Data Engineer
Data scientist job in Lancaster, PA
Contract-to-Hire (6 months)
Lancaster, PA
We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure that support analytics, AI, and data-driven decision-making. This role is hands-on and focused on building reliable, well-modeled datasets across modern cloud and lakehouse platforms. You will partner closely with analytics, data science, and business teams to deliver high-quality data solutions.
Key Responsibilities
Design, build, and optimize batch and real-time data pipelines for ingestion, transformation, and delivery
Develop and maintain data models that support analytics, reporting, and machine learning use cases
Design scalable data architecture integrating structured, semi-structured, and unstructured data sources
Build and support ETL / ELT workflows using modern tools (e.g., dbt, Airflow, Databricks, Glue)
Ingest and integrate data from multiple internal and external sources, including APIs, databases, and cloud services
Manage and optimize cloud-based data platforms (AWS, Azure, or GCP), including lakehouse technologies such as Snowflake or Databricks
Implement data quality, validation, governance, lineage, and monitoring processes
Support advanced analytics and machine learning data pipelines
Partner with analysts, data scientists, and stakeholders to deliver trusted, well-structured datasets
Continuously improve data workflows for performance, scalability, and cost efficiency
Contribute to documentation, standards, and best practices across the data engineering function
Required Qualifications
3-7 years of experience in data engineering or a related role
Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
Hands-on experience with modern data platforms (Snowflake, Databricks, or similar)
Experience building and orchestrating data pipelines in cloud environments
Working knowledge of cloud services (AWS, Azure, or GCP)
Experience with version control, CI/CD, and modern development practices
Strong analytical, problem-solving, and communication skills
Ability to work effectively in a fast-paced, collaborative environment
Preferred / Nice-to-Have
Experience with dbt, Airflow, or similar orchestration tools
Exposure to machine learning or advanced analytics pipelines
Experience implementing data governance or quality frameworks
Familiarity with SAP data platforms (e.g., BW, Datasphere, Business Data Cloud)
Experience using LLMs or AI-assisted tooling for automation, documentation, or data workflows
Relevant certifications in cloud, data platforms, or AI technologies
Data Scientist
Data scientist job in Harrisburg, PA
** 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 (AI/ML Federal Finance and Audit)
Data scientist job in New Cumberland, PA
Significance is a woman-owned consulting firm serving the federal government. We are known for building trusted relationships within our teams and with our clients and hiring the highest-level experts who implement innovative solutions. We also like to have fun! Our focus on culture has contributed to Significance being named a Washington Business Journal Best Place to Work each of the last seven years.
Join the growing team at Significance, Inc. as a Data Scientist! This position requires an Active Secret clearance and offers a primarily remote schedule with occasional on-site work in New Cumberland, PA. The Data Scientist develops and validates AI/ML models to automate reconciliation, anomaly detection, and financial reporting in support of finance and audit priorities. Working within Advana Mercury, this role builds pipelines, integrates models with ERP systems, and ensures outputs meet audit requirements.Required Skills:
Bachelor's degree in Data Science, Computer Science, or related field.
3-5 years of experience in applied data science or advanced analytics.
Hands-on development or integration experience within ADVANA or equivalent DoD platforms.
Proficiency in Python, SQL, and machine learning libraries.
Familiarity with ERP and financial data structures.
Active Secret clearance.
Desired Skills:
Exposure to ADVANA's Jupiter or Mercury enclaves, including data pipelines and dashboards.
Experience with Kubernetes, Docker, AWS GovCloud, or Azure Gov.
Knowledge of audit processes, data, or inventory reconciliation.
Understanding of LLMs, RAG workflows, or GenAI implementations.
Experience supporting financial analysts or auditors in federal environments.
$150,000 - $170,000 a year
At Significance, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a comprehensive and generous benefits package.
We are an E-Verify Employer********************************************** Contents/E-Verify_Participation_Poster.pdf**************************************************************************************
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Auto-ApplyData Scientist, NLP
Data scientist job in Harrisburg, PA
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 (**************************************** .
