Data scientist jobs in Cleveland, OH - 77 jobs

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

About Goosehead Since 2003, Goosehead Insurance has been disrupting the insurance industry by giving clients the power of choice, utilizing a smarter marketing approach, and delivering world-class service. This is all powered by our focus on hiring and retaining extraordinary people. Our clients trust us with their most valuable possessions, so we're more than just a bit selective when it comes to hiring new team members. We're seeking an experienced Data Scientist who enjoys solving real-world problems with a hyper-focus on impact. Who You Are: You are a curious and experienced Data Scientist who enjoys solving real-world problems with a hyper-focus on impact. You're comfortable owning the full lifecycle of a project - from exploratory analysis to building and deploying models in production. You think critically, communicate clearly, and are passionate about driving measurable outcomes. You thrive in cross-functional teams and can bridge technical rigor with business context Key Responsibilities * Define and drive the vision for data science at Goosehead, identifying transformative opportunities across the enterprise. * Design, develop, and deploy production-grade machine learning systems that directly impact strategic priorities, including operational efficiency, intelligent automation, and client personalization. * Develop new frameworks and reusable methodologies to advance experimentation, model interpretability, and decision intelligence at scale. * Lead and mentor a team of data scientists, fostering a culture of technical excellence, creativity, and continuous learning. * Serve as a thought partner to executive leadership, translating business challenges into data science strategies and articulating impact through clear storytelling. * Establish and uphold best practices in data science operations - including reproducibility, model governance, and ethical AI principles. * Stay ahead of the curve in AI research, LLMs, and emerging technologies; drive adoption of innovations that position Goosehead as an industry leader. Required Qualifications * 8+ years of experience in data science, with a strong portfolio of impactful, end-to-end solutions in production environments. * Expertise in Python and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Deep experience with SQL and manipulating large-scale datasets across structured and unstructured formats. * Demonstrated ability to lead teams and mentor junior scientists while maintaining hands-on technical expertise. * Proven experience framing ambiguous business problems into structured, analytical solutions with measurable ROI. * Strong communication skills, with the ability to synthesize complex ideas for both executive and technical audiences. Preferred Qualifications * Experience with cloud platforms (Databricks, Azure, and/or Snowflake), containerization (e.g., Docker), and CI/CD for ML. * Advanced understanding of LLMs and generative AI, including fine-tuning, RAG pipelines, and prompt engineering. * Familiarity with causal inference, uplift modeling, or reinforcement learning in real-world systems. * Background in insurance, financial services, or similarly regulated industries. * Experience in leading cross-functional initiatives that combine data engineering, product, and business domains. Benefits Summary * High-quality voluntary health, vision, disability, life, and dental insurance programs * 401K Matching Plan * Employee Stock Purchase Plan * Paid holidays, vacation, and sick leave * Corporate-sponsored programs to enhance employee physical, financial, mental, and emotional wellness * Financial Solution Program Equal Employment Opportunity: Goosehead is an equal-opportunity employer and complies with all applicable federal, state, and local laws, rules, guidelines, and regulations. Goosehead strictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability. To learn more about our job opportunities, apply here. We look forward to speaking with you!

