a deep understanding of data science marketing, what works, where to find leverage and how to build a team around driving best in class marketing outcomes. This is not a support role. While the marketing team may come to your team for help with certain analyses, your team's primary role is to find areas of opportunity for marketing to execute against. The Responsibilities of the Head of Data Science & Analytics include: Help develop DSA team's project and roadmap in line with business objectives and strategic opportunities. Lead and oversee a team of (5) data scientists and analysts to deliver best-in-class impactful models and analysis. Day-to-day collaboration with cross-functional teams to understand evolving business needs and develop effective analytics solutions and models. Execute on a model strategy roadmap to continuously improve accuracy and functionality of models and business outcomes. Drive data science initiatives to improve customer engagement and operational efficiency through personalization and effective targeting. Deliver on varied projects such as customer audience segmentation, propensity models, and dynamic bidding algorithms. Be an SME and key producer of forecasting model development, production, and execution, in partnership with our Enterprise Data Management and Technology teams. Prepare and deliver presentations summarizing key insights and conclusions, often to senior leaders. Embrace and foster a curious growth and learning mindset for the entire team. Support a collaborative, team-oriented and client-focused organization that's motivated by business and technical challenges. Qualifications include: Bachelor's degree in a quantitative or related field, and 8+ years of relevant experience. Data Science experience within marketing. Needs to have done the following: Attribution modeling Audience segmentation, targeting and measurement. Experience within clean rooms a bonus Campaign lift analysis Predictive modeling KPI forecasting and scenario planning Funnel conversion analysis Geo performance and market opportunity analysis Marketing experimentation frameworks Strong leadership skills and successful outcomes as a people manager. Excellent SQL, Python, and Databricks skills. Intuitive business and analytical skills with the ability to collect, organize, analyze, and disseminate relevant information with attention to detail and accuracy to non-technical and senior leadership audiences. Deep experience with successful statistical modeling, machine learning and other advanced analytics methods. Proactive, results-driven, and have a proven track record of execution. Structured thinker with exceptional verbal and written communication skills. Preferred qualifications include: Masters in a quantitative or related field (i.e., Data Science, Statistics, etc.). Experience in a direct to consumer, financial service, or insurance sector(s). Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that base salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation. Compensation The base salary compensation range being offered for this role is $175,000 and above per year. This role is also eligible to participate in the annual bonus program. Company Benefits TRANZACTprovides a competitive benefit package which includes the following (eligibility requirements apply): Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identity Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program). Leave Benefits: Paid Holidays, Annual Paid Time Off (includes state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g. Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave). Retirement Benefits: Savings Plan with annual nonelective company contribution. TRANZACT is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

EDO is the TV outcomes company - a leading platform measuring Convergent TV advertising. Combining real-time engagement signals with world-class decision science, EDO maximizes creative and media performance for modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. EDO's investment-grade data align advertising investments to business results - with detailed competitive, category, historical, and predictive intelligence. EDO is headquartered in Los Angeles and New York City. We also have an office space in San Francisco. We recognize the benefits of hybrid working and want to create the best balance to ensure we can continue working together effectively. For this role, we have a hybrid work policy of 2 days a week in any EDO office. The Role Data Scientists at EDO drive EDO's modeling and analytical methodology to measure the effect that television and streaming ads have on consumer behaviors, primarily consumers' online search and website visits. What You Will Do Enhance EDO's AdEngage platform that measures the effectiveness of linear and streaming TV ads, and enable it to process new types of data and serve new client needs. Test out new methods for modeling ad effectiveness on trillion-event data sets spanning millions of households for several years. Develop reusable tools and building blocks for connecting data sets. Build, diagnose, and tune models, then automate the modeling and diagnostics. Work on a small team and take ownership of high impact projects. What We Are Looking For 3+ years professional experience doing hands-on analysis and writing clean, reusable code in Python. Interpersonal and communication skills to work effectively on a distributed team. Experience building and tuning XGBoost (or similar GBM) models, and with cross-validation techniques, and familiarity with a handful of other modeling tools. Experience with git and exposure to unit testing concepts. Understanding of biased data and adjustment methods including weighting and resampling. Proficiency with analytic queries in SQL and relational databases (we primarily use Snowflake), with experience interfacing directly with databases from Python (we leverage SQLAlchemy Core heavily). Building models of sales lift, running controlled experiments, modeling marketing effectiveness. Familiarity with panel datasets, especially ones with missing data and attrition. Development and test pipelines, continuous integration. Development of feature engineering pipelines and DBT. Implementing or auditing policy compliance in data pipelines and workflows. EDO offers engineering teams a full suite of GenAI tools to assist in developing their work, and resources to best enable use of these tools, as desired. EDO offers a competitive compensation package. Components of compensation include: Mid-stage equity and competitive salary Flexible Time Off Medical, dental and vision coverage, deeply discounted by EDO 401(k) plan, FSA, HSA When in an office, employee meals, snacks, and more fully paid for The base salary range for this position is $120,000 to $150,000, PLUS equity in a mid-stage company. Compensation will be determined based on the skills, qualifications, experience, location and the level of education attained of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. EDO is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr

Business: Disney Direct to Consumer Data Scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners. What You'll Do Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work on the entire development process, i.e., data collection, feature engineering, algorithm development, analysis, visualization, and communicating the results. Collaborate with the team to productionize models. Drive experimentation to test the impact of the models. Deep Analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of Complex Data Sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights, and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. Minimum Qualifications Bachelor's degree in advanced Mathematics, Statistics, Data Science or comparable field of study 3+ years of experience designing, building, and evaluating practical machine learning solutions 2+ years of experience with a programming language for data science or statistics like Python, R, especially experience with scientific libraries like Numpy, Pandas. Experience with reading and writing complex SQL queries and using Databases Deep understanding of machine learning concepts and statistical methods Strong communication skills, for both technical and non-technical audiences Desire to collaborate with other data scientists, data engineers, analysts, and business partners Preferred Qualifications Masters or Doctorate degree in Statistics, Econometrics, Mathematics, Computer Science, Engineering, or related field Previous experience in marketing analytics and consumer insights, especially in the subscription services sector Excellent analytical skills and advanced level of statistics knowledge Familiarity with data exploration and data visualization tools such as Tableau, Looker Experience developing interactive data apps using packages such as R Shiny or Streamlit Strong expertise with Python and libraries such as scikit-learn and scipy Familiarity with data platforms and applications such as Jupyter, Snowflake, Github, Databricks, Airflow #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY is $120,800 to $168,700 per year. Santa Monica, CA and Glendale, CA is $114,900 to $154,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Direct to Consumer: Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC , which is part of a business we call Disney Direct to Consumer . Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation For Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Sign up to receive new job alerts and company information based on your preferences. #J-18808-Ljbffr