Data Scientist
Data scientist job in Wayne, PA
Data Consultant - 87IB5E
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Hartford Funds is seeking a thoughtful and versatile Data Scientist to join our growing Emerging Tech and AI team. This role combines core modeling and analytics expertise with a strong awareness of modern AI, automation, and workflow technologies. Ideal candidates are hands-on with data, comfortable with ambiguity, and motivated to create value through intelligent systems and automation.
Key Responsibilities
Develop and deploy statistical and machine learning models to solve a range of business problems, including forecasting, classification, segmentation, and causal inference.
Collaborate across business and technology teams to scope projects, identify opportunities, and deliver actionable insights.
Contribute to AI and automation-related initiatives, helping evaluate and implement GenAI and workflow solutions.
Support scalable data solutions using modern cloud tools and APIs, and help maintain analytical and data science codebases.
Education & Experience
Education
Bachelor's degree in Statistics, Computer Science, Mathematics, or a related discipline.
Master's degree in Statistics, Computer Science, Mathematics, or a related discipline.
Experience
Minimum 4 years of hands-on experience in data science or a related field.
Preferred 6+ years of hands-on experience in data science or a related field.
Required Skills
Strong foundation in statistical modeling and machine learning, including regression, time series forecasting, tree-based algorithms, optimization, and causal analysis. You should be comfortable applying the right methods to the right problems.
Strong Python and SQL. Familiarity with R is a plus, especially for supporting legacy code.
Understanding of the Microsoft Copilot ecosystem; including Copilot Studio, Azure Foundry, and prompting best practices. Experience building or configuring Copilot agents is a huge plus.
Experience working with Snowflake or a similar cloud data platform.
Ability to work with APIs, write modular and reproducible code, and support basic data engineering tasks (e.g., pipeline design, version control).
Preferred Qualifications
Familiarity with robotic process automation tools such as UiPath, Power Automate, or similar platforms.
Awareness of workflow automation tools (e.g., n8n, Apache Airflow, etc) and how they integrate with predictive models or LLMs.
Understanding of how automation, GenAI, and decision systems can be orchestrated to create agentic or semi-autonomous solutions.
Exposure to MLOps or DevOps practices such as CI/CD pipelines, model versioning, or containerization.
General understanding of Salesforce and its role in enterprise data ecosystems.
Additional Qualities We Value
Strong communication skills with the ability to translate technical work into clear, business-relevant insights.
Ability to balance hands-on technical development with broader strategic thinking.
Curiosity about emerging technologies and a pragmatic approach to applying them in real business contexts.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$120,000 - $150,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits
Auto-ApplyData Scientist
Data scientist job in Lebanon, PA
Job Description
APR Supply Co. is a century-strong leader in the HVAC and Plumbing distribution industry - and we're redefining how data powers our business. As part of our ongoing digital transformation, we're building a modern, AI-enabled data platform centered on Microsoft Fabric to unlock intelligent insights, automate operations, and elevate customer experience.
We're seeking an accomplished Data Scientist to help architect and advance this platform-integrating structured and unstructured data, enabling intelligent analytics, and driving the adoption of AI technologies across the enterprise. This is a new, high-impact position with strong executive support and tremendous opportunity to shape the future of data and AI at APR.
If you're a data innovator eager to build from the ground up-combining deep technical expertise with strategic influence-this is your chance to make a lasting mark.
The Opportunity
As APR's Data Scientist, you'll take the lead in developing our Microsoft Fabric-based data ecosystem, from data lake ingestion and transformation to the creation of advanced analytics and AI models.
You'll play a hands-on role designing Power BI dashboards and semantic models, while also pioneering the use of multimodal RAG (Retrieval-Augmented Generation), Copilot-style assistants, and AI-driven enrichment of text, image, and video data.
This is a greenfield opportunity to define data excellence at APR-turning raw information into real-time decision intelligence and next-generation automation.
What You'll Do
Develop and maintain our Microsoft Fabric data lake and pipelines (OneLake, Dataflows Gen2, Spark).
Build high-performance Power BI models and dashboards that enable enterprise-wide analytics.
Integrate structured and unstructured data (text, images, documents, video) into a unified data ecosystem.
Contribute to AI-driven solutions, including Retrieval-Augmented Generation (RAG) and Copilot-style tools.