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine We are searching for the best talent for Data Scientist Purpose: As a Data Scientist in Global Finance Data Science Team: You will be contributing to a high standard delivery of data science driven predictive financial statements - consumed by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance the Data Science and AI roadmap for J&J's Global Finance function. You will assist in delivering value-added insights and analytics to our finance and business leaders, reduce manual work through automated reasoning, and enhance user-experience. You will be responsible for: You will mainly focus on advancing and broadening the capabilities of our Predictive Financial Statements, plugging results into SAP Analytics Cloud reporting - where most stakeholders go for corporate internal financial statements. Your job will also include aligning finance and business needs, validation of data from different source systems, and data reconciliation. You will mainly be required to create new models and leverage or extend the use of existing models for other financial statements. You will also enhance existing models for accuracy, speed and cost. You will be involved in data science projects across their lifecycle, from design to production and adoption by end users. This will include creating proof-of-concepts for new project, data science model development, data pipeline development and production deployment. The capabilities developed will include forecasting, descriptive analytics, data visualization, GenAI and decision support. This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions. You will be responsible for: Adopting a highly successful forecasting processes and technologies and delivering predictive financial statements monthly. Modeling the impact of future events to enhance forecast accuracy. Developing data pipelines for large datasets sourced from financial systems and automating data science processes. Documenting and aligning model changes within the team and stakeholders. Communicating insights to stakeholders leveraging data visualization tools. Monitoring model performance, and continuously improving existing models. Collaborating with finance, commercial leaders, technology teams, and external partners to deliver end-to-end solutions, ensuring compliance and risk management. Advocating for data-driven insights and data science methods across the organization and managing compliance adherence. Qualifications / Requirements: Minimum of 2 years of Data Science/ AI experience in an industry setting is required, preferably in a Finance or Healthcare setting. Minimum of a Bachelors degree is required, preferably in Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Technical Requirements Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS and Databricks or Domino. Experienced using finance data and SAP HANA data tables is a plus. Proficient in interpreting data sources and correlating to financial metrics. Able to work independently and under time pressure to deliver results, investigating and solving data issues in an explainable way. Skilled in data visualization and dashboarding using Tableau or PowerBI. Knowledgeable in statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. Strong data analytics skills and attention to detail. Other: The position will be located in New Brunswick, NJ and may require up to 10% travel. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via *******************/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JNJDataScience Required Skills: Artificial Intelligence (AI), Python (Programming Language) Preferred Skills: Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Writing, Coaching, Collaborating, Communication, Data Analysis, Data Compilation, Data Privacy Standards, Data Savvy, Data Science, Data Visualization, Econometric Models, Execution Focus, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : The anticipated base pay range for this position is $89,000 to $143,750 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TASKS * Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. * Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. * Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. * Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. * Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. * Ensure best practices in AI/ML model development, including versioning, testing, and validation. YOUR PROFILE * Proven experience (4-6 years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. * Extensive experience with machine learning algorithms, model development, and deployment. * Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras. * Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. * Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. * Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka. * Proficiency in programming languages such as Python, R, and Java. WHAT YOU'LL LOVE ABOUT WORKING HERE * Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Multisport. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Award-Winning Stability & Culture: Become part of an organization celebrated as 'Top Employer Poland 2024' - in the audit our stable and supportive work environment scored 100%! GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Scientist: Forecasting, BI to be in New Brunswick, NJ. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine Purpose: As a Senior Data Scientist in Global Finance Data Science Team: You will be responsible for delivering data science production processes to a high standard, contributing to products that are consumed and scrutinized by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance data science/AI roadmap for J&J's Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience. Project focus area will also include Predictive Sales Forecasting as part of SAP Analytics Cloud reporting capability, taking it from PoC to Production-grade standards. This includes aligning finance and business needs, input data validations from different source systems, data reconciliation/validations and work on other ongoing enhancements/ad-hoc requests from leadership etc. You will help in data science projects across their lifecycle: Design/ proof-of-concept (PoC), development, data pipelines and engineering, deployment, adoption by end-users and ongoing enhancements. The capabilities developed will include predictive financial forecasting, Gen AI, descriptive analytics, data visualization and decision support. You will need to ensure that PoC's are put into production-grade with correct amount of automation, data validations and systems/process integration. This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions. You will be responsible for: Adopting a highly successful forecasting process and technologies to deliver a monthly sales financial forecast for consumption by senior leaders Assessing BI sources to understand the impact of future events on forecast accuracy, developing judgement on how to adjust forecasts. Adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes. Iteratively improve the process and models to solve problems, testing and documenting changes, aligning changes within the team. Develop and deploy data science and AI solutions, including data processing, algorithm development, data visualization, and communication of insights to stakeholders. Research and implement statistical and machine learning models, monitor model performance, and continuously improve existing models. Collaborate with finance, commercial leaders, technology teams, and external partners to deliver end-to-end solutions, ensuring compliance and risk management. Advocate for data-driven insights and data science methods across the organization and managing compliance adherence. Qualifications / Requirements: Qualifications: Minimum of 5 years of Data Science/ AI experience in an industry setting is required, preferably in a Finance or Healthcare setting. Minimum of a Bachelors degree is required, preferably in Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Master's degree in a relevant field is preferred. Technical Requirements Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS, Azure, and Domino. Experienced using finance data and SAP HANA data tables is an advantage. Proficient in interpreting BI sources and understanding the impact of these on finance metrics. Able to work independently and under time pressure to deliver a process, investigating and solving data issues in an explainable way. Skilled in data visualization and dashboarding using Tableau or PowerBI. Knowledgeable in advanced statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. Proficient in end-to-end production deployment, from concept to production-grade models, and experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule. Familiar with automated workflow tools like Alteryx and workflow orchestration tools like Airflow, as well as standards and best practices for technical documentation using tools like JIRA and Confluence. Strong data analytics skills, attention to detail with business/finance logics, and experience working across multiple levels of stakeholders to create context around key business drivers. Other: The position will be located in New Brunswick, NJ and may require up to 10% travel. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via *******************/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. #JNJDataScience Required Skills: Data Science Preferred Skills: Alteryx, Healthcare Industry, Microsoft Power Business Intelligence (BI) Data Visualization, Python (Programming Language), R Programming, SAP HANA, Tableau Dashboard Development The anticipated base pay range for this position is : The anticipated base pay range for this position is $147,000 to $169,050 USD Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

The Senior Data Scientist plays a key role in leveraging advanced analytics and machine learning to solve complex business challenges. This position works closely with business partners to deliver actionable insights and drive strategic initiatives through data-driven solutions. Key Responsibilities & Required Skills: * Analyze large, diverse datasets to identify trends, patterns, and opportunities for business improvement. * Develop and implement statistical models, machine learning algorithms, and predictive analytics to address organizational needs. * Collaborate with internal teams to define analytical questions, design experiments, and translate business requirements into technical solutions. * Present findings and recommendations to stakeholders using clear visualizations and concise communication. * Demonstrate proficiency in programming languages such as Python and experience with machine learning frameworks and cloud platforms. * Utilize database technologies such as SQL and data visualization tools like Tableau and Power BI to support analysis and reporting. * Understand AI and Machine Learning frameworks such as Databricks, Snowflake, and Dataiku. Qualifications: * Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, or a related field, or equivalent professional experience. * Minimum 7 years of experience in data science, analytics, or artificial intelligence. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: FullTime Location: Cleveland, OH, US Job Type: Date Posted: January 8, 2026 Pay Range: $105,883 - $136,669 Similar Jobs * IT Manager Data Scientist * Data Scientist * Data Scientist * Marketing Data Scientist * R&D Senior Scientist

Seeking a Senior Data Scientist with hands-on experience in GenAI agent development and modern AI engineering. The focus is on building production-grade agents, MCP integrations, and enterprise knowledge systems using cloud and data stack. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Responsibilities: Build and refine GenAI agents that interact with internal systems Develop MCP tools and secure integrations Create and maintain knowledge bases and retrieval pipelines Implement agent evaluation frameworks and guardrails Work across Azure, Snowflake, and Databricks to support production AI systems Key Skills & Requirements: NEEDS to be a team player and work well with others Hands-on experience building and deploying GenAI agents (including open-source LLMs) in production environments Strong knowledge of MCP, tool integrations, and agent orchestration Proven ability to design and maintain knowledge bases, vector search, and retrieval systems independently Rapid GenAI prototyping (vibe coding) Cloud expertise: Azure (preferred), AWS, or GCP; secure, governed infrastructure Expert-level SQL skills; experience with Snowflake (flexible) Experience with Databricks for data, ML workflows, and predictive modeling Solid background in traditional ML (classification, clustering, etc.) Ability to build evals, guardrails, and safety layers for agents at scale Experience with MLOps and LLM Observability 5+ years of relevant experience; independent and collaborative team player Comfortable with LLMs and working in a team environment Azure, Databricks, and Snowflake expertise

