Data science internship jobs in Scranton, PA

Analyst, Data Analytics | Institutional Real Estate Investment Firm We are working with a leading real estate investment firm that is looking for an Analyst to join their Data Science group, and help play a key role in driving/generating actionable insights across an institutional-grade portfolio of assets, which is part of our client's multibillion-dollar portfolio of diversified real estate holdings throughout the US. This role will combine strategic thinking and advanced analytics to identify opportunities firmwide, and focus on managing data pipelines, creating/refining in-house models, developing controls and workflows, all while engaging with internal and external stakeholders. Our client is an industry leader that continues to raise capital, deploy capital, and outperform its peers year-over-year, and this would be an opportunity to be a part of that growth. Experience: Bachelor's degree in Analytics, Engineering, Statistics, or related, from a top-tier university 3+ years of experience in data engineering, BI, analytics, or related Proficiency in Python, SQL, Power BI, Excel and data visualization Experience employing predictive analytics and forecasting KPIs, in a cross-functional environment If this sounds like you, please apply, and/or reach out to Alex, at ************************.

We are looking for an AWS Data Analyst to collecting, cleaning, and interpreting large datasets to find patterns and insights, then communicating these findings to stakeholders through reports and dashboards to drive business decisions The ideal candidate will have strong analytical abilities, proficiency in tools like SQL, Excel, and Python, and excellent communication skills to translate complex data into actionable business strategies. Responsibilities: Extract, clean, and analyze large datasets from multiple sources. Write complex SQL queries to retrieve, manipulate, and analyze data efficiently. Develop and maintain dashboards and reports for business stakeholders. Work with AWS services such as S3, Redshift, Athena, and Glue for data processing and analysis. Collaborate with cross-functional teams to understand data requirements and provide actionable insights. Ensure data integrity, consistency, and security across various databases. Identify trends, anomalies, and opportunities in data to drive business decisions.

SystemsAccountants is partnering with a client in the hospitality and entertainment sector to identify a Data Analyst who will join their finance team and drive analytics initiatives across the organization. This role is ideal for someone who thrives on transforming complex data into clear, actionable insights that influence strategic decisions. Location: Hybrid in New York City Compensation: $90,000 $120,000 About the Role The Data Analyst will work closely with stakeholders across departments including Operations, Marketing, Finance, and Food & Beverage to analyze datasets, build models, and deliver reporting that supports data-driven decision-making. This position offers the opportunity to shape analytical best practices and contribute to a culture where data informs every major business decision. Responsibilities Analyze complex datasets using SQL, Python, and BI tools to generate insights that drive business outcomes Design, build, and maintain dashboards, models, and reports that enable leadership and operational teams to make informed decisions Partner with business stakeholders to define problems, establish metrics, and translate questions into structured analytical frameworks Present findings through visualizations, presentations, and narratives that make complex statistical concepts accessible to non-technical audiences Collaborate with Data Engineering to identify high-impact datasets, optimize data structures, and streamline processes for faster insight delivery Mentor junior analysts and contribute to the continuous improvement of analytical standards and practices Qualifications Bachelor's degree in Business, Finance, Economics, Data Analytics, Data Science, or a related discipline Three to five years of experience in analytics, business intelligence, or a related field Advanced proficiency in SQL with demonstrated experience querying large, complex datasets Strong Python skills for data manipulation, analysis, and automation Experience building models and performing analytics outside of Excel Ability to communicate statistical concepts clearly to stakeholders at all levels Experience in gaming, leisure, entertainment, or financial services is highly preferred