Collaborate with cross-functional teams to turn raw data into strategic business insights.
What You Bring
5+ years of experience in data science, analytics, or BI development.
Strong hands-on skills with Power BI, SQL, and Python.
Experience with Microsoft Fabric, Azure Data Factory, or Synapse Pipelines.
Familiarity with AI, NLP, or unstructured data processing.
Excellent communication skills and the ability to partner with technical and business leaders.
Why Join APR Supply Co.?
Build the Future: Lead the design of our next-generation AI and data platform.
Innovate with Purpose: Apply advanced analytics and AI to solve real business challenges.
High Visibility: Work directly with executive leadership to influence enterprise strategy.
Career Advancement: Grow toward leadership in AI engineering, data architecture, or product analytics.
Join us in shaping the data future of a century-old company transforming through innovation.
#IND-APR
#ZIP-APR
Data Scientist (Technical Leadership)
Data scientist job in Harrisburg, PA
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
13. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
15. Masters or Ph.D. Degree in a quantitative field
16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
17. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Senior Data Scientist
Data scientist job in Harrisburg, PA
Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line.
*What you'll be doing:*
* Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making.
* Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
* Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
* Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders.
*What we look for in you:*
* A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
* Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
* Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
* Practical expertise in applying complex modeling frameworks to practical business problems.
* Professional experience using SQL and Python.
* Experience working with digital products in an iterative development cycle.
* Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process.
ID: G2462
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)).
Pay Range:
$180,370-$212,200 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations***********************************
*Global Data Privacy Notice for Job Candidates and Applicants*
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required.
*AI Disclosure*
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com
Data Scientist
Data scientist job in Harrisburg, PA
Greetings from Fabergent, Kindly let me know if you are currently available in the job market Feel free to reach me on ************ or tissa ATfabergent.com Please respond with your updated profile if interested Job Title : Data Scientist
Duration: 6 months
Job Description:
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company's data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
Additional Information
All your information will be kept confidential according to EEO guidelines.
Senior Data Scientist
Data scientist job in Harrisburg, PA
**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions.
This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment.
Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career.
EXPERTISE
+ Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas.
+ Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies.
+ Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems.
+ Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience.
COMPLEXITY
+ Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution.
+ Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns.
+ Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences.
SCOPE AND IMPACT
+ Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points.
+ Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches.
+ Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues.
+ Has significant operational impact across their function.
**What You'll Do**
+ Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units
+ Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems:
+ Create breakthrough solutions, performing exploratory and targeted data analyses
+ Undertake preprocessing of structured and unstructured data
+ Monitor and sustain model effectiveness
+ Present complex information using data visualization techniques
+ Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing
+ Identify long-term technical innovations while continuously improving execution efficiency
+ Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement.
+ Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms.
+ Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
+ Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive.
+ Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff.
**Your Skills & Abilities (Required Qualifications)**
+ Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models
+ Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages
+ Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression
+ Prior experience with paid, earned, and owned media
+ Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
**What Can Give You a Competitive Advantage (Preferred Qualifications)**
+ Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation:
+ The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position.
+ **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance.
+ **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
\#LI-CC1
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. 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.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company (**************************************************
**Our Culture**
**How we hire (************************************************
Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations (********************************************
We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .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.
Senior Data Scientist
Data scientist job in Harrisburg, PA
**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes.
**Responsibilities:**
+ Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems
+ Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making
+ Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives
+ Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability
+ Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit
+ Drives experimentation and A/B testing strategies to optimize business outcomes
+ Mentors junior data scientists and contributes to the development of a high-performing analytics team
+ Ensures data quality, governance, and compliance with organizational and regulatory standards
+ Stays current with industry trends, emerging technologies, and best practices in data science and AI
+ Contributes to the development of internal knowledge bases, documentation, and training materials
**Qualifications:**
+ 8-12 years of experience in data science, analytics, or a related field (preferred)
+ Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred
+ Strong programming skills in Python and SQL;
+ Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights
+ Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques
+ Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable
+ Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences
+ Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP).
+ Experience with PyTorch or other deep learning frameworks
+ Strong understanding of RESTful APIs and / or data streaming a big plus
+ Required experience of modern version control (GitHub, Bitbucket)
+ Hands-on experience with containerization (Docker, Kubernetes, etc.)