Would you like to take ownership in a dynamic, high-growth business that truly walks the talk? Oswald Companies seeks goal-driven professionals ready to take their career to the next level. Responsible for performing and presenting data analysis for assigned accounts and complete special project deliverables in the Group Benefits Business Unit; conducts complex analysis and customized models on multi-national accounts across many lines of coverage and varying funding mechanisms. Supports sales growth and retention objectives. A Day in The Life: Manages large projects from inception and design through post-implementation assessment, working closely with internal departments and clients. Attends client meetings as lead data consultant; presents to key business leaders to explain analytical findings and financial recommendations; demonstrates strong client-facing skills and engenders client's confidence in the data recommendations / findings. Provides insight on various funding methodologies to include fully insured projections, carrier rating methodologies, self-insured stop-loss risk levels, and other alternative funding programs. Analyzes data to identify plan utilization, financial trends, and comparative industry benchmarks as the basis for preparing financial projections, utilizing benchmarking resources and tools, developing COBRA rates, and making recommendations for plan design modification. Ability to assess reasonableness of results of own work and establish strong peer review strategies; provides mentorship and coaching for Analysts and Senior Analysts. Interfaces with colleagues from other practices and markets on assignments that reflect the client's broader business issues. Collaborates with Client Executive to drive strategic direction with data-driven analysis; works closely to identify and develop solutions to minimize risk and maximize cost effectiveness. Accesses the data of existing clients to conduct a financial analysis of relevant information to aid in the evaluation of plan performance, both current and projected experience. Assist in RFP process for new business and participates in finalist meetings as the Analytics SME. Takes ownership of an assigned book of business. Provides internal teams with accurate deliverables in a timely fashion to meet client expectations; maintains a concise and consistent level of communication within the team. Collaborates with other Data Analytics team members to share knowledge and contribute to the design and utilization of client deliverables; remains current on compliance regulations and incorporates that knowledge into existing data analytics tools; builds team synergy for department effectiveness. Prioritizes and manages workload effectively, thinks through issues and determines alternative solutions to meet deadlines and improve personal productivity. What You'll Need: Bachelor's degree in actuarial science, Finance, Mathematics, Economics, Statistics, or related field from a four-year college or university Ten or more years of related experience or the equivalent combination of education and experience. Prior Experience Specifically Required Prior experience gathering, manipulating, and deciphering data required. Prior experience in delivering analytical findings and recommendations required. Prior experience working in a group benefits environment required. Prior analytical and research experience required. Who You Are: The specific personal traits required to accomplish the essential duties of this job successfully include: Strong attention to detail particularly with mathematical information Strong organizational skills with the ability to prioritize accordingly. Ability to focus on work-at-hand; not easily distracted. Exceptional written and verbal communication skills Demonstrated resourcefulness; works well independently and on a team. Manages stress well. Self-confident with capable interpersonal skills Strong client-facing and presentation abilities Who is Oswald? Oswald is a 129-year-old company that creates a world of protection around the lives and businesses of our clients. We are an independent, employee-owned company. So, essentially, you own your own success in a personally and financially rewarding opportunity. Inclusivity is a priority. We foster an environment of collaboration and belonging where our Employee-Owners thrive on their unique path. Our diverse talent reflects the communities and clients we serve, while driving unmatched risk and insurance innovations. Our people-first culture and client service excellence have built our reputation of integrity, resourcefulness, and a relentless care for our clients and employees. Don't believe us? Ask your friends, colleagues, and mentors about Oswald. There's a reason Oswald has been named a Top Workplace for nine consecutive years. What you'll get... At Oswald, you will have the opportunity to build a long-term career with unlimited growth potential. Aim high, work hard and we'll help you achieve your goals. At Oswald, you will experience our caring work environment. We care about our Employee-Owners, we care about our customers, and we care about the world around us. Our caring personality comes to life in the form of volunteering in the community. We even give employees paid time off to volunteer with an organization of their choice. At Oswald, you will achieve a work-life balance. We care about your physical and emotional well-being, so work-life balance is encouraged and practiced. We understand you have a life outside of work, and we want you to live it. At Oswald, you will have access to a world-class Total Rewards package. We truly value our people, which shows in our compensation, benefits, and perks. In addition to competitive pay, we have designed a performance-based annual incentive program. All employees are eligible to earn a bonus by meeting performance objectives. Comprehensive medical, dental and vision plans and numerous supplemental benefit offerings. Paid time off annually and a sabbatical at every 10-year service anniversary. Ownership in the company in the form of company stock (discretionary profit-sharing and 401(k) match contribution) Assistance with parking expenses, discount programs for area services/experiences, and financial support for professional development and licensure/designations Access to specialized leadership development programming designed to take your career to the next level. And so much more! To learn more about Oswald, our culture and everything we have to offer, visit us on LinkedIn. Oswald, a Unison Risk Advisors company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic.

Description We are looking for a skilled ADP Data Extraction Consultant to join our team in Cleveland, Ohio. In this long-term contract position, you will play a vital role in supporting HR and payroll data operations by extracting, transforming, and integrating data into Workday systems. This opportunity is ideal for candidates with expertise in scripting and database management who thrive in collaborative environments. Responsibilities: - Extract and transform HR and payroll data from ADP systems for integration into Workday. - Create and maintain scripts using Python or PowerShell to streamline manual workflows and repetitive tasks. - Collaborate with HR and IT teams to address reporting needs and ensure seamless data integration. - Monitor and troubleshoot data-related issues to maintain system optimization and accuracy. - Ensure compliance and data integrity across all processes and workflows. - Develop and implement solutions to improve automation and efficiency within the data management framework. - Support ongoing improvements and enhancements to Workday and ADP systems. - Maintain documentation for processes and scripts to facilitate knowledge sharing and operational consistency. - Conduct regular reviews of data structures within ADP and Workday to ensure accuracy and alignment. - Provide technical guidance to stakeholders on data extraction and integration best practices. Requirements - Minimum of 2 years of experience in database administration or data analysis. - Proficiency in scripting languages such as Python or PowerShell. - Strong knowledge of ADP systems and data structures. - Familiarity with Workday HRIS and integration processes. - Hands-on experience with Microsoft SQL and configuration management. - Ability to troubleshoot and resolve data-related issues effectively. - Excellent communication and collaboration skills to work with cross-functional teams. - Strong attention to detail and commitment to maintaining data accuracy and compliance. Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .

Responsible for performing and presenting data analysis for assigned accounts and complete special project deliverables in the Group Benefits Business Unit; conducts complex analysis and customized models on multi-national accounts across many lines of coverage and varying funding mechanisms. Supports sales growth and retention objectives. A Day in The Life: Manages large projects from inception and design through post-implementation assessment, working closely with internal departments and clients. Attends client meetings as lead data consultant; presents to key business leaders to explain analytical findings and financial recommendations; demonstrates strong client-facing skills and engenders client's confidence in the data recommendations / findings. Provides insight on various funding methodologies to include fully insured projections, carrier rating methodologies, self-insured stop-loss risk levels, and other alternative funding programs. Analyzes data to identify plan utilization, financial trends, and comparative industry benchmarks as the basis for preparing financial projections, utilizing benchmarking resources and tools, developing COBRA rates, and making recommendations for plan design modification. Ability to assess reasonableness of results of own work and establish strong peer review strategies; provides mentorship and coaching for Analysts and Senior Analysts. Interfaces with colleagues from other practices and markets on assignments that reflect the client's broader business issues. Collaborates with Client Executive to drive strategic direction with data-driven analysis; works closely to identify and develop solutions to minimize risk and maximize cost effectiveness. Accesses the data of existing clients to conduct a financial analysis of relevant information to aid in the evaluation of plan performance, both current and projected experience. Assist in RFP process for new business and participates in finalist meetings as the Analytics SME. Takes ownership of an assigned book of business. Provides internal teams with accurate deliverables in a timely fashion to meet client expectations; maintains a concise and consistent level of communication within the team. Collaborates with other Data Analytics team members to share knowledge and contribute to the design and utilization of client deliverables; remains current on compliance regulations and incorporates that knowledge into existing data analytics tools; builds team synergy for department effectiveness. Prioritizes and manages workload effectively, thinks through issues and determines alternative solutions to meet deadlines and improve personal productivity. What You'll Need: Bachelor's degree in actuarial science, Finance, Mathematics, Economics, Statistics, or related field from a four-year college or university Ten or more years of related experience or the equivalent combination of education and experience. Prior Experience Specifically Required Prior experience gathering, manipulating, and deciphering data required. Prior experience in delivering analytical findings and recommendations required. Prior experience working in a group benefits environment required. Prior analytical and research experience required. Who You Are: The specific personal traits required to accomplish the essential duties of this job successfully include: Strong attention to detail particularly with mathematical information Strong organizational skills with the ability to prioritize accordingly. Ability to focus on work-at-hand; not easily distracted. Exceptional written and verbal communication skills Demonstrated resourcefulness; works well independently and on a team. Manages stress well. Self-confident with capable interpersonal skills Strong client-facing and presentation abilities

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Business Functions, Data Science, Data Solutions Certifications: None Experience: 5 + years of related experience US Citizenship Required: No Job Description: Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As a Data Engineer at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward. We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and deliver enterprise-grade solutions that integrate AI, data, and human-AI collaboration workflows across key business functions (e.g., Growth, Finance, HR, Legal, and Supply Chain). We are looking for a highly skilled Data Engineer (Agentic AI) who shares a passion for delivering data engineering for agentic AI applications and building an AI-first data ecosystem foundational to enterprise AI transformation. MEANINGFUL WORK AND PERSONAL IMPACT: Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents Implement data quality, observability, and governance best practices across data pipelines and products Optimize performance and cost across storage, compute, orchestration, and serving layers Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions WHAT YOU'LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Data Engineer must have: Education: Bachelor's degree in Computer Science/Engineering, Data Science, or a related field Experience: 5+ years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance Role requirements: Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL). Strong collaboration and communication skills in cross-functional enterprise environments. Preferred Skills and Abilities: Master's degree in Computer Science/Engineering, Data Science, or a related field. Relevant certifications in Data Engineering, AI, or Cloud. Experience delivering data engineering for agentic AI applications. Experience with retrieval-based AI data foundations (document processing, metadata, embeddings, vector or hybrid search). Familiarity with agent workflows and how agents interact with data services and tools in production. Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS, Experience in real-time streaming applications or other high-velocity solutions. Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation. Location: This is a hybrid position working at our GDIT facility in Falls Church, VA. Must be comfortable working (3) days a week onsite. US Persons required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $119,000 - $161,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Hybrid Work Location: USA VA Falls Church Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

