Data Scientist
Data engineer job in Trenton, NJ
** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole.
We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands.
We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.
Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.
**Job Description**
ESSENTIAL DUTIES AND RESPONSIBILITIES
+ **Business Partnership & Consulting**
+ Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions.
+ Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience.
+ Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities.
+ Experience advising, presenting to, and serving as a thought partner to senior executives.
+ **Analytics & Insights**
+ Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance).
+ Translate complex data into clear, actionable insights with strong storytelling and visualization.
+ Deliver executive-ready materials that connect people data to business outcomes.
+ Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights.
+ **Advanced People Analytics**
+ Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities.
+ Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities.
+ Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights.
+ **Strategy & Enablement**
+ Guide stakeholders in building a data-driven culture within HR and across the business.
+ Drive adoption of self-service analytics platforms and democratize access to people insights.
**Qualifications**
REQUIRED
+ **Education & Experience**
+ Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field.
+ 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields.
SKILLS
+ **Technical Skills**
+ Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier).
+ Advanced Excel, SQL, or Python/R for data analysis preferred.
+ Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures.
+ **Business & Consulting Skills**
+ Exceptional ability to translate data into business insights and recommendations.
+ Strong stakeholder management, influencing, and storytelling skills.
+ Experience in partnering with senior leaders to drive data-informed decisions
**Additional Information**
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** .
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
\#LI- VV1
**Compensation & Benefits Details**
+ An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
+ The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
+ If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
+ You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards.
+ We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan.
+ **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
**Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .
Data Scientist
Data engineer job in Norristown, PA
We are seeking an experienced Data Scientist to join our Philadelphia team. This position will develop, test, and oversee the data infrastructure of Asylon's DroneCore systems, including data ingestion, data pipelines, data catalogs, and model learning.
Due to the nature of the projects worked on in this position, applicants must be a U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees.
Primary duties include:
* Develop, test, and oversee data ingestion requirements, data pipelines, and data catalogs for data of different modalities, including videos, images, dense time-series data, and sparse metrics.
* Develop new models to perform prediction and classification tasks, as well as refine and specialize existing models.
* Spearhead the development of new data-driven, customer facing features.
* Analyze collected data and produce business insights to improve Asylon processes and products.
Required Skills and Experience:
* Minimum of 5 years of hands-on experience in a Data Science role, with significant focus on real-time or streaming data.
* Background in data science, computer science, mathematics, statistics, or related field
* Data visualization
* Linux
* Large, distributed datasets
* Creating data pipelines and catalogs
* Image and video classification
Preferred Experience:
* Distributed systems
* Cloud computing platforms (Azure, GCP, AWS, etc)
* Kubernetes experience
* Experience with best practices in data governance, including security, ethics, and compliance.
* Leadership experience and experience building a data team
* Python
Job Type: Full-time
Pay: $130,000 - $180,000
Schedule:
* Monday to Friday
* Weekends as needed
Education:
* Bachelor's (Required)
Work Location: In person
Job Type: Full-time
Pay: $130,000.00 - $180,000.00 per year
Benefits:
* 401(k)
* Dental insurance
* Health insurance
* Paid time off
* Relocation assistance
* Vision insurance
Application Question(s):
* Are youa U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees. Yes or No
Experience:
* Linux: 5 years (Required)
* hands-on experience in a Data Science role: 5 years (Required)
Work Location: In person
Lead Data Scientist
Data engineer job in Malvern, PA
Akkodis is seeking a Lead Data Scientist for a Contract with a client in Malvern, PA. Responsible for designing advanced machine learning models and leading data-driven strategies to solve complex business problems. Rate Range: $68/hour to $75/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Lead Data Scientist job responsibilities include:
* Lead the design and development of advanced machine learning models to solve complex business problems and deliver actionable insights.
* Build and optimize scalable data pipelines and architectures, ensuring efficient data processing and integration for model development.
* Collaborate with cross-functional teams, including engineers and business stakeholders, to translate requirements into data-driven solutions.
* Perform exploratory data analysis and feature engineering, leveraging statistical and predictive modeling techniques.
* Deploy, monitor, and maintain machine learning models in production, implementing best practices for MLOps and model lifecycle management.
* Mentor junior data scientists and establish best practices for data science workflows, coding standards, and documentation.
Required Qualifications:
* Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
* Minimum 8+ years in data science, with at least 3 years in a leadership or team lead role.
* Proven experience in building and deploying machine learning models at scale in production environments.
* Strong expertise in Python, SQL, and cloud platforms (AWS, Azure, or GCP), along with excellent communication and stakeholder management skills.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *****************************.
Pay Details: $68.00 to $75.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to *************************************************
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
* The California Fair Chance Act
* Los Angeles City Fair Chance Ordinance
* Los Angeles County Fair Chance Ordinance for Employers
* San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Easy ApplyData Scientist, NLP
Data engineer job in Trenton, NJ
Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.
By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.
You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.
This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:
+ Design and develop models to extract entities, detect intents, and understand document structure
+ Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
+ Evaluate model performance where ground truth is partial, uncertain, or evolving
+ Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.
**Qualifications**
+ 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
+ Proficiency with Python
+ Experience with the latest in language models (transformers, LLMs, etc.)
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
+ Industry experience shepherding ML/AI projects from ideation to delivery
+ Demonstrated ability to influence company KPIs with AI
+ Demonstrated ability to navigate ambiguity
**Bonus Experience**
+ Experience with document layout analysis (using vision, NLP, or both).