+ Experience with product discovery and design thinking
+ Experience with Gen AI
+ Experience with supply chain analytics is preferred
**Anticipated salary range:** $123,400 - $176,300
**Bonus eligible:** Yes
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
\#LI-Remote
\#LI-AP4
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Senior Actuary
Data scientist job in Harrisburg, PA
We are seeking a Senior Actuary to lead pricing activities across major commercial and personal lines of business. This role is pivotal in shaping financial strategy through advanced actuarial analysis. The Senior Actuary will apply expert-level actuarial techniques to recommend profitable pricing structures, contributing directly to the company's financial performance.
As a strategic partner across the organization, the Senior Actuary oversees the development of rate filings, monitors regulatory and rate bureau activity, and collaborates with senior leadership on corporate rate matters.
The ideal candidate will reside in the Harrisburg PA area.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Business Acumen
Oversees the preparation of rate filings that include appropriate supporting exhibits and documentation, and that reflect anticipated regulatory issues
Monitors the activity of rate bureaus and regulator agencies.
Keeps apprised of changes, developments, and new research and methods in ratemaking.
As company representative, participates in external rate bureau and industry committee activities in order to develop more effective actuarial methods for internal use and improve upon the current level of knowledge in the actuarial field.
Negotiation
Clearly communicates recommendations to the Loss Reserve Committee, Underwriting Operations management, or ERM Committee, and communicates with senior management about corporate rate, reserve issues.
Conducts research and makes recommendations regarding emerging topics in actuarial-related insurance issues.
Results Oriented
Develops or directs the development of computer application systems for analysis, manipulation, and reporting of actuarial data.
Advises and acts as consultant to the Company Underwriting Operations and Claims Divisions with regard to data analysis.
Time & Priority Management
Plans and directs all actuarial activities involved with pricing for all major lines of business.
Supervises Pricing Analyst, actuarial assistant(s), and/or actuarial trainee staff .
May supervise the activities of technical staff as needed and serve as mentor to and has assignment authority over the Rate Analyst, Pricing Analyst, and/or Actuarial Assistant(s).
Decision Making
Accurately and completely analyzes data and information in order to make recommendations of profitable rate and price levels.
Performs other duties as may be assigned by the Senior Actuary or Vice President, Actuarial
SPECIAL RELATIONSHIPS
Interacts with all levels of the organization internally, as well as interaction with external regulatory agencies.
QUALIFICATIONS
Education/Credentials
Bachelor of Science degree in mathematics, actuarial science or similar curriculum providing rigorous analytical training
Associate of the Casualty Actuarial Society required, Fellow preferred
Experience
Minimum of 6 years of general Actuarial experience. Prefer prior experience to include 4 years of ratemaking as appropriate
Technical/Professional Knowledge
Requires a high level of quantitative analytical skills
Familiarity with property and casualty insurance accounting and finance
A high level of proficiency in personal computer spreadsheet and database skills
Familiarity with legal and regulatory requirements for ratemaking and filing
Strong organizational skills
Must possess good written and oral communication skills
JOB REQUIREMENTS (as required by ADA - Americans with Disabilities Act)
This position is primarily a sedentary position that requires occasional standing and walking throughout the office environment.
Must be able to see and effectively use a computer monitor.
Must be able to operate a computer, keyboard and applicable printers and other general office equipment.
Must be able to access and enter information accurately using automated systems.
Must be able to hear and communicate via the telephone and/or monitoring devices to both internal and external clients.
Must be able to present information to individuals and groups.
Must be able to interpret and apply concepts that may or may not be based upon established guidelines.
Must be able to maintain acceptable attendance and adhere to scheduled work hours.
Must have a valid driver's license and be able to operate a motor vehicle.
Must be able to travel, with overnight stays required.