Job Title: Data Analyst Duration: Long-Term Contract Employment Type: W2 Only - No C2C, No 1099. We are seeking a highly skilled Data Analyst to join our team on a long-term W2 contract. The ideal candidate must have 5 - 7 years of professional experience after completing their bachelor's degree (prior to starting a master's program) and strong expertise in Python, SQL, AWS, Tableau, and Snowflake. This role involves working with large datasets, building analytical solutions, and supporting data-driven decision-making across the business. Key Responsibilities Perform data extraction, transformation, and analysis using SQL, Python, and other analytic tools. Develop dashboards, visualizations, and reports in Tableau to support business insights. Work with cloud-based data infrastructure on AWS (S3, Lambda, Glue, Redshift, etc.). Develop and optimize ETL/ELT pipelines in Snowflake and other data systems. Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Ensure data quality, integrity, and security across multiple environments. Perform ad-hoc analysis and create automated reporting solutions. Document data processes, workflows, and best practices. Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related field. Must have 5 -7 years of industry experience AFTER completing the bachelor's degree and BEFORE starting any master's program. Strong proficiency in SQL for querying and manipulating large datasets. Advanced skills in Python, including Pandas, NumPy, and data processing libraries. Hands-on experience with AWS services used in data engineering/analytics. Experience working with Snowflake (query optimization, warehouses, schemas, data modeling). Proficiency in Tableau for building dashboards and visual insights. Strong analytical thinking, problem-solving, and communication skills. Ability to work in a fast-paced, collaborative environment with minimal supervision. Preferred Qualifications Master's degree (completed after required 3-5 years of post-bachelor's experience). Experience with Git, Airflow, or other orchestration tools. Knowledge of statistical modeling or machine learning concepts. Familiarity with Agile methodologies. Additional Information W2 only - No C2C, No 1099. Hybrid work model (3 Days onsite). Candidates must be authorized to work for any employer in the U.S. Thanks & Regards Vasu Baanyan Software Services Inc 100 Metroplex Drive, Suite 100, 1st Floor, Edison, NJ. 08817 Phone: ************ Extn: 207 | Direct: ************ Email: **************** | *************** An E-Verified Compan y

A NY-based financial firm is looking for an experienced SQL Server Data Base Analyst to: Manage the mission-critical production environment of mixed editions of Microsoft SQL Servers Troubleshoot performance issues Actively provide guidance and recommendations on best practices in SQL programming Be on call for overnight jobs Requirements Minimum 8 years of hands-on experience in managing Microsoft SQL Server 2012, 2016, 2019, or 2022, including: Installation and configuration Backup-restore job management Server health, job performance, and resource utilization Monitoring Extensive experience in troubleshooting database issues and monitoring the performance of SQL Agent jobs using tools such as dynamic management views and DBCC commands. Extensive experience in SQL performance tuning, including: Analyzing query plan Stored procedure statistics and index optimization Blocking and deadlock detection Resource governance Extensive experience in: Data replication, Failover and disaster recovery, High availability Familiarity with SQL Server features such as log shipping, database mirroring, and transactional replication. Always-on experience a plus. Keywords: Microsoft SQL Servers, DBA, Performance, Troubleshooting, Data Replication, Database Mirroring Please send resumes to Jim Geiger, jeg@analyticrecruiting.com | For more opportunities, please

About Us Colonial Surety Company is an insurance company licensed for business in every state, listed by the U.S. Treasury as an approved surety, and rated “A Excellent” by A.M. Best Company. Our distinct, digital product platform has recently expanded to include important liability coverages for small and mid-size businesses. Founded in 1930, we use our experience-plus technology-to give busy people and businesses easy, affordable and digital access to a growing portfolio of bond and insurance products. We have an ambitious vision for impact and growth-and invite a diversity of motivated achievers to come, learn, work, create, grow-and succeed-witdah Colonial. Position Summary Our data analysts are the drivers behind our continued growth and success. With our commitment to innovation, it's our business analysts who can perform the deep analysis of data and then determine the best way to represent it visually to managers and stakeholders. We're currently searching for an experienced data analyst to help guide our organization into the future. From collecting, analyzing, and interpreting data to identify trends and make strategic recommendations for improvement in areas such as product performance, marketing campaigns, customer experience, and customer segmentation. They should be wholly committed to the discovery and development of innovative solutions in an ever-changing digital landscape. Job Functions, Essential Duties, And Responsibilities Provide support in managing and maintaining digital analytics, opportunity identification and prioritization, hypothesis generation, test setup and reporting Responsible for reporting and analysis of digital platforms and marketing campaigns against a holistic set of KPIs and benchmarks Collecting and analyzing data from multiple sources such as customer databases, web analytics, market research, and surveys. Creating reports and dashboards to track key performance indicators. Identifying trends and recommending strategies to improve ecommerce performance. Building and monitoring predictive models to optimize pricing and promotional decisions. Enhancing customer segmentation and targeted marketing campaigns. Understanding user behavior and leveraging insights to drive product design, development, and optimization. Collaborating with teams across departments to ensure data accuracy and integrity. Experience, Skills, Knowledge Requirements 4+ years of direct and hands-on experience providing solutions. Excellent analytical skills, be detail-oriented, and work well within a small, dynamic and data-driven team. Solid understanding of database technologies, data analytics, and reporting tools. Experience with building data pipeline using SQL query and Python script Experience with analytic tools such as Power BI, Tableau, Spark, Splunk, Jupyter notebook, and etc. Analytical skills to interpret data and draw meaningful insights. Good communication and presentation skills. Knowledge of machine learning and predictive modeling techniques is plus but not required. Understanding of web analytics and customer segmentation techniques. Hands-on experience with statistical platform such as Google Tag Manager, Google Analytics, Ads Compensation and Benefits Colonial Surety offers: A competitive starting salary based on experience, with achievement based opportunities for annual bonuses and increases. Opportunities for professional advancement. We value big thinking tied to practical, collaborative execution in a structured and growth oriented company. Ongoing mentoring from senior staff and periodic opportunities to attend industry seminars and workshops. Starting on the first day of hire, all Colonial employees can begin participating in our excellent Major Medical, Dental, Vision and Life Insurance plans. Paid holiday and vacation time, which starts in the first year of employment and increases with tenure. A modern, professional, suburban office space, concentrated work day (8:30-5:30) and business-attire environment. We enjoy a professional, collegial and positive work atmosphere, sharing camaraderie and rooting for individual and collective success.