+ Experience with Spark/PySpark
+ Experience with Databricks
+ Experience in the healthcare industry
**Responsibilities**
+ Play a key role in the success of our products by developing models for document understanding tasks.
+ Perform error analysis, data cleaning, and other related tasks to improve models.
+ Collaborate with your team by making recommendations for the development roadmap of a capability.
+ Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
+ Understand product use-cases and define key performance metrics for models according to business requirements.
+ Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
**After 3 Months, You Will...**
+ Have a strong grasp of technologies upon which our platform is built.
+ Be fully integrated into ongoing model development efforts with your team.
**After 1 Year, You Will...**
+ Be independent in reading literature and doing research to develop models for new and existing products.
+ Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.
+ Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.
\#LI-BC1
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
The estimated total cash compensation range for this role is:
$136,000-$170,000 USD
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .
Senior Data Consultant
Data engineer job in Marlton, NJ
Job Description
About the Role
As a Data Solutions Consultant, you will play a key role supporting multiple initiatives for enterprise and global customers. This role sits at the intersection of business, data, and technology, working closely with client stakeholders to turn complex requirements into scalable, cloud-based data solutions.
You'll be responsible for gathering business requirements, defining and implementing data models, designing data pipelines, and ensuring insights are delivered to stakeholders in a clear, efficient, and impactful way. The work is performed in a modern cloud environment, leveraging AI-driven tools to improve productivity and accelerate outcomes.
Key Responsibilities
Partner with client stakeholders to gather, clarify, and translate business requirements
Define and implement robust data models using a Medallion architecture
Design and develop scalable, cloud-based data pipelines
Build optimized, user-friendly reporting and analytics solutions
Ensure data is accessible, reliable, and actionable for business stakeholders
Contribute to innovative, AI-enabled approaches to data and analytics delivery
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
2+ years of hands-on experience delivering Data & Analytics projects in cloud environments
Strong communication and collaboration skills with both technical and business stakeholders
Strong problem-solving and analytical capabilities
Proven experience designing and implementing data models in cloud-based environments
(AWS, Azure, or GCP)
Experience using generative AI tools to improve productivity and extract insights
Strong SQL skills and solid understanding of database management systems
Preferred Qualifications
Master's degree in Computer Science, Engineering, or a related field
Cloud or data engineering certifications
Experience developing ETL pipelines using dbt
Life Sciences Marketing Analytics, Data Scientist
Data engineer job in Philadelphia, PA
JPA Health is a fully integrated marketing, communications and medical communications agency for clients ranging from emerging biotech to established pharmaceutical companies and public health organizations. We work exclusively within the health sector. We share our clients' commitment to making people healthier. In fact, some might say we are obsessed with improving and protecting lives. Check out our sizzle reel!
The Role
JPA is searching for a Life Sciences, Marketing Analytics Data Scientist, to join our Integrated Intelligence team. You'll blend analytics, applied statistics, and development to transform omnichannel marketing data into models, dashboards, and insights that fuel behavior change. You'll work across teams to design, measure, and optimize life sciences marketing programs across audiences and channels.
This position is a full-time, hybrid role reporting to any JPA office (i.e., Boston, Washington, DC, Philadelphia, New York City) 2 days per week and working remotely 3 days per week.
Applicants must be authorized to work in the United States without current or future need for visa sponsorship
The Responsibilities
Design and implement data pipelines to ingest, transform, and QA multi-source marketing data (paid, owned, earned, CRM, web, email, social, events, qualitative).
Build statistical models (e.g., regression, classification, forecasting, clustering) to identify performance drivers, segment audiences, and predict outcomes.
Develop fit-for-purpose marketing attribution and contribution approaches based on available data; quantify incrementality where feasible.
Create dashboards and automated reporting that translate complex results into simple, visual stories for technical and non-technical stakeholders.
Plan and analyze A/B and multivariate tests; estimate impact and uncertainty; recommend next-best actions and channel allocations.
Partner with engagement specialists and performance analytics teams to translate insights into channel, message, and audience optimizations throughout the campaign lifecycle.
Document methods, code, and data dictionaries; champion data quality, reproducibility, and privacy-aware measurement.
Present findings to clients; manage timelines and priorities across concurrent projects.
About You
Our ideal candidate must have:
Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, engineering) or equivalent experience.
3-5 years in life sciences marketing analytics, data science, or a related role within an agency or in-house team.
Experience with privacy-aware measurement techniques and working within regulated industries, especially life sciences.
Hands-on coding experience for data wrangling, analysis, and statistical modeling, including version control and code review practices, including working familiarity with Python, R or SQL.
Strong grasp of experimental design, statistical inference, and causal thinking; able to communicate assumptions and limitations clearly.
Experience building automated dashboards and reports; adept at data visualization and storytelling using tools like Tableau and PowerBI.
Familiarity with omnichannel datasets and measurements across paid, owned, and earned media.
Comfortable working with imperfect data and designing solutions that scale.
Excellent communication skills; client-facing presence; collaborative approach with cross-functional partners.
What Makes Us Different
JPA Health offers you the opportunity to work with purpose as you achieve extraordinary results for our clients. You will elevate your career in an environment that thrives at the intersection of wellness, connection, and compassion. Our mission to help people live healthier lives begins with you.
Our approach prioritizes compassion to ensure you and your family flourish. We promote flexibility with adaptable work arrangements for a balanced personal and professional life. Our Collaboration Days are designed to strengthen relationships and enhance well-being. Respect, inclusion, camaraderie, and connection - this is the heart of our agency's ethos. We elevate each other. We work collaboratively. And we push ourselves to think bigger.