Auto-ApplySenior Data Engineer
Data scientist job in Mechanicsburg, PA
**Advance Local** is looking for a **Senior Data Engineer** to design, build, and maintain the enterprise data infrastructure that powers our cloud data platform. This position will combine your deep technical expertise in data engineering with team leadership responsibilities for data engineering, overseeing the ingestion, integration, and reliability of data systems across Snowflake, AWS, Google Cloud, and legacy platforms. You'll partner with data product and across business units to translate requirements into technical solutions, integrate data from numerous third-party platforms, (CDPs, DMPs, analytics platforms, marketing tech) into central data platform, collaborate closely with the Data Architect on platform strategy and ensure scalable, well-engineered solutions for modern data infrastructure using infrastructure as code and API-driven integrations.
The base salary range is $120,000 - $140,000 per year.
**What you'll be doing:**
+ Lead the design and implementation of scalable data ingestion pipelines from diverse sources into Snowflake.
+ Partner with platform owners across business units to establish and maintain data integrations from third party systems into the central data platform.
+ Architect and maintain data infrastructure using IAC, ensuring reproducibility, version control and disaster recovery capabilities.
+ Design and implement API integrations and event-driven data flows to support real time and batch data requirements.
+ Evaluate technical capabilities and integration patterns of existing and potential third-party platforms, advising on platform consolidation and optimization opportunities.
+ Partner with the Data Architect and data product to define the overall data platform strategy, ensuring alignment between raw data ingestion and analytics-ready data products that serve business unit needs.
+ Develop and enforce data engineering best practices including testing frameworks, deployment automation, and observability.
+ Support rapid prototyping of new data products in collaboration with data product by building flexible, reusable data infrastructure components.
+ Design, develop, and maintain scalable data pipelines and ETL processes; optimize and improve existing data systems for performance, cost efficiency, and scalability.
+ Collaborate with data product, third-party platform owners, Data Architects, Analytics Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver technical solutions that enable business outcomes across the organization.
+ Implement data quality validation, monitoring, and alerting systems to ensure reliability of data pipelines from all sources.
+ Develop and maintain comprehensive documentation for data engineering processes and systems, architecture, integration patterns, and runbooks.
+ Lead incident response and troubleshooting efforts for data pipeline issues, ensuring minimal business impact.
+ Stay current with the emerging data engineering technologies, cloud services, SaaS platform capabilities, and industry best practices.
**Our ideal candidate will have the following:**
+ Bachelor's degree in computer science, engineering, or a related field
+ Minimum of seven years of experience in data engineering with at least two years in a lead or senior technical role
+ Expert proficiency in Snowflake data engineering patterns
+ Strong experience with AWS services (S3, Lambda, Glue, Step Functions) and Google Cloud Platform
+ Experience integrating data from SaaS platforms and marketing technology stacks (CDPs, DMPs, analytics platforms, CRMs)
+ Proven ability to work with third party APIs, webhooks, and data exports
+ Experience with infrastructure such as code (Terraform, Cloud Formation) and CI/CD pipelines for data infrastructure
+ Proven ability to design and implement API integrations and event-driven architecture
+ Experience with data modeling, data warehousing, and ETL processes at scale
+ Advanced proficiency in Python and SQL for data pipeline development
+ Experience with data orchestration tools (airflow, dbt, Snowflake tasks)
+ Strong understanding of data security, access controls, and compliance requirements
+ Ability to navigate vendor relationships and evaluate technical capabilities of third-party platforms
+ Excellent problem-solving skills and attention to detail
+ Strong communication and collaboraion skills
**Additional Information**
Advance Local Media offers competitive pay and a comprehensive benefits package with affordable options for your healthcare including medical, dental and vision plans, mental health support options, flexible spending accounts, fertility assistance, a competitive 401(k) plan to help plan for your future, generous paid time off, paid parental and caregiver leave and an employee assistance program to support your work/life balance, optional legal assistance, life insurance options, as well as flexible holidays to honor cultural diversity.
Advance Local Media is one of the largest media groups in the United States, which operates the leading news and information companies in more than 20 cities, reaching 52+ million people monthly with our quality, real-time journalism and community engagement. Our company is built upon the values of Integrity, Customer-first, Inclusiveness, Collaboration and Forward-looking. For more information about Advance Local, please visit ******************** .