PartsSource is the leading technology and software platform for managing mission-critical healthcare equipment. Trusted by over 5,000 US hospitals and 15,000 clinical sites, PartsSource empowers providers and service organizations to maximize clinical availability for patient care and automates the procurement of parts, services and training through a unique digital experience. PartsSource team members are deeply committed to our mission of Ensuring Healthcare is Always On , which is foundational to our success and growth. Our vibrant culture is built upon aligned values, shared ownership, mutual respect, and a passion for collaborating to solve complex customer problems. About the Job Opportunity The GTM Data Engineer is responsible for building and maintaining a single, trusted customer and revenue data foundation across Marketing, Sales, and Customer Success. This role partners closely with Revenue Operations to ensure all GTM teams operate from a consistent source of truth for pipeline, revenue, retention, and growth. You will own how GTM data is structured, enriched, validated, and made available-eliminating data ambiguity and enabling confident, data-driven decision making. What You'll Do GTM Data Modeling & Governance (Technology - Data Engineering: Data Modeling & Architecture, Data Quality & Governance) Design and maintain the canonical customer, account, and revenue data model across GTM systems Resolve identity across contacts, accounts, users, assets, services, and subscriptions Define authoritative objects and metrics for pipeline, bookings, renewals, expansion, and churn Ensure historical accuracy, data lineage, and consistent metric definitions Data Enrichment, Integration & Pipelines (Technology - Data Engineering: ETL & Data Integration, Data Pipeline Development) Build and manage data pipelines across CRM, marketing automation, services, and financial systems Identify data gaps and implement enrichment strategies to improve completeness and usability Merge datasets into unified customer and account views with clear conflict-resolution rules Own schema changes, backfills, reprocessing, and validation as systems evolve Attribution, Revenue Logic & Reporting Enablement (Sales Revenue Operations: Performance Metrics & Reporting, Sales Analytics) Implement approved attribution and revenue logic consistently across channels and time periods Validate sourced, influenced, and assisted revenue before executive reporting Enable trusted funnel, pipeline, retention, and expansion reporting within systems of record Reduce reliance on spreadsheets and manual reconciliation GTM Architecture, CDP & AI Readiness (Technology - Systems & Applications: Systems Integration, Systems Thinking) Support a warehouse-centric or composable CDP approach for GTM data Partner with GTM leadership to evolve long-term data architecture Prepare high-quality, LLM-ready datasets for AI-enabled GTM workflows Ensure access controls, privacy, and compliance requirements are met What You'll Bring Your Background 5+ years in data engineering, analytics engineering, or GTM data roles Strong experience with CRM and GTM data models Advanced SQL skills and experience with modern data stacks and ETL tools Experience supporting attribution, lifecycle, and revenue reporting Familiarity with Customer Data Platforms or warehouse-centric CDP approaches Ability to work cross-functionally with Marketing, Sales, Customer Success, Finance, and RevOps Who We Want to Meet Act Like an Owner - Accountability & Execution : You take full ownership of GTM data quality and follow through to reliable outcomes. Serve with Purpose - Business Impact : You connect data architecture decisions to revenue visibility and GTM effectiveness. Adapt to Thrive - Managing Ambiguity : You remain productive amid evolving systems, definitions, and priorities. Collaborate to Win - Influence & Communication : You partner effectively with RevOps and GTM teams to align on shared metrics. Challenge the Status Quo - Data-Informed Decision Making : You use evidence and clarity to replace assumptions and debates. Benefits & Perks Competitive compensation package with salary, incentives, company ownership/equity, and comprehensive benefits (401k match, health, college debt reduction, and more!) Career and professional development through training, coaching and new experiences. Hybrid culture with new & beautiful workspaces that balance flexibility, collaboration, and productivity. Inclusive and diverse community of passionate professionals learning and growing together. Interested? We'd love to hear from you! Submit your resume and an optional cover letter explaining why you'd be a great fit. About PartsSource Since 2001, PartsSource has evolved into the leading technology and software platform for managing mission-critical equipment, serving over half of the U.S. hospital infrastructure. Our digital systems modernize and automate the procurement of parts, services, technical support, and training for HTM professionals to efficiently and effectively maintain their mission-critical equipment. PartsSource employs over 700 employees nationwide that committed to supporting healthcare providers and ensuring healthcare always on. In 2021, Bain Capital invested in the business, further accelerating our growth and positive impact within the healthcare industry. Read more about us here: · PartsSource Named to Newsweek's List of the Top 200 America's Most Loved Workplaces for 2024 · PartsSource Named Among the Top 50 Healthcare Technology Companies of 2025 · PartsSource Named Among the Top 25 Healthcare Software Companies of 2025 · PartsSource President and CEO Philip Settimi Named to Top 50 Healthcare Technology CEO List 2025 · WSJ: Bain Capital Private Equity Scoops Up PartsSource EEO PartsSource, Inc., and its affiliates and subsidiaries, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Legal authorization to work in the U.S. is required.

**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.

PNC Bank is seeking a Junior Data Engineer to support the design, development, and maintenance of scalable data pipelines and data platforms that enable analytics, reporting, and regulatory compliance. This role is ideal for early-career professionals eager to build hands-on experience in enterprise data engineering within the financial services domain. Key Responsibilities Assist in building and maintaining ETL/ELT pipelines to ingest, transform, and load data from multiple source systems.Support development of batch and near real-time data processing workflows.Work with structured and semi-structured data using SQL and Python.Participate in data validation, reconciliation, and quality checks to ensure accuracy and completeness.Collaborate with senior data engineers, data analysts, and business stakeholders to understand data requirements.Help manage data storage solutions such as data warehouses and data lakes.Assist with documentation of data models, pipelines, and operational processes.Follow data governance, security, and compliance standards relevant to banking and financial services.Monitor data pipelines and troubleshoot failures under guidance.Support deployment and version control using Git and CI/CD practices. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.1-3 years of experience or strong academic/project experience in data engineering or data analytics.Proficiency in SQL (joins, subqueries, performance tuning basics).Working knowledge of Python for data processing.Basic understanding of ETL concepts, data modeling, and data warehousing.Familiarity with relational databases (Oracle, PostgreSQL, SQL Server, or similar).Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.Experience with version control tools such as Git. Preferred / Nice-to-Have Skills Exposure to Big Data technologies (Spark, Hadoop).Familiarity with cloud data services (AWS S3, Glue, Redshift, Azure Data Factory, Snowflake).Understanding of banking or financial data, including transactions, risk, or regulatory reporting.Knowledge of data quality frameworks and basic data governance concepts.Experience with workflow orchestration tools (Airflow, Control-M). Soft Skills Strong analytical and problem-solving skills.Willingness to learn and adapt in a regulated environment.Good communication and documentation skills.Ability to work effectively in a team-oriented, Agile environment.