In addition, JPA Health offers:
Paid time off when you need it most: 20+ days PTO, 10 holidays, Sabbatical, bereavement & compassion leave, parental leave, civic duty, volunteer time and year-end office closure.
Unlimited access to LinkedIn Learning, internal webinars through JPA's Elevate Institute, tuition reimbursement, paid professional development, and paid learning and development time.
An impressive and comprehensive benefits package that supports you and your family's physical, mental and financial well-being.
Competitive pay and opportunities to advance. The anticipated starting pay for this role is between $107,000 and $120,000 annually, based on a variety of factors including but not limited to experience, qualifications, and location. You may also be eligible for performance-based bonuses. We review compensation annually and evaluate readiness for promotions every quarter.
At JPA Health, we are committed to fostering a culture of Diversity, Equity, and Inclusion (DEI). We believe that our strength lies in the diversity of our team, and we strive to create an environment where every individual feels valued, respected, and heard. We are dedicated to promoting equity in all aspects of our work, ensuring that all employees have equal access to opportunities and resources. We are inclusive, welcoming individuals of all races, genders, sexual orientations, religions, national origins, disabilities, and ages. Our commitment to DEI extends beyond our organization, influencing the work we do and the partnerships we build. We believe that by embracing DEI, we can drive innovation, enhance our services, and contribute to a healthier society.
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require an accommodation in order to apply for a position with JPA Health, please contact us for assistance at ******************.
Auto-ApplyETL/BI/Data reports consultants
Data engineer job in Philadelphia, PA
AYR Global IT Solutions is a national staffing firm focused on cloud, cyber security, web application services, ERP, and BI implementations by providing proven and experienced consultants to our clients.
Our competitive, transparent pricing
model and industry experience make us a top choice of Global System
Integrators and enterprise customers with federal and commercial
projects supported nationwide.
Job Description
Subject: ETL/BI/Data reports consultants
Location: Philadelphia, Pa.
Duration: One year plus
Qualifications
Experience - Must haves!
5+ years coding advanced SQL queries, ETL automation, and stored procedures to support business inquiries
5+ years of demonstrated reporting, analytical, and database experience in a dynamic business environment
Advanced BI/Reporting Tool experience (SSRS) required.
Experience with transforming complex datasets into relevant visualizations
Familiar with relational database technology and terminology
Functional Competencies
SQL coding proficiency (5+ years)
Microsoft Reporting Services (SSRS) - Ability to develop advanced reports, manage subscriptions, etc.
Microsoft Integration Services (SSIS) - Ability to manage SQL Server ETL processes / job failures, etc.
Relational database development (SQL Server, Teradata)
SQL Server - Table, View & Procedure development
Teradata environment experience
Teradata SQL Assistant experience
Excel - Charts, Pivot Tables, Equations, VBA
Tableau experience a plus
Oracle experience a plus
Qualifications
Bachelor's degree required (preferably in Information Systems, Business Intelligence, or Computer Science) with related experience, or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired.
A sound technical background with the ability to analyze complex data sets, business processes, and quickly adapt to the use of new technologies.
Must have excellent communication skills with the ability to share technical capabilities and work cross-functionally between business functions.
Additional Information
If anyone might be intersted please send resumes to kmarsh@ayrglobal (dot) com or you can reach me direct at **************
Data & AI Consultant - Philadelphia - Graduates
Data engineer job in Philadelphia, PA
Thorogood is an independent, specialized, data and analytics consulting firm that works with some of the biggest and best-known companies around the world. We have offices in London, Philadelphia, Boston, Singapore, São Paulo, and Bangalore, and we work as a global unit to service blue chip customers drawing from the consumer goods, pharmaceutical, insurance, and banking sectors, among others. Together, we compete on the basis of our specialism, our people, our independence, high quality, and our experience delivering assuredly for customers over several decades.
We help our customers leverage the latest technologies to make timely, data-driven business decisions. Our multi-skilled teams understand the critical interplay of data engineering, data science, and data visualization. We work across these areas to create business-focused, end-to-end technology solutions robust enough to meet enterprise needs. We recognize the importance of environmental sustainability, both in how we work and in the solutions we build for our clients. Our services span strategy, implementation, advanced analytics services, user empowerment, and support.
Additional information about us, our people, what we do, and some of perspectives can be found on our website here.
About the Position Overview
Our consultants are expected to have a strong interest in business. Understanding our clients' organizations and industries is key to identifying areas of opportunity for us to help. Similarly, consultants must have excellent listening, writing, and presenting skills, alongside the aptitude and motivation to master multiple data-focused technologies in a fast-moving field. This combination of business, people, and technical skills is essential.
Our Brazil and US entities are managed together as one Thorogood Americas in support of development of our business not only in the region, but around the world. We work with our colleagues in the US, UK, India, Singapore, and Brazil to provide effective solutions for our clients situated across the globe. The global nature of our work exposes our consultants to a variety of experiences across industries and cultures. The ability to work collaboratively and effectively as part of a distributed team is therefore imperative for the position.
Our most successful consultants develop a well-rounded set of skills in each of these areas of business, people, and technology. You'll do so via a number of opportunities:
Comprehensive training: During your first months at Thorogood, experienced consultants will introduce you to the technologies we work with, the industries we serve, and the ways in which we develop our business. Crucially, we will share how we live our values. When you've finished, we'll plan to have you working on a client project immediately.