Advance Local Media includes MLive Media Group, Advance Ohio, Alabama Media Group, NJ Advance Media, Advance Media NY, MassLive Media, Oregonian Media Group, Staten Island Media Group, PA Media Group, ZeroSum, Headline Group, Adpearance, Advance Aviation, Advance Healthcare, Advance Education, Advance National Solutions, Advance Originals, Advance Recruitment, Advance Travel & Tourism, BookingsCloud, Cloud Theory, Fox Dealer, Hoot Interactive, Search Optics, Subtext.
_Advance Local Media is proud to be an equal opportunity employer, encouraging applications from people of all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, genetic information, national origin, age, disability, sexual orientation, marital status, veteran status, or any other category protected under federal, state or local law._
_If you need a reasonable accommodation because of a disability for any part of the employment process, please contact Human Resources and let us know the nature of your request and your contact information._
Advance Local Media does not provide sponsorship for work visas or employment authorization in the United States. Only candidates who are legally authorized to work in the U.S. will be considered for this position.
SAP BRIM Data Migration Consultant
Data scientist job in Harrisburg, 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 an SAP BRIM Data Migration Consultant to join our Consulting team. You will participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have the opportunity to work with other SME consultants from our existing team.
Roles & Responsibilities:
Migrate data from external sources to SAP BRIM
Support Full Life Cycle Migration, including mapping to new systems
Ensure accuracy and integrity of data and applications through analysis, coding, documenting, testing and problem solving
Set up the development environment and configuration of the development tools
Contribute to Cloud Operations for running application systems on a large scale
Required Skills & Experience:
Minimum 8-12 years of relevant experience is required
5+ years of hands-on experience in SAP BRIM
Knowledge in Data Profiling and Data Validation
Bachelor's degree in engineering or a bachelor's degree in technology from a recognized university
We are an equal opportunity employer.
Sr Data Engineer, Palantir
Data scientist job in Harrisburg, PA
**A Day in the Life:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry.
The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence.
We expect the starting salary to be around $135k but will be commensurate with experience.
**What You'll Do:**
Day-to-Day Responsibilities
+ Work in balanced teams consisting of Product Managers, Product Designers, and engineers
+ Test first - We strive for Test-Driven Development (TDD) for all production code
+ CI (Continuous Integration) everything - Automation is core to our development process
+ Architect user-facing interfaces and design functions that help users visualize and interact with their data
+ Contribute to both frontend and backend codebases to enhance and develop projects
+ Build software at a sustainable pace to ensure longevity, reliability, and higher quality output
Frontend Development
+ Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript
+ Build reusable component libraries and implement best practices for frontend architecture
+ Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency
+ Optimize applications for maximum speed, scalability, and accessibility
+ Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees
Backend Development
+ Develop and maintain RESTful APIs and backend services using Python or Java
+ Design and implement data models and database schemas
+ Deploy to cloud environments (primarily AWS)
+ Integrate with third-party services and APIs
+ Write clean, maintainable, and well-documented code
Palantir Foundry Development (Highly Preferred)
+ Build custom applications and integrations within the Palantir Foundry platform
+ Develop Ontology-based applications leveraging object types, link types, and actions
+ Create data pipelines and transformations using Python transforms
+ Implement custom widgets and user experiences using the Foundry SDK
+ Design and build functions that assist users to visualize and interact with their data
Product Development & Delivery
+ Research problems and break them into deliverable parts
+ Work with a Lean mindset and deliver value quickly
+ Participate in all stages of the product development and deployment lifecycle
+ Conduct code reviews and provide constructive feedback to team members
+ Work with product managers and stakeholders to define requirements and deliverables
+ Contribute to architectural decisions and technical documentation
**What We're Looking For:**
+ Experience with Palantir Foundry platform, required
+ 5+ years in web front-end or mobile development
+ Bachelor's or Master's degree in Computer Science or other related field, preferred
+ Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development
+ Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin
+ Experience with RESTful API design and development
+ Experience deploying to cloud environments (AWS preferred)
+ Understanding of version control systems, particularly GitHub
+ Experience with relational and/or NoSQL databases
+ Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn)
+ Experience with React, including React Native for mobile app development, preferred
+ Experience in Android or iOS development, preferred
+ Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred
+ Familiarity with CI/CD pipelines and DevOps practices, preferred
+ Experience with Spring framework, preferred
+ Working knowledge of Lean, User Centered Design, and Agile methodologies
+ Strong communication skills and ability to collaborate effectively across teams
+ Growth mindset - Aptitude and willingness to learn new technologies
+ Empathy - Kindness and empathy when building software for end users
+ Pride - Takes pride in engineering excellence and quality craftsmanship
+ Customer obsession - Obsessed with the end user experience of products
+ Strong problem-solving skills and attention to detail
+ Ability to work independently and as part of a balanced, multi-disciplinary team
+ Self-motivated with a passion for continuous learning and improvement
**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
Data Scientist, Product Analytics
Data scientist job in Harrisburg, PA
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Senior Data Scientist (AI/ML Federal Finance and Audit)
Data scientist job in New Cumberland, PA
Significance is a woman-owned consulting firm serving the federal government. We are known for building trusted relationships within our teams and with our clients and hiring the highest-level experts who implement innovative solutions. We also like to have fun! Our focus on culture has contributed to Significance being named a Washington Business Journal Best Place to Work each of the last seven years.