Job Title: Data Analyst *No C2C/No Sponsorship/No 1099* Duration: Permanent Pay: $60-75,000/year The Data Analyst II role is an intermediate role, responsible for gathering, cleaning, and analyzing data to provide insights that drive business decisions. Works with structured data, performs descriptive analytics, and create reports and visualizations to communicate findings to stakeholders. Assists with data preparation tasks and contributes to the development of data models. This role is expected to demonstrate expertise in the following: Responsibilities Data analysis: demonstrates awareness of how to approach a variety of data questions. Leverages appropriate analytical tools (Excel, SQL, Tableau, and/or python) to achieve business objectives in both the preparation of data and the creation of new, meaningful metrics of interest. Data cleaning: works effectively to transform raw data to a usable format. Is mindful of the knock-on business implications of transforming different data points and takes these into account in disseminating the data within the team. Data visualization: creates visualizations of data that inform action, drive business strategy, and directly answer stakeholder/business needs. Data infrastructure: demonstrates broad awareness of VC data or knowledge of where to find salient information in addressing stakeholder needs. Consistently works to expand awareness of data fields that exist within our database. Stakeholder engagement: communicates results of analyses effectively to broad variety of audiences. Demonstrates ability to incorporate context of individual audiences into data products through a bias for interaction with stakeholders. Quality assurance: adheres to industry-standards of data practices. Actively prevents erroneous data from reaching stakeholders. Continued professional development Participates in special projects and performs other duties as assigned. Requirements Undergraduate degree or equivalent combination of training and experience. 2+ years of analytical experience or equivalent. Proven broad analytics skills. Some experience leveraging BI tools (e.g. Tableau) and has a clear understanding of business processes and metrics. Needs a combination of technical and business skills, including data modeling, data visualization, and domain knowledge. Experienced in distilling and communicating data through summary tables and visualizations (predominantly through Excel and Tableau) Demonstrates ability to directly query source data through SQL. Basic experience writing code (preferably in python) Leverages critical thinking and collaboration skills to determine how to approach and solve problems with a team. Manages time effectively. Demonstrates ability to work within established deadlines and manage multiple data requests and projects. Produces high quality of work with some supervision. Maintains a strong focus on data quality and demonstrates ability to validate results of other analysts. Develops effective working relationships with staff, peers, and management.

Machine Learning Data Scientist Length: 6 Month Contract to Start * Please no agencies. Direct employees currently authorized to work in the United States - no sponsorship available.* Job Description: We are looking for a Data Scientist/Engineer with Machine Learning and strong skills in Python, time-series modeling, and SCADA/industrial data. In this role, you will build and deploy ML models for forecasting, anomaly detection, and predictive maintenance using high-frequency sensor and operational data. Essential Duties and Responsibilities: Develop ML models for time-series forecasting and anomaly detection Build data pipelines for SCADA/IIoT data ingestion and processing Perform feature engineering and signal analysis on time-series data Deploy models in production using APIs, microservices, and MLOps best practices Collaborate with data engineers and domain experts to improve data quality and model performance Qualifications: Strong Python skills Experience working with SCADA systems or industrial data historians Solid understanding of time-series analytics and signal processing Experience with cloud platforms and containerization (AWS/Azure/GCP, Docker) POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment. Come see why DPC has achieved: 4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee's Choice - Best Places to Work' by Glassdoor. Voted ‘Best Staffing Firm to Temp/Contract For' seven times by Staffing Industry Analysts as well as a ‘Best Company to Work For' by Forbes, Fortune and Inc. magazine. As you are applying, please join us in fostering diversity, equity, and inclusion by completing the Invitation to Self-Identify form today! ******************* Job #18135