Building your core technology skills: We're the kind of people who learn best by doing. You'll be working on a team locked onto business value for the customer to develop fast, effective, and high-quality technical solutions.
Working with top clients: Thorogood works with some of the biggest and best-known companies in the world. You'll be a part of client interactions, sometimes leading them, to make sure we're keeping our projects on track and delivering value to our customers.
Developing relationships: We consider ourselves trusted advisors for our clients. We earn this trust through listening carefully, sharing the expertise we have acquired, and helping to progress the objectives within their organizations.
Shaping future projects: We are always listening to customers to understand their objectives and needs and working with our consultants to share proposals on how we can help.
Working as part of a supportive project team: You'll be working from our offices in Philadelphia, with occasional travel externally to client sites and internally to other Thorogood offices. Your project teams will be comprised of consultants across many levels of experience, working together daily to support one another along the way.
Becoming an expert, yourself: Our subject matter experts are not necessarily the most tenured people at Thorogood. In the rapidly changing world of data and analytics, we look to all levels of experience to gain expertise in new technologies and analytical techniques.
In addition to project work, Thorogood consultants run our company. We expect you to contribute here, as well:
Helping to grow our business: Interact with current and prospective clients, listen to their needs, and drive business development activities and discussions. Together, we'll consider the business objectives in conjunction with the technical possibilities in order to understand the opportunities for their organizations.
Delivering educationally focused marketing events: Prepare and present informational events for contacts at prospective and current clients.
Fostering vendor partnerships: Help maintain and further our relationships with key vendor partners in the space including Microsoft, Databricks, Amazon Web Services, Google Cloud and others, whose offerings we implement for customers.
Developing our consultancy: Contribute to recruiting, training, and managing our people.
Additional Benefits
We individually select each of our consultants very carefully through our comprehensive interview and assessment process. We place a great deal of value on consultants' growth and wellbeing. In addition to a challenging and rewarding career path, Thorogood offers the following benefits:
Very competitive salary and compensation program
Company-sponsored health, dental, and vision coverage
401(k) program with employer match
Generous vacation allowance with incremental increases over time based on consultant tenure
Incentive programs
Opportunities for national and international travel
Focus on work-life balance
Location and Timing
This position is based at our Center City office in Philadelphia, PA. Our consultants are currently working in a flexible, hybrid work model. However, a level of in-person attendance at our office is required. The expected start date for this position is approximately between January 2026 or July 2026, depending on candidate start date availability.
About You
Qualified candidates must have
Strong interest in business, people, and technology
Strong academic record in a related discipline, including engineering, computer science, mathematics, statistics, business, management, or another business and quantitative-focused field
Bachelor's degree with graduation between December 2025 and June 2026
Candidates must demonstrate effectiveness in
Working individually and as part of project teams
Maintaining responsibility and accountability for quality and work delivery
Client focus and relationship management
Time management and priority setting
Data awareness and business interest
Learning new technologies
This is an entry-level position; no prior full-time employment experience is required. Please do highlight if you have studied or worked with
Cloud BI & Analytics technology platforms, e.g. Databricks, Snowflake, Amazon Web Services, Microsoft Azure, or Google Cloud Platform
SQL, Python, R, Scala, Spark, or any other programming or statistical programming languages and frameworks
Applied mathematics, statistics, probability, machine learning, artificial intelligence, large language models, and/or generative artificial intelligence
Data science, data engineering, data analysis, or data visualization technologies
Managed structured, semi-structured, and unstructured data storage, transformation, or analysis
Integrating data solutions into web applications
Please note: Thorogood will ensure that every employee is authorized to work in the United States. If you are offered employment with the Company, we shall require proof of your authorization to work within the United States. Thorogood does not sponsor applicants for work visas. Applicants must be currently authorized to work within the United States on a full-time basis
Data Scientist- Pennington, NJ
Data engineer job in Pennington, NJ
Work Arrangement: Hybrid (3 days onsite, 2 days remote) Employment Type: Full-time (W2 only - No C2C or 1099) Experience Required: 7+ years
We are seeking a highly skilled Data Scientist with a strong background in machine learning, data modeling, and statistical analysis. The ideal candidate will have at least 7 years of hands-on experience in designing, developing, and deploying ML models, preferably in a risk-related or financial services environment.
This role will support data-driven decision-making processes and help deliver innovative AI/ML solutions in a collaborative and high-performance team setting.
Develop, validate, and implement machine learning and statistical models.
Work with large-scale datasets to extract actionable insights.
Collaborate with cross-functional teams including data engineering, product, and risk teams.
Analyze and interpret the results of model performance and deliver recommendations.
Stay current with emerging trends and tools in AI/ML and model risk management.
Must-Have Skills:
7+ years of experience in Data Science or a related field.
Proficiency in Python for data analysis, modeling, and ML development.
Strong understanding of machine learning algorithms and statistical modeling.
Hands-on experience with data visualization and analytical tools.
Excellent problem-solving and communication skills.
Good to Have:
Experience in Model Risk Development related to ML or LLMs (Large Language Models).
Financial services or risk modeling background.Candidate Requirements:
Local to or willing to commute to Pennington, NJ.
W2 candidates only - no third-party or C2C engagements.
Authorized to work in the United States without sponsorship.
TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
🚫 Third-party recruiters, please do not reach out for this role.
Sr Data Engineer, PySpark
Data engineer job in Trenton, NJ
**A Day in the Life:** The **Senior Data Engineer, PySpark** will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME's within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change.