Data scientists at Disney Entertainment Direct-to-Consumer are the modeling and insights partners for the Content, Product, Marketing, Analytics, Business Operations, and Engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision‑makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross‑functional business partners. WHAT YOU'LL DO Modeling: Design, build and improve machine learning models related to subscribers' behavior. Work through data collection, feature engineering, algorithm development, analysis, visualization, and communicating results. Collaborate to productionize models and drive experimentation. Deep analysis: Develop comprehensive understanding of subscriber data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers. Visualization of complex data sets: Develop prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights and communicating them clearly and visually. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture. MINIMUM QUALIFICATIONS Bachelor's degree in advanced mathematics, statistics, data science or a comparable field of study. 3+ years of experience designing, building, and evaluating practical machine learning solutions. 2+ years of experience with a programming language for data science or statistics such as Python or R, especially experience with scientific libraries like NumPy and Pandas. Experience with writing complex SQL queries and working with databases. Deep understanding of machine learning concepts and statistical methods. Strong communication skills for both technical and non‑technical audiences. Desire to collaborate with other data scientists, data engineers, analysts, and business partners. PREFERRED QUALIFICATIONS Master's or Doctorate degree in statistics, econometrics, mathematics, computer science, engineering, or a related field. Previous experience in marketing analytics and consumer insights, especially in the subscription services sector. Excellent analytical skills and advanced level statistics knowledge. Familiarity with data exploration and visualization tools such as Tableau or Looker. Experience developing interactive data apps using packages such as R Shiny or Streamlit. Strong expertise with Python and libraries such as scikit-learn and SciPy. Familiarity with data platforms and applications such as Jupyter, Snowflake, GitHub, Databricks, and Airflow. DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS The Walt Disney Company and its affiliated companies are Equal Employment Opportunity employers and welcome all job seekers, including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation to search for a job opening or apply for a position, please visit the Disney Candidate Disability Accommodations FAQs. We will only respond to requests that are related to the accessibility of our online application system. #J-18808-Ljbffr

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global pharmaceutical client in Summit, NJ No Third-Party, No Corp to Corp, No Sponsorship Title: Trademark Data Management Analyst Location: Summit, NJ Hybrid: (Mon-Fri, 40 hours) Contract Duration: 12 months, with likely extension Pay Rate: $33.57 per hour (w2) PLEASE NOTE: To be considered for this position you must have a minimum of three years of trademark experience, particularly with trademark assignments and chain of title changes. Job Description: The IP Operations Assistant role is designed for an experienced, proactive, and self-starting individual seeking to work in a supportive and team-oriented setting. The position focuses on assisting with trademark data review, verification, and related administrative tasks, requiring interaction with in-house and outside counsel as well as business teams. Key Responsibilities: Interpret trademark correspondence to identify data entry errors and resolve inquiries from outside counsel. Manage trademark assignment and chain of title changes, including communication with outside counsel. Verify details of Powers of Attorney (POA), assignments, and related documents, preparing themfo r attorney signature, notarization, and legalization. Support the IP Operations Manager in departmental projects such as organizing POAs, running reports, and data verification. Assist with overflow projects and provide backup during team members' absences. Job Requirements: MUST HAVE A Minimum of three years of trademark experience, particularly with trademark assignments and chain of title changes. Required proficiency in trademark IPMS databases, preferably Memotech. Understanding of trademark law sufficient to perform duties with minimal supervision. Strong organizational, teamwork, and time management skills with attention to detail and problem-solving abilities. Experience handling high-volume, complex data with the ability to multitask and work under pressure. Proficiency in Excel (including advanced data analysis and manipulation such as pivot tables), Microsoft Outlook, and Adobe Acrobat. Proven ability to manage projects independently while providing clear updates to the IPOperations Manager. Preferred but not required: New Jersey Notary certification. Comfortable using information technology and document management tools. Strong written and verbal communication skills, capable of effective interaction at all company management levels.