Ready to help build a better future for generations to come? In an ever-changing, fast paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions. Join us and make a difference! Your future team You will join our Factory of the Future team within Group R&D - a passionate community of specialists who develop and implement the latest technologies for stone wool production. Our team's mission is to transform the way we operate by building next-generation OT & IT solutions that drive smarter, more efficient, and more sustainable manufacturing. As part of this journey, we are expanding our Data Science and Engineering capabilities and you could be a key part of it. What you will be doing * Design, build, and automate data pipelines for industrial process analysis * Create systems for efficient storage and access to large-scale operational data * Ensure data quality, reliability, and accessibility for ML model training and deployment * Develop real-time visualizations and dashboards to monitor industrial operations * Engineer data infrastructure for deploying ML solutions both on-premises and in the cloud * Evaluate and validate new technologies in production environments * Collaborate closely with Data Scientists and stakeholders to align technology across all levels of the organization What you bring * 2+ years of experience in data engineering, preferably in a production or industrial setting * Degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical foundations) * Experience with relational and non-relational databases (SQL, NoSQL, InfluxDB) * Solid programming skills in Python * Strong knowledge of data pipelines and ELT processes * Proficiency in data warehousing and data lake technologies (on-prem & cloud) * Hands-on experience with on-premise data infrastructure * Experience with big data frameworks (Kafka, Apache Spark, Flink) * Understanding of IT/OT convergence and data quality management * Familiarity with cloud platforms (AWS, Azure, or GCP) * Experience with DevOps tools * Familiarity with Linux environments Tools and technologies you'll work with * Data storage: PostgreSQL, MS SQL Server, MongoDB, S3/MinIO * Transformation & orchestration: DBT, Apache Airflow, Luigi * Big data: Apache Kafka, Apache Flink, Apache Spark * Cloud platforms: AWS S3, Azure Blob Storage, GCP Cloud Storage * Visualization: Grafana, Apache Superset, Power BI * DevOps: Git, Docker, CI/CD, OpenShift What we offer By joining our team, you become a part of the people-centric work environment of a Danish company. We offer you a competitive salary, permanent contract after the probation period, development package, team building events, activity-based office in Poznan's city center in the new prestigious office building - Nowy Rynek. The building is recognized as a building without barriers, which means that it is fully adapted to the needs of people with disabilities. Our compensation package on employment contracts includes: * An office-first approach: home office is available up to 1 day per week * Adaptable Hours: start your workday anytime between 7:00 AM and 9:00 AM * Home office subsidy * Private Medical Care * Multikafeteria MyBenefit * Wellbeing program * Extra Day Off for voluntary activities … and while in the office you can also use modern office space with beautiful view and high standard furniture, bicycle parking facilities & showers, chill-out rooms with PlayStation, football table, pool table, board games, subsidized canteen with delicious food & fruit. Interested? If you recognize yourself in this profile and challenge, we kindly invite you to apply with CV written in English. Who we are We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe, sustainable products that help people and communities thrive. We are a global company with more than 12,200 employees, located in 40+ countries with 42 manufacturing facilities… all focused on one common purpose - to release the natural power of stone to enrich modern living. Sustainability is central to our business strategy. ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDGs) framework and are actively committed to 11 SDGs, including SDG 14, Life Below Water. Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the ROCKWOOL Denmark SailGP team, we will help raise awareness around ocean health challenges in an effort to accelerate solutions to protect it. Diverse and Inclusive Culture We want all our people to feel valued, respected, included and heard. We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees. At ROCKWOOL, you will experience a friendly team environment. Our culture is very important to us. In fact, we refer to our culture as "The ROCKWOOL Way". This is the foundation in which we operate and is based upon our values of ambition, responsibility, integrity and efficiency.

Job Title: Data Engineer We are seeking a Data Engineer to join our growing Big Data team. In this role, you will design and implement data models, build semantic layers, create data extracts, and develop robust data pipelines to ingest data into our data warehouse. You will collaborate with BI developers, data analysts, and data scientists to support a variety of data initiatives. The ideal candidate is self-directed, highly organized, and comfortable managing the data needs of multiple teams, systems, and products. This is a hybrid position: 4 days per week onsite in Middleburg Heights, OH following initial 3 month/5 day onsite period. Visa sponsorship not available. Key Responsibilities: Design, build, and maintain data pipelines for optimal extraction, transformation, and loading (ETL) from diverse sources into our Snowflake Data Warehouse. Perform data analysis, mapping, and validation across multiple sources and formats to produce consolidated data models. Assemble large, complex datasets to meet technical requirements for reporting, extraction, and analytics. Define and implement semantic layers on top of data models for reporting and analytical purposes. Create custom data extracts to support ad-hoc reporting requests. Identify and implement process improvements, including automation of manual tasks, pipeline optimization for scalability and performance, and data model enhancements for query efficiency. Support Data Science initiatives by creating and automating pipelines for model training datasets. Maintain and optimize the Snowflake environment, including monitoring consumption, configuring warehouses, managing role-based security, applying environment changes, and evaluating new functionality. Collaborate with stakeholders such as BI Developers, Product Owners, Data Scientists, and Architects to resolve data-related technical issues and support infrastructure needs. Ensure compliance with PHI and HIPAA standards and guidelines. Perform other duties as assigned. Education / Experience: 3+ years of experience in data engineering, including building and optimizing ETL processes, data pipelines, and datasets. Strong understanding of data engineering principles and best practices. Hands-on experience working with structured and unstructured datasets. Proven ability to analyze datasets to answer business questions and identify improvement opportunities. Preferred experience with Snowflake, Microsoft SQL Server, Microsoft Fabric, and Python. Experience with C# and/or Java is a plus. Strong project management and organizational skills. Demonstrated success working with cross-functional teams in dynamic environments. Familiarity with Scrum/Agile development methodologies is a plus. Medical billing knowledge is a plus.