We expect the starting salary to be around $135k but will be commensurate with experience.
**What You'll Do:**
TECHNICAL LEADERSHIP
+ Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines.
+ Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms
+ Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code
+ Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists
+ Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance
+ Collaborate across developers as part of a SCRUM or Kanban team ensuring collective team productivity
+ Participate in peer reviews and QA processes to drive higher quality
+ Ensure that 100% of code is well documented and maintained in source code repository.
INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING
+ Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows.
TEAMWORK & COMMUNICATION
+ Proactively educate others on basic data management concepts such as data governance, master data management, data warehousing, big data, reporting, data quality, and database performance.
+ Superior & demonstrated team building & development skills to harness powerful teams
+ Ability to communicate effectively with different levels of leadership within the organization
+ Provide timely updates so that progress against each individual incident can be updated as required
+ Write and review high quality technical documentation
CONTROL & AUDIT
+ Ensures their workstation and all processes and procedures, follow organization standards
CONTINUOUS IMPROVEMENT
+ Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set.
**What We're Looking For:**
+ 5+ years professional experience as a data engineer, software engineer, data analyst, data scientist or related role
+ Strongly prefer hands on experience with DataBricks or Palantir
+ Experience with relational and dimensional database modelling (Relational, Kimball, or Data Vault)
+ Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc...)
+ Bachelors or Masters in Computer Science, Information Systems, or an engineering field or equivalent work experience
+ Prefer Travel, transportation, or hospitality experience
+ Prefer experience with designing application data models for mobile or web applications
+ Excellent written and verbal communication skills.
+ Flexibility in scheduling which may include nights, weekends, and holidays preferred
+ Prefer experience with event driven architectures and data streaming pub/sub technologies such as IBM MQ, Kafka, or Amazon Kinesis.
+ Strong capabilities in a scripting language such as Python, R, Scala, etc.
+ Strong capabilities in SQL and experience with stored procedures
+ Strong interpersonal and communication skills with Agile/Scrum experience.
+ Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions.
+ Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels.
**What You'll Get:**
+ Up to 40% off the base rate of any standard Hertz Rental
+ Paid Time Off
+ Medical, Dental & Vision plan options
+ Retirement programs, including 401(k) employer matching
+ Paid Parental Leave & Adoption Assistance
+ Employee Assistance Program for employees & family
+ Educational Reimbursement & Discounts
+ Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
+ Perks & Discounts -Theme Park Tickets, Gym Discounts & more
The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.
**US EEO STATEMENT**
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company.
Individuals are encouraged to apply for positions because of the characteristics that make them unique.
EOE, including disability/veteran
Research Scientist / Data Scientist - AI & Analytics
Data engineer job in Doylestown, PA
Adelphi Research | Advanced Market Research Group (AMG)
About the Role
Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools.
You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights.
What You'll Do
Client Analytics & Research Execution
Execute advanced statistical analyses for pharmaceutical market research studies:
Segmentation analysis (cluster analysis, latent class)
Conjoint analysis (discrete choice, MaxDiff)
Message testing and positioning research
Key driver analysis and predictive modeling
Perform data cleaning, weighting, and quality control for survey data
Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc.
Support project teams with statistical methodology recommendations
Collaborate on study design, questionnaire development, and analytical plans
AI Tool Development & Innovation
Contribute to building and testing R Shiny applications that enhance our research capabilities
Help develop AI-powered qualitative coding tools for open-ended survey responses
Test and refine chatbot interfaces that help clients interact with their data
Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data)
Integrate LLM APIs into existing workflows where appropriate
Experiment with AI applications for research acceleration and automation
Document findings, create user guides, and support internal adoption
Required Qualifications
Core Technical Skills
Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar)
OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R
R Shiny development experience
Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques
Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes
Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses
AI Experience
Evidence of hands-on experimentation with AI tools beyond consumer use.
Built a small project using an LLM API (even if just a personal experiment)
Created a prototype chatbot or AI-enhanced tool
Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs
Experimented with prompt engineering in a programmatic way
Contributed to an AI-related project at work or school
Foundation & Experience
Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required)
2-4 years of experience in applied statistics, data science, or market research analytics
Experience with survey research methodologies preferred
Strong problem-solving skills and attention to detail
Excellent communication skills-ability to explain technical concepts to non-technical audiences
Comfort juggling multiple projects and shifting priorities
Nice-to-Haves (Valued but Not Required)
Domain & Methodology
Experience in pharmaceutical or healthcare market research
Understanding of survey design, sampling, and weighting approaches
Familiarity with FDA regulations or pharmaceutical compliance considerations
Background in segmentation, conjoint analysis, or MaxDiff studies
Technical & Tools
R package development or contribution to open-source projects
Familiarity with Azure, Google Cloud, or AWS
Python + R bilingual coding
Exposure to Bayesian methods or probabilistic models
Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it)
Experience translating SPSS workflows to R
Learning & Development
Work directly with Senior Statisticians leading our AI initiatives
Exposure to diverse therapeutic areas across major pharmaceutical clients
Hands-on experience building production AI tools in a regulated industry
Professional development in both traditional research methods and emerging AI capabilities
Our Working Environment
You'll work directly with the Senior Statisticians and collaborate with:
Project teams serving major pharmaceutical clients
Data science colleagues across AMG
Qualitative researchers and strategic consultants
We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities.
Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient.
To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it.
The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.
$90,000 - $110,000
Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our
Recruitment Privacy Notice
.