Apply now Job No: 496959 Department: KIDNEY TRANSPLANT (PRE) Local Title: Data Analyst, Transplant Surgery Budget Title: Teaching Hospital Senior Staff Associate Work Type: Full Time Are you looking to take your career to new heights with a leader in healthcare? SUNY Downstate Health Sciences University is one of the nation's leading metropolitan medical centers. As the only academic medical center in Brooklyn, we serve a large population that is among the most diverse in the world. We are also highly-ranked by Castle Connolly Medical, a healthcare rating company for consumers, among the top 5 leading U.S. medical schools for training doctors. Bargaining Unit: UUP Job Summary: The Department of Transplant Surgery at SUNY Downstate Health Sciences University is seeking a full-time Data Analyst / TH Senior Staff Associate. The Transplant Data Analyst will support the Transplant Division by assisting with the collection, entry, and verification of transplant-related data in compliance with regulatory agencies including UNOS, CMS, and IPRO. While a clinical background is not required, the ideal candidate should possess strong analytical skills, a high level of attention to detail, and the ability to work with clinical documentation. All responsibilities will be performed under the supervision of the Data Analyst Manager, with appropriate training and guidance provided. Essential Duties and Responsibilities: Abstract and accurately enter transplant data into systems such as UNet and TransChart, based on clinical documentation and established guidelines. Review data submitted by clinical staff; verify completeness and consistency using electronic health records (EHRs), chart notes, and other source documents. Retrieve supporting documentation from medical records, internal databases, and hospital systems for reporting and audit purposes. Assist with regulatory reporting by organizing and preparing data for submission to UNOS, CMS, and other oversight bodies. Maintain organized records and assist in the development of internal data collection tools. Collaborate with the Data Analyst Manager and clinical staff to ensure accuracy and timely completion of assigned data tasks. Contribute to transplant quality improvement initiatives by preparing basic reports, graphs, and visual data summaries. Provide support for research and strategic planning activities by helping to prepare datasets or assist with preliminary analysis. Comply with HIPAA regulations and hospital policies for handling sensitive patient information. Required Qualifications: Associate's Degree in Health Information Technology, Computer Science, Life Sciences, or a related field. 2+ years of experience working in a data or healthcare-related environment. Proficiency in Microsoft Office (especially Excel and PowerPoint). Ability to learn and apply medical terminology relevant to transplant data (training will be provided). Strong attention to detail and ability to manage multiple tasks and deadlines. Comfortable working with confidential information and collaborating with clinical and administrative teams. Or, a satisfactory equivalent combination of experience, education and training to the above listed. Preferred Qualifications: Experience with transplant databases (e.g., UNet, TransChart), or familiarity with EHR systems. Basic understanding of medical terminology or previous exposure to healthcare documentation. Prior experience in a hospital, clinic, or research setting. Familiarity with statistical tools such as SPSS, SAS, or Analyze-it. Work Schedule: Variable Days; 9:00am to 5:00pm (Full-Time) Salary Grade/Rank: Salary Range: Commensurate with experience and qualifications Executive Order: Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at ************** or via email ****************** . Equal Employment Opportunity Statement: SUNY Downstate Health Sciences University is an affirmative action, equal opportunity employer and does not discriminate on the basis of race, color, national origin, religion, creed, age, disability, sex, gender identity or expression, sexual orientation, familial status, pregnancy, predisposing genetic characteristics, military status, domestic violence victim status, criminal conviction, and all other protected classes under federal or state laws. Women, minorities, veterans, individualswith disabilities and members of underrepresented groups are encouraged to apply. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please contact Human Resources at ***************** Advertised: September 21, 2025 Eastern Daylight Time Applications close: Open until filled #J-18808-Ljbffr

Energy Program Data Analyst (EV Programs) Schedule: Onsite/ Hybrid Hours: 9am - 5pm Pay Range: $34- $40/hr This role involves reviewing applications for eligibility, managing program documentation, analyzing charging data, and preparing incentive payment calculations. The position requires strong analytical skills, attention to detail, and the ability to manage multiple projects while maintaining excellent communication with internal and external stakeholders. Job Responsibilities Serve as a point of contact for program participants and coordinate discovery meetings Review applications for completeness and verify required documentation meets program requirements Confirm eligibility for program offerings and perform programmatic checks per application Upload and maintain accurate documentation in Salesforce Update and progress applications through the system as needed Analyze charging data provided by participants to ensure completeness and accuracy Validate data elements such as session IDs, start/stop times, energy demand (kWh), peak demand (kW), time zone, and charger uptime Perform incentive calculation checks and payment process verification according to program guidelines Prepare reports and communicate findings to stakeholders Assist with program development activities and support operational needs throughout the contract period Job Requirements Strong customer service skills and ability to build relationships with stakeholders Advanced proficiency in Microsoft Excel (including pivot tables, VLOOKUP/XLOOKUP) Strong data analysis and problem-solving skills Ability to manage multiple projects simultaneously with attention to detail Excellent written and verbal communication skills Experience with Salesforce or PowerBI preferred Proficiency in Microsoft PowerPoint preferred Education Associate degree required; Bachelor's degree preferred Work Experience Prior experience in data analysis, program coordination, or related roles preferred 25-32206