Role: HEDIS Data Analyst Key Responsibilities Must have HEDIS Analytics & Reporting Develop, validate, and maintain HEDIS measure calculations based on NCQA specifications. Extract, transform, and analyse data from claims, eligibility, EHR, pharmacy, and lab systems. Support annual HEDIS submissions, including numerator/denominator validation, audit documentation, and data quality checks. Conduct trending, gap analysis, and performance monitoring for all HEDIS measures. Generate weekly/monthly dashboards for stakeholder consumption. Data Engineering & ETL Support Develop and optimize SQL queries, ETL pipelines, and data transformations. Collaborate with IT/data engineering teams to improve data quality and resolve inconsistencies. Create field mappings, data lineage documentation, and technical specifications. Chart Review / Hybrid Measures Produce and manage provider retrieve lists for medical record collection. Validate chart abstraction output for accuracy and completeness. Support provider outreach related to missing documentation and care gaps. Cross-Functional Collaboration Partner with Quality Improvement, Clinical, Provider Relations, and Compliance teams to support initiatives. Provide guidance on data anomalies, measure interpretation, and technical HEDIS questions. Present insights and trend analyses to leadership. Audit & Compliance Assist with HEDIS Compliance Audit preparation and documentation. Ensure adherence to NCQA guidelines and regulatory requirements. Maintain audit trails and detailed reporting artifacts. Technical Skills Advanced SQL (required). Experience working with healthcare payer datasets (claims, eligibility, provider, EMR, pharmacy, lab). Understanding of healthcare coding standards (ICD-10, CPT, HCPCS, LOINC, NDC). HEDIS / Healthcare Domain Knowledge Deep understanding of NCQA HEDIS technical specifications. Experience with hybrid and administrative measures. Knowledge of HEDIS audit processes and regulatory timelines. Familiarity with care gap workflows and quality improvement strategies.

QSE7, a Pennsylvania-based consulting company, is seeking to hire a high-aptitude individual to perform business process optimization, data analysis, and software development services to our pharmaceutical, consumer healthcare and medical device clients. Job Responsibilities As a QSE7 Data Analyst, you will be expected to perform the following services for life sciences clients: Assess and continuously improve key quality, manufacturing and financial business processes Facilitate cross-functional ideation and voice-of-customer (VOC) sessions to identify pain points and opportunities to improve efficiency and effectiveness Analyze current-state data and design future-state data models Automate business processes by configuring and customizing Microsoft SharePoint, Power Apps, and Power Automate Develop sophisticated data analytics reports using Microsoft Power BI and Tableau Analyze data to identify trends and recommend solutions to address potential issues before they arise Perform project management services including documenting meeting minutes, developing project plans, proactively identifying and mitigating risks, and communication project status to team members, senior management and executive leadership Work collaboratively with cross-functional team members to ensure issues are resolved quickly and effectively Qualifications / Experience B.A. or B.S. degree required Deep technical expertise in Microsoft Excel, SharePoint, PowerApps, Power Automate and Power BI; VBA programming skills a plus 3-to-5 years of professional work experience; experience in the life sciences, manufacturing, or other federally regulated industry a significant plus Quantitative data analysis experience Excellent verbal and written communication skills Ability to lead and motivate teammates Ability to work independently and collaboratively in a problem-solving environment Ability to efficiently and effectively provide consulting services from a remote home office Experience with lean / agile methodologies About QSE7 Founded in 2016, QSE7 offers innovative and specialized Information Technology (IT) and Consulting services to FDA-regulated life sciences companies. Our areas of focus include program/project management, process analysis, automated business process improvements, data analytics and reporting, and implementation of IT solutions based on Microsoft technologies, such as Excel, MS Teams, SharePoint, Power BI and Power Automate. We strive to bring automation and efficiency to our clients' processes by providing high-quality and intuitive solutions in an efficient, comprehensive manner.