Auto-ApplyResearch Scientist / Data Scientist - AI & Analytics
Data engineer job in Doylestown, PA
Adelphi Research | Advanced Market Research Group (AMG)
About the Role
Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools.
You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights.
What You'll Do
Client Analytics & Research Execution
Execute advanced statistical analyses for pharmaceutical market research studies:
Segmentation analysis (cluster analysis, latent class)
Conjoint analysis (discrete choice, MaxDiff)
Message testing and positioning research
Key driver analysis and predictive modeling
Perform data cleaning, weighting, and quality control for survey data
Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc.
Support project teams with statistical methodology recommendations
Collaborate on study design, questionnaire development, and analytical plans
AI Tool Development & Innovation
Contribute to building and testing R Shiny applications that enhance our research capabilities
Help develop AI-powered qualitative coding tools for open-ended survey responses
Test and refine chatbot interfaces that help clients interact with their data
Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data)
Integrate LLM APIs into existing workflows where appropriate
Experiment with AI applications for research acceleration and automation
Document findings, create user guides, and support internal adoption
Required Qualifications
Core Technical Skills
Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar)
OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R
R Shiny development experience
Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques
Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes
Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses
AI Experience
Evidence of hands-on experimentation with AI tools beyond consumer use.
Built a small project using an LLM API (even if just a personal experiment)
Created a prototype chatbot or AI-enhanced tool
Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs
Experimented with prompt engineering in a programmatic way
Contributed to an AI-related project at work or school
Foundation & Experience
Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required)
2-4 years of experience in applied statistics, data science, or market research analytics
Experience with survey research methodologies preferred
Strong problem-solving skills and attention to detail
Excellent communication skills-ability to explain technical concepts to non-technical audiences
Comfort juggling multiple projects and shifting priorities
Nice-to-Haves (Valued but Not Required)
Domain & Methodology
Experience in pharmaceutical or healthcare market research
Understanding of survey design, sampling, and weighting approaches
Familiarity with FDA regulations or pharmaceutical compliance considerations
Background in segmentation, conjoint analysis, or MaxDiff studies
Technical & Tools
R package development or contribution to open-source projects
Familiarity with Azure, Google Cloud, or AWS
Python + R bilingual coding
Exposure to Bayesian methods or probabilistic models
Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it)
Experience translating SPSS workflows to R
Learning & Development
Work directly with Senior Statisticians leading our AI initiatives
Exposure to diverse therapeutic areas across major pharmaceutical clients
Hands-on experience building production AI tools in a regulated industry
Professional development in both traditional research methods and emerging AI capabilities
Our Working Environment
You'll work directly with the Senior Statisticians and collaborate with:
Project teams serving major pharmaceutical clients
Data science colleagues across AMG
Qualitative researchers and strategic consultants
We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities.
Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient.
To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it.
The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.
$90,000 - $110,000
Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our
Recruitment Privacy Notice
.
Auto-ApplyData Scientist
Data engineer job in Camden, NJ
The Cooper Health System is seeking a Data Scientist to join its 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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: ****************************************************
Skills and Requirements
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 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
Data Scientist
Data engineer job in Trenton, NJ
We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database.
The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff.
Responsibilities:
Research and develop statistical learning models for data analysis
Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key staff in DOH
Implement new statistical or other mathematical methodologies as needed for specific models or analyses
Optimize joint development efforts through appropriate database use and project design
This is an hourly position with opportunity for overtime.
**All Candidates Must be Authorized to Legally Work in the US Without Sponsorship**
Qualifications
• Extensive background in data mining and statistical analysis
• Ability to understand various data structures and common methods in data transformation
• Excellent pattern recognition and predictive modeling skills
• Experience with programming languages such as Java/Python is an asset
• HDFS / Data Lake Stores / Analytics
• SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS)
• Analysis Services (Tabular Mode / DAX / Cube concepts)
• Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others)
• Expertise in BI-related data architecture, integration, modeling, and presentation
• Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others)
• Experience with ETL technologies (SQL Server Integration Services, Data Factory)
• At least 5-10 years as a data scientist with all of the skills listed above
• Bachelor's Degree in Computer Science, Statistics, Applied Math or related field
Education Preferred:
• Master Degree in Computer Science, Statistics, Applied Math or related field
Additional Information
$500 Referral Fee Program
Earn extra cash while helping your friends!
VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash.
The rules are simple:
The referral must be made by using the "Refer a friend" button on this page
The person you refer must be placed within 90 days of being referred
The person you refer must complete 480 billable hours
Cannot be someone we already have on our team or are currently working with
VTS3 ONLY works directly with candidates.
All candidates registered must be able to legally work in the United States.
Data Scientist
Data engineer job in Trenton, NJ
VTS3 is a Veteran-owned and operated company which provides full-service Recruiting, Talent Search, Staffing, and IT Professional Services. For more information visit *************
Job Description
We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database.
The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff.
Responsibilities:
Research and develop statistical learning models for data analysis
Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key staff in DOH
Implement new statistical or other mathematical methodologies as needed for specific models or analyses
Optimize joint development efforts through appropriate database use and project design
This is an hourly position with opportunity for overtime.