Job Title: Analyst, Data Scientist Salary: $70,000-$90,000 Contact: ******************************** is not available for C2C or C2H and the client is unable to sponsor at this time. About the Company We are partnering with a leading organization in the textiles and apparel sector, known for its commitment to innovation, quality, and operational excellence within the retail industry. The company is focused on enhancing business processes and delivering exceptional value to its customers through data-driven decision-making. Role Overview The Analyst, Data Scientist plays a critical role in developing and maintaining reporting tools, including metrics, dashboards, and analytical platforms. This position supports strategic and operational decision-making by applying data analysis to identify insights, maintain process controls, and drive continuous improvement across the organization. Key Responsibilities Manage reporting requests from field operations by defining technical requirements and developing reports, metrics, and dashboards using SQL and Power BI Design and build advanced Power BI dashboards leveraging DAX, Power Query, and other advanced features Perform data cleaning and analysis, translating complex analytical results into clear, actionable insights Collaborate with business stakeholders and IT teams to align on project objectives and deliverables Support strategic initiative planning through prioritization, estimation, and analysis Gather, document, and maintain detailed business and technical requirements Participate in problem-solving sessions with business users and leadership to address analytical challenges Lead change management efforts and deliver training to end users as needed Serve as a liaison between business teams and IT to resolve system issues and improve processes Provide regular project updates and communicate issue resolution status to stakeholders Qualifications Bachelor's degree in Engineering, Mathematics, Computer Science, or a related field 1-2 years of experience developing business or technology solutions Strong proficiency in Power BI, including DAX and Power Query Solid understanding of data warehousing and business intelligence concepts Ability to read and write SQL Familiarity with R, Python, and machine learning concepts (theoretical or practical) is a plus Advanced skills in Microsoft Office tools, including Excel, PowerPoint, Word, Visio, and SharePoint Experience in a corporate retail environment is preferred This role is ideal for a proactive, analytical professional who thrives in a fast-paced environment. The successful candidate will demonstrate strong communication and collaboration skills and the ability to work effectively across cross-functional teams.

Application Deadline: 01/25/2026 Address: 151 W 42nd Street Job Family Group: Technology As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below. Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO Social Squad student-led activities, BMO Academy corporate learning platform, and access to various Employee Resource Groups to further develop your network within BMO. Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus and joining our LinkedIn group BMO Campus Recruiting & Early Talent. Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at ***************************************************** To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information. Investigates and identifies strategies to optimize business operations and services, and inform business decisions. Defines business requirements to inform technology build and operations by sourcing and analyzing relevant data, reviewing and documenting business processes and collaborating with business stakeholders. Sources business and market data to evaluate the effect of projects on business results. Also assesses the efficiency and the performance of technology (software, hardware and the wider IT system) to deliver expected business results. Identifies and analyzes malfunctions, system workflow, and troubleshoots issues raised by business. Elicits requirements and analyzes feasibility to ensure solutions/initiatives achieve the expected business outcomes. Supports various project teams across the project lifecycle to ensure development is aligned with the business requirements. Develops informative, coherent, and usable project documents (project artifacts) for multiple stakeholders covering functional and non-functional business requirements. Applies depth of domain & functional expertise for the assigned portfolio to drive the expected business value. Breaks down strategic problems, and analyses data and information to provide insights and recommendations. Builds tests cases in order to validate business requirements and End-User Testing results. Focus may be on a business/group. Thinks creatively and proposes new solutions. Exercises judgment to identify, diagnose, and solve problems within given rules. Works mostly independently. Broader work or accountabilities may be assigned as needed. Qualifications: Foundational level of proficiency: Agile Delivery and Development. Data analysis. Learning Agility. Process improvement and optimization. Organization process optimization. Business architecture frameworks. Stakeholder Analysis and Management. Digital Fluency. Systems Thinking. Business requirements definition and analysis. Insights development and reporting. Application functional design. Functional Analysis. Verbal & written communication skills. Collaboration & team skills. Analytical and problem solving skills. Typically between 3 - 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. Specialized knowledge from education and/or business experience. Salary: $49,500.00 - $91,300.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position. BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ******************************************** About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at ************************* BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ************************** and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