Title: Data Scientist Duration: Direct Hire Schedule: Hybrid (Mon/Fri WFH, onsite Tues-Thurs) Interview Process: 2 rounds, virtual (2nd/final round is a case study) Salary Range: $95-120k/yr (with benefits) Must haves: 1yr min professional/post-grad Data Scientist experience, and knowledge across areas such as Machine Learning, NLP, LLMs, etc Proficiency in Python and SQL for data manipulation and pipeline development Strong communication skills for stakeholder engagement Bachelor's Degree Plusses Master's Degree Azure experience (and/or other MS tools) Experience working with healthcare data, preferably from Epic Strong skills in data visualization, dashboard design, and interpreting complex datasets Day to Day: We are seeking a Data Scientist to join our clients analytics team. This role focuses on leveraging advanced analytics techniques to drive clinical and business decision-making. You will work with healthcare data to build predictive models, apply machine learning and NLP methods, and optimize data pipelines. The ideal candidate combines strong technical skills with the ability to communicate insights effectively to stakeholders. Key Responsibilities Develop and implement machine learning models for predictive analytics and clinical decision support. Apply NLP and LLM techniques to extract insights from structured and unstructured data. Build and optimize data pipelines using Python and SQL for ETL processes. Preprocess and clean datasets to support analytics initiatives. Collaborate with stakeholders to understand data needs and deliver actionable insights. Interpret complex datasets and provide clear, data-driven recommendations.

NYC NY / Hybrid 12+ Months Project - Leveraging Llama to extract cybersecurity insights out of unstructured data from their ticketing system. Must have strong experience with: Llama Python Hadoop MCP Machine Learning (ML) They need a strong developer - using llama and Hadoop (this is where the data sits), experience with MCP. They have various ways to pull the data out of their tickets but want someone who can come in and make recommendations on the best way to do it and then get it done. They have tight timelines. Thanks and Regards! Lavkesh Dwivedi ************************ Amtex System Inc. 28 Liberty Street, 6th Floor | New York, NY - 10005 ************ ********************

***This role is hybrid three days per week onsite in Parsippany, NJ. LOCAL CANDIDATES ONLY. No relocation*** Data Scientist • Summary: Provide analytics, telemetry, ML/GenAI-driven insights to measure SDLC health, prioritize improvements, validate pilot outcomes, and implement AI-driven development lifecycle capabilities. • Responsibilities: o Define metrics and instrumentation for SDLC/CI pipelines, incidents, and delivery KPIs. o Build dashboards, anomaly detection, and data models; implement GenAI solutions (e.g., code suggestion, PR summarization, automated test generation) to improve developer workflows. o Design experiments and validate AI-driven features during the pilot. o Collaborate with engineering and SRE to operationalize models and ensure observability and data governance. • Required skills: o 3+ years applied data science/ML in production; hands-on experience with GenAI/LLMs applied to developer workflows or DevOps automation. o Strong Python (pandas, scikit-learn), ML frameworks, SQL, and data visualization (Tableau/Power BI). o Experience with observability/telemetry data (logs/metrics/traces) and A/B experiment design. • Preferred: o Experience with model deployment, MLOps, prompt engineering, and cloud data platforms (AWS/GCP/Azure).

Hybrid in Columbia, NJ The data management role involves the architecture and stewardship of the bank data. This role requires understanding of data management topics, design methodologies and tools. The individual in this role must understand structured and unstructured data and can architect the distribution, management, retention and utilization of bank data and content. This role requires moderate to high levels of database administration skills. Key Responsibilities Architecture and stewardship of bank data and content. Understanding of data and content for the purpose of guiding where the data is stored, how it is stored, how it is accessed and how hygiene is maintained. Data hygiene: Architect and document ongoing data hygiene practices to ensure data integrity and routine maintenance. Infrastructure architecture: Understanding of systems and design to be able to support network and server infrastructure. Data Management: Inventory of content related to each application. End-user guidance regarding data hygiene. Project Management: Using PM methodologies practices by the FI, plan, lead and participate in projects for the good of the FI. Vendor Management: Establish vendor needs, requirements and parameters. Engage in selection, onboarding and management of vendors. Practice lifecycle management of vendors. Ensure secure computing practices in multiple vectors including core subject expertise and the wider FI security posture. Actively design and improve security in core subject areas and as part of the whole institution. Priority bridge resolutions and interrupt-driven tasks. Education & Experience Bachelor's degree in computer science, Information Technology or similar experience. Minimum of 4 years of data management experience, preferably in financial services. Experience with Security software, disaster recovery, firewalls, network monitoring, etc. Must have Windows Server administration experience.