At STERIS, we help our Customers create a healthier and safer world by providing innovative healthcare and life science product and service solutions around the globe. The Lead Data Engineer demonstrates mastery of skills and knowledge and is a mentor, strategist, thought leader, evangelist, champion, Plans and leads data engineering activities. Responsible for overseeing the design, development, deployment, and maintenance of scalable and robust data solutions. Develops and manages data integration pipelines connecting disparate data sources. Works closely with data architects, data scientists, analysts, and other stakeholders to support business needs in analytical and data solutions/projects. Collaborates with Infrastructure and DBA teams to ensure appropriate infrastructure is in place. Optimizes and streamlines data processing efforts to ensure data quality, security, privacy, on time delivery and compliance. Provides technical leadership, mentorship, reviews deliverables and provides feedback to the data engineering team. What You'll do as a Lead Data Engineer * Data Architecture and Technical Infrastructure: Defines, plans, designs and support implementation of enterprise data architectures and enterprise data platform. Plans and leads data engineering activities for strategic, large, and complex programs. Leads the selection and development of data engineering methods, tools, and techniques. * SDLC Methodology & Project Management: Plans technical transitions between development, testing, and production phases of solutions' lifecycle, and the facilitation of the change control, problem management, and communication processes. * Innovation, Continuous Improvement & Optimization: Develops organizational policies, standards, and guidelines for the development and secure operation of data services and products. Ensures adherence to technical strategies and architectures. * Data Modelling / Designing Datasets: Coordinates the application of analysis, design, and modelling techniques to establish, modify or maintain data structures and their associated components. Manages the iteration, review and maintenance of data requirements and data models. * Partnership and Community Building: Collaborates with other IT teams, business community, data scientists and other architects to meet business requirements. * Data Pipeline/ETL: Sets standards for data modelling and design tools and techniques, advises on their application, and ensures compliance. Defines and implements administration and control activities related to data warehouse planning and development and the establishment of policies and procedures pertaining to its management, security, maintenance, and utilization. * Support & Operations: Manages the investigation of enterprise data requirements based upon a detailed understanding of information requirements. * Data Governance and Data Quality: Ensures that data is reliable, secure, and timely. Implement Data privacy and best practices. Defines, designs and implements data quality assessment and improvement methodology, processes and solutions. * End-User Support, Education and Enablement: Plans, designs, develops and facilitates training and Data Literacy initiatives within the team and End user community. * Metadata Management & Documentation: Ensure standards, and best practices in documentation of Metadata, Data Engineering processes and Architectures. The Experience, Abilities and Skills Needed * Bachelor's Degree and 6+ years of experience * Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemas * Developing complex SQL queries and SQL optimization * Development experience must be full Life Cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business * Intelligence/Data Warehousing Architecture. * Designing and implementing data security * Monitoring and optimizing data storage and data processing * Delivering Data Solutions using Cloud Technologies * Advanced SQL skills and experience with relational databases and database design like Oracle and SQLSERVER. * Significant experience working with cloud Data Warehouse and Data Lake solutions (e.g., Snowflake, Redshift, BigQuery, Azure Data Lake Storage, Amazon S3, etc.) * Experience working with data ingestion tools such as: Informatica, IDMC, IICS, Power Center, Fivetran, stitch, or Matillion. * Working knowledge of Cloud-based solutions (e.g., Azure, AWS and GCP). * Experience building and deploying machine learning models in production. * Strong proficiency in object-oriented languages: Python, Java, C++, Scala. * Strong proficiency in scripting languages like Bash. * Strong proficiency in data pipeline and workflow management tools (e.g., Airflow, Azkaban). * Familiarity with big data frameworks such as Apache Hadoop and Apache Spark * Strong project management and organizational skills. * Excellent problem-solving, communication, and organizational skills. * Demonstrated leadership experience and skills * Ability to communicate effectively and influence technical and business stakeholders at all levels of the organization What STERIS Offers At STERIS, we invest in our employees and their families for the long term! STERIS wouldn't be where it is today without our incredible people. We shares our success together with you by rewarding you for your hard work and achievements. Here is just a brief overview of what we offer: * Competitive Pay * Extensive Paid Time Off and (9) added Holidays. * Excellent healthcare, dental, and vision benefits * 401(k) with a company match * Long/Short term disability coverage * Parental Leave * Additional add-on benefits/discounts for programs such as Pet Insurance * Continued training and educations programs * Excellent opportunities for advancement in a stable long-term career * #LI-KS1 #LI-Hybrid Pay range for this opportunity is $105,000-$125,000. This position is eligible for bonus participation. Minimum pay rates offered will comply with county/city minimums, if higher than range listed. Pay rates are based on a number of factors, including but not limited to local labor market costs, years of relevant experience, education, professional certifications, foreign language fluency, etc. STERIS offers a comprehensive and competitive benefits portfolio. Click here for a complete list of benefits: STERIS Benefits Open until position is filled. STERIS is a leading global provider of products and services that support patient care with an emphasis on infection prevention. WE HELP OUR CUSTOMERS CREATE A HEALTHIER AND SAFER WORLD by providing innovative healthcare and life sciences products and services around the globe. For more information, visit *************** If you need assistance completing the application process, please call ****************. This contact information is for accommodation inquiries only and cannot be used to check application status. STERIS is an Equal Opportunity Employer. We are committed to equal employment opportunity to ensure that persons are recruited, hired, trained, transferred and promoted in all job groups regardless of race, color, religion, age, disability, national origin, citizenship status, military or veteran status, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, genetic information, and any other category protected by federal, state or local law. We are not only committed to this policy by our status as a federal government contractor, but also we are strongly bound by the principle of equal employment opportunity. The full affirmative action program, absent the data metrics required by § 60-741.44(k), shall be available to all employees and applicants for employment for inspection upon request. The program may be obtained at your location's HR Office during normal business hours.