As a Data Analyst Intern, you will support the company's data-driven decision-making process by analyzing large amounts of data related to consumer behavior, trends and patterns. You will have the opportunity to work with a team of experts and gain valuable insights into the retail industry while developing your skills and knowledge in data analytics. This is a part-time internship position that requires excellent attention to detail, critical thinking and problem solving skills and the ability to work independently in a fast-paced environment. Responsibilities Assist in collecting, cleaning and transforming large data sets from various sources. Analyze and interpret data to identify trends and insights related to consumer behavior, market trends, and sales patterns. Assist in building and maintaining reporting and visualization tools to communicate data insights to key stakeholders. Develop and maintain dashboards, data visualizations, and other reporting solutions. Conduct ad hoc data analysis to support business needs. Collaborate with cross-functional teams to identify opportunities for improvement, provide data-driven insights and recommendations to support strategic decisions. Requirements Currently enrolled in or recently graduated from a Bachelors or Masters degree program Strong analytical and problem-solving skills. Ability to work independently and in a team-oriented environment. Excellent attention to detail and accuracy. Proficient in Microsoft Office Suite, especially Excel and PowerPoint. Familiarity with SQL, Python, or R programming languages. Benefits We are committed to providing an environment of mutual respect where equal employment opportunities are extended to all employees and applicants for employment. We prohibit 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. All aspects of employment are decided on the basis of qualifications, competence, merit, and business needs. We are proud to be an equal opportunity employer.

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as renewable energy, transportation, retail, healthcare etc.) as well as more transverse projects within the company (such as generative AI, etc.) This position requires a certain degree of autonomy, always accompanied by regular supervision from other data scientists and team managers. It also offers direct exposure to the management of the concerned companies, as well as current issues of decarbonization and sustainable development. Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities. Required skills * Rigor * Motivation * Autonomy * Responsiveness * Team spirit and excellent communication skills * Ability to simplify complex technical concepts * Efficiency Profile * 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science, Statistics, Mathematics, Operations Research, or related field * Prior experience in data science required * Advanced proficiency in Python required * Fluent English essential * Good command of Excel and PowerPoint appreciated Other information * Remuneration based on profile * Monday - Thursday meals provided in Ardian's office * Open to J1/F1 sponsorship To enhance your recruitment prospects and prepare for potential interviews, please consult our Resource Center. There, you will gain access to a wide range of advice, preparatory materials, and testimonials.

About : City Wonders is a dynamic and innovative company. We are committed to excellence and offer exciting opportunities for interns to gain valuable experience in the field of data analysis. Position Overview: Are you a detail-oriented and analytical individual with a passion for data? Wonders is seeking a talented Data Analyst Intern to join our team. This internship provides a unique opportunity to work closely with our data professionals, learn valuable skills, and contribute to meaningful projects. Key Responsibilities: Collaborate with the data team to collect, clean, and analyze data from various sources. Assist in creating and maintaining reports and visualizations to track key metrics. Support data-driven decision-making by providing insights and recommendations. Help maintain data quality and accuracy through regular audits and checks. Learn and apply data analysis tools and techniques. Participate in team meetings and contribute to data-related discussions. Qualifications: Currently pursuing or recently graduated with a degree in Data Science, Statistics, Business Analytics, or a related field. Strong analytical skills and attention to detail. Good communication skills and the ability to work effectively in a team. Eagerness to learn and adapt to new data analysis methodologies. Benefits: Gain practical experience in data analysis within a supportive and collaborative team. Exposure to real-world data and business challenges. Opportunity to build a professional network.