**All Candidates Must be Authorized to Legally Work in the US Without Sponsorship**
Qualifications
• Extensive background in data mining and statistical analysis
• Ability to understand various data structures and common methods in data transformation
• Excellent pattern recognition and predictive modeling skills
• Experience with programming languages such as Java/Python is an asset
• HDFS / Data Lake Stores / Analytics
• SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS)
• Analysis Services (Tabular Mode / DAX / Cube concepts)
• Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others)
• Expertise in BI-related data architecture, integration, modeling, and presentation
• Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others)
• Experience with ETL technologies (SQL Server Integration Services, Data Factory)
• At least 5-10 years as a data scientist with all of the skills listed above
• Bachelor's Degree in Computer Science, Statistics, Applied Math or related field
Education Preferred:
• Master Degree in Computer Science, Statistics, Applied Math or related field
Additional Information
$500 Referral Fee Program
Earn extra cash while helping your friends!
VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash.
The rules are simple:
The referral must be made by using the "Refer a friend" button on this page
The person you refer must be placed within 90 days of being referred
The person you refer must complete 480 billable hours
Cannot be someone we already have on our team or are currently working with
VTS3 ONLY works directly with candidates.
All candidates registered must be able to legally work in the United States.
Marketing Data Scientist
Data engineer job in Springfield, PA
Check out what we have for you….
· Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match!
· Access top-notch medical, dental, and vision benefits, including Telemedicine.
· Boost your health with our wellness program and incentives.
· Enjoy peace of mind with company-paid life insurance.
· Celebrate with company-paid holidays and other paid time off.
· Take advantage of Parental Leave to care for your family.
· Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program.
· Find support through our Employee Assistance Program.
· Get access to the WBAC Gear Store for company swag.
· A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results.
· An inclusive atmosphere that values diverse voices.
Get to Know Us!
CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot.
Job Summary:
The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position.
Key Duties and Responsibilities:
· Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data.
· Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies.
· Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI.
· Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts.
· Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization.
· Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies.
· Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes.
· Validate impact of Marketing Campaigns through experiments and causal analysis.
Key Skills and Abilities:
· Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail.
· Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies.
· Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders.
· Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions.
· Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning.
· Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach.
· Proficient with company-based systems, Microsoft Windows and Office Suite applications.
Educational Requirements and Experience*:
· Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field.
· Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing.
· Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar).
· Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn).
· Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL).
· Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
· Familiarity with creating data analysis plans and executing A/B testing methodologies.
Physical Requirements:
· Prolonged periods of sitting at a desk and working on a computer.
· Must be able to lift to 15 pounds at times.
Auto-ApplyMarketing Data Scientist
Data engineer job in Springfield, PA
Job Description
Check out what we have for you….
· Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match!
· Access top-notch medical, dental, and vision benefits, including Telemedicine.
· Boost your health with our wellness program and incentives.
· Enjoy peace of mind with company-paid life insurance.
· Celebrate with company-paid holidays and other paid time off.
· Take advantage of Parental Leave to care for your family.
· Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program.
· Find support through our Employee Assistance Program.
· Get access to the WBAC Gear Store for company swag.
· A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results.
· An inclusive atmosphere that values diverse voices.
Get to Know Us!
CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot.
Job Summary:
The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position.
Key Duties and Responsibilities:
· Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data.
· Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies.
· Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI.
· Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts.
· Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization.
· Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies.
· Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes.
· Validate impact of Marketing Campaigns through experiments and causal analysis.
Key Skills and Abilities:
· Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail.
· Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies.
· Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders.
· Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions.
· Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning.
· Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach.
· Proficient with company-based systems, Microsoft Windows and Office Suite applications.
Educational Requirements and Experience*:
· Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field.
· Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing.
· Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar).
· Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn).
· Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL).
· Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
· Familiarity with creating data analysis plans and executing A/B testing methodologies.
Physical Requirements:
· Prolonged periods of sitting at a desk and working on a computer.
· Must be able to lift to 15 pounds at times.
Microsoft Dynamics 365 CE Data Migration Consultant
Data engineer job in Middletown, PA
Data-Core Systems, Inc. is a provider of information technology, consulting and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit *****************************
Our client is a roadway system and as a part of their digital transformation they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE.
Data-Core Systems Inc. is seeking Microsoft Dynamics 365 CE Data Migration Consultant to be a part of our Consulting team. You will be responsible for planning, designing, and executing the migration of customer, account, vehicle, financial, and transaction data from a variety of source systems-including legacy CRMs, ERPs, SQL databases, flat files, Excel, cloud platforms, and tolling systems-into Microsoft Dynamics 365 Customer Engagement (CE). This role involves understanding complex data models, extracting structured and unstructured data, transforming and mapping it to Dynamics CE entities, and ensuring data quality, integrity, and reconciliation throughout the migration lifecycle.
Roles & Responsibilities:
Analyze source system data structures, including customer profiles, accounts, vehicles, transponders, payment methods, transactions, violations, invoices, and billing records
Identify critical data relationships, parent/child hierarchies, and foreign key dependencies
Develop detailed data mapping and transformation documentation from source systems to Dynamics 365 CE entities (standard and custom)
Build, test, and execute ETL pipelines using tools such as SSIS/KingswaySoft, Azure Data Factory, Power Platform Dataflows, or custom .NET utilities
Perform data cleansing, normalization, deduplication, and standardization to meet Dynamics CE data model requirements
Execute multiple migration cycles, including test loads, validation, and final production migration
Ensure referential integrity, high data quality, and accuracy of historical data
Generate reconciliation reports, resolve data inconsistencies, and troubleshoot migration errors
Document migration strategies, execution runbooks, and transformation rules for future reference
Required Skills & Experience:
8-12 years of proven experience migrating data from tolling systems, transportation platforms, legacy CRMs, or other high-volume transactional systems
Strong SQL skills for complex queries, stored procedures, data transformation, and data validation
Hands-on experience with Microsoft Dynamics 365 CE / CRM data model, entities, and relationships
Proficiency with ETL/migration tools: SSIS with KingswaySoft, Azure Data Factory, Power Platform Dataflows, Custom C#/.NET migration scripts
Experience with large-scale migrations involving millions of records
Strong understanding of relational data structures such as: Customer ⇄ Account ⇄ Vehicle ⇄ Transponder ⇄ Transaction
Ability to analyze large datasets, identify anomalies, and resolve inconsistencies
Bachelor's degree in engineering or a bachelor's degree in technology from a recognized university
Preferred Skills & Experience:
Experience with financial transactions, billing data, or violation/enforcement records.