Join the Cleveland Clinic team where you will work alongside passionate caregivers and make a lasting, meaningful impact on patient care. Here, you will receive endless support and appreciation while building a rewarding career with one of the most respected healthcare organizations in the world. The Senior Data Engineer will extract, transform, and integrate data from diverse clinical systems-including Epic Clarity, third-party APIs, and other internal and external sources-using SQL, Python, and additional programming languages as needed. The role ensures seamless integration of structured, semi-structured, and unstructured data within Snowflake and Databricks environments, with familiarity in REDCap databases considered a plus. This position plays a key role in organizing, managing, and optimizing the organization's data ecosystem, enabling enhanced decision-making across clinical operations and research. You will be responsible for designing, building, and maintaining scalable data pipelines, data warehouses, and data lakes that support clinical and financial reporting. The role is full time (40 hours per week), Monday through Friday from 8:00 a.m. to 5:00 p.m., with minimal weekend or holiday work and occasional on-call coverage as needed. The caregiver must work onsite at Cleveland Main Campus, with eligibility for a hybrid work arrangement after 90 days. A caregiver who excels in this role will: * Analyze, design and coordinate the development of software systems. * Develop new software and proof/test them to assure production of a quality product. * Analyze current programs and processes. * Make recommendations for more cost-effective products and better streamlined workflows. * Define and implement high performance software by leveraging a strong understanding of embedded hardware design. * Provide technical support to other Developers when project support is needed, including the design of relational databases and client-side programming strategies using the latest HTML, CSS and JavaScript frameworks. * Determine and communicate the implications of system-level decisions on subsystems and components and mitigate issues. * Translate clinical problems into innovative healthcare solutions. * Gather business and application specific requirements. * Ensure all requirements are met as well as maintained within defined project scope. * Determine whether a particular problem is caused by hardware, operating systems software, application programs or network failures and supporting as necessary. Minimum qualifications for the ideal future caregiver include: * Bachelor's Degree in Computer Science, Computer Engineering or a related field and 10 years of software development experience and healthcare software development * OR High School Diploma/GED and 15 years of experience * OR Associate's Degree and 13 years of experience * ITIL Foundations Certification within six months of hire * Proven track record of enterprise architecture experience with large volume, high availability enterprise applications. * Experience with Microsoft, Net Technology Stack and Relational Database Design * Microsoft C#, iOS Objective C, VBScript, Visual Basic, ColdFusion, Microsoft T-SQL, JavaScript, CCSS3 and/or HTML5 experience * Query, query Mobile, KnockoutJS, UnderscoreJS and/or YUI Compressor experience * Experience in interfacing with internal and external customers * SOA development using SOAP and REST; mobile application development and associated libraries experience Preferred qualifications for the ideal future caregiver include: * Experience with hospital or medical systems Physical Requirements: * Ability to perform work in a stationary position for extended periods. * Ability to travel throughout the hospital system. * Ability to operate a computer and other office equipment. * Ability to communicate and exchange accurate information. Personal Protective Equipment: * Follows Standard Precautions using personal protective equipment as required for procedures. Pay Range Minimum Annual Salary: $92,620.00 Maximum Annual Salary: $141,265.00 The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate's actual compensation will be determined after taking factors into consideration such as the candidate's work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic's benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.).

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Scientist, Accounting and ERP to be in New Brunswick, NJ. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine Purpose: As a Senior Data Scientist in Global Finance Data Science Team, you will be responsible for delivering data science production processes to a high standard, contributing to products that are consumed and scrutinized by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance data science/AI roadmap for J&J's Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience. Project focus areas will include the application of Machine Learning and Generative AI to technical accounting use cases, and using data from SAP Hana, Datahub and Datasphere. This includes aligning finance and business needs, input data validations from different source systems, data reconciliation/validations and work on other ongoing enhancements/ad-hoc requests from leadership etc. You will aid data science projects across their lifecycle: Design/ proof-of-concept (PoC), development, data pipelines and engineering, deployment, adoption by end-users and ongoing enhancements. The capabilities developed will include predictive, Gen AI, descriptive analytics, data visualization and decision support. You will need to ensure that PoC's are put into production-grade with correct amount of automation, data validations and systems/process integration. This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions. You will be responsible for: Develop data science solutions based on the needs of business/ finance stakeholders. Build and adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes. Understanding the nuances of accounting and finance data so this can be appropriately applied in Machine Learning and AI models. Iteratively improve the process and models to solve problems, testing and documenting changes, aligning changes within the team. Develop and deploy data science and AI solutions, including data processing, algorithm development, data visualization, and communication of insights to stakeholders. Research and implement statistical and machine learning models, monitor model performance, and continuously improve existing models. Collaborate with finance, commercial leaders, technology teams, and external partners to deliver end-to- end solutions, ensuring compliance and risk management. Experienced using accounting data within SAP data tables, understanding the contents of tables and how they are used within the accounting process. Knowledge of Python programming and Data Science Cloud platforms like AWS, Databricks, and Domino. Able to work independently and under time pressure to deliver a process, investigating and solving data issues in an explainable way. Skilled in data visualization and dashboarding using Tableau or PowerBI. Knowledgeable in advanced statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. Experience of end-to-end production deployment, from concept to production-grade models, and experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule. Familiar with automated workflow tools like Alteryx and workflow orchestration tools like Airflow, as well as standards and best practices for technical documentation using tools like JIRA and Confluence. Strong data analytics skills, attention to detail with business/finance logics, and experience working across multiple levels of stakeholders to create context around key business drivers. Qualifications / Requirements: Minimum of 5 years of Data Science/ AI experience in an industry setting, preferably in a Finance or Healthcare setting. Alternatively: 5+ years accounting experience with intensive use advanced analytics and data handling techniques. Minimum of Bachelors degree required, within Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Master's degree in a relevant field preferred. Other: Located in New Brunswick, NJ with up to 5% travel. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via *******************/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. #JNJDataScience Required Skills: Accounting, Advanced Analytics, Data Science Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay range for this position is $147,000 to $169,050 USD Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************