As a Data Analyst Intern, you will be responsible for collecting, organizing, and analyzing large datasets to derive meaningful insights and provide strategic recommendations to our investment team. You will work closely with senior analysts and investment professionals to identify trends, evaluate market opportunities, and assess the performance of potential and existing investments. This internship will provide a unique opportunity to learn about the venture capital and private equity industry while developing foundational skills in data analysis and investment evaluation. Responsibilities Collect, clean, and organize large datasets for analysis Perform quantitative and qualitative analysis to identify trends and patterns Support investment team in evaluating potential investment opportunities Assist with financial modeling and forecasting Conduct market research to identify industry trends and competitive landscapes Create and maintain databases and analytical tools Prepare reports and presentations for senior management and investors Requirements Strong analytical and problem-solving skills Proficiency in Excel and data analysis tools such as Python or R Excellent attention to detail and ability to work with large datasets Knowledge of financial modeling and valuation techniques Strong verbal and written communication skills Ability to work independently and within a team Self-motivated and eager to learn about venture capital and private equity

The ideal candidate is a motivated, organized, and creative individual with experience in the finance industry or familiarity with quantitative hedge funds. Job Responsibilities: Analyze business operations and strategies to identify new opportunities. Identify cost reductions to increase net trading revenue. Research global markets and evaluate new trading opportunities. Implement efficient vendor communication and feedback channels. Identify and negotiate business contracts/deals that promote sustained income. Maintain long term relationship and routine communication with business counterparties. Explore new trading related products, conduct initial analysis of data/infra-applicability. Maintain close communication with internal research team. Qualifications: Bachelor's degree in economics or finance, marketing or communication, social sciences or similar. Previous experience as a business development analyst communication emphasized role in a related industry. Experience in identifying profitable business opportunities and potential trading venues/markets. Proven ability to increase competitiveness and market share. Ability to develop and maintain strong vendor relationships. Exceptional interpersonal and communication skills. Strong ability to gather and analyze information, quickly learn new subject areas, and comprehend complex ideas with ease.

A leading media and entertainment company in New York City is seeking a Data Scientist II to develop and deploy machine learning solutions. The role involves collaborating with Product and Engineering teams to optimize payment processes and enhance customer relationships. Ideal candidates will have a Bachelor's degree and over 3 years of experience in machine learning model development. Competitive compensation is offered, including a salary range of $120,300 to $161,300 per year. #J-18808-Ljbffr

A leading insurance services firm in New Jersey is seeking a Head of Data Science to oversee advanced analytics projects. The ideal candidate will have over 8 years of experience in data science with a strong focus on marketing. Responsibilities include leading a team, developing impactful models, and aligning analytics initiatives with business goals. Competitive compensation and comprehensive benefits are offered, including health insurance and retirement plans. #J-18808-Ljbffr

A leading data analytics firm in Los Angeles is seeking a Data Scientist to enhance their AdEngage platform and measure ad effectiveness. The ideal candidate has over 3 years of experience in coding with Python, model tuning, and SQL proficiency. Offering a competitive salary and flexible time off, this role supports a hybrid working environment with a focus on innovation in advertising analytics. #J-18808-Ljbffr

A major media and entertainment company seeks a data scientist to design and improve machine learning models that analyze subscriber behavior. The role includes deep analysis of data and collaboration with business stakeholders to drive growth and retention. Applicants should possess a Bachelor's degree in mathematics or statistics and 3+ years of machine learning experience, including proficiency in Python and SQL. This position is located in California, USA and offers opportunities to contribute vital insights to major entertainment platforms. #J-18808-Ljbffr