Join the growing team at Significance, Inc. as a Senior Data Scientist! This position requires an Active Secret clearance and offers a primarily remote schedule with occasional on-site work in New Cumberland, PA. The Senior Data Scientist leads the design, development, and deployment of AI/ML solutions within the Advana Mercury environment, supporting audit remediation, reconciliation, automated reporting, and enterprise inventory management. This role architects end-to-end pipelines, ensures compliance with DoD standards, and mentors junior staff to strengthen analytic capabilities across the enterprise.Required Skills:
Master's degree in Data Science, Computer Science, or related field.
10+ years of professional data science experience, with 5+ years supporting federal or DoD programs.
Expertise in Python, R, SQL, and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Strong experience integrating AI/ML into ERP systems, BI dashboards, and financial systems.
Proficiency with cloud-native deployments (AWS GovCloud, Azure Gov, Kubernetes, Docker).
Active Secret clearance.
Desired Skills:
Ph.D. in a related discipline.
Experience with audit remediation, reconciliation, or ERP financial modules.
Familiarity with DoD cybersecurity standards (IL4/IL5, NIST 800-53, FISMA).
Experience building RAG-enabled LLM solutions in Advana or other government enclaves.
Prior leadership of cross-functional AI/ML delivery teams.
$180,000 - $200,000 a year At Significance, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a comprehensive and generous benefits package.
We are an E-Verify Employer********************************************** Contents/E-Verify_Participation_Poster.pdf**************************************************************************************
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Auto-ApplySenior Data Scientist
Data scientist job in Harrisburg, PA
***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line.
*What you'll be doing:*
* Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making.
* Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
* Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
* Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders.
*What we look for in you:*
* A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
* Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
* Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
* Practical expertise in applying complex modeling frameworks to practical business problems.
* Professional experience using SQL and Python.
* Experience working with digital products in an iterative development cycle.
* Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process.
ID: G2462
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)).
Pay Range:
$180,370-$212,200 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations***********************************
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ****************************************************************
AI Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.
Senior Data Scientist
Data scientist job in Harrisburg, PA
**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience.
We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change.
**_Responsibilities_**
+ Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies.
+ Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications.
+ Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction.
+ Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs.
+ Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions.
+ Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives.
+ Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth.
+ Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care.
**_Qualifications_**
+ 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred
+ Bachelor's degree in related field, or equivalent work experience, preferred
+ GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth
+ Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model.
+ Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred.
+ Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred.
+ Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred.
+ Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred.
+ Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred.
+ Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred.
+ Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred.
+ Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred.
+ Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred.
+ Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred.
+ Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred.
**_What is expected of you and others at this level_**
+ Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
+ Participates in the development of policies and procedures to achieve specific goals
+ Recommends new practices, processes, metrics, or models
+ Works on or may lead complex projects of large scope
+ Projects may have significant and long-term impact
+ Provides solutions which may set precedent
+ Independently determines method for completion of new projects
+ Receives guidance on overall project objectives
+ Acts as a mentor to less experienced colleagues
**Anticipated salary range:** $121,600 - $173,700
**Bonus eligible:** Yes
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 11/05/2025
*if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Sr Data Engineer, PySpark
Data scientist job in Harrisburg, PA
**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