NAPCO Media (*************** a subsidiary of PRINTING United Alliance (*************************** is a fast-paced B2B media organization serving the printing, retail, and nonprofit industries. We specialize in the creation and cross-channel distribution of exceptional content on print and digital platforms such as newsletters, magazines, podcasts, social media, and events. Our mission is to build community between the audiences and clients we serve. Role Summary We are seeking a technical, production-focused Data Analyst to cover a 3-month leave. This role requires someone who can immediately take on survey programming, data cleaning, cross-tabulation, and chart creation with minimal ramp-up. This is not a general market research position - candidates must have hands-on experience with the specific tools and workflows listed below. Core Responsibilities Program surveys in SurveyMonkey, including advanced logic, piping, randomization, and QA. Manage collectors, fielding, troubleshooting, and survey flow validation. Clean and structure raw survey data in Excel (remove bad responses, combine datasets, build clean tables). Create segmented databooks (cross-tabs, banner tables) based on internal specifications. Build PowerPoint chart decks using provided templates and brand formatting. Perform QA on surveys, datasets, and charts to ensure accuracy and consistency. Work closely with the research team to deliver accurate, on-time backend outputs. Required Skills Strong, proven experience with SurveyMonkey programming (not just taking surveys - full setup and logic). Advanced Excel skills for cleaning, organizing, and segmenting data. Experience producing cross-tabs and analyzing survey-based datasets. Strong PowerPoint skills, especially charts and visual formatting. High attention to detail, independence, and reliability. Preferred Experience Prior work in research operations, data processing, or survey analytics. Experience with B2B or market research studies. Familiarity with external survey panels (helpful but not required). Experience with Q software (helpful but not required). Assignment Details Schedule: 30-40 hours/week Duration: 3 months Location: Remote Start: ASAP Focus: Pure production work (no client communication or project management) Email resume to ************. We strive to develop and retain a diverse, equitable, and inclusive workplace where all employees feel they are respected, treated fairly and given equal opportunity to excel in their careers. NAPCO Media is committed to providing equal opportunity for employees and applicants in all aspects of the employment relationship, without regard to race, religion, color, age, gender (including pregnancy, childbirth, or related medical conditions), marital status, parental status, sexual orientation, gender identity, gender expression, ancestry, national origin, citizenship, political affiliation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment decisions are decided on the basis of qualifications, merit, and business needs.

Industry: Retail Salary: $150,000-$175,000 + Bonus Contact: ******************************** Our client is a prominent player in the Apparel sector, committed to fusing fashion with cutting-edge data and technological solutions. Situated in New York, this organization is on the lookout for a Data Science Manager to drive their Operations Intelligence initiatives within the Data & Analytics department. This critical role is pivotal in leveraging advanced analytics, predictive modeling, and state-of-the-art Generative AI technologies to bolster decision-making across key operational areas such as Planning, Supply Chain, Sourcing, Sales, and Logistics. The selected candidate will oversee the integration of data science methodologies into essential operational workflows, aiming to automate processes, improve visibility, accurately forecast business dynamics, and facilitate strategic planning through insightful data analysis. Requirements A minimum of 6 years of experience in the field of data science, with at least 2 years in a leadership or product-related role. Proven ability to apply analytics in complex operational environments such as planning, supply chain, and sourcing. Strong expertise in Python and SQL, along with a solid grasp of cloud-based data ecosystems. Experience with advanced modeling techniques, including forecasting, optimization, and classification. Familiarity with Generative AI technologies or LLMs, combined with a keen interest in leveraging these for practical business applications. Excellent business acumen and communication skills, facilitating effective collaboration between data insights and strategic goals.