Experience in enterprise-scale Dynamics 365 CE migrations.
Familiarity with data governance, security, and compliance requirements for financial or transportation data.
Knowledge of historical data migration and archival strategies.
We are an equal opportunity employer.
Business Intelligence Data Engineer
Data engineer job in Philadelphia, PA
Cozen O'Connor is hiring a Business Intelligence Architect to join the IS team. This position is a staff-level role on the Enterprise Data Services team. The individual in this role is responsible for the design, development, and maintenance of data presentation tools within Cozen O'Connor. The role also participates in data engineering responsibilities in collaboration with other team members.
Responsibilities
Learn and maintain an understanding of the transactional system data used throughout the firm, and the end-user delivery methods for reporting and dashboards.
Development, administration, and support of the firms' PowerBI-based reporting and dashboards.
Administration, support and preparation for decommissioning of the firms' Qlik-based reporting/dashboard tools.
Act as the (internal) user-facing subject matter expert on firm-wide reporting tools and design practices.
Apply best practices for Data Governance and Metadata Management.
Create and maintain well organized and easy to use documentation for end-user applications.
In collaboration with IS Compliance team, provide evidence as required to satisfy audit requirements and ISO certification renewal.
Qualifications
Minimum of 4 years of development experience with PowerBI.
Minimum of 4 years of development experience with Microsoft Fabric ETL methods.
Some development experience with Qlik Suite (Qlik Sense, NPrinting) is preferred, but not required.
Some experience with source control/release processes using Azure DevOps as a repository, as well as Git for version comparison.
BS or BA Degree in Information Systems, Information Technology or other related field and/or commensurate work experience.
Knowledge of enterprise-scale data management methodology, best practices, and associated frameworks (DAMA DMBOK, etc.).
Expert-level proficiency in working with technical and non-technical users to facilitate data presentation needs.
Some experience with T-SQL query building preferred.
Excellent analytical and communication skills.
Auto-ApplyMicrosoft Dynamics 365 CE Data Migration Consultant
Data engineer job in Middletown, PA
Job DescriptionSalary:
Data-Core Systems, Inc. is a provider of information technology, consulting and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit*****************************
Our client is a roadway system and as a part of their digital transformation they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE.
Data-Core Systems Inc. is seeking Microsoft Dynamics 365 CE Data Migration Consultantto be a part of our Consulting team. You will be responsible for planning, designing, and executing the migration of customer, account, vehicle, financial, and transaction data from a variety of source systemsincluding legacy CRMs, ERPs, SQL databases, flat files, Excel, cloud platforms, and tolling systemsinto Microsoft Dynamics 365 Customer Engagement (CE). This role involves understanding complex data models, extracting structured and unstructured data, transforming and mapping it to Dynamics CE entities, and ensuring data quality, integrity, and reconciliation throughout the migration lifecycle.
Roles & Responsibilities:
Analyze source system data structures, including customer profiles, accounts, vehicles, transponders, payment methods, transactions, violations, invoices, and billing records
Identify critical data relationships, parent/child hierarchies, and foreign key dependencies
Develop detailed data mapping and transformation documentation from source systems to Dynamics 365 CE entities (standard and custom)
Build, test, and execute ETL pipelines using tools such as SSIS/KingswaySoft, Azure Data Factory, Power Platform Dataflows, or custom .NET utilities
Perform data cleansing, normalization, deduplication, and standardization to meet Dynamics CE data model requirements
Execute multiple migration cycles, including test loads, validation, and final production migration
Ensure referential integrity, high data quality, and accuracy of historical data
Generate reconciliation reports, resolve data inconsistencies, and troubleshoot migration errors
Document migration strategies, execution runbooks, and transformation rules for future reference
Required Skills & Experience:
8-12 years of proven experience migrating data from tolling systems, transportation platforms, legacy CRMs, or other high-volume transactional systems
Strong SQL skills for complex queries, stored procedures, data transformation, and data validation
Hands-on experience with Microsoft Dynamics 365 CE / CRM data model, entities, and relationships
Proficiency with ETL/migration tools: SSIS with KingswaySoft, Azure Data Factory, Power Platform Dataflows, Custom C#/.NET migration scripts
Experience with large-scale migrations involving millions of records
Strong understanding of relational data structures such as: Customer Account Vehicle Transponder Transaction
Ability to analyze large datasets, identify anomalies, and resolve inconsistencies
Bachelors degree in engineering or a bachelors degree in technology from a recognized university
Preferred Skills & Experience:
Experience with financial transactions, billing data, or violation/enforcement records.
Experience in enterprise-scale Dynamics 365 CE migrations.
Familiarity with data governance, security, and compliance requirements for financial or transportation data.
Knowledge of historical data migration and archival strategies.
We are an equal opportunity employer.