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions. Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better . We are seeking a Data Scientist for our First Quality facilities located in McElhattan, PA; Lewistown, PA; and Macon, GA. **Must have manufacturing experience with consumer goods.** The role will provide meaningful insight on how to improve our current business operations. This position will work closely with domain experts and SMEs to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements. Principle Accountabilities/Responsibilities Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features Communicate model performance & results & tradeoffs to stake holders Determine requirements that will be used to train and evolve deep learning models and algorithms Visualize information and develop engaging dashboards on the results of data analysis. Build reports and advanced dashboards to tell stories with the data. Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. Proactively mine data to identify trends and patterns and generate insights for business units and management. Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. 5+ years of experience using large scale data to solve problems and answer questions. Prior experience in the Manufacturing Industry. Skills/Competencies Requirements Experience in building and deploying predictive models and scalable data pipelines Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. Strong problem solving and decision-making skills Ability to explain deep technical information to non-technical parties Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. Strong understanding of data governance/management concepts and practices. Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. Proven history managing stakeholder relationships. Business case development. What We Offer You We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive: Competitive base salary and bonus opportunities Paid time off (three-week minimum) Medical, dental and vision starting day one 401(k) with employer match Paid parental leave Child and family care assistance (dependent care FSA with employer match up to $2500) Bundle of joy benefit (year's worth of free diapers to all team members with a new baby) Tuition assistance Wellness program with savings of up to $4,000 per year on insurance premiums ...and more! First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status. For immediate consideration, please go to the Careers section at ******************** to complete our online application.

About Us: We are a dynamic, rapidly expanding staffing & recruitment services firm based in Uniondale, specializing in talent placements across IT, Engineering, Finance, and Legal sectors. Our mission is to connect top talent with outstanding opportunities, driving success for both candidates and clients. Internship Overview: We're seeking an enthusiastic, detail-oriented Recruitment & Database Management Intern to join our team. This internship provides a unique opportunity for students to gain practical experience in recruitment, human resources processes, database management, and mass mailing initiatives. Key Responsibilities: Assist with recruitment efforts including sourcing candidates through various platforms such as LinkedIn, Indeed, and job boards. Execute mass mailing campaigns to potential clients and candidates to support our outreach efforts. Maintain and update internal databases, ensuring accuracy and completeness of client and candidate information. Support data entry processes related to candidate tracking, job postings, and client interactions. Collaborate closely with experienced recruiters and team members, providing administrative and logistical support as required. What You Will Gain: Hands-on experience with essential HR and recruitment processes. Insight into the staffing and recruitment industry operations and dynamics. Practical skills in database management, communication, and mass mailing strategies. A comprehensive understanding of job markets and candidate-client relationship building. Enhanced organizational and analytical skills within a professional, fast-paced environment. An excellent foundation for students pursuing careers in HR, staffing, recruitment, business development, or related fields. Qualifications: Current enrollment in an undergraduate or graduate program, preferably in Human Resources, Business Administration, Communications, or related fields. Strong organizational skills, detail-oriented with excellent follow-up capabilities. Effective communication and interpersonal skills. Familiarity with Microsoft Office Suite (Word, Excel, Outlook), Google Suite, and interest in learning CRM and database systems. Ability to multitask and adapt quickly in a dynamic, professional environment. Join us for an enriching internship experience and develop the essential skills to propel your future career in recruitment, human resources, and business operations! The training period or internship is unpaid; however, exceptional performance and successful completion of the internship period may lead to an opportunity for part-time paid work.

Data Analyst Internship - Summer 2026 Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. Our global headquarters are located in Nashua, NH and we have design, sales and manufacturing locations globally. We are currently seeking a Data Analytics Intern to join our team. The position will be located onsite in our Valley Green, PA office. RESPONSIBILITIES: The Data Analytics intern will support the team by helping collect, clean, and analyze data to assist in business decision-making and factory optimization. You will contribute to building data visualizations and reports, maintaining data systems, and monitoring key performance indicators. You'll collaborate with cross-functional teams to understand their data needs and help automate routine data processes while gaining hands-on experience with industry tools and best practices. What you'll do: Gain Experience in some of the following aspects: Assist with collecting, cleaning, and validating data from multiple sources Conduct basic statistical analysis to identify trends and insights Build reports and dashboards to communicate findings Support automation of data collection and reporting processes QUALIFICATIONS: A good candidate should be at least a sophomore in Data Science, Applied Mathematics, Statistics, or Analytics program. Experience in data analytics and visualization tools and software, such as Python, R, SQL, or Power BI Strong analytical and problem-solving skills Ability to communicate with technical & non